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@@ -86,8 +86,6 @@ module.exports = {
|
||||
// imageviewer.js
|
||||
modalPrevImage: "readonly",
|
||||
modalNextImage: "readonly",
|
||||
// token-counters.js
|
||||
setupTokenCounters: "readonly",
|
||||
// localStorage.js
|
||||
localSet: "readonly",
|
||||
localGet: "readonly",
|
||||
|
||||
+121
@@ -1,3 +1,124 @@
|
||||
## 1.8.0-RC
|
||||
|
||||
### Features:
|
||||
* Update torch to version 2.1.2
|
||||
* Soft Inpainting ([#14208](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14208))
|
||||
* FP8 support ([#14031](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14031), [#14327](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14327))
|
||||
* Support for SDXL-Inpaint Model ([#14390](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14390))
|
||||
* Use Spandrel for upscaling and face restoration architectures ([#14425](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14425), [#14467](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14467), [#14473](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14473), [#14474](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14474), [#14477](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14477), [#14476](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14476), [#14484](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14484), [#14500](https://github.com/AUTOMATIC1111/stable-difusion-webui/pull/14500), [#14501](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14501), [#14504](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14504), [#14524](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14524), [#14809](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14809))
|
||||
* Automatic backwards version compatibility (when loading infotexts from old images with program version specified, will add compatibility settings)
|
||||
* Implement zero terminal SNR noise schedule option (**[SEED BREAKING CHANGE](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Seed-breaking-changes#180-dev-170-225-2024-01-01---zero-terminal-snr-noise-schedule-option)**, [#14145](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14145))
|
||||
* Add a [✨] button to run hires fix on selected image in the gallery (with help from [#14598](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14598), [#14626](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14626), [#14728](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14728))
|
||||
* [Separate assets repository](https://github.com/AUTOMATIC1111/stable-diffusion-webui-assets); serve fonts locally rather than from google's servers
|
||||
* Official LCM Sampler Support ([#14583](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14583))
|
||||
* Add support for DAT upscaler models ([#14690](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14690))
|
||||
* Extra Networks Tree View ([#14588](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14588), [#14900](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14900))
|
||||
* NPU Support ([#14801](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14801))
|
||||
* Propmpt comments support
|
||||
|
||||
### Minor:
|
||||
* Allow pasting in WIDTHxHEIGHT strings into the width/height fields ([#14296](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14296))
|
||||
* add option: Live preview in full page image viewer ([#14230](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14230), [#14307](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14307))
|
||||
* Add keyboard shortcuts for generate/skip/interrupt ([#14269](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14269))
|
||||
* Better TCMALLOC support on different platforms ([#14227](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14227), [#14883](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14883), [#14910](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14910))
|
||||
* Lora not found warning ([#14464](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14464))
|
||||
* Adding negative prompts to Loras in extra networks ([#14475](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14475))
|
||||
* xyz_grid: allow varying the seed along an axis separate from axis options ([#12180](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12180))
|
||||
* option to convert VAE to bfloat16 (implementation of [#9295](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9295))
|
||||
* Better IPEX support ([#14229](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14229), [#14353](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14353), [#14559](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14559), [#14562](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14562), [#14597](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14597))
|
||||
* Option to interrupt after current generation rather than immediately ([#13653](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13653), [#14659](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14659))
|
||||
* Fullscreen Preview control fading/disable ([#14291](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14291))
|
||||
* Finer settings freezing control ([#13789](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13789))
|
||||
* Increase Upscaler Limits ([#14589](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14589))
|
||||
* Adjust brush size with hotkeys ([#14638](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14638))
|
||||
* Add checkpoint info to csv log file when saving images ([#14663](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14663))
|
||||
* Make more columns resizable ([#14740](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14740), [#14884](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14884))
|
||||
* Add an option to not overlay original image for inpainting for #14727
|
||||
* Add Pad conds v0 option
|
||||
* Add "Interrupting..." placeholder.
|
||||
* Button for refresh extensions list ([#14857](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14857))
|
||||
* Add an option to disable normalization after calculating emphasis. ([#14874](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14874))
|
||||
* When counting tokens, also include enabled styles (can be disabled in settings to revert to previous behavior)
|
||||
|
||||
### Extensions and API:
|
||||
* Enable task ids for API ([#14314](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14314))
|
||||
* add override_settings support for infotext API
|
||||
* rename generation_parameters_copypaste module to infotext_utils
|
||||
* prevent crash due to Script __init__ exception ([#14407](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14407))
|
||||
* Bump numpy to 1.26.2 ([#14471](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14471))
|
||||
* Add utility to inspect a model's dtype/device ([#14478](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14478))
|
||||
* Implement general forward method for all method in built-in lora ext ([#14547](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14547))
|
||||
* Execute model_loaded_callback after moving to target device ([#14563](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14563))
|
||||
* Add self to CFGDenoiserParams ([#14573](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14573))
|
||||
* Allow TLS with API only mode (--nowebui) ([#14593](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14593))
|
||||
* New callback: postprocess_image_after_composite ([#14657](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14657))
|
||||
* modules/api/api.py: add api endpoint to refresh embeddings list ([#14715](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14715))
|
||||
* set_named_arg ([#14773](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14773))
|
||||
* add before_token_counter callback and use it for prompt comments
|
||||
|
||||
### Performance
|
||||
* Massive performance improvement for extra networks directories with a huge number of files in them in an attempt to tackle #14507 ([#14528](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14528))
|
||||
* Reduce unnecessary re-indexing extra networks directory ([#14512](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14512))
|
||||
* Avoid unnecessary `isfile`/`exists` calls ([#14527](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14527))
|
||||
|
||||
### Bug Fixes:
|
||||
* fix multiple bugs related to styles multi-file support ([#14203](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14203), [#14276](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14276), [#14707](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14707))
|
||||
* Lora fixes ([#14300](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14300), [#14237](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14237), [#14546](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14546), [#14726](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14726))
|
||||
* Re-add setting lost as part of e294e46 ([#14266](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14266))
|
||||
* fix extras caption BLIP ([#14330](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14330))
|
||||
* include infotext into saved init image for img2img ([#14452](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14452))
|
||||
* xyz grid handle axis_type is None ([#14394](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14394))
|
||||
* Update Added (Fixed) IPV6 Functionality When there is No Webui Argument Passed webui.py ([#14354](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14354))
|
||||
* fix API thread safe issues of txt2img and img2img ([#14421](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14421))
|
||||
* handle selectable script_index is None ([#14487](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14487))
|
||||
* handle config.json failed to load ([#14525](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14525), [#14767](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14767))
|
||||
* paste infotext cast int as float ([#14523](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14523))
|
||||
* Ensure GRADIO_ANALYTICS_ENABLED is set early enough ([#14537](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14537))
|
||||
* Fix logging configuration again ([#14538](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14538))
|
||||
* Handle CondFunc exception when resolving attributes ([#14560](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14560))
|
||||
* Fix extras big batch crashes ([#14699](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14699))
|
||||
* Fix using wrong model caused by alias ([#14655](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14655))
|
||||
* Add # to the invalid_filename_chars list ([#14640](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14640))
|
||||
* Fix extension check for requirements ([#14639](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14639))
|
||||
* Fix tab indexes are reset after restart UI ([#14637](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14637))
|
||||
* Fix nested manual cast ([#14689](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14689))
|
||||
* Keep postprocessing upscale selected tab after restart ([#14702](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14702))
|
||||
* XYZ grid: filter out blank vals when axis is int or float type (like int axis seed) ([#14754](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14754))
|
||||
* fix CLIP Interrogator topN regex ([#14775](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14775))
|
||||
* Fix dtype error in MHA layer/change dtype checking mechanism for manual cast ([#14791](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14791))
|
||||
* catch load style.csv error ([#14814](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14814))
|
||||
* fix error when editing extra networks card
|
||||
* fix extra networks metadata failing to work properly when you create the .json file with metadata for the first time.
|
||||
* util.walk_files extensions case insensitive ([#14879](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14879))
|
||||
* if extensions page not loaded, prevent apply ([#14873](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14873))
|
||||
* call the right function for token counter in img2img
|
||||
* Fix the bugs that search/reload will disappear when using other ExtraNetworks extensions ([#14939](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14939))
|
||||
* Gracefully handle mtime read exception from cache ([#14933](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14933))
|
||||
* Only trigger interrupt on `Esc` when interrupt button visible ([#14932](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14932))
|
||||
* Disable prompt token counters option actually disables token counting rather than just hiding results.
|
||||
|
||||
### Other:
|
||||
* Assign id for "extra_options". Replace numeric field with slider. ([#14270](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14270))
|
||||
* change state dict comparison to ref compare ([#14216](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14216))
|
||||
* Bump torch-rocm to 5.6/5.7 ([#14293](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14293))
|
||||
* Base output path off data path ([#14446](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14446))
|
||||
* reorder training preprocessing modules in extras tab ([#14367](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14367))
|
||||
* Remove `cleanup_models` code ([#14472](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14472))
|
||||
* only rewrite ui-config when there is change ([#14352](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14352))
|
||||
* Fix lint issue from 501993eb ([#14495](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14495))
|
||||
* Update README.md ([#14548](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14548))
|
||||
* hires button, fix seeds ()
|
||||
* Logging: set formatter correctly for fallback logger too ([#14618](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14618))
|
||||
* Read generation info from infotexts rather than json for internal needs (save, extract seed from generated pic) ([#14645](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14645))
|
||||
* improve get_crop_region ([#14709](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14709))
|
||||
* Bump safetensors' version to 0.4.2 ([#14782](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14782))
|
||||
* add tooltip create_submit_box ([#14803](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14803))
|
||||
* extensions tab table row hover highlight ([#14885](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14885))
|
||||
* Always add timestamp to displayed image ([#14890](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14890))
|
||||
* Added core.filemode=false so doesn't track changes in file permission… ([#14930](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14930))
|
||||
* Normalize command-line argument paths ([#14934](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14934))
|
||||
* Use original App Title in progress bar ([#14916](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14916))
|
||||
|
||||
## 1.7.0
|
||||
|
||||
### Features:
|
||||
|
||||
@@ -57,12 +57,12 @@ class NetworkModuleOFT(network.NetworkModule):
|
||||
|
||||
def calc_updown(self, orig_weight):
|
||||
oft_blocks = self.oft_blocks.to(orig_weight.device)
|
||||
eye = torch.eye(self.block_size, device=self.oft_blocks.device)
|
||||
eye = torch.eye(self.block_size, device=oft_blocks.device)
|
||||
|
||||
if self.is_kohya:
|
||||
block_Q = oft_blocks - oft_blocks.transpose(1, 2) # ensure skew-symmetric orthogonal matrix
|
||||
norm_Q = torch.norm(block_Q.flatten())
|
||||
new_norm_Q = torch.clamp(norm_Q, max=self.constraint)
|
||||
new_norm_Q = torch.clamp(norm_Q, max=self.constraint.to(oft_blocks.device))
|
||||
block_Q = block_Q * ((new_norm_Q + 1e-8) / (norm_Q + 1e-8))
|
||||
oft_blocks = torch.matmul(eye + block_Q, (eye - block_Q).float().inverse())
|
||||
|
||||
|
||||
@@ -1,7 +1,8 @@
|
||||
import os
|
||||
from modules import paths
|
||||
from modules.paths_internal import normalized_filepath
|
||||
|
||||
|
||||
def preload(parser):
|
||||
parser.add_argument("--lora-dir", type=str, help="Path to directory with Lora networks.", default=os.path.join(paths.models_path, 'Lora'))
|
||||
parser.add_argument("--lyco-dir-backcompat", type=str, help="Path to directory with LyCORIS networks (for backawards compatibility; can also use --lyco-dir).", default=os.path.join(paths.models_path, 'LyCORIS'))
|
||||
parser.add_argument("--lora-dir", type=normalized_filepath, help="Path to directory with Lora networks.", default=os.path.join(paths.models_path, 'Lora'))
|
||||
parser.add_argument("--lyco-dir-backcompat", type=normalized_filepath, help="Path to directory with LyCORIS networks (for backawards compatibility; can also use --lyco-dir).", default=os.path.join(paths.models_path, 'LyCORIS'))
|
||||
|
||||
@@ -24,13 +24,16 @@ class ExtraNetworksPageLora(ui_extra_networks.ExtraNetworksPage):
|
||||
|
||||
alias = lora_on_disk.get_alias()
|
||||
|
||||
search_terms = [self.search_terms_from_path(lora_on_disk.filename)]
|
||||
if lora_on_disk.hash:
|
||||
search_terms.append(lora_on_disk.hash)
|
||||
item = {
|
||||
"name": name,
|
||||
"filename": lora_on_disk.filename,
|
||||
"shorthash": lora_on_disk.shorthash,
|
||||
"preview": self.find_preview(path),
|
||||
"description": self.find_description(path),
|
||||
"search_term": self.search_terms_from_path(lora_on_disk.filename) + " " + (lora_on_disk.hash or ""),
|
||||
"search_terms": search_terms,
|
||||
"local_preview": f"{path}.{shared.opts.samples_format}",
|
||||
"metadata": lora_on_disk.metadata,
|
||||
"sort_keys": {'default': index, **self.get_sort_keys(lora_on_disk.filename)},
|
||||
|
||||
@@ -1,14 +1,9 @@
|
||||
<div class='card' style={style} onclick={card_clicked} data-name="{name}" {sort_keys}>
|
||||
<div class="card" style="{style}" onclick="{card_clicked}" data-name="{name}" {sort_keys}>
|
||||
{background_image}
|
||||
<div class="button-row">
|
||||
{metadata_button}
|
||||
{edit_button}
|
||||
</div>
|
||||
<div class='actions'>
|
||||
<div class='additional'>
|
||||
<span style="display:none" class='search_term{search_only}'>{search_term}</span>
|
||||
</div>
|
||||
<span class='name'>{name}</span>
|
||||
<span class='description'>{description}</span>
|
||||
<div class="button-row">{copy_path_button}{metadata_button}{edit_button}</div>
|
||||
<div class="actions">
|
||||
<div class="additional">{search_terms}</div>
|
||||
<span class="name">{name}</span>
|
||||
<span class="description">{description}</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -0,0 +1,5 @@
|
||||
<div class="copy-path-button card-button"
|
||||
title="Copy path to clipboard"
|
||||
onclick="extraNetworksCopyCardPath(event, '{filename}')"
|
||||
data-clipboard-text="{filename}">
|
||||
</div>
|
||||
@@ -0,0 +1,4 @@
|
||||
<div class="edit-button card-button"
|
||||
title="Edit metadata"
|
||||
onclick="extraNetworksEditUserMetadata(event, '{tabname}', '{extra_networks_tabname}', '{name}')">
|
||||
</div>
|
||||
@@ -0,0 +1,4 @@
|
||||
<div class="metadata-button card-button"
|
||||
title="Show internal metadata"
|
||||
onclick="extraNetworksRequestMetadata(event, '{extra_networks_tabname}', '{name}')">
|
||||
</div>
|
||||
@@ -0,0 +1,55 @@
|
||||
<div id='{tabname}_{extra_networks_tabname}_pane' class='extra-network-pane'>
|
||||
<div class="extra-network-control" id="{tabname}_{extra_networks_tabname}_controls" style="display:none" >
|
||||
<div class="extra-network-control--search">
|
||||
<input
|
||||
id="{tabname}_{extra_networks_tabname}_extra_search"
|
||||
class="extra-network-control--search-text"
|
||||
type="search"
|
||||
placeholder="Filter files"
|
||||
>
|
||||
</div>
|
||||
<div
|
||||
id="{tabname}_{extra_networks_tabname}_extra_sort"
|
||||
class="extra-network-control--sort"
|
||||
data-sortmode="{data_sortmode}"
|
||||
data-sortkey="{data_sortkey}"
|
||||
title="Sort by path"
|
||||
onclick="extraNetworksControlSortOnClick(event, '{tabname}', '{extra_networks_tabname}');"
|
||||
>
|
||||
<i class="extra-network-control--sort-icon"></i>
|
||||
</div>
|
||||
<div
|
||||
id="{tabname}_{extra_networks_tabname}_extra_sort_dir"
|
||||
class="extra-network-control--sort-dir"
|
||||
data-sortdir="{data_sortdir}"
|
||||
title="Sort ascending"
|
||||
onclick="extraNetworksControlSortDirOnClick(event, '{tabname}', '{extra_networks_tabname}');"
|
||||
>
|
||||
<i class="extra-network-control--sort-dir-icon"></i>
|
||||
</div>
|
||||
<div
|
||||
id="{tabname}_{extra_networks_tabname}_extra_tree_view"
|
||||
class="extra-network-control--tree-view {tree_view_btn_extra_class}"
|
||||
title="Enable Tree View"
|
||||
onclick="extraNetworksControlTreeViewOnClick(event, '{tabname}', '{extra_networks_tabname}');"
|
||||
>
|
||||
<i class="extra-network-control--tree-view-icon"></i>
|
||||
</div>
|
||||
<div
|
||||
id="{tabname}_{extra_networks_tabname}_extra_refresh"
|
||||
class="extra-network-control--refresh"
|
||||
title="Refresh page"
|
||||
onclick="extraNetworksControlRefreshOnClick(event, '{tabname}', '{extra_networks_tabname}');"
|
||||
>
|
||||
<i class="extra-network-control--refresh-icon"></i>
|
||||
</div>
|
||||
</div>
|
||||
<div class="extra-network-pane-content">
|
||||
<div id='{tabname}_{extra_networks_tabname}_tree' class='extra-network-tree {tree_view_div_extra_class}'>
|
||||
{tree_html}
|
||||
</div>
|
||||
<div id='{tabname}_{extra_networks_tabname}_cards' class='extra-network-cards'>
|
||||
{items_html}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -0,0 +1,23 @@
|
||||
<span data-filterable-item-text hidden>{search_terms}</span>
|
||||
<div class="tree-list-content {subclass}"
|
||||
type="button"
|
||||
onclick="extraNetworksTreeOnClick(event, '{tabname}', '{extra_networks_tabname}');{onclick_extra}"
|
||||
data-path="{data_path}"
|
||||
data-hash="{data_hash}"
|
||||
>
|
||||
<span class='tree-list-item-action tree-list-item-action--leading'>
|
||||
{action_list_item_action_leading}
|
||||
</span>
|
||||
<span class="tree-list-item-visual tree-list-item-visual--leading">
|
||||
{action_list_item_visual_leading}
|
||||
</span>
|
||||
<span class="tree-list-item-label tree-list-item-label--truncate">
|
||||
{action_list_item_label}
|
||||
</span>
|
||||
<span class="tree-list-item-visual tree-list-item-visual--trailing">
|
||||
{action_list_item_visual_trailing}
|
||||
</span>
|
||||
<span class="tree-list-item-action tree-list-item-action--trailing">
|
||||
{action_list_item_action_trailing}
|
||||
</span>
|
||||
</div>
|
||||
@@ -2,8 +2,11 @@
|
||||
function extensions_apply(_disabled_list, _update_list, disable_all) {
|
||||
var disable = [];
|
||||
var update = [];
|
||||
|
||||
gradioApp().querySelectorAll('#extensions input[type="checkbox"]').forEach(function(x) {
|
||||
const extensions_input = gradioApp().querySelectorAll('#extensions input[type="checkbox"]');
|
||||
if (extensions_input.length == 0) {
|
||||
throw Error("Extensions page not yet loaded.");
|
||||
}
|
||||
extensions_input.forEach(function(x) {
|
||||
if (x.name.startsWith("enable_") && !x.checked) {
|
||||
disable.push(x.name.substring(7));
|
||||
}
|
||||
|
||||
+361
-125
@@ -16,99 +16,112 @@ function toggleCss(key, css, enable) {
|
||||
}
|
||||
|
||||
function setupExtraNetworksForTab(tabname) {
|
||||
gradioApp().querySelector('#' + tabname + '_extra_tabs').classList.add('extra-networks');
|
||||
function registerPrompt(tabname, id) {
|
||||
var textarea = gradioApp().querySelector("#" + id + " > label > textarea");
|
||||
|
||||
var tabs = gradioApp().querySelector('#' + tabname + '_extra_tabs > div');
|
||||
var searchDiv = gradioApp().getElementById(tabname + '_extra_search');
|
||||
var search = searchDiv.querySelector('textarea');
|
||||
var sort = gradioApp().getElementById(tabname + '_extra_sort');
|
||||
var sortOrder = gradioApp().getElementById(tabname + '_extra_sortorder');
|
||||
var refresh = gradioApp().getElementById(tabname + '_extra_refresh');
|
||||
var showDirsDiv = gradioApp().getElementById(tabname + '_extra_show_dirs');
|
||||
var showDirs = gradioApp().querySelector('#' + tabname + '_extra_show_dirs input');
|
||||
var promptContainer = gradioApp().querySelector('.prompt-container-compact#' + tabname + '_prompt_container');
|
||||
var negativePrompt = gradioApp().querySelector('#' + tabname + '_neg_prompt');
|
||||
|
||||
tabs.appendChild(searchDiv);
|
||||
tabs.appendChild(sort);
|
||||
tabs.appendChild(sortOrder);
|
||||
tabs.appendChild(refresh);
|
||||
tabs.appendChild(showDirsDiv);
|
||||
|
||||
var applyFilter = function() {
|
||||
var searchTerm = search.value.toLowerCase();
|
||||
|
||||
gradioApp().querySelectorAll('#' + tabname + '_extra_tabs div.card').forEach(function(elem) {
|
||||
var searchOnly = elem.querySelector('.search_only');
|
||||
var text = elem.querySelector('.name').textContent.toLowerCase() + " " + elem.querySelector('.search_term').textContent.toLowerCase();
|
||||
|
||||
var visible = text.indexOf(searchTerm) != -1;
|
||||
|
||||
if (searchOnly && searchTerm.length < 4) {
|
||||
visible = false;
|
||||
}
|
||||
|
||||
elem.style.display = visible ? "" : "none";
|
||||
});
|
||||
|
||||
applySort();
|
||||
};
|
||||
|
||||
var applySort = function() {
|
||||
var cards = gradioApp().querySelectorAll('#' + tabname + '_extra_tabs div.card');
|
||||
|
||||
var reverse = sortOrder.classList.contains("sortReverse");
|
||||
var sortKey = sort.querySelector("input").value.toLowerCase().replace("sort", "").replaceAll(" ", "_").replace(/_+$/, "").trim() || "name";
|
||||
sortKey = "sort" + sortKey.charAt(0).toUpperCase() + sortKey.slice(1);
|
||||
var sortKeyStore = sortKey + "-" + (reverse ? "Descending" : "Ascending") + "-" + cards.length;
|
||||
|
||||
if (sortKeyStore == sort.dataset.sortkey) {
|
||||
return;
|
||||
if (!activePromptTextarea[tabname]) {
|
||||
activePromptTextarea[tabname] = textarea;
|
||||
}
|
||||
sort.dataset.sortkey = sortKeyStore;
|
||||
|
||||
cards.forEach(function(card) {
|
||||
card.originalParentElement = card.parentElement;
|
||||
textarea.addEventListener("focus", function() {
|
||||
activePromptTextarea[tabname] = textarea;
|
||||
});
|
||||
var sortedCards = Array.from(cards);
|
||||
sortedCards.sort(function(cardA, cardB) {
|
||||
var a = cardA.dataset[sortKey];
|
||||
var b = cardB.dataset[sortKey];
|
||||
if (!isNaN(a) && !isNaN(b)) {
|
||||
return parseInt(a) - parseInt(b);
|
||||
}
|
||||
}
|
||||
|
||||
return (a < b ? -1 : (a > b ? 1 : 0));
|
||||
});
|
||||
if (reverse) {
|
||||
sortedCards.reverse();
|
||||
var tabnav = gradioApp().querySelector('#' + tabname + '_extra_tabs > div.tab-nav');
|
||||
var controlsDiv = document.createElement('DIV');
|
||||
controlsDiv.classList.add('extra-networks-controls-div');
|
||||
tabnav.appendChild(controlsDiv);
|
||||
tabnav.insertBefore(controlsDiv, null);
|
||||
|
||||
var this_tab = gradioApp().querySelector('#' + tabname + '_extra_tabs');
|
||||
this_tab.querySelectorAll(":scope > [id^='" + tabname + "_']").forEach(function(elem) {
|
||||
// tabname_full = {tabname}_{extra_networks_tabname}
|
||||
var tabname_full = elem.id;
|
||||
var search = gradioApp().querySelector("#" + tabname_full + "_extra_search");
|
||||
var sort_mode = gradioApp().querySelector("#" + tabname_full + "_extra_sort");
|
||||
var sort_dir = gradioApp().querySelector("#" + tabname_full + "_extra_sort_dir");
|
||||
var refresh = gradioApp().querySelector("#" + tabname_full + "_extra_refresh");
|
||||
|
||||
// If any of the buttons above don't exist, we want to skip this iteration of the loop.
|
||||
if (!search || !sort_mode || !sort_dir || !refresh) {
|
||||
return; // `return` is equivalent of `continue` but for forEach loops.
|
||||
}
|
||||
cards.forEach(function(card) {
|
||||
card.remove();
|
||||
});
|
||||
sortedCards.forEach(function(card) {
|
||||
card.originalParentElement.appendChild(card);
|
||||
});
|
||||
};
|
||||
|
||||
search.addEventListener("input", applyFilter);
|
||||
sortOrder.addEventListener("click", function() {
|
||||
sortOrder.classList.toggle("sortReverse");
|
||||
var applyFilter = function(force) {
|
||||
var searchTerm = search.value.toLowerCase();
|
||||
gradioApp().querySelectorAll('#' + tabname + '_extra_tabs div.card').forEach(function(elem) {
|
||||
var searchOnly = elem.querySelector('.search_only');
|
||||
var text = Array.prototype.map.call(elem.querySelectorAll('.search_terms'), function(t) {
|
||||
return t.textContent.toLowerCase();
|
||||
}).join(" ");
|
||||
|
||||
var visible = text.indexOf(searchTerm) != -1;
|
||||
if (searchOnly && searchTerm.length < 4) {
|
||||
visible = false;
|
||||
}
|
||||
if (visible) {
|
||||
elem.classList.remove("hidden");
|
||||
} else {
|
||||
elem.classList.add("hidden");
|
||||
}
|
||||
});
|
||||
|
||||
applySort(force);
|
||||
};
|
||||
|
||||
var applySort = function(force) {
|
||||
var cards = gradioApp().querySelectorAll('#' + tabname + '_extra_tabs div.card');
|
||||
var reverse = sort_dir.dataset.sortdir == "Descending";
|
||||
var sortKey = sort_mode.dataset.sortmode.toLowerCase().replace("sort", "").replaceAll(" ", "_").replace(/_+$/, "").trim() || "name";
|
||||
sortKey = "sort" + sortKey.charAt(0).toUpperCase() + sortKey.slice(1);
|
||||
var sortKeyStore = sortKey + "-" + (reverse ? "Descending" : "Ascending") + "-" + cards.length;
|
||||
|
||||
if (sortKeyStore == sort_mode.dataset.sortkey && !force) {
|
||||
return;
|
||||
}
|
||||
sort_mode.dataset.sortkey = sortKeyStore;
|
||||
|
||||
cards.forEach(function(card) {
|
||||
card.originalParentElement = card.parentElement;
|
||||
});
|
||||
var sortedCards = Array.from(cards);
|
||||
sortedCards.sort(function(cardA, cardB) {
|
||||
var a = cardA.dataset[sortKey];
|
||||
var b = cardB.dataset[sortKey];
|
||||
if (!isNaN(a) && !isNaN(b)) {
|
||||
return parseInt(a) - parseInt(b);
|
||||
}
|
||||
|
||||
return (a < b ? -1 : (a > b ? 1 : 0));
|
||||
});
|
||||
if (reverse) {
|
||||
sortedCards.reverse();
|
||||
}
|
||||
cards.forEach(function(card) {
|
||||
card.remove();
|
||||
});
|
||||
sortedCards.forEach(function(card) {
|
||||
card.originalParentElement.appendChild(card);
|
||||
});
|
||||
};
|
||||
|
||||
search.addEventListener("input", applyFilter);
|
||||
applySort();
|
||||
applyFilter();
|
||||
extraNetworksApplySort[tabname_full] = applySort;
|
||||
extraNetworksApplyFilter[tabname_full] = applyFilter;
|
||||
|
||||
var controls = gradioApp().querySelector("#" + tabname_full + "_controls");
|
||||
controlsDiv.insertBefore(controls, null);
|
||||
|
||||
if (elem.style.display != "none") {
|
||||
extraNetworksShowControlsForPage(tabname, tabname_full);
|
||||
}
|
||||
});
|
||||
applyFilter();
|
||||
|
||||
extraNetworksApplySort[tabname] = applySort;
|
||||
extraNetworksApplyFilter[tabname] = applyFilter;
|
||||
|
||||
var showDirsUpdate = function() {
|
||||
var css = '#' + tabname + '_extra_tabs .extra-network-subdirs { display: none; }';
|
||||
toggleCss(tabname + '_extra_show_dirs_style', css, !showDirs.checked);
|
||||
localSet('extra-networks-show-dirs', showDirs.checked ? 1 : 0);
|
||||
};
|
||||
showDirs.checked = localGet('extra-networks-show-dirs', 1) == 1;
|
||||
showDirs.addEventListener("change", showDirsUpdate);
|
||||
showDirsUpdate();
|
||||
registerPrompt(tabname, tabname + "_prompt");
|
||||
registerPrompt(tabname, tabname + "_neg_prompt");
|
||||
}
|
||||
|
||||
function extraNetworksMovePromptToTab(tabname, id, showPrompt, showNegativePrompt) {
|
||||
@@ -137,21 +150,42 @@ function extraNetworksMovePromptToTab(tabname, id, showPrompt, showNegativePromp
|
||||
}
|
||||
|
||||
|
||||
function extraNetworksUrelatedTabSelected(tabname) { // called from python when user selects an unrelated tab (generate)
|
||||
extraNetworksMovePromptToTab(tabname, '', false, false);
|
||||
function extraNetworksShowControlsForPage(tabname, tabname_full) {
|
||||
gradioApp().querySelectorAll('#' + tabname + '_extra_tabs .extra-networks-controls-div > div').forEach(function(elem) {
|
||||
var targetId = tabname_full + "_controls";
|
||||
elem.style.display = elem.id == targetId ? "" : "none";
|
||||
});
|
||||
}
|
||||
|
||||
function extraNetworksTabSelected(tabname, id, showPrompt, showNegativePrompt) { // called from python when user selects an extra networks tab
|
||||
|
||||
function extraNetworksUnrelatedTabSelected(tabname) { // called from python when user selects an unrelated tab (generate)
|
||||
extraNetworksMovePromptToTab(tabname, '', false, false);
|
||||
|
||||
extraNetworksShowControlsForPage(tabname, null);
|
||||
}
|
||||
|
||||
function extraNetworksTabSelected(tabname, id, showPrompt, showNegativePrompt, tabname_full) { // called from python when user selects an extra networks tab
|
||||
extraNetworksMovePromptToTab(tabname, id, showPrompt, showNegativePrompt);
|
||||
|
||||
extraNetworksShowControlsForPage(tabname, tabname_full);
|
||||
}
|
||||
|
||||
function applyExtraNetworkFilter(tabname) {
|
||||
setTimeout(extraNetworksApplyFilter[tabname], 1);
|
||||
function applyExtraNetworkFilter(tabname_full) {
|
||||
var doFilter = function() {
|
||||
var applyFunction = extraNetworksApplyFilter[tabname_full];
|
||||
|
||||
if (applyFunction) {
|
||||
applyFunction(true);
|
||||
}
|
||||
};
|
||||
setTimeout(doFilter, 1);
|
||||
}
|
||||
|
||||
function applyExtraNetworkSort(tabname) {
|
||||
setTimeout(extraNetworksApplySort[tabname], 1);
|
||||
function applyExtraNetworkSort(tabname_full) {
|
||||
var doSort = function() {
|
||||
extraNetworksApplySort[tabname_full](true);
|
||||
};
|
||||
setTimeout(doSort, 1);
|
||||
}
|
||||
|
||||
var extraNetworksApplyFilter = {};
|
||||
@@ -161,27 +195,8 @@ var activePromptTextarea = {};
|
||||
function setupExtraNetworks() {
|
||||
setupExtraNetworksForTab('txt2img');
|
||||
setupExtraNetworksForTab('img2img');
|
||||
|
||||
function registerPrompt(tabname, id) {
|
||||
var textarea = gradioApp().querySelector("#" + id + " > label > textarea");
|
||||
|
||||
if (!activePromptTextarea[tabname]) {
|
||||
activePromptTextarea[tabname] = textarea;
|
||||
}
|
||||
|
||||
textarea.addEventListener("focus", function() {
|
||||
activePromptTextarea[tabname] = textarea;
|
||||
});
|
||||
}
|
||||
|
||||
registerPrompt('txt2img', 'txt2img_prompt');
|
||||
registerPrompt('txt2img', 'txt2img_neg_prompt');
|
||||
registerPrompt('img2img', 'img2img_prompt');
|
||||
registerPrompt('img2img', 'img2img_neg_prompt');
|
||||
}
|
||||
|
||||
onUiLoaded(setupExtraNetworks);
|
||||
|
||||
var re_extranet = /<([^:^>]+:[^:]+):[\d.]+>(.*)/;
|
||||
var re_extranet_g = /<([^:^>]+:[^:]+):[\d.]+>/g;
|
||||
|
||||
@@ -191,8 +206,8 @@ function tryToRemoveExtraNetworkFromPrompt(textarea, text, isNeg) {
|
||||
var m = text.match(isNeg ? re_extranet_neg : re_extranet);
|
||||
var replaced = false;
|
||||
var newTextareaText;
|
||||
var extraTextBeforeNet = opts.extra_networks_add_text_separator;
|
||||
if (m) {
|
||||
var extraTextBeforeNet = opts.extra_networks_add_text_separator;
|
||||
var extraTextAfterNet = m[2];
|
||||
var partToSearch = m[1];
|
||||
var foundAtPosition = -1;
|
||||
@@ -205,7 +220,6 @@ function tryToRemoveExtraNetworkFromPrompt(textarea, text, isNeg) {
|
||||
}
|
||||
return found;
|
||||
});
|
||||
|
||||
if (foundAtPosition >= 0) {
|
||||
if (extraTextAfterNet && newTextareaText.substr(foundAtPosition, extraTextAfterNet.length) == extraTextAfterNet) {
|
||||
newTextareaText = newTextareaText.substr(0, foundAtPosition) + newTextareaText.substr(foundAtPosition + extraTextAfterNet.length);
|
||||
@@ -215,13 +229,8 @@ function tryToRemoveExtraNetworkFromPrompt(textarea, text, isNeg) {
|
||||
}
|
||||
}
|
||||
} else {
|
||||
newTextareaText = textarea.value.replaceAll(new RegExp(text, "g"), function(found) {
|
||||
if (found == text) {
|
||||
replaced = true;
|
||||
return "";
|
||||
}
|
||||
return found;
|
||||
});
|
||||
newTextareaText = textarea.value.replaceAll(new RegExp(`((?:${extraTextBeforeNet})?${text})`, "g"), "");
|
||||
replaced = (newTextareaText != textarea.value);
|
||||
}
|
||||
|
||||
if (replaced) {
|
||||
@@ -233,7 +242,6 @@ function tryToRemoveExtraNetworkFromPrompt(textarea, text, isNeg) {
|
||||
}
|
||||
|
||||
function updatePromptArea(text, textArea, isNeg) {
|
||||
|
||||
if (!tryToRemoveExtraNetworkFromPrompt(textArea, text, isNeg)) {
|
||||
textArea.value = textArea.value + opts.extra_networks_add_text_separator + text;
|
||||
}
|
||||
@@ -264,13 +272,200 @@ function saveCardPreview(event, tabname, filename) {
|
||||
event.preventDefault();
|
||||
}
|
||||
|
||||
function extraNetworksSearchButton(tabs_id, event) {
|
||||
var searchTextarea = gradioApp().querySelector("#" + tabs_id + ' > label > textarea');
|
||||
var button = event.target;
|
||||
var text = button.classList.contains("search-all") ? "" : button.textContent.trim();
|
||||
function extraNetworksTreeProcessFileClick(event, btn, tabname, extra_networks_tabname) {
|
||||
/**
|
||||
* Processes `onclick` events when user clicks on files in tree.
|
||||
*
|
||||
* @param event The generated event.
|
||||
* @param btn The clicked `tree-list-item` button.
|
||||
* @param tabname The name of the active tab in the sd webui. Ex: txt2img, img2img, etc.
|
||||
* @param extra_networks_tabname The id of the active extraNetworks tab. Ex: lora, checkpoints, etc.
|
||||
*/
|
||||
// NOTE: Currently unused.
|
||||
return;
|
||||
}
|
||||
|
||||
searchTextarea.value = text;
|
||||
updateInput(searchTextarea);
|
||||
function extraNetworksTreeProcessDirectoryClick(event, btn, tabname, extra_networks_tabname) {
|
||||
/**
|
||||
* Processes `onclick` events when user clicks on directories in tree.
|
||||
*
|
||||
* Here is how the tree reacts to clicks for various states:
|
||||
* unselected unopened directory: Diretory is selected and expanded.
|
||||
* unselected opened directory: Directory is selected.
|
||||
* selected opened directory: Directory is collapsed and deselected.
|
||||
* chevron is clicked: Directory is expanded or collapsed. Selected state unchanged.
|
||||
*
|
||||
* @param event The generated event.
|
||||
* @param btn The clicked `tree-list-item` button.
|
||||
* @param tabname The name of the active tab in the sd webui. Ex: txt2img, img2img, etc.
|
||||
* @param extra_networks_tabname The id of the active extraNetworks tab. Ex: lora, checkpoints, etc.
|
||||
*/
|
||||
var ul = btn.nextElementSibling;
|
||||
// This is the actual target that the user clicked on within the target button.
|
||||
// We use this to detect if the chevron was clicked.
|
||||
var true_targ = event.target;
|
||||
|
||||
function _expand_or_collapse(_ul, _btn) {
|
||||
// Expands <ul> if it is collapsed, collapses otherwise. Updates button attributes.
|
||||
if (_ul.hasAttribute("hidden")) {
|
||||
_ul.removeAttribute("hidden");
|
||||
_btn.dataset.expanded = "";
|
||||
} else {
|
||||
_ul.setAttribute("hidden", "");
|
||||
delete _btn.dataset.expanded;
|
||||
}
|
||||
}
|
||||
|
||||
function _remove_selected_from_all() {
|
||||
// Removes the `selected` attribute from all buttons.
|
||||
var sels = document.querySelectorAll("div.tree-list-content");
|
||||
[...sels].forEach(el => {
|
||||
delete el.dataset.selected;
|
||||
});
|
||||
}
|
||||
|
||||
function _select_button(_btn) {
|
||||
// Removes `data-selected` attribute from all buttons then adds to passed button.
|
||||
_remove_selected_from_all();
|
||||
_btn.dataset.selected = "";
|
||||
}
|
||||
|
||||
function _update_search(_tabname, _extra_networks_tabname, _search_text) {
|
||||
// Update search input with select button's path.
|
||||
var search_input_elem = gradioApp().querySelector("#" + tabname + "_" + extra_networks_tabname + "_extra_search");
|
||||
search_input_elem.value = _search_text;
|
||||
updateInput(search_input_elem);
|
||||
}
|
||||
|
||||
|
||||
// If user clicks on the chevron, then we do not select the folder.
|
||||
if (true_targ.matches(".tree-list-item-action--leading, .tree-list-item-action-chevron")) {
|
||||
_expand_or_collapse(ul, btn);
|
||||
} else {
|
||||
// User clicked anywhere else on the button.
|
||||
if ("selected" in btn.dataset && !(ul.hasAttribute("hidden"))) {
|
||||
// If folder is select and open, collapse and deselect button.
|
||||
_expand_or_collapse(ul, btn);
|
||||
delete btn.dataset.selected;
|
||||
_update_search(tabname, extra_networks_tabname, "");
|
||||
} else if (!(!("selected" in btn.dataset) && !(ul.hasAttribute("hidden")))) {
|
||||
// If folder is open and not selected, then we don't collapse; just select.
|
||||
// NOTE: Double inversion sucks but it is the clearest way to show the branching here.
|
||||
_expand_or_collapse(ul, btn);
|
||||
_select_button(btn, tabname, extra_networks_tabname);
|
||||
_update_search(tabname, extra_networks_tabname, btn.dataset.path);
|
||||
} else {
|
||||
// All other cases, just select the button.
|
||||
_select_button(btn, tabname, extra_networks_tabname);
|
||||
_update_search(tabname, extra_networks_tabname, btn.dataset.path);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function extraNetworksTreeOnClick(event, tabname, extra_networks_tabname) {
|
||||
/**
|
||||
* Handles `onclick` events for buttons within an `extra-network-tree .tree-list--tree`.
|
||||
*
|
||||
* Determines whether the clicked button in the tree is for a file entry or a directory
|
||||
* then calls the appropriate function.
|
||||
*
|
||||
* @param event The generated event.
|
||||
* @param tabname The name of the active tab in the sd webui. Ex: txt2img, img2img, etc.
|
||||
* @param extra_networks_tabname The id of the active extraNetworks tab. Ex: lora, checkpoints, etc.
|
||||
*/
|
||||
var btn = event.currentTarget;
|
||||
var par = btn.parentElement;
|
||||
if (par.dataset.treeEntryType === "file") {
|
||||
extraNetworksTreeProcessFileClick(event, btn, tabname, extra_networks_tabname);
|
||||
} else {
|
||||
extraNetworksTreeProcessDirectoryClick(event, btn, tabname, extra_networks_tabname);
|
||||
}
|
||||
}
|
||||
|
||||
function extraNetworksControlSortOnClick(event, tabname, extra_networks_tabname) {
|
||||
/**
|
||||
* Handles `onclick` events for the Sort Mode button.
|
||||
*
|
||||
* Modifies the data attributes of the Sort Mode button to cycle between
|
||||
* various sorting modes.
|
||||
*
|
||||
* @param event The generated event.
|
||||
* @param tabname The name of the active tab in the sd webui. Ex: txt2img, img2img, etc.
|
||||
* @param extra_networks_tabname The id of the active extraNetworks tab. Ex: lora, checkpoints, etc.
|
||||
*/
|
||||
var curr_mode = event.currentTarget.dataset.sortmode;
|
||||
var el_sort_dir = gradioApp().querySelector("#" + tabname + "_" + extra_networks_tabname + "_extra_sort_dir");
|
||||
var sort_dir = el_sort_dir.dataset.sortdir;
|
||||
if (curr_mode == "path") {
|
||||
event.currentTarget.dataset.sortmode = "name";
|
||||
event.currentTarget.dataset.sortkey = "sortName-" + sort_dir + "-640";
|
||||
event.currentTarget.setAttribute("title", "Sort by filename");
|
||||
} else if (curr_mode == "name") {
|
||||
event.currentTarget.dataset.sortmode = "date_created";
|
||||
event.currentTarget.dataset.sortkey = "sortDate_created-" + sort_dir + "-640";
|
||||
event.currentTarget.setAttribute("title", "Sort by date created");
|
||||
} else if (curr_mode == "date_created") {
|
||||
event.currentTarget.dataset.sortmode = "date_modified";
|
||||
event.currentTarget.dataset.sortkey = "sortDate_modified-" + sort_dir + "-640";
|
||||
event.currentTarget.setAttribute("title", "Sort by date modified");
|
||||
} else {
|
||||
event.currentTarget.dataset.sortmode = "path";
|
||||
event.currentTarget.dataset.sortkey = "sortPath-" + sort_dir + "-640";
|
||||
event.currentTarget.setAttribute("title", "Sort by path");
|
||||
}
|
||||
applyExtraNetworkSort(tabname + "_" + extra_networks_tabname);
|
||||
}
|
||||
|
||||
function extraNetworksControlSortDirOnClick(event, tabname, extra_networks_tabname) {
|
||||
/**
|
||||
* Handles `onclick` events for the Sort Direction button.
|
||||
*
|
||||
* Modifies the data attributes of the Sort Direction button to cycle between
|
||||
* ascending and descending sort directions.
|
||||
*
|
||||
* @param event The generated event.
|
||||
* @param tabname The name of the active tab in the sd webui. Ex: txt2img, img2img, etc.
|
||||
* @param extra_networks_tabname The id of the active extraNetworks tab. Ex: lora, checkpoints, etc.
|
||||
*/
|
||||
if (event.currentTarget.dataset.sortdir == "Ascending") {
|
||||
event.currentTarget.dataset.sortdir = "Descending";
|
||||
event.currentTarget.setAttribute("title", "Sort descending");
|
||||
} else {
|
||||
event.currentTarget.dataset.sortdir = "Ascending";
|
||||
event.currentTarget.setAttribute("title", "Sort ascending");
|
||||
}
|
||||
applyExtraNetworkSort(tabname + "_" + extra_networks_tabname);
|
||||
}
|
||||
|
||||
function extraNetworksControlTreeViewOnClick(event, tabname, extra_networks_tabname) {
|
||||
/**
|
||||
* Handles `onclick` events for the Tree View button.
|
||||
*
|
||||
* Toggles the tree view in the extra networks pane.
|
||||
*
|
||||
* @param event The generated event.
|
||||
* @param tabname The name of the active tab in the sd webui. Ex: txt2img, img2img, etc.
|
||||
* @param extra_networks_tabname The id of the active extraNetworks tab. Ex: lora, checkpoints, etc.
|
||||
*/
|
||||
gradioApp().getElementById(tabname + "_" + extra_networks_tabname + "_tree").classList.toggle("hidden");
|
||||
event.currentTarget.classList.toggle("extra-network-control--enabled");
|
||||
}
|
||||
|
||||
function extraNetworksControlRefreshOnClick(event, tabname, extra_networks_tabname) {
|
||||
/**
|
||||
* Handles `onclick` events for the Refresh Page button.
|
||||
*
|
||||
* In order to actually call the python functions in `ui_extra_networks.py`
|
||||
* to refresh the page, we created an empty gradio button in that file with an
|
||||
* event handler that refreshes the page. So what this function here does
|
||||
* is it manually raises a `click` event on that button.
|
||||
*
|
||||
* @param event The generated event.
|
||||
* @param tabname The name of the active tab in the sd webui. Ex: txt2img, img2img, etc.
|
||||
* @param extra_networks_tabname The id of the active extraNetworks tab. Ex: lora, checkpoints, etc.
|
||||
*/
|
||||
var btn_refresh_internal = gradioApp().getElementById(tabname + "_" + extra_networks_tabname + "_extra_refresh_internal");
|
||||
btn_refresh_internal.dispatchEvent(new Event("click"));
|
||||
}
|
||||
|
||||
var globalPopup = null;
|
||||
@@ -348,6 +543,11 @@ function requestGet(url, data, handler, errorHandler) {
|
||||
xhr.send(js);
|
||||
}
|
||||
|
||||
function extraNetworksCopyCardPath(event, path) {
|
||||
navigator.clipboard.writeText(path);
|
||||
event.stopPropagation();
|
||||
}
|
||||
|
||||
function extraNetworksRequestMetadata(event, extraPage, cardName) {
|
||||
var showError = function() {
|
||||
extraNetworksShowMetadata("there was an error getting metadata");
|
||||
@@ -409,3 +609,39 @@ window.addEventListener("keydown", function(event) {
|
||||
closePopup();
|
||||
}
|
||||
});
|
||||
|
||||
/**
|
||||
* Setup custom loading for this script.
|
||||
* We need to wait for all of our HTML to be generated in the extra networks tabs
|
||||
* before we can actually run the `setupExtraNetworks` function.
|
||||
* The `onUiLoaded` function actually runs before all of our extra network tabs are
|
||||
* finished generating. Thus we needed this new method.
|
||||
*
|
||||
*/
|
||||
|
||||
var uiAfterScriptsCallbacks = [];
|
||||
var uiAfterScriptsTimeout = null;
|
||||
var executedAfterScripts = false;
|
||||
|
||||
function scheduleAfterScriptsCallbacks() {
|
||||
clearTimeout(uiAfterScriptsTimeout);
|
||||
uiAfterScriptsTimeout = setTimeout(function() {
|
||||
executeCallbacks(uiAfterScriptsCallbacks);
|
||||
}, 200);
|
||||
}
|
||||
|
||||
onUiLoaded(function() {
|
||||
var mutationObserver = new MutationObserver(function(m) {
|
||||
let existingSearchfields = gradioApp().querySelectorAll("[id$='_extra_search']").length;
|
||||
let neededSearchfields = gradioApp().querySelectorAll("[id$='_extra_tabs'] > .tab-nav > button").length - 2;
|
||||
|
||||
if (!executedAfterScripts && existingSearchfields >= neededSearchfields) {
|
||||
mutationObserver.disconnect();
|
||||
executedAfterScripts = true;
|
||||
scheduleAfterScriptsCallbacks();
|
||||
}
|
||||
});
|
||||
mutationObserver.observe(gradioApp(), {childList: true, subtree: true});
|
||||
});
|
||||
|
||||
uiAfterScriptsCallbacks.push(setupExtraNetworks);
|
||||
|
||||
@@ -45,8 +45,15 @@ function formatTime(secs) {
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
var originalAppTitle = undefined;
|
||||
|
||||
onUiLoaded(function() {
|
||||
originalAppTitle = document.title;
|
||||
});
|
||||
|
||||
function setTitle(progress) {
|
||||
var title = 'Stable Diffusion';
|
||||
var title = originalAppTitle;
|
||||
|
||||
if (opts.show_progress_in_title && progress) {
|
||||
title = '[' + progress.trim() + '] ' + title;
|
||||
|
||||
@@ -48,11 +48,6 @@ function setupTokenCounting(id, id_counter, id_button) {
|
||||
var counter = gradioApp().getElementById(id_counter);
|
||||
var textarea = gradioApp().querySelector(`#${id} > label > textarea`);
|
||||
|
||||
if (opts.disable_token_counters) {
|
||||
counter.style.display = "none";
|
||||
return;
|
||||
}
|
||||
|
||||
if (counter.parentElement == prompt.parentElement) {
|
||||
return;
|
||||
}
|
||||
@@ -61,15 +56,32 @@ function setupTokenCounting(id, id_counter, id_button) {
|
||||
prompt.parentElement.style.position = "relative";
|
||||
|
||||
var func = onEdit(id, textarea, 800, function() {
|
||||
gradioApp().getElementById(id_button)?.click();
|
||||
if (counter.classList.contains("token-counter-visible")) {
|
||||
gradioApp().getElementById(id_button)?.click();
|
||||
}
|
||||
});
|
||||
promptTokenCountUpdateFunctions[id] = func;
|
||||
promptTokenCountUpdateFunctions[id_button] = func;
|
||||
}
|
||||
|
||||
function setupTokenCounters() {
|
||||
setupTokenCounting('txt2img_prompt', 'txt2img_token_counter', 'txt2img_token_button');
|
||||
setupTokenCounting('txt2img_neg_prompt', 'txt2img_negative_token_counter', 'txt2img_negative_token_button');
|
||||
setupTokenCounting('img2img_prompt', 'img2img_token_counter', 'img2img_token_button');
|
||||
setupTokenCounting('img2img_neg_prompt', 'img2img_negative_token_counter', 'img2img_negative_token_button');
|
||||
function toggleTokenCountingVisibility(id, id_counter, id_button) {
|
||||
var counter = gradioApp().getElementById(id_counter);
|
||||
|
||||
counter.style.display = opts.disable_token_counters ? "none" : "block";
|
||||
counter.classList.toggle("token-counter-visible", !opts.disable_token_counters);
|
||||
}
|
||||
|
||||
function runCodeForTokenCounters(fun) {
|
||||
fun('txt2img_prompt', 'txt2img_token_counter', 'txt2img_token_button');
|
||||
fun('txt2img_neg_prompt', 'txt2img_negative_token_counter', 'txt2img_negative_token_button');
|
||||
fun('img2img_prompt', 'img2img_token_counter', 'img2img_token_button');
|
||||
fun('img2img_neg_prompt', 'img2img_negative_token_counter', 'img2img_negative_token_button');
|
||||
}
|
||||
|
||||
onUiLoaded(function() {
|
||||
runCodeForTokenCounters(setupTokenCounting);
|
||||
});
|
||||
|
||||
onOptionsChanged(function() {
|
||||
runCodeForTokenCounters(toggleTokenCountingVisibility);
|
||||
});
|
||||
|
||||
+11
-4
@@ -119,9 +119,18 @@ function create_submit_args(args) {
|
||||
return res;
|
||||
}
|
||||
|
||||
function setSubmitButtonsVisibility(tabname, showInterrupt, showSkip, showInterrupting) {
|
||||
gradioApp().getElementById(tabname + '_interrupt').style.display = showInterrupt ? "block" : "none";
|
||||
gradioApp().getElementById(tabname + '_skip').style.display = showSkip ? "block" : "none";
|
||||
gradioApp().getElementById(tabname + '_interrupting').style.display = showInterrupting ? "block" : "none";
|
||||
}
|
||||
|
||||
function showSubmitButtons(tabname, show) {
|
||||
gradioApp().getElementById(tabname + '_interrupt').style.display = show ? "none" : "block";
|
||||
gradioApp().getElementById(tabname + '_skip').style.display = show ? "none" : "block";
|
||||
setSubmitButtonsVisibility(tabname, !show, !show, false);
|
||||
}
|
||||
|
||||
function showSubmitInterruptingPlaceholder(tabname) {
|
||||
setSubmitButtonsVisibility(tabname, false, true, true);
|
||||
}
|
||||
|
||||
function showRestoreProgressButton(tabname, show) {
|
||||
@@ -310,8 +319,6 @@ onAfterUiUpdate(function() {
|
||||
});
|
||||
|
||||
json_elem.parentElement.style.display = "none";
|
||||
|
||||
setupTokenCounters();
|
||||
});
|
||||
|
||||
onOptionsChanged(function() {
|
||||
|
||||
@@ -230,6 +230,7 @@ class Api:
|
||||
self.add_api_route("/sdapi/v1/realesrgan-models", self.get_realesrgan_models, methods=["GET"], response_model=list[models.RealesrganItem])
|
||||
self.add_api_route("/sdapi/v1/prompt-styles", self.get_prompt_styles, methods=["GET"], response_model=list[models.PromptStyleItem])
|
||||
self.add_api_route("/sdapi/v1/embeddings", self.get_embeddings, methods=["GET"], response_model=models.EmbeddingsResponse)
|
||||
self.add_api_route("/sdapi/v1/refresh-embeddings", self.refresh_embeddings, methods=["POST"])
|
||||
self.add_api_route("/sdapi/v1/refresh-checkpoints", self.refresh_checkpoints, methods=["POST"])
|
||||
self.add_api_route("/sdapi/v1/refresh-vae", self.refresh_vae, methods=["POST"])
|
||||
self.add_api_route("/sdapi/v1/create/embedding", self.create_embedding, methods=["POST"], response_model=models.CreateResponse)
|
||||
@@ -747,6 +748,10 @@ class Api:
|
||||
"skipped": convert_embeddings(db.skipped_embeddings),
|
||||
}
|
||||
|
||||
def refresh_embeddings(self):
|
||||
with self.queue_lock:
|
||||
sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings(force_reload=True)
|
||||
|
||||
def refresh_checkpoints(self):
|
||||
with self.queue_lock:
|
||||
shared.refresh_checkpoints()
|
||||
|
||||
+21
-21
@@ -1,7 +1,7 @@
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
from modules.paths_internal import models_path, script_path, data_path, extensions_dir, extensions_builtin_dir, sd_default_config, sd_model_file # noqa: F401
|
||||
from modules.paths_internal import normalized_filepath, models_path, script_path, data_path, extensions_dir, extensions_builtin_dir, sd_default_config, sd_model_file # noqa: F401
|
||||
|
||||
parser = argparse.ArgumentParser()
|
||||
|
||||
@@ -19,21 +19,21 @@ parser.add_argument("--skip-install", action='store_true', help="launch.py argum
|
||||
parser.add_argument("--dump-sysinfo", action='store_true', help="launch.py argument: dump limited sysinfo file (without information about extensions, options) to disk and quit")
|
||||
parser.add_argument("--loglevel", type=str, help="log level; one of: CRITICAL, ERROR, WARNING, INFO, DEBUG", default=None)
|
||||
parser.add_argument("--do-not-download-clip", action='store_true', help="do not download CLIP model even if it's not included in the checkpoint")
|
||||
parser.add_argument("--data-dir", type=str, default=os.path.dirname(os.path.dirname(os.path.realpath(__file__))), help="base path where all user data is stored")
|
||||
parser.add_argument("--config", type=str, default=sd_default_config, help="path to config which constructs model",)
|
||||
parser.add_argument("--ckpt", type=str, default=sd_model_file, help="path to checkpoint of stable diffusion model; if specified, this checkpoint will be added to the list of checkpoints and loaded",)
|
||||
parser.add_argument("--ckpt-dir", type=str, default=None, help="Path to directory with stable diffusion checkpoints")
|
||||
parser.add_argument("--vae-dir", type=str, default=None, help="Path to directory with VAE files")
|
||||
parser.add_argument("--gfpgan-dir", type=str, help="GFPGAN directory", default=('./src/gfpgan' if os.path.exists('./src/gfpgan') else './GFPGAN'))
|
||||
parser.add_argument("--gfpgan-model", type=str, help="GFPGAN model file name", default=None)
|
||||
parser.add_argument("--data-dir", type=normalized_filepath, default=os.path.dirname(os.path.dirname(os.path.realpath(__file__))), help="base path where all user data is stored")
|
||||
parser.add_argument("--config", type=normalized_filepath, default=sd_default_config, help="path to config which constructs model",)
|
||||
parser.add_argument("--ckpt", type=normalized_filepath, default=sd_model_file, help="path to checkpoint of stable diffusion model; if specified, this checkpoint will be added to the list of checkpoints and loaded",)
|
||||
parser.add_argument("--ckpt-dir", type=normalized_filepath, default=None, help="Path to directory with stable diffusion checkpoints")
|
||||
parser.add_argument("--vae-dir", type=normalized_filepath, default=None, help="Path to directory with VAE files")
|
||||
parser.add_argument("--gfpgan-dir", type=normalized_filepath, help="GFPGAN directory", default=('./src/gfpgan' if os.path.exists('./src/gfpgan') else './GFPGAN'))
|
||||
parser.add_argument("--gfpgan-model", type=normalized_filepath, help="GFPGAN model file name", default=None)
|
||||
parser.add_argument("--no-half", action='store_true', help="do not switch the model to 16-bit floats")
|
||||
parser.add_argument("--no-half-vae", action='store_true', help="do not switch the VAE model to 16-bit floats")
|
||||
parser.add_argument("--no-progressbar-hiding", action='store_true', help="do not hide progressbar in gradio UI (we hide it because it slows down ML if you have hardware acceleration in browser)")
|
||||
parser.add_argument("--max-batch-count", type=int, default=16, help="maximum batch count value for the UI")
|
||||
parser.add_argument("--embeddings-dir", type=str, default=os.path.join(data_path, 'embeddings'), help="embeddings directory for textual inversion (default: embeddings)")
|
||||
parser.add_argument("--textual-inversion-templates-dir", type=str, default=os.path.join(script_path, 'textual_inversion_templates'), help="directory with textual inversion templates")
|
||||
parser.add_argument("--hypernetwork-dir", type=str, default=os.path.join(models_path, 'hypernetworks'), help="hypernetwork directory")
|
||||
parser.add_argument("--localizations-dir", type=str, default=os.path.join(script_path, 'localizations'), help="localizations directory")
|
||||
parser.add_argument("--embeddings-dir", type=normalized_filepath, default=os.path.join(data_path, 'embeddings'), help="embeddings directory for textual inversion (default: embeddings)")
|
||||
parser.add_argument("--textual-inversion-templates-dir", type=normalized_filepath, default=os.path.join(script_path, 'textual_inversion_templates'), help="directory with textual inversion templates")
|
||||
parser.add_argument("--hypernetwork-dir", type=normalized_filepath, default=os.path.join(models_path, 'hypernetworks'), help="hypernetwork directory")
|
||||
parser.add_argument("--localizations-dir", type=normalized_filepath, default=os.path.join(script_path, 'localizations'), help="localizations directory")
|
||||
parser.add_argument("--allow-code", action='store_true', help="allow custom script execution from webui")
|
||||
parser.add_argument("--medvram", action='store_true', help="enable stable diffusion model optimizations for sacrificing a little speed for low VRM usage")
|
||||
parser.add_argument("--medvram-sdxl", action='store_true', help="enable --medvram optimization just for SDXL models")
|
||||
@@ -48,12 +48,12 @@ parser.add_argument("--ngrok", type=str, help="ngrok authtoken, alternative to g
|
||||
parser.add_argument("--ngrok-region", type=str, help="does not do anything.", default="")
|
||||
parser.add_argument("--ngrok-options", type=json.loads, help='The options to pass to ngrok in JSON format, e.g.: \'{"authtoken_from_env":true, "basic_auth":"user:password", "oauth_provider":"google", "oauth_allow_emails":"user@asdf.com"}\'', default=dict())
|
||||
parser.add_argument("--enable-insecure-extension-access", action='store_true', help="enable extensions tab regardless of other options")
|
||||
parser.add_argument("--codeformer-models-path", type=str, help="Path to directory with codeformer model file(s).", default=os.path.join(models_path, 'Codeformer'))
|
||||
parser.add_argument("--gfpgan-models-path", type=str, help="Path to directory with GFPGAN model file(s).", default=os.path.join(models_path, 'GFPGAN'))
|
||||
parser.add_argument("--esrgan-models-path", type=str, help="Path to directory with ESRGAN model file(s).", default=os.path.join(models_path, 'ESRGAN'))
|
||||
parser.add_argument("--bsrgan-models-path", type=str, help="Path to directory with BSRGAN model file(s).", default=os.path.join(models_path, 'BSRGAN'))
|
||||
parser.add_argument("--realesrgan-models-path", type=str, help="Path to directory with RealESRGAN model file(s).", default=os.path.join(models_path, 'RealESRGAN'))
|
||||
parser.add_argument("--clip-models-path", type=str, help="Path to directory with CLIP model file(s).", default=None)
|
||||
parser.add_argument("--codeformer-models-path", type=normalized_filepath, help="Path to directory with codeformer model file(s).", default=os.path.join(models_path, 'Codeformer'))
|
||||
parser.add_argument("--gfpgan-models-path", type=normalized_filepath, help="Path to directory with GFPGAN model file(s).", default=os.path.join(models_path, 'GFPGAN'))
|
||||
parser.add_argument("--esrgan-models-path", type=normalized_filepath, help="Path to directory with ESRGAN model file(s).", default=os.path.join(models_path, 'ESRGAN'))
|
||||
parser.add_argument("--bsrgan-models-path", type=normalized_filepath, help="Path to directory with BSRGAN model file(s).", default=os.path.join(models_path, 'BSRGAN'))
|
||||
parser.add_argument("--realesrgan-models-path", type=normalized_filepath, help="Path to directory with RealESRGAN model file(s).", default=os.path.join(models_path, 'RealESRGAN'))
|
||||
parser.add_argument("--clip-models-path", type=normalized_filepath, help="Path to directory with CLIP model file(s).", default=None)
|
||||
parser.add_argument("--xformers", action='store_true', help="enable xformers for cross attention layers")
|
||||
parser.add_argument("--force-enable-xformers", action='store_true', help="enable xformers for cross attention layers regardless of whether the checking code thinks you can run it; do not make bug reports if this fails to work")
|
||||
parser.add_argument("--xformers-flash-attention", action='store_true', help="enable xformers with Flash Attention to improve reproducibility (supported for SD2.x or variant only)")
|
||||
@@ -83,18 +83,18 @@ parser.add_argument("--freeze-specific-settings", type=str, help='disable editin
|
||||
parser.add_argument("--ui-settings-file", type=str, help="filename to use for ui settings", default=os.path.join(data_path, 'config.json'))
|
||||
parser.add_argument("--gradio-debug", action='store_true', help="launch gradio with --debug option")
|
||||
parser.add_argument("--gradio-auth", type=str, help='set gradio authentication like "username:password"; or comma-delimit multiple like "u1:p1,u2:p2,u3:p3"', default=None)
|
||||
parser.add_argument("--gradio-auth-path", type=str, help='set gradio authentication file path ex. "/path/to/auth/file" same auth format as --gradio-auth', default=None)
|
||||
parser.add_argument("--gradio-auth-path", type=normalized_filepath, help='set gradio authentication file path ex. "/path/to/auth/file" same auth format as --gradio-auth', default=None)
|
||||
parser.add_argument("--gradio-img2img-tool", type=str, help='does not do anything')
|
||||
parser.add_argument("--gradio-inpaint-tool", type=str, help="does not do anything")
|
||||
parser.add_argument("--gradio-allowed-path", action='append', help="add path to gradio's allowed_paths, make it possible to serve files from it", default=[data_path])
|
||||
parser.add_argument("--opt-channelslast", action='store_true', help="change memory type for stable diffusion to channels last")
|
||||
parser.add_argument("--styles-file", type=str, help="filename to use for styles", default=os.path.join(data_path, 'styles.csv'))
|
||||
parser.add_argument("--styles-file", type=str, action='append', help="path or wildcard path of styles files, allow multiple entries.", default=[])
|
||||
parser.add_argument("--autolaunch", action='store_true', help="open the webui URL in the system's default browser upon launch", default=False)
|
||||
parser.add_argument("--theme", type=str, help="launches the UI with light or dark theme", default=None)
|
||||
parser.add_argument("--use-textbox-seed", action='store_true', help="use textbox for seeds in UI (no up/down, but possible to input long seeds)", default=False)
|
||||
parser.add_argument("--disable-console-progressbars", action='store_true', help="do not output progressbars to console", default=False)
|
||||
parser.add_argument("--enable-console-prompts", action='store_true', help="does not do anything", default=False) # Legacy compatibility, use as default value shared.opts.enable_console_prompts
|
||||
parser.add_argument('--vae-path', type=str, help='Checkpoint to use as VAE; setting this argument disables all settings related to VAE', default=None)
|
||||
parser.add_argument('--vae-path', type=normalized_filepath, help='Checkpoint to use as VAE; setting this argument disables all settings related to VAE', default=None)
|
||||
parser.add_argument("--disable-safe-unpickle", action='store_true', help="disable checking pytorch models for malicious code", default=False)
|
||||
parser.add_argument("--api", action='store_true', help="use api=True to launch the API together with the webui (use --nowebui instead for only the API)")
|
||||
parser.add_argument("--api-auth", type=str, help='Set authentication for API like "username:password"; or comma-delimit multiple like "u1:p1,u2:p2,u3:p3"', default=None)
|
||||
|
||||
+21
-5
@@ -3,8 +3,7 @@ import contextlib
|
||||
from functools import lru_cache
|
||||
|
||||
import torch
|
||||
from modules import errors, shared
|
||||
from modules import torch_utils
|
||||
from modules import errors, shared, npu_specific
|
||||
|
||||
if sys.platform == "darwin":
|
||||
from modules import mac_specific
|
||||
@@ -58,6 +57,9 @@ def get_optimal_device_name():
|
||||
if has_xpu():
|
||||
return xpu_specific.get_xpu_device_string()
|
||||
|
||||
if npu_specific.has_npu:
|
||||
return npu_specific.get_npu_device_string()
|
||||
|
||||
return "cpu"
|
||||
|
||||
|
||||
@@ -85,6 +87,16 @@ def torch_gc():
|
||||
if has_xpu():
|
||||
xpu_specific.torch_xpu_gc()
|
||||
|
||||
if npu_specific.has_npu:
|
||||
torch_npu_set_device()
|
||||
npu_specific.torch_npu_gc()
|
||||
|
||||
|
||||
def torch_npu_set_device():
|
||||
# Work around due to bug in torch_npu, revert me after fixed, @see https://gitee.com/ascend/pytorch/issues/I8KECW?from=project-issue
|
||||
if npu_specific.has_npu:
|
||||
torch.npu.set_device(0)
|
||||
|
||||
|
||||
def enable_tf32():
|
||||
if torch.cuda.is_available():
|
||||
@@ -141,7 +153,12 @@ def manual_cast_forward(target_dtype):
|
||||
args = [arg.to(target_dtype) if isinstance(arg, torch.Tensor) else arg for arg in args]
|
||||
kwargs = {k: v.to(target_dtype) if isinstance(v, torch.Tensor) else v for k, v in kwargs.items()}
|
||||
|
||||
org_dtype = torch_utils.get_param(self).dtype
|
||||
org_dtype = target_dtype
|
||||
for param in self.parameters():
|
||||
if param.dtype != target_dtype:
|
||||
org_dtype = param.dtype
|
||||
break
|
||||
|
||||
if org_dtype != target_dtype:
|
||||
self.to(target_dtype)
|
||||
result = self.org_forward(*args, **kwargs)
|
||||
@@ -170,7 +187,7 @@ def manual_cast(target_dtype):
|
||||
continue
|
||||
applied = True
|
||||
org_forward = module_type.forward
|
||||
if module_type == torch.nn.MultiheadAttention and has_xpu():
|
||||
if module_type == torch.nn.MultiheadAttention:
|
||||
module_type.forward = manual_cast_forward(torch.float32)
|
||||
else:
|
||||
module_type.forward = manual_cast_forward(target_dtype)
|
||||
@@ -252,4 +269,3 @@ def first_time_calculation():
|
||||
x = torch.zeros((1, 1, 3, 3)).to(device, dtype)
|
||||
conv2d = torch.nn.Conv2d(1, 1, (3, 3)).to(device, dtype)
|
||||
conv2d(x)
|
||||
|
||||
|
||||
+4
-1
@@ -21,7 +21,10 @@ def calculate_sha256(filename):
|
||||
|
||||
def sha256_from_cache(filename, title, use_addnet_hash=False):
|
||||
hashes = cache("hashes-addnet") if use_addnet_hash else cache("hashes")
|
||||
ondisk_mtime = os.path.getmtime(filename)
|
||||
try:
|
||||
ondisk_mtime = os.path.getmtime(filename)
|
||||
except FileNotFoundError:
|
||||
return None
|
||||
|
||||
if title not in hashes:
|
||||
return None
|
||||
|
||||
@@ -356,6 +356,9 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model
|
||||
if "Cache FP16 weight for LoRA" not in res and res["FP8 weight"] != "Disable":
|
||||
res["Cache FP16 weight for LoRA"] = False
|
||||
|
||||
if "Emphasis" not in res:
|
||||
res["Emphasis"] = "Original"
|
||||
|
||||
infotext_versions.backcompat(res)
|
||||
|
||||
for key in skip_fields:
|
||||
|
||||
@@ -31,9 +31,12 @@ def backcompat(d):
|
||||
if ver is None:
|
||||
return
|
||||
|
||||
if ver < v160:
|
||||
if ver < v160 and '[' in d.get('Prompt', ''):
|
||||
d["Old prompt editing timelines"] = True
|
||||
|
||||
if ver < v160 and d.get('Sampler', '') in ('DDIM', 'PLMS'):
|
||||
d["Pad conds v0"] = True
|
||||
|
||||
if ver < v170_tsnr:
|
||||
d["Downcast alphas_cumprod"] = True
|
||||
|
||||
|
||||
@@ -142,13 +142,14 @@ def initialize_rest(*, reload_script_modules=False):
|
||||
its optimization may be None because the list of optimizaers has neet been filled
|
||||
by that time, so we apply optimization again.
|
||||
"""
|
||||
from modules import devices
|
||||
devices.torch_npu_set_device()
|
||||
|
||||
shared.sd_model # noqa: B018
|
||||
|
||||
if sd_hijack.current_optimizer is None:
|
||||
sd_hijack.apply_optimizations()
|
||||
|
||||
from modules import devices
|
||||
devices.first_time_calculation()
|
||||
if not shared.cmd_opts.skip_load_model_at_start:
|
||||
Thread(target=load_model).start()
|
||||
|
||||
@@ -17,7 +17,7 @@ clip_model_name = 'ViT-L/14'
|
||||
|
||||
Category = namedtuple("Category", ["name", "topn", "items"])
|
||||
|
||||
re_topn = re.compile(r"\.top(\d+)\.")
|
||||
re_topn = re.compile(r"\.top(\d+)$")
|
||||
|
||||
def category_types():
|
||||
return [f.stem for f in Path(shared.interrogator.content_dir).glob('*.txt')]
|
||||
|
||||
@@ -188,7 +188,7 @@ def git_clone(url, dir, name, commithash=None):
|
||||
return
|
||||
|
||||
try:
|
||||
run(f'"{git}" clone "{url}" "{dir}"', f"Cloning {name} into {dir}...", f"Couldn't clone {name}", live=True)
|
||||
run(f'"{git}" clone --config core.filemode=false "{url}" "{dir}"', f"Cloning {name} into {dir}...", f"Couldn't clone {name}", live=True)
|
||||
except RuntimeError:
|
||||
shutil.rmtree(dir, ignore_errors=True)
|
||||
raise
|
||||
@@ -251,7 +251,6 @@ def list_extensions(settings_file):
|
||||
except Exception:
|
||||
errors.report(f'\nCould not load settings\nThe config file "{settings_file}" is likely corrupted\nIt has been moved to the "tmp/config.json"\nReverting config to default\n\n''', exc_info=True)
|
||||
os.replace(settings_file, os.path.join(script_path, "tmp", "config.json"))
|
||||
settings = {}
|
||||
|
||||
disabled_extensions = set(settings.get('disabled_extensions', []))
|
||||
disable_all_extensions = settings.get('disable_all_extensions', 'none')
|
||||
@@ -339,6 +338,7 @@ def prepare_environment():
|
||||
torch_index_url = os.environ.get('TORCH_INDEX_URL', "https://pytorch-extension.intel.com/release-whl/stable/xpu/us/")
|
||||
torch_command = os.environ.get('TORCH_COMMAND', f"pip install torch==2.0.0a0 intel-extension-for-pytorch==2.0.110+gitba7f6c1 --extra-index-url {torch_index_url}")
|
||||
requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
|
||||
requirements_file_for_npu = os.environ.get('REQS_FILE_FOR_NPU', "requirements_npu.txt")
|
||||
|
||||
xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.23.post1')
|
||||
clip_package = os.environ.get('CLIP_PACKAGE', "https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip")
|
||||
@@ -422,6 +422,13 @@ def prepare_environment():
|
||||
run_pip(f"install -r \"{requirements_file}\"", "requirements")
|
||||
startup_timer.record("install requirements")
|
||||
|
||||
if not os.path.isfile(requirements_file_for_npu):
|
||||
requirements_file_for_npu = os.path.join(script_path, requirements_file_for_npu)
|
||||
|
||||
if "torch_npu" in torch_command and not requirements_met(requirements_file_for_npu):
|
||||
run_pip(f"install -r \"{requirements_file_for_npu}\"", "requirements_for_npu")
|
||||
startup_timer.record("install requirements_for_npu")
|
||||
|
||||
if not args.skip_install:
|
||||
run_extensions_installers(settings_file=args.ui_settings_file)
|
||||
|
||||
|
||||
@@ -0,0 +1,31 @@
|
||||
import importlib
|
||||
import torch
|
||||
|
||||
from modules import shared
|
||||
|
||||
|
||||
def check_for_npu():
|
||||
if importlib.util.find_spec("torch_npu") is None:
|
||||
return False
|
||||
import torch_npu
|
||||
|
||||
try:
|
||||
# Will raise a RuntimeError if no NPU is found
|
||||
_ = torch_npu.npu.device_count()
|
||||
return torch.npu.is_available()
|
||||
except RuntimeError:
|
||||
return False
|
||||
|
||||
|
||||
def get_npu_device_string():
|
||||
if shared.cmd_opts.device_id is not None:
|
||||
return f"npu:{shared.cmd_opts.device_id}"
|
||||
return "npu:0"
|
||||
|
||||
|
||||
def torch_npu_gc():
|
||||
with torch.npu.device(get_npu_device_string()):
|
||||
torch.npu.empty_cache()
|
||||
|
||||
|
||||
has_npu = check_for_npu()
|
||||
@@ -198,6 +198,8 @@ class Options:
|
||||
try:
|
||||
with open(filename, "r", encoding="utf8") as file:
|
||||
self.data = json.load(file)
|
||||
except FileNotFoundError:
|
||||
self.data = {}
|
||||
except Exception:
|
||||
errors.report(f'\nCould not load settings\nThe config file "{filename}" is likely corrupted\nIt has been moved to the "tmp/config.json"\nReverting config to default\n\n''', exc_info=True)
|
||||
os.replace(filename, os.path.join(script_path, "tmp", "config.json"))
|
||||
|
||||
@@ -4,6 +4,10 @@ import argparse
|
||||
import os
|
||||
import sys
|
||||
import shlex
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
normalized_filepath = lambda filepath: str(Path(filepath).resolve())
|
||||
|
||||
commandline_args = os.environ.get('COMMANDLINE_ARGS', "")
|
||||
sys.argv += shlex.split(commandline_args)
|
||||
|
||||
@@ -455,6 +455,7 @@ class StableDiffusionProcessing:
|
||||
self.height,
|
||||
opts.fp8_storage,
|
||||
opts.cache_fp16_weight,
|
||||
opts.emphasis,
|
||||
)
|
||||
|
||||
def get_conds_with_caching(self, function, required_prompts, steps, caches, extra_network_data, hires_steps=None):
|
||||
@@ -1005,7 +1006,13 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
|
||||
image = pp.image
|
||||
|
||||
mask_for_overlay = getattr(p, "mask_for_overlay", None)
|
||||
overlay_image = p.overlay_images[i] if getattr(p, "overlay_images", None) is not None and i < len(p.overlay_images) else None
|
||||
|
||||
if not shared.opts.overlay_inpaint:
|
||||
overlay_image = None
|
||||
elif getattr(p, "overlay_images", None) is not None and i < len(p.overlay_images):
|
||||
overlay_image = p.overlay_images[i]
|
||||
else:
|
||||
overlay_image = None
|
||||
|
||||
if p.scripts is not None:
|
||||
ppmo = scripts.PostProcessMaskOverlayArgs(i, mask_for_overlay, overlay_image)
|
||||
|
||||
@@ -0,0 +1,42 @@
|
||||
from modules import scripts, shared, script_callbacks
|
||||
import re
|
||||
|
||||
|
||||
def strip_comments(text):
|
||||
text = re.sub('(^|\n)#[^\n]*(\n|$)', '\n', text) # while line comment
|
||||
text = re.sub('#[^\n]*(\n|$)', '\n', text) # in the middle of the line comment
|
||||
|
||||
return text
|
||||
|
||||
|
||||
class ScriptStripComments(scripts.Script):
|
||||
def title(self):
|
||||
return "Comments"
|
||||
|
||||
def show(self, is_img2img):
|
||||
return scripts.AlwaysVisible
|
||||
|
||||
def process(self, p, *args):
|
||||
if not shared.opts.enable_prompt_comments:
|
||||
return
|
||||
|
||||
p.all_prompts = [strip_comments(x) for x in p.all_prompts]
|
||||
p.all_negative_prompts = [strip_comments(x) for x in p.all_negative_prompts]
|
||||
|
||||
p.main_prompt = strip_comments(p.main_prompt)
|
||||
p.main_negative_prompt = strip_comments(p.main_negative_prompt)
|
||||
|
||||
|
||||
def before_token_counter(params: script_callbacks.BeforeTokenCounterParams):
|
||||
if not shared.opts.enable_prompt_comments:
|
||||
return
|
||||
|
||||
params.prompt = strip_comments(params.prompt)
|
||||
|
||||
|
||||
script_callbacks.on_before_token_counter(before_token_counter)
|
||||
|
||||
|
||||
shared.options_templates.update(shared.options_section(('sd', "Stable Diffusion", "sd"), {
|
||||
"enable_prompt_comments": shared.OptionInfo(True, "Enable comments").info("Use # anywhere in the prompt to hide the text between # and the end of the line from the generation."),
|
||||
}))
|
||||
@@ -1,3 +1,4 @@
|
||||
import dataclasses
|
||||
import inspect
|
||||
import os
|
||||
from collections import namedtuple
|
||||
@@ -106,6 +107,15 @@ class ImageGridLoopParams:
|
||||
self.rows = rows
|
||||
|
||||
|
||||
@dataclasses.dataclass
|
||||
class BeforeTokenCounterParams:
|
||||
prompt: str
|
||||
steps: int
|
||||
styles: list
|
||||
|
||||
is_positive: bool = True
|
||||
|
||||
|
||||
ScriptCallback = namedtuple("ScriptCallback", ["script", "callback"])
|
||||
callback_map = dict(
|
||||
callbacks_app_started=[],
|
||||
@@ -128,6 +138,7 @@ callback_map = dict(
|
||||
callbacks_on_reload=[],
|
||||
callbacks_list_optimizers=[],
|
||||
callbacks_list_unets=[],
|
||||
callbacks_before_token_counter=[],
|
||||
)
|
||||
|
||||
|
||||
@@ -309,6 +320,14 @@ def list_unets_callback():
|
||||
return res
|
||||
|
||||
|
||||
def before_token_counter_callback(params: BeforeTokenCounterParams):
|
||||
for c in callback_map['callbacks_before_token_counter']:
|
||||
try:
|
||||
c.callback(params)
|
||||
except Exception:
|
||||
report_exception(c, 'before_token_counter')
|
||||
|
||||
|
||||
def add_callback(callbacks, fun):
|
||||
stack = [x for x in inspect.stack() if x.filename != __file__]
|
||||
filename = stack[0].filename if stack else 'unknown file'
|
||||
@@ -483,3 +502,10 @@ def on_list_unets(callback):
|
||||
The function will be called with one argument, a list, and shall add objects of type modules.sd_unet.SdUnetOption to it."""
|
||||
|
||||
add_callback(callback_map['callbacks_list_unets'], callback)
|
||||
|
||||
|
||||
def on_before_token_counter(callback):
|
||||
"""register a function to be called when UI is counting tokens for a prompt.
|
||||
The function will be called with one argument of type BeforeTokenCounterParams, and should modify its fields if necessary."""
|
||||
|
||||
add_callback(callback_map['callbacks_before_token_counter'], callback)
|
||||
|
||||
+20
-8
@@ -939,22 +939,34 @@ class ScriptRunner:
|
||||
except Exception:
|
||||
errors.report(f"Error running setup: {script.filename}", exc_info=True)
|
||||
|
||||
def set_named_arg(self, args, script_type, arg_elem_id, value):
|
||||
script = next((x for x in self.scripts if type(x).__name__ == script_type), None)
|
||||
def set_named_arg(self, args, script_name, arg_elem_id, value, fuzzy=False):
|
||||
"""Locate an arg of a specific script in script_args and set its value
|
||||
Args:
|
||||
args: all script args of process p, p.script_args
|
||||
script_name: the name target script name to
|
||||
arg_elem_id: the elem_id of the target arg
|
||||
value: the value to set
|
||||
fuzzy: if True, arg_elem_id can be a substring of the control.elem_id else exact match
|
||||
Returns:
|
||||
Updated script args
|
||||
when script_name in not found or arg_elem_id is not found in script controls, raise RuntimeError
|
||||
"""
|
||||
script = next((x for x in self.scripts if x.name == script_name), None)
|
||||
if script is None:
|
||||
return
|
||||
raise RuntimeError(f"script {script_name} not found")
|
||||
|
||||
for i, control in enumerate(script.controls):
|
||||
if arg_elem_id in control.elem_id:
|
||||
if arg_elem_id in control.elem_id if fuzzy else arg_elem_id == control.elem_id:
|
||||
index = script.args_from + i
|
||||
|
||||
if isinstance(args, list):
|
||||
if isinstance(args, tuple):
|
||||
return args[:index] + (value,) + args[index + 1:]
|
||||
elif isinstance(args, list):
|
||||
args[index] = value
|
||||
return args
|
||||
elif isinstance(args, tuple):
|
||||
return args[:index] + (value,) + args[index+1:]
|
||||
else:
|
||||
return None
|
||||
raise RuntimeError(f"args is not a list or tuple, but {type(args)}")
|
||||
raise RuntimeError(f"arg_elem_id {arg_elem_id} not found in script {script_name}")
|
||||
|
||||
|
||||
scripts_txt2img: ScriptRunner = None
|
||||
|
||||
@@ -0,0 +1,70 @@
|
||||
from __future__ import annotations
|
||||
import torch
|
||||
|
||||
|
||||
class Emphasis:
|
||||
"""Emphasis class decides how to death with (emphasized:1.1) text in prompts"""
|
||||
|
||||
name: str = "Base"
|
||||
description: str = ""
|
||||
|
||||
tokens: list[list[int]]
|
||||
"""tokens from the chunk of the prompt"""
|
||||
|
||||
multipliers: torch.Tensor
|
||||
"""tensor with multipliers, once for each token"""
|
||||
|
||||
z: torch.Tensor
|
||||
"""output of cond transformers network (CLIP)"""
|
||||
|
||||
def after_transformers(self):
|
||||
"""Called after cond transformers network has processed the chunk of the prompt; this function should modify self.z to apply the emphasis"""
|
||||
|
||||
pass
|
||||
|
||||
|
||||
class EmphasisNone(Emphasis):
|
||||
name = "None"
|
||||
description = "disable the mechanism entirely and treat (:.1.1) as literal characters"
|
||||
|
||||
|
||||
class EmphasisIgnore(Emphasis):
|
||||
name = "Ignore"
|
||||
description = "treat all empasised words as if they have no emphasis"
|
||||
|
||||
|
||||
class EmphasisOriginal(Emphasis):
|
||||
name = "Original"
|
||||
description = "the orginal emphasis implementation"
|
||||
|
||||
def after_transformers(self):
|
||||
original_mean = self.z.mean()
|
||||
self.z = self.z * self.multipliers.reshape(self.multipliers.shape + (1,)).expand(self.z.shape)
|
||||
|
||||
# restoring original mean is likely not correct, but it seems to work well to prevent artifacts that happen otherwise
|
||||
new_mean = self.z.mean()
|
||||
self.z = self.z * (original_mean / new_mean)
|
||||
|
||||
|
||||
class EmphasisOriginalNoNorm(EmphasisOriginal):
|
||||
name = "No norm"
|
||||
description = "same as orginal, but without normalization (seems to work better for SDXL)"
|
||||
|
||||
def after_transformers(self):
|
||||
self.z = self.z * self.multipliers.reshape(self.multipliers.shape + (1,)).expand(self.z.shape)
|
||||
|
||||
|
||||
def get_current_option(emphasis_option_name):
|
||||
return next(iter([x for x in options if x.name == emphasis_option_name]), EmphasisOriginal)
|
||||
|
||||
|
||||
def get_options_descriptions():
|
||||
return ", ".join(f"{x.name}: {x.description}" for x in options)
|
||||
|
||||
|
||||
options = [
|
||||
EmphasisNone,
|
||||
EmphasisIgnore,
|
||||
EmphasisOriginal,
|
||||
EmphasisOriginalNoNorm,
|
||||
]
|
||||
@@ -3,7 +3,7 @@ from collections import namedtuple
|
||||
|
||||
import torch
|
||||
|
||||
from modules import prompt_parser, devices, sd_hijack
|
||||
from modules import prompt_parser, devices, sd_hijack, sd_emphasis
|
||||
from modules.shared import opts
|
||||
|
||||
|
||||
@@ -88,7 +88,7 @@ class FrozenCLIPEmbedderWithCustomWordsBase(torch.nn.Module):
|
||||
Returns the list and the total number of tokens in the prompt.
|
||||
"""
|
||||
|
||||
if opts.enable_emphasis:
|
||||
if opts.emphasis != "None":
|
||||
parsed = prompt_parser.parse_prompt_attention(line)
|
||||
else:
|
||||
parsed = [[line, 1.0]]
|
||||
@@ -249,6 +249,9 @@ class FrozenCLIPEmbedderWithCustomWordsBase(torch.nn.Module):
|
||||
hashes.append(self.hijack.extra_generation_params.get("TI hashes"))
|
||||
self.hijack.extra_generation_params["TI hashes"] = ", ".join(hashes)
|
||||
|
||||
if any(x for x in texts if "(" in x or "[" in x) and opts.emphasis != "Original":
|
||||
self.hijack.extra_generation_params["Emphasis"] = opts.emphasis
|
||||
|
||||
if getattr(self.wrapped, 'return_pooled', False):
|
||||
return torch.hstack(zs), zs[0].pooled
|
||||
else:
|
||||
@@ -274,12 +277,14 @@ class FrozenCLIPEmbedderWithCustomWordsBase(torch.nn.Module):
|
||||
|
||||
pooled = getattr(z, 'pooled', None)
|
||||
|
||||
# restoring original mean is likely not correct, but it seems to work well to prevent artifacts that happen otherwise
|
||||
batch_multipliers = torch.asarray(batch_multipliers).to(devices.device)
|
||||
original_mean = z.mean()
|
||||
z = z * batch_multipliers.reshape(batch_multipliers.shape + (1,)).expand(z.shape)
|
||||
new_mean = z.mean()
|
||||
z = z * (original_mean / new_mean)
|
||||
emphasis = sd_emphasis.get_current_option(opts.emphasis)()
|
||||
emphasis.tokens = remade_batch_tokens
|
||||
emphasis.multipliers = torch.asarray(batch_multipliers).to(devices.device)
|
||||
emphasis.z = z
|
||||
|
||||
emphasis.after_transformers()
|
||||
|
||||
z = emphasis.z
|
||||
|
||||
if pooled is not None:
|
||||
z.pooled = pooled
|
||||
|
||||
@@ -32,7 +32,7 @@ def process_text_old(self: sd_hijack_clip.FrozenCLIPEmbedderWithCustomWordsBase,
|
||||
|
||||
embedding, embedding_length_in_tokens = self.hijack.embedding_db.find_embedding_at_position(tokens, i)
|
||||
|
||||
mult_change = self.token_mults.get(token) if shared.opts.enable_emphasis else None
|
||||
mult_change = self.token_mults.get(token) if shared.opts.emphasis != "None" else None
|
||||
if mult_change is not None:
|
||||
mult *= mult_change
|
||||
i += 1
|
||||
|
||||
@@ -53,6 +53,7 @@ class CFGDenoiser(torch.nn.Module):
|
||||
self.step = 0
|
||||
self.image_cfg_scale = None
|
||||
self.padded_cond_uncond = False
|
||||
self.padded_cond_uncond_v0 = False
|
||||
self.sampler = sampler
|
||||
self.model_wrap = None
|
||||
self.p = None
|
||||
@@ -91,6 +92,62 @@ class CFGDenoiser(torch.nn.Module):
|
||||
self.sampler.sampler_extra_args['cond'] = c
|
||||
self.sampler.sampler_extra_args['uncond'] = uc
|
||||
|
||||
def pad_cond_uncond(self, cond, uncond):
|
||||
empty = shared.sd_model.cond_stage_model_empty_prompt
|
||||
num_repeats = (cond.shape[1] - uncond.shape[1]) // empty.shape[1]
|
||||
|
||||
if num_repeats < 0:
|
||||
cond = pad_cond(cond, -num_repeats, empty)
|
||||
self.padded_cond_uncond = True
|
||||
elif num_repeats > 0:
|
||||
uncond = pad_cond(uncond, num_repeats, empty)
|
||||
self.padded_cond_uncond = True
|
||||
|
||||
return cond, uncond
|
||||
|
||||
def pad_cond_uncond_v0(self, cond, uncond):
|
||||
"""
|
||||
Pads the 'uncond' tensor to match the shape of the 'cond' tensor.
|
||||
|
||||
If 'uncond' is a dictionary, it is assumed that the 'crossattn' key holds the tensor to be padded.
|
||||
If 'uncond' is a tensor, it is padded directly.
|
||||
|
||||
If the number of columns in 'uncond' is less than the number of columns in 'cond', the last column of 'uncond'
|
||||
is repeated to match the number of columns in 'cond'.
|
||||
|
||||
If the number of columns in 'uncond' is greater than the number of columns in 'cond', 'uncond' is truncated
|
||||
to match the number of columns in 'cond'.
|
||||
|
||||
Args:
|
||||
cond (torch.Tensor or DictWithShape): The condition tensor to match the shape of 'uncond'.
|
||||
uncond (torch.Tensor or DictWithShape): The tensor to be padded, or a dictionary containing the tensor to be padded.
|
||||
|
||||
Returns:
|
||||
tuple: A tuple containing the 'cond' tensor and the padded 'uncond' tensor.
|
||||
|
||||
Note:
|
||||
This is the padding that was always used in DDIM before version 1.6.0
|
||||
"""
|
||||
|
||||
is_dict_cond = isinstance(uncond, dict)
|
||||
uncond_vec = uncond['crossattn'] if is_dict_cond else uncond
|
||||
|
||||
if uncond_vec.shape[1] < cond.shape[1]:
|
||||
last_vector = uncond_vec[:, -1:]
|
||||
last_vector_repeated = last_vector.repeat([1, cond.shape[1] - uncond_vec.shape[1], 1])
|
||||
uncond_vec = torch.hstack([uncond_vec, last_vector_repeated])
|
||||
self.padded_cond_uncond_v0 = True
|
||||
elif uncond_vec.shape[1] > cond.shape[1]:
|
||||
uncond_vec = uncond_vec[:, :cond.shape[1]]
|
||||
self.padded_cond_uncond_v0 = True
|
||||
|
||||
if is_dict_cond:
|
||||
uncond['crossattn'] = uncond_vec
|
||||
else:
|
||||
uncond = uncond_vec
|
||||
|
||||
return cond, uncond
|
||||
|
||||
def forward(self, x, sigma, uncond, cond, cond_scale, s_min_uncond, image_cond):
|
||||
if state.interrupted or state.skipped:
|
||||
raise sd_samplers_common.InterruptedException
|
||||
@@ -162,16 +219,11 @@ class CFGDenoiser(torch.nn.Module):
|
||||
sigma_in = sigma_in[:-batch_size]
|
||||
|
||||
self.padded_cond_uncond = False
|
||||
self.padded_cond_uncond_v0 = False
|
||||
if shared.opts.pad_cond_uncond and tensor.shape[1] != uncond.shape[1]:
|
||||
empty = shared.sd_model.cond_stage_model_empty_prompt
|
||||
num_repeats = (tensor.shape[1] - uncond.shape[1]) // empty.shape[1]
|
||||
|
||||
if num_repeats < 0:
|
||||
tensor = pad_cond(tensor, -num_repeats, empty)
|
||||
self.padded_cond_uncond = True
|
||||
elif num_repeats > 0:
|
||||
uncond = pad_cond(uncond, num_repeats, empty)
|
||||
self.padded_cond_uncond = True
|
||||
tensor, uncond = self.pad_cond_uncond(tensor, uncond)
|
||||
elif shared.opts.pad_cond_uncond_v0 and tensor.shape[1] != uncond.shape[1]:
|
||||
tensor, uncond = self.pad_cond_uncond_v0(tensor, uncond)
|
||||
|
||||
if tensor.shape[1] == uncond.shape[1] or skip_uncond:
|
||||
if is_edit_model:
|
||||
|
||||
@@ -335,3 +335,10 @@ class Sampler:
|
||||
|
||||
def sample_img2img(self, p, x, noise, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
|
||||
raise NotImplementedError()
|
||||
|
||||
def add_infotext(self, p):
|
||||
if self.model_wrap_cfg.padded_cond_uncond:
|
||||
p.extra_generation_params["Pad conds"] = True
|
||||
|
||||
if self.model_wrap_cfg.padded_cond_uncond_v0:
|
||||
p.extra_generation_params["Pad conds v0"] = True
|
||||
|
||||
@@ -187,8 +187,7 @@ class KDiffusionSampler(sd_samplers_common.Sampler):
|
||||
|
||||
samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
|
||||
|
||||
if self.model_wrap_cfg.padded_cond_uncond:
|
||||
p.extra_generation_params["Pad conds"] = True
|
||||
self.add_infotext(p)
|
||||
|
||||
return samples
|
||||
|
||||
@@ -234,8 +233,7 @@ class KDiffusionSampler(sd_samplers_common.Sampler):
|
||||
|
||||
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
|
||||
|
||||
if self.model_wrap_cfg.padded_cond_uncond:
|
||||
p.extra_generation_params["Pad conds"] = True
|
||||
self.add_infotext(p)
|
||||
|
||||
return samples
|
||||
|
||||
|
||||
@@ -133,8 +133,7 @@ class CompVisSampler(sd_samplers_common.Sampler):
|
||||
|
||||
samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
|
||||
|
||||
if self.model_wrap_cfg.padded_cond_uncond:
|
||||
p.extra_generation_params["Pad conds"] = True
|
||||
self.add_infotext(p)
|
||||
|
||||
return samples
|
||||
|
||||
@@ -158,8 +157,7 @@ class CompVisSampler(sd_samplers_common.Sampler):
|
||||
}
|
||||
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
|
||||
|
||||
if self.model_wrap_cfg.padded_cond_uncond:
|
||||
p.extra_generation_params["Pad conds"] = True
|
||||
self.add_infotext(p)
|
||||
|
||||
return samples
|
||||
|
||||
|
||||
+2
-1
@@ -1,3 +1,4 @@
|
||||
import os
|
||||
import sys
|
||||
|
||||
import gradio as gr
|
||||
@@ -11,7 +12,7 @@ parser = shared_cmd_options.parser
|
||||
|
||||
batch_cond_uncond = True # old field, unused now in favor of shared.opts.batch_cond_uncond
|
||||
parallel_processing_allowed = True
|
||||
styles_filename = cmd_opts.styles_file
|
||||
styles_filename = cmd_opts.styles_file = cmd_opts.styles_file if len(cmd_opts.styles_file) > 0 else [os.path.join(data_path, 'styles.csv')]
|
||||
config_filename = cmd_opts.ui_settings_file
|
||||
hide_dirs = {"visible": not cmd_opts.hide_ui_dir_config}
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import os
|
||||
import gradio as gr
|
||||
|
||||
from modules import localization, ui_components, shared_items, shared, interrogate, shared_gradio_themes, util
|
||||
from modules import localization, ui_components, shared_items, shared, interrogate, shared_gradio_themes, util, sd_emphasis
|
||||
from modules.paths_internal import models_path, script_path, data_path, sd_configs_path, sd_default_config, sd_model_file, default_sd_model_file, extensions_dir, extensions_builtin_dir, default_output_dir # noqa: F401
|
||||
from modules.shared_cmd_options import cmd_opts
|
||||
from modules.options import options_section, OptionInfo, OptionHTML, categories
|
||||
@@ -154,7 +154,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion", "sd"), {
|
||||
"sd_checkpoint_cache": OptionInfo(0, "Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}).info("obsolete; set to 0 and use the two settings above instead"),
|
||||
"sd_unet": OptionInfo("Automatic", "SD Unet", gr.Dropdown, lambda: {"choices": shared_items.sd_unet_items()}, refresh=shared_items.refresh_unet_list).info("choose Unet model: Automatic = use one with same filename as checkpoint; None = use Unet from checkpoint"),
|
||||
"enable_quantization": OptionInfo(False, "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds").needs_reload_ui(),
|
||||
"enable_emphasis": OptionInfo(True, "Enable emphasis").info("use (text) to make model pay more attention to text and [text] to make it pay less attention"),
|
||||
"emphasis": OptionInfo("Original", "Emphasis mode", gr.Radio, lambda: {"choices": [x.name for x in sd_emphasis.options]}, infotext="Emphasis").info("makes it possible to make model to pay (more:1.1) or (less:0.9) attention to text when you use the syntax in prompt; " + sd_emphasis.get_options_descriptions()),
|
||||
"enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
|
||||
"comma_padding_backtrack": OptionInfo(20, "Prompt word wrap length limit", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1}).info("in tokens - for texts shorter than specified, if they don't fit into 75 token limit, move them to the next 75 token chunk"),
|
||||
"CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}, infotext="Clip skip").link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#clip-skip").info("ignore last layers of CLIP network; 1 ignores none, 2 ignores one layer"),
|
||||
@@ -201,6 +201,7 @@ options_templates.update(options_section(('img2img', "img2img", "sd"), {
|
||||
"return_mask": OptionInfo(False, "For inpainting, include the greyscale mask in results for web"),
|
||||
"return_mask_composite": OptionInfo(False, "For inpainting, include masked composite in results for web"),
|
||||
"img2img_batch_show_results_limit": OptionInfo(32, "Show the first N batch img2img results in UI", gr.Slider, {"minimum": -1, "maximum": 1000, "step": 1}).info('0: disable, -1: show all images. Too many images can cause lag'),
|
||||
"overlay_inpaint": OptionInfo(True, "Overlay original for inpaint").info("when inpainting, overlay the original image over the areas that weren't inpainted."),
|
||||
}))
|
||||
|
||||
options_templates.update(options_section(('optimizations', "Optimizations", "sd"), {
|
||||
@@ -209,7 +210,8 @@ options_templates.update(options_section(('optimizations', "Optimizations", "sd"
|
||||
"token_merging_ratio": OptionInfo(0.0, "Token merging ratio", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}, infotext='Token merging ratio').link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9256").info("0=disable, higher=faster"),
|
||||
"token_merging_ratio_img2img": OptionInfo(0.0, "Token merging ratio for img2img", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}).info("only applies if non-zero and overrides above"),
|
||||
"token_merging_ratio_hr": OptionInfo(0.0, "Token merging ratio for high-res pass", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}, infotext='Token merging ratio hr').info("only applies if non-zero and overrides above"),
|
||||
"pad_cond_uncond": OptionInfo(False, "Pad prompt/negative prompt to be same length", infotext='Pad conds').info("improves performance when prompt and negative prompt have different lengths; changes seeds"),
|
||||
"pad_cond_uncond": OptionInfo(False, "Pad prompt/negative prompt", infotext='Pad conds').info("improves performance when prompt and negative prompt have different lengths; changes seeds"),
|
||||
"pad_cond_uncond_v0": OptionInfo(False, "Pad prompt/negative prompt (v0)", infotext='Pad conds v0').info("alternative implementation for the above; used prior to 1.6.0 for DDIM sampler; ignored if the above is set; changes seeds"),
|
||||
"persistent_cond_cache": OptionInfo(True, "Persistent cond cache").info("do not recalculate conds from prompts if prompts have not changed since previous calculation"),
|
||||
"batch_cond_uncond": OptionInfo(True, "Batch cond/uncond").info("do both conditional and unconditional denoising in one batch; uses a bit more VRAM during sampling, but improves speed; previously this was controlled by --always-batch-cond-uncond comandline argument"),
|
||||
"fp8_storage": OptionInfo("Disable", "FP8 weight", gr.Radio, {"choices": ["Disable", "Enable for SDXL", "Enable"]}).info("Use FP8 to store Linear/Conv layers' weight. Require pytorch>=2.1.0."),
|
||||
@@ -254,6 +256,7 @@ options_templates.update(options_section(('extra_networks', "Extra Networks", "s
|
||||
"extra_networks_card_show_desc": OptionInfo(True, "Show description on card"),
|
||||
"extra_networks_card_order_field": OptionInfo("Path", "Default order field for Extra Networks cards", gr.Dropdown, {"choices": ['Path', 'Name', 'Date Created', 'Date Modified']}).needs_reload_ui(),
|
||||
"extra_networks_card_order": OptionInfo("Ascending", "Default order for Extra Networks cards", gr.Dropdown, {"choices": ['Ascending', 'Descending']}).needs_reload_ui(),
|
||||
"extra_networks_tree_view_default_enabled": OptionInfo(False, "Enables the Extra Networks directory tree view by default").needs_reload_ui(),
|
||||
"extra_networks_add_text_separator": OptionInfo(" ", "Extra networks separator").info("extra text to add before <...> when adding extra network to prompt"),
|
||||
"ui_extra_networks_tab_reorder": OptionInfo("", "Extra networks tab order").needs_reload_ui(),
|
||||
"textual_inversion_print_at_load": OptionInfo(False, "Print a list of Textual Inversion embeddings when loading model"),
|
||||
@@ -267,7 +270,8 @@ options_templates.update(options_section(('ui_prompt_editing', "Prompt editing",
|
||||
"keyedit_delimiters": OptionInfo(r".,\/!?%^*;:{}=`~() ", "Word delimiters when editing the prompt with Ctrl+up/down"),
|
||||
"keyedit_delimiters_whitespace": OptionInfo(["Tab", "Carriage Return", "Line Feed"], "Ctrl+up/down whitespace delimiters", gr.CheckboxGroup, lambda: {"choices": ["Tab", "Carriage Return", "Line Feed"]}),
|
||||
"keyedit_move": OptionInfo(True, "Alt+left/right moves prompt elements"),
|
||||
"disable_token_counters": OptionInfo(False, "Disable prompt token counters").needs_reload_ui(),
|
||||
"disable_token_counters": OptionInfo(False, "Disable prompt token counters"),
|
||||
"include_styles_into_token_counters": OptionInfo(True, "Count tokens of enabled styles").info("When calculating how many tokens the prompt has, also consider tokens added by enabled styles."),
|
||||
}))
|
||||
|
||||
options_templates.update(options_section(('ui_gallery', "Gallery", "ui"), {
|
||||
|
||||
+56
-51
@@ -1,16 +1,16 @@
|
||||
from pathlib import Path
|
||||
from modules import errors
|
||||
import csv
|
||||
import fnmatch
|
||||
import os
|
||||
import os.path
|
||||
import typing
|
||||
import shutil
|
||||
|
||||
|
||||
class PromptStyle(typing.NamedTuple):
|
||||
name: str
|
||||
prompt: str
|
||||
negative_prompt: str
|
||||
path: str = None
|
||||
prompt: str | None
|
||||
negative_prompt: str | None
|
||||
path: str | None = None
|
||||
|
||||
|
||||
def merge_prompts(style_prompt: str, prompt: str) -> str:
|
||||
@@ -79,14 +79,19 @@ def extract_original_prompts(style: PromptStyle, prompt, negative_prompt):
|
||||
|
||||
|
||||
class StyleDatabase:
|
||||
def __init__(self, path: str):
|
||||
def __init__(self, paths: list[str | Path]):
|
||||
self.no_style = PromptStyle("None", "", "", None)
|
||||
self.styles = {}
|
||||
self.path = path
|
||||
self.paths = paths
|
||||
self.all_styles_files: list[Path] = []
|
||||
|
||||
folder, file = os.path.split(self.path)
|
||||
filename, _, ext = file.partition('*')
|
||||
self.default_path = os.path.join(folder, filename + ext)
|
||||
folder, file = os.path.split(self.paths[0])
|
||||
if '*' in file or '?' in file:
|
||||
# if the first path is a wildcard pattern, find the first match else use "folder/styles.csv" as the default path
|
||||
self.default_path = next(Path(folder).glob(file), Path(os.path.join(folder, 'styles.csv')))
|
||||
self.paths.insert(0, self.default_path)
|
||||
else:
|
||||
self.default_path = Path(self.paths[0])
|
||||
|
||||
self.prompt_fields = [field for field in PromptStyle._fields if field != "path"]
|
||||
|
||||
@@ -99,57 +104,58 @@ class StyleDatabase:
|
||||
"""
|
||||
self.styles.clear()
|
||||
|
||||
path, filename = os.path.split(self.path)
|
||||
# scans for all styles files
|
||||
all_styles_files = []
|
||||
for pattern in self.paths:
|
||||
folder, file = os.path.split(pattern)
|
||||
if '*' in file or '?' in file:
|
||||
found_files = Path(folder).glob(file)
|
||||
[all_styles_files.append(file) for file in found_files]
|
||||
else:
|
||||
# if os.path.exists(pattern):
|
||||
all_styles_files.append(Path(pattern))
|
||||
|
||||
if "*" in filename:
|
||||
fileglob = filename.split("*")[0] + "*.csv"
|
||||
filelist = []
|
||||
for file in os.listdir(path):
|
||||
if fnmatch.fnmatch(file, fileglob):
|
||||
filelist.append(file)
|
||||
# Add a visible divider to the style list
|
||||
half_len = round(len(file) / 2)
|
||||
divider = f"{'-' * (20 - half_len)} {file.upper()}"
|
||||
divider = f"{divider} {'-' * (40 - len(divider))}"
|
||||
self.styles[divider] = PromptStyle(
|
||||
f"{divider}", None, None, "do_not_save"
|
||||
# Remove any duplicate entries
|
||||
seen = set()
|
||||
self.all_styles_files = [s for s in all_styles_files if not (s in seen or seen.add(s))]
|
||||
|
||||
for styles_file in self.all_styles_files:
|
||||
if len(all_styles_files) > 1:
|
||||
# add divider when more than styles file
|
||||
# '---------------- STYLES ----------------'
|
||||
divider = f' {styles_file.stem.upper()} '.center(40, '-')
|
||||
self.styles[divider] = PromptStyle(f"{divider}", None, None, "do_not_save")
|
||||
if styles_file.is_file():
|
||||
self.load_from_csv(styles_file)
|
||||
|
||||
def load_from_csv(self, path: str | Path):
|
||||
try:
|
||||
with open(path, "r", encoding="utf-8-sig", newline="") as file:
|
||||
reader = csv.DictReader(file, skipinitialspace=True)
|
||||
for row in reader:
|
||||
# Ignore empty rows or rows starting with a comment
|
||||
if not row or row["name"].startswith("#"):
|
||||
continue
|
||||
# Support loading old CSV format with "name, text"-columns
|
||||
prompt = row["prompt"] if "prompt" in row else row["text"]
|
||||
negative_prompt = row.get("negative_prompt", "")
|
||||
# Add style to database
|
||||
self.styles[row["name"]] = PromptStyle(
|
||||
row["name"], prompt, negative_prompt, str(path)
|
||||
)
|
||||
# Add styles from this CSV file
|
||||
self.load_from_csv(os.path.join(path, file))
|
||||
if len(filelist) == 0:
|
||||
print(f"No styles found in {path} matching {fileglob}")
|
||||
return
|
||||
elif not os.path.exists(self.path):
|
||||
print(f"Style database not found: {self.path}")
|
||||
return
|
||||
else:
|
||||
self.load_from_csv(self.path)
|
||||
|
||||
def load_from_csv(self, path: str):
|
||||
with open(path, "r", encoding="utf-8-sig", newline="") as file:
|
||||
reader = csv.DictReader(file, skipinitialspace=True)
|
||||
for row in reader:
|
||||
# Ignore empty rows or rows starting with a comment
|
||||
if not row or row["name"].startswith("#"):
|
||||
continue
|
||||
# Support loading old CSV format with "name, text"-columns
|
||||
prompt = row["prompt"] if "prompt" in row else row["text"]
|
||||
negative_prompt = row.get("negative_prompt", "")
|
||||
# Add style to database
|
||||
self.styles[row["name"]] = PromptStyle(
|
||||
row["name"], prompt, negative_prompt, path
|
||||
)
|
||||
except Exception:
|
||||
errors.report(f'Error loading styles from {path}: ', exc_info=True)
|
||||
|
||||
def get_style_paths(self) -> set:
|
||||
"""Returns a set of all distinct paths of files that styles are loaded from."""
|
||||
# Update any styles without a path to the default path
|
||||
for style in list(self.styles.values()):
|
||||
if not style.path:
|
||||
self.styles[style.name] = style._replace(path=self.default_path)
|
||||
self.styles[style.name] = style._replace(path=str(self.default_path))
|
||||
|
||||
# Create a list of all distinct paths, including the default path
|
||||
style_paths = set()
|
||||
style_paths.add(self.default_path)
|
||||
style_paths.add(str(self.default_path))
|
||||
for _, style in self.styles.items():
|
||||
if style.path:
|
||||
style_paths.add(style.path)
|
||||
@@ -177,7 +183,6 @@ class StyleDatabase:
|
||||
|
||||
def save_styles(self, path: str = None) -> None:
|
||||
# The path argument is deprecated, but kept for backwards compatibility
|
||||
_ = path
|
||||
|
||||
style_paths = self.get_style_paths()
|
||||
|
||||
|
||||
@@ -150,6 +150,7 @@ class EmbeddingDatabase:
|
||||
return embedding
|
||||
|
||||
def get_expected_shape(self):
|
||||
devices.torch_npu_set_device()
|
||||
vec = shared.sd_model.cond_stage_model.encode_embedding_init_text(",", 1)
|
||||
return vec.shape[1]
|
||||
|
||||
|
||||
+2
-2
@@ -60,10 +60,10 @@ def txt2img_upscale(id_task: str, request: gr.Request, gallery, gallery_index, g
|
||||
assert len(gallery) > 0, 'No image to upscale'
|
||||
assert 0 <= gallery_index < len(gallery), f'Bad image index: {gallery_index}'
|
||||
|
||||
p = txt2img_create_processing(id_task, request, *args)
|
||||
p.enable_hr = True
|
||||
p = txt2img_create_processing(id_task, request, *args, force_enable_hr=True)
|
||||
p.batch_size = 1
|
||||
p.n_iter = 1
|
||||
# txt2img_upscale attribute that signifies this is called by txt2img_upscale
|
||||
p.txt2img_upscale = True
|
||||
|
||||
geninfo = json.loads(generation_info)
|
||||
|
||||
+26
-11
@@ -151,7 +151,18 @@ def connect_clear_prompt(button):
|
||||
)
|
||||
|
||||
|
||||
def update_token_counter(text, steps, *, is_positive=True):
|
||||
def update_token_counter(text, steps, styles, *, is_positive=True):
|
||||
params = script_callbacks.BeforeTokenCounterParams(text, steps, styles, is_positive=is_positive)
|
||||
script_callbacks.before_token_counter_callback(params)
|
||||
text = params.prompt
|
||||
steps = params.steps
|
||||
styles = params.styles
|
||||
is_positive = params.is_positive
|
||||
|
||||
if shared.opts.include_styles_into_token_counters:
|
||||
apply_styles = shared.prompt_styles.apply_styles_to_prompt if is_positive else shared.prompt_styles.apply_negative_styles_to_prompt
|
||||
text = apply_styles(text, styles)
|
||||
|
||||
try:
|
||||
text, _ = extra_networks.parse_prompt(text)
|
||||
|
||||
@@ -173,8 +184,8 @@ def update_token_counter(text, steps, *, is_positive=True):
|
||||
return f"<span class='gr-box gr-text-input'>{token_count}/{max_length}</span>"
|
||||
|
||||
|
||||
def update_negative_prompt_token_counter(text, steps):
|
||||
return update_token_counter(text, steps, is_positive=False)
|
||||
def update_negative_prompt_token_counter(*args):
|
||||
return update_token_counter(*args, is_positive=False)
|
||||
|
||||
|
||||
def setup_progressbar(*args, **kwargs):
|
||||
@@ -266,7 +277,7 @@ def create_ui():
|
||||
|
||||
dummy_component = gr.Label(visible=False)
|
||||
|
||||
extra_tabs = gr.Tabs(elem_id="txt2img_extra_tabs")
|
||||
extra_tabs = gr.Tabs(elem_id="txt2img_extra_tabs", elem_classes=["extra-networks"])
|
||||
extra_tabs.__enter__()
|
||||
|
||||
with gr.Tab("Generation", id="txt2img_generation") as txt2img_generation_tab, ResizeHandleRow(equal_height=False):
|
||||
@@ -485,8 +496,10 @@ def create_ui():
|
||||
height,
|
||||
]
|
||||
|
||||
toprow.token_button.click(fn=wrap_queued_call(update_token_counter), inputs=[toprow.prompt, steps], outputs=[toprow.token_counter])
|
||||
toprow.negative_token_button.click(fn=wrap_queued_call(update_negative_prompt_token_counter), inputs=[toprow.negative_prompt, steps], outputs=[toprow.negative_token_counter])
|
||||
toprow.ui_styles.dropdown.change(fn=wrap_queued_call(update_token_counter), inputs=[toprow.prompt, steps, toprow.ui_styles.dropdown], outputs=[toprow.token_counter])
|
||||
toprow.ui_styles.dropdown.change(fn=wrap_queued_call(update_negative_prompt_token_counter), inputs=[toprow.negative_prompt, steps, toprow.ui_styles.dropdown], outputs=[toprow.negative_token_counter])
|
||||
toprow.token_button.click(fn=wrap_queued_call(update_token_counter), inputs=[toprow.prompt, steps, toprow.ui_styles.dropdown], outputs=[toprow.token_counter])
|
||||
toprow.negative_token_button.click(fn=wrap_queued_call(update_negative_prompt_token_counter), inputs=[toprow.negative_prompt, steps, toprow.ui_styles.dropdown], outputs=[toprow.negative_token_counter])
|
||||
|
||||
extra_networks_ui = ui_extra_networks.create_ui(txt2img_interface, [txt2img_generation_tab], 'txt2img')
|
||||
ui_extra_networks.setup_ui(extra_networks_ui, output_panel.gallery)
|
||||
@@ -499,7 +512,7 @@ def create_ui():
|
||||
with gr.Blocks(analytics_enabled=False) as img2img_interface:
|
||||
toprow = ui_toprow.Toprow(is_img2img=True, is_compact=shared.opts.compact_prompt_box)
|
||||
|
||||
extra_tabs = gr.Tabs(elem_id="img2img_extra_tabs")
|
||||
extra_tabs = gr.Tabs(elem_id="img2img_extra_tabs", elem_classes=["extra-networks"])
|
||||
extra_tabs.__enter__()
|
||||
|
||||
with gr.Tab("Generation", id="img2img_generation") as img2img_generation_tab, ResizeHandleRow(equal_height=False):
|
||||
@@ -824,8 +837,10 @@ def create_ui():
|
||||
**interrogate_args,
|
||||
)
|
||||
|
||||
toprow.token_button.click(fn=update_token_counter, inputs=[toprow.prompt, steps], outputs=[toprow.token_counter])
|
||||
toprow.negative_token_button.click(fn=wrap_queued_call(update_token_counter), inputs=[toprow.negative_prompt, steps], outputs=[toprow.negative_token_counter])
|
||||
toprow.ui_styles.dropdown.change(fn=wrap_queued_call(update_token_counter), inputs=[toprow.prompt, steps, toprow.ui_styles.dropdown], outputs=[toprow.token_counter])
|
||||
toprow.ui_styles.dropdown.change(fn=wrap_queued_call(update_negative_prompt_token_counter), inputs=[toprow.negative_prompt, steps, toprow.ui_styles.dropdown], outputs=[toprow.negative_token_counter])
|
||||
toprow.token_button.click(fn=update_token_counter, inputs=[toprow.prompt, steps, toprow.ui_styles.dropdown], outputs=[toprow.token_counter])
|
||||
toprow.negative_token_button.click(fn=wrap_queued_call(update_negative_prompt_token_counter), inputs=[toprow.negative_prompt, steps, toprow.ui_styles.dropdown], outputs=[toprow.negative_token_counter])
|
||||
|
||||
img2img_paste_fields = [
|
||||
(toprow.prompt, "Prompt"),
|
||||
@@ -863,7 +878,7 @@ def create_ui():
|
||||
ui_postprocessing.create_ui()
|
||||
|
||||
with gr.Blocks(analytics_enabled=False) as pnginfo_interface:
|
||||
with gr.Row(equal_height=False):
|
||||
with ResizeHandleRow(equal_height=False):
|
||||
with gr.Column(variant='panel'):
|
||||
image = gr.Image(elem_id="pnginfo_image", label="Source", source="upload", interactive=True, type="pil")
|
||||
|
||||
@@ -891,7 +906,7 @@ def create_ui():
|
||||
with gr.Row(equal_height=False):
|
||||
gr.HTML(value="<p style='margin-bottom: 0.7em'>See <b><a href=\"https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion\">wiki</a></b> for detailed explanation.</p>")
|
||||
|
||||
with gr.Row(variant="compact", equal_height=False):
|
||||
with ResizeHandleRow(variant="compact", equal_height=False):
|
||||
with gr.Tabs(elem_id="train_tabs"):
|
||||
|
||||
with gr.Tab(label="Create embedding", id="create_embedding"):
|
||||
|
||||
@@ -548,6 +548,7 @@ def create_ui():
|
||||
extensions_disable_all = gr.Radio(label="Disable all extensions", choices=["none", "extra", "all"], value=shared.opts.disable_all_extensions, elem_id="extensions_disable_all")
|
||||
extensions_disabled_list = gr.Text(elem_id="extensions_disabled_list", visible=False, container=False)
|
||||
extensions_update_list = gr.Text(elem_id="extensions_update_list", visible=False, container=False)
|
||||
refresh = gr.Button(value='Refresh', variant="compact")
|
||||
|
||||
html = ""
|
||||
|
||||
@@ -566,7 +567,8 @@ def create_ui():
|
||||
with gr.Row(elem_classes="progress-container"):
|
||||
extensions_table = gr.HTML('Loading...', elem_id="extensions_installed_html")
|
||||
|
||||
ui.load(fn=extension_table, inputs=[], outputs=[extensions_table])
|
||||
ui.load(fn=extension_table, inputs=[], outputs=[extensions_table], show_progress=False)
|
||||
refresh.click(fn=extension_table, inputs=[], outputs=[extensions_table], show_progress=False)
|
||||
|
||||
apply.click(
|
||||
fn=apply_and_restart,
|
||||
|
||||
+409
-155
@@ -2,6 +2,8 @@ import functools
|
||||
import os.path
|
||||
import urllib.parse
|
||||
from pathlib import Path
|
||||
from typing import Optional, Union
|
||||
from dataclasses import dataclass
|
||||
|
||||
from modules import shared, ui_extra_networks_user_metadata, errors, extra_networks, util
|
||||
from modules.images import read_info_from_image, save_image_with_geninfo
|
||||
@@ -11,14 +13,11 @@ import html
|
||||
from fastapi.exceptions import HTTPException
|
||||
|
||||
from modules.infotext_utils import image_from_url_text
|
||||
from modules.ui_components import ToolButton
|
||||
|
||||
extra_pages = []
|
||||
allowed_dirs = set()
|
||||
|
||||
default_allowed_preview_extensions = ["png", "jpg", "jpeg", "webp", "gif"]
|
||||
|
||||
|
||||
@functools.cache
|
||||
def allowed_preview_extensions_with_extra(extra_extensions=None):
|
||||
return set(default_allowed_preview_extensions) | set(extra_extensions or [])
|
||||
@@ -28,6 +27,62 @@ def allowed_preview_extensions():
|
||||
return allowed_preview_extensions_with_extra((shared.opts.samples_format, ))
|
||||
|
||||
|
||||
@dataclass
|
||||
class ExtraNetworksItem:
|
||||
"""Wrapper for dictionaries representing ExtraNetworks items."""
|
||||
item: dict
|
||||
|
||||
|
||||
def get_tree(paths: Union[str, list[str]], items: dict[str, ExtraNetworksItem]) -> dict:
|
||||
"""Recursively builds a directory tree.
|
||||
|
||||
Args:
|
||||
paths: Path or list of paths to directories. These paths are treated as roots from which
|
||||
the tree will be built.
|
||||
items: A dictionary associating filepaths to an ExtraNetworksItem instance.
|
||||
|
||||
Returns:
|
||||
The result directory tree.
|
||||
"""
|
||||
if isinstance(paths, (str,)):
|
||||
paths = [paths]
|
||||
|
||||
def _get_tree(_paths: list[str], _root: str):
|
||||
_res = {}
|
||||
for path in _paths:
|
||||
relpath = os.path.relpath(path, _root)
|
||||
if os.path.isdir(path):
|
||||
dir_items = os.listdir(path)
|
||||
# Ignore empty directories.
|
||||
if not dir_items:
|
||||
continue
|
||||
dir_tree = _get_tree([os.path.join(path, x) for x in dir_items], _root)
|
||||
# We only want to store non-empty folders in the tree.
|
||||
if dir_tree:
|
||||
_res[relpath] = dir_tree
|
||||
else:
|
||||
if path not in items:
|
||||
continue
|
||||
# Add the ExtraNetworksItem to the result.
|
||||
_res[relpath] = items[path]
|
||||
return _res
|
||||
|
||||
res = {}
|
||||
# Handle each root directory separately.
|
||||
# Each root WILL have a key/value at the root of the result dict though
|
||||
# the value can be an empty dict if the directory is empty. We want these
|
||||
# placeholders for empty dirs so we can inform the user later.
|
||||
for path in paths:
|
||||
root = os.path.dirname(path)
|
||||
relpath = os.path.relpath(path, root)
|
||||
# Wrap the path in a list since that is what the `_get_tree` expects.
|
||||
res[relpath] = _get_tree([path], root)
|
||||
if res[relpath]:
|
||||
# We need to pull the inner path out one for these root dirs.
|
||||
res[relpath] = res[relpath][relpath]
|
||||
|
||||
return res
|
||||
|
||||
def register_page(page):
|
||||
"""registers extra networks page for the UI; recommend doing it in on_before_ui() callback for extensions"""
|
||||
|
||||
@@ -79,8 +134,8 @@ def get_single_card(page: str = "", tabname: str = "", name: str = ""):
|
||||
errors.display(e, "creating item for extra network")
|
||||
item = page.items.get(name)
|
||||
|
||||
page.read_user_metadata(item)
|
||||
item_html = page.create_html_for_item(item, tabname)
|
||||
page.read_user_metadata(item, use_cache=False)
|
||||
item_html = page.create_item_html(tabname, item, shared.html("extra-networks-card.html"))
|
||||
|
||||
return JSONResponse({"html": item_html})
|
||||
|
||||
@@ -96,25 +151,31 @@ def quote_js(s):
|
||||
s = s.replace('"', '\\"')
|
||||
return f'"{s}"'
|
||||
|
||||
|
||||
class ExtraNetworksPage:
|
||||
def __init__(self, title):
|
||||
self.title = title
|
||||
self.name = title.lower()
|
||||
self.id_page = self.name.replace(" ", "_")
|
||||
self.card_page = shared.html("extra-networks-card.html")
|
||||
# This is the actual name of the extra networks tab (not txt2img/img2img).
|
||||
self.extra_networks_tabname = self.name.replace(" ", "_")
|
||||
self.allow_prompt = True
|
||||
self.allow_negative_prompt = False
|
||||
self.metadata = {}
|
||||
self.items = {}
|
||||
self.lister = util.MassFileLister()
|
||||
# HTML Templates
|
||||
self.pane_tpl = shared.html("extra-networks-pane.html")
|
||||
self.card_tpl = shared.html("extra-networks-card.html")
|
||||
self.btn_tree_tpl = shared.html("extra-networks-tree-button.html")
|
||||
self.btn_copy_path_tpl = shared.html("extra-networks-copy-path-button.html")
|
||||
self.btn_metadata_tpl = shared.html("extra-networks-metadata-button.html")
|
||||
self.btn_edit_item_tpl = shared.html("extra-networks-edit-item-button.html")
|
||||
|
||||
def refresh(self):
|
||||
pass
|
||||
|
||||
def read_user_metadata(self, item):
|
||||
def read_user_metadata(self, item, use_cache=True):
|
||||
filename = item.get("filename", None)
|
||||
metadata = extra_networks.get_user_metadata(filename, lister=self.lister)
|
||||
metadata = extra_networks.get_user_metadata(filename, lister=self.lister if use_cache else None)
|
||||
|
||||
desc = metadata.get("description", None)
|
||||
if desc is not None:
|
||||
@@ -129,117 +190,69 @@ class ExtraNetworksPage:
|
||||
|
||||
def search_terms_from_path(self, filename, possible_directories=None):
|
||||
abspath = os.path.abspath(filename)
|
||||
|
||||
for parentdir in (possible_directories if possible_directories is not None else self.allowed_directories_for_previews()):
|
||||
parentdir = os.path.abspath(parentdir)
|
||||
parentdir = os.path.dirname(os.path.abspath(parentdir))
|
||||
if abspath.startswith(parentdir):
|
||||
return abspath[len(parentdir):].replace('\\', '/')
|
||||
return os.path.relpath(abspath, parentdir)
|
||||
|
||||
return ""
|
||||
|
||||
def create_html(self, tabname):
|
||||
self.lister.reset()
|
||||
def create_item_html(
|
||||
self,
|
||||
tabname: str,
|
||||
item: dict,
|
||||
template: Optional[str] = None,
|
||||
) -> Union[str, dict]:
|
||||
"""Generates HTML for a single ExtraNetworks Item.
|
||||
|
||||
items_html = ''
|
||||
Args:
|
||||
tabname: The name of the active tab.
|
||||
item: Dictionary containing item information.
|
||||
template: Optional template string to use.
|
||||
|
||||
self.metadata = {}
|
||||
|
||||
subdirs = {}
|
||||
for parentdir in [os.path.abspath(x) for x in self.allowed_directories_for_previews()]:
|
||||
for root, dirs, _ in sorted(os.walk(parentdir, followlinks=True), key=lambda x: shared.natural_sort_key(x[0])):
|
||||
for dirname in sorted(dirs, key=shared.natural_sort_key):
|
||||
x = os.path.join(root, dirname)
|
||||
|
||||
if not os.path.isdir(x):
|
||||
continue
|
||||
|
||||
subdir = os.path.abspath(x)[len(parentdir):].replace("\\", "/")
|
||||
|
||||
if shared.opts.extra_networks_dir_button_function:
|
||||
if not subdir.startswith("/"):
|
||||
subdir = "/" + subdir
|
||||
else:
|
||||
while subdir.startswith("/"):
|
||||
subdir = subdir[1:]
|
||||
|
||||
is_empty = len(os.listdir(x)) == 0
|
||||
if not is_empty and not subdir.endswith("/"):
|
||||
subdir = subdir + "/"
|
||||
|
||||
if ("/." in subdir or subdir.startswith(".")) and not shared.opts.extra_networks_show_hidden_directories:
|
||||
continue
|
||||
|
||||
subdirs[subdir] = 1
|
||||
|
||||
if subdirs:
|
||||
subdirs = {"": 1, **subdirs}
|
||||
|
||||
subdirs_html = "".join([f"""
|
||||
<button class='lg secondary gradio-button custom-button{" search-all" if subdir=="" else ""}' onclick='extraNetworksSearchButton("{tabname}_extra_search", event)'>
|
||||
{html.escape(subdir if subdir!="" else "all")}
|
||||
</button>
|
||||
""" for subdir in subdirs])
|
||||
|
||||
self.items = {x["name"]: x for x in self.list_items()}
|
||||
for item in self.items.values():
|
||||
metadata = item.get("metadata")
|
||||
if metadata:
|
||||
self.metadata[item["name"]] = metadata
|
||||
|
||||
if "user_metadata" not in item:
|
||||
self.read_user_metadata(item)
|
||||
|
||||
items_html += self.create_html_for_item(item, tabname)
|
||||
|
||||
if items_html == '':
|
||||
dirs = "".join([f"<li>{x}</li>" for x in self.allowed_directories_for_previews()])
|
||||
items_html = shared.html("extra-networks-no-cards.html").format(dirs=dirs)
|
||||
|
||||
self_name_id = self.name.replace(" ", "_")
|
||||
|
||||
res = f"""
|
||||
<div id='{tabname}_{self_name_id}_subdirs' class='extra-network-subdirs extra-network-subdirs-cards'>
|
||||
{subdirs_html}
|
||||
</div>
|
||||
<div id='{tabname}_{self_name_id}_cards' class='extra-network-cards'>
|
||||
{items_html}
|
||||
</div>
|
||||
"""
|
||||
|
||||
return res
|
||||
|
||||
def create_item(self, name, index=None):
|
||||
raise NotImplementedError()
|
||||
|
||||
def list_items(self):
|
||||
raise NotImplementedError()
|
||||
|
||||
def allowed_directories_for_previews(self):
|
||||
return []
|
||||
|
||||
def create_html_for_item(self, item, tabname):
|
||||
Returns:
|
||||
If a template is passed: HTML string generated for this item.
|
||||
Can be empty if the item is not meant to be shown.
|
||||
If no template is passed: A dictionary containing the generated item's attributes.
|
||||
"""
|
||||
Create HTML for card item in tab tabname; can return empty string if the item is not meant to be shown.
|
||||
"""
|
||||
|
||||
preview = item.get("preview", None)
|
||||
style_height = f"height: {shared.opts.extra_networks_card_height}px;" if shared.opts.extra_networks_card_height else ''
|
||||
style_width = f"width: {shared.opts.extra_networks_card_width}px;" if shared.opts.extra_networks_card_width else ''
|
||||
style_font_size = f"font-size: {shared.opts.extra_networks_card_text_scale*100}%;"
|
||||
card_style = style_height + style_width + style_font_size
|
||||
background_image = f'<img src="{html.escape(preview)}" class="preview" loading="lazy">' if preview else ''
|
||||
|
||||
onclick = item.get("onclick", None)
|
||||
if onclick is None:
|
||||
if "negative_prompt" in item:
|
||||
onclick = '"' + html.escape(f"""return cardClicked({quote_js(tabname)}, {item["prompt"]}, {item["negative_prompt"]}, {"true" if self.allow_negative_prompt else "false"})""") + '"'
|
||||
else:
|
||||
onclick = '"' + html.escape(f"""return cardClicked({quote_js(tabname)}, {item["prompt"]}, {'""'}, {"true" if self.allow_negative_prompt else "false"})""") + '"'
|
||||
# Don't quote prompt/neg_prompt since they are stored as js strings already.
|
||||
onclick_js_tpl = "cardClicked('{tabname}', {prompt}, {neg_prompt}, {allow_neg});"
|
||||
onclick = onclick_js_tpl.format(
|
||||
**{
|
||||
"tabname": tabname,
|
||||
"prompt": item["prompt"],
|
||||
"neg_prompt": item.get("negative_prompt", "''"),
|
||||
"allow_neg": str(self.allow_negative_prompt).lower(),
|
||||
}
|
||||
)
|
||||
onclick = html.escape(onclick)
|
||||
|
||||
height = f"height: {shared.opts.extra_networks_card_height}px;" if shared.opts.extra_networks_card_height else ''
|
||||
width = f"width: {shared.opts.extra_networks_card_width}px;" if shared.opts.extra_networks_card_width else ''
|
||||
background_image = f'<img src="{html.escape(preview)}" class="preview" loading="lazy">' if preview else ''
|
||||
metadata_button = ""
|
||||
btn_copy_path = self.btn_copy_path_tpl.format(**{"filename": item["filename"]})
|
||||
btn_metadata = ""
|
||||
metadata = item.get("metadata")
|
||||
if metadata:
|
||||
metadata_button = f"<div class='metadata-button card-button' title='Show internal metadata' onclick='extraNetworksRequestMetadata(event, {quote_js(self.name)}, {quote_js(html.escape(item['name']))})'></div>"
|
||||
|
||||
edit_button = f"<div class='edit-button card-button' title='Edit metadata' onclick='extraNetworksEditUserMetadata(event, {quote_js(tabname)}, {quote_js(self.id_page)}, {quote_js(html.escape(item['name']))})'></div>"
|
||||
btn_metadata = self.btn_metadata_tpl.format(
|
||||
**{
|
||||
"extra_networks_tabname": self.extra_networks_tabname,
|
||||
"name": html.escape(item["name"]),
|
||||
}
|
||||
)
|
||||
btn_edit_item = self.btn_edit_item_tpl.format(
|
||||
**{
|
||||
"tabname": tabname,
|
||||
"extra_networks_tabname": self.extra_networks_tabname,
|
||||
"name": html.escape(item["name"]),
|
||||
}
|
||||
)
|
||||
|
||||
local_path = ""
|
||||
filename = item.get("filename", "")
|
||||
@@ -259,26 +272,282 @@ class ExtraNetworksPage:
|
||||
if search_only and shared.opts.extra_networks_hidden_models == "Never":
|
||||
return ""
|
||||
|
||||
sort_keys = " ".join([f'data-sort-{k}="{html.escape(str(v))}"' for k, v in item.get("sort_keys", {}).items()]).strip()
|
||||
sort_keys = " ".join(
|
||||
[
|
||||
f'data-sort-{k}="{html.escape(str(v))}"'
|
||||
for k, v in item.get("sort_keys", {}).items()
|
||||
]
|
||||
).strip()
|
||||
|
||||
search_terms_html = ""
|
||||
search_term_template = "<span class='hidden {class}'>{search_term}</span>"
|
||||
for search_term in item.get("search_terms", []):
|
||||
search_terms_html += search_term_template.format(
|
||||
**{
|
||||
"class": f"search_terms{' search_only' if search_only else ''}",
|
||||
"search_term": search_term,
|
||||
}
|
||||
)
|
||||
|
||||
# Some items here might not be used depending on HTML template used.
|
||||
args = {
|
||||
"background_image": background_image,
|
||||
"style": f"'display: none; {height}{width}; font-size: {shared.opts.extra_networks_card_text_scale*100}%'",
|
||||
"prompt": item.get("prompt", None),
|
||||
"tabname": quote_js(tabname),
|
||||
"local_preview": quote_js(item["local_preview"]),
|
||||
"name": html.escape(item["name"]),
|
||||
"description": (item.get("description") or "" if shared.opts.extra_networks_card_show_desc else ""),
|
||||
"card_clicked": onclick,
|
||||
"save_card_preview": '"' + html.escape(f"""return saveCardPreview(event, {quote_js(tabname)}, {quote_js(item["local_preview"])})""") + '"',
|
||||
"search_term": item.get("search_term", ""),
|
||||
"metadata_button": metadata_button,
|
||||
"edit_button": edit_button,
|
||||
"copy_path_button": btn_copy_path,
|
||||
"description": (item.get("description", "") or "" if shared.opts.extra_networks_card_show_desc else ""),
|
||||
"edit_button": btn_edit_item,
|
||||
"local_preview": quote_js(item["local_preview"]),
|
||||
"metadata_button": btn_metadata,
|
||||
"name": html.escape(item["name"]),
|
||||
"prompt": item.get("prompt", None),
|
||||
"save_card_preview": html.escape(f"return saveCardPreview(event, '{tabname}', '{item['local_preview']}');"),
|
||||
"search_only": " search_only" if search_only else "",
|
||||
"search_terms": search_terms_html,
|
||||
"sort_keys": sort_keys,
|
||||
"style": card_style,
|
||||
"tabname": tabname,
|
||||
"extra_networks_tabname": self.extra_networks_tabname,
|
||||
}
|
||||
|
||||
return self.card_page.format(**args)
|
||||
if template:
|
||||
return template.format(**args)
|
||||
else:
|
||||
return args
|
||||
|
||||
def create_tree_dir_item_html(
|
||||
self,
|
||||
tabname: str,
|
||||
dir_path: str,
|
||||
content: Optional[str] = None,
|
||||
) -> Optional[str]:
|
||||
"""Generates HTML for a directory item in the tree.
|
||||
|
||||
The generated HTML is of the format:
|
||||
```html
|
||||
<li class="tree-list-item tree-list-item--has-subitem">
|
||||
<div class="tree-list-content tree-list-content-dir"></div>
|
||||
<ul class="tree-list tree-list--subgroup">
|
||||
{content}
|
||||
</ul>
|
||||
</li>
|
||||
```
|
||||
|
||||
Args:
|
||||
tabname: The name of the active tab.
|
||||
dir_path: Path to the directory for this item.
|
||||
content: Optional HTML string that will be wrapped by this <ul>.
|
||||
|
||||
Returns:
|
||||
HTML formatted string.
|
||||
"""
|
||||
if not content:
|
||||
return None
|
||||
|
||||
btn = self.btn_tree_tpl.format(
|
||||
**{
|
||||
"search_terms": "",
|
||||
"subclass": "tree-list-content-dir",
|
||||
"tabname": tabname,
|
||||
"extra_networks_tabname": self.extra_networks_tabname,
|
||||
"onclick_extra": "",
|
||||
"data_path": dir_path,
|
||||
"data_hash": "",
|
||||
"action_list_item_action_leading": "<i class='tree-list-item-action-chevron'></i>",
|
||||
"action_list_item_visual_leading": "🗀",
|
||||
"action_list_item_label": os.path.basename(dir_path),
|
||||
"action_list_item_visual_trailing": "",
|
||||
"action_list_item_action_trailing": "",
|
||||
}
|
||||
)
|
||||
ul = f"<ul class='tree-list tree-list--subgroup' hidden>{content}</ul>"
|
||||
return (
|
||||
"<li class='tree-list-item tree-list-item--has-subitem' data-tree-entry-type='dir'>"
|
||||
f"{btn}{ul}"
|
||||
"</li>"
|
||||
)
|
||||
|
||||
def create_tree_file_item_html(self, tabname: str, file_path: str, item: dict) -> str:
|
||||
"""Generates HTML for a file item in the tree.
|
||||
|
||||
The generated HTML is of the format:
|
||||
```html
|
||||
<li class="tree-list-item tree-list-item--subitem">
|
||||
<span data-filterable-item-text hidden></span>
|
||||
<div class="tree-list-content tree-list-content-file"></div>
|
||||
</li>
|
||||
```
|
||||
|
||||
Args:
|
||||
tabname: The name of the active tab.
|
||||
file_path: The path to the file for this item.
|
||||
item: Dictionary containing the item information.
|
||||
|
||||
Returns:
|
||||
HTML formatted string.
|
||||
"""
|
||||
item_html_args = self.create_item_html(tabname, item)
|
||||
action_buttons = "".join(
|
||||
[
|
||||
item_html_args["copy_path_button"],
|
||||
item_html_args["metadata_button"],
|
||||
item_html_args["edit_button"],
|
||||
]
|
||||
)
|
||||
action_buttons = f"<div class=\"button-row\">{action_buttons}</div>"
|
||||
btn = self.btn_tree_tpl.format(
|
||||
**{
|
||||
"search_terms": "",
|
||||
"subclass": "tree-list-content-file",
|
||||
"tabname": tabname,
|
||||
"extra_networks_tabname": self.extra_networks_tabname,
|
||||
"onclick_extra": item_html_args["card_clicked"],
|
||||
"data_path": file_path,
|
||||
"data_hash": item["shorthash"],
|
||||
"action_list_item_action_leading": "<i class='tree-list-item-action-chevron'></i>",
|
||||
"action_list_item_visual_leading": "🗎",
|
||||
"action_list_item_label": item["name"],
|
||||
"action_list_item_visual_trailing": "",
|
||||
"action_list_item_action_trailing": action_buttons,
|
||||
}
|
||||
)
|
||||
return (
|
||||
"<li class='tree-list-item tree-list-item--subitem' data-tree-entry-type='file'>"
|
||||
f"{btn}"
|
||||
"</li>"
|
||||
)
|
||||
|
||||
def create_tree_view_html(self, tabname: str) -> str:
|
||||
"""Generates HTML for displaying folders in a tree view.
|
||||
|
||||
Args:
|
||||
tabname: The name of the active tab.
|
||||
|
||||
Returns:
|
||||
HTML string generated for this tree view.
|
||||
"""
|
||||
res = ""
|
||||
|
||||
# Setup the tree dictionary.
|
||||
roots = self.allowed_directories_for_previews()
|
||||
tree_items = {v["filename"]: ExtraNetworksItem(v) for v in self.items.values()}
|
||||
tree = get_tree([os.path.abspath(x) for x in roots], items=tree_items)
|
||||
|
||||
if not tree:
|
||||
return res
|
||||
|
||||
def _build_tree(data: Optional[dict[str, ExtraNetworksItem]] = None) -> Optional[str]:
|
||||
"""Recursively builds HTML for a tree.
|
||||
|
||||
Args:
|
||||
data: Dictionary representing a directory tree. Can be NoneType.
|
||||
Data keys should be absolute paths from the root and values
|
||||
should be subdirectory trees or an ExtraNetworksItem.
|
||||
|
||||
Returns:
|
||||
If data is not None: HTML string
|
||||
Else: None
|
||||
"""
|
||||
if not data:
|
||||
return None
|
||||
|
||||
# Lists for storing <li> items html for directories and files separately.
|
||||
_dir_li = []
|
||||
_file_li = []
|
||||
|
||||
for k, v in sorted(data.items(), key=lambda x: shared.natural_sort_key(x[0])):
|
||||
if isinstance(v, (ExtraNetworksItem,)):
|
||||
_file_li.append(self.create_tree_file_item_html(tabname, k, v.item))
|
||||
else:
|
||||
_dir_li.append(self.create_tree_dir_item_html(tabname, k, _build_tree(v)))
|
||||
|
||||
# Directories should always be displayed before files so we order them here.
|
||||
return "".join(_dir_li) + "".join(_file_li)
|
||||
|
||||
# Add each root directory to the tree.
|
||||
for k, v in sorted(tree.items(), key=lambda x: shared.natural_sort_key(x[0])):
|
||||
item_html = self.create_tree_dir_item_html(tabname, k, _build_tree(v))
|
||||
# Only add non-empty entries to the tree.
|
||||
if item_html is not None:
|
||||
res += item_html
|
||||
|
||||
return f"<ul class='tree-list tree-list--tree'>{res}</ul>"
|
||||
|
||||
def create_card_view_html(self, tabname: str) -> str:
|
||||
"""Generates HTML for the network Card View section for a tab.
|
||||
|
||||
This HTML goes into the `extra-networks-pane.html` <div> with
|
||||
`id='{tabname}_{extra_networks_tabname}_cards`.
|
||||
|
||||
Args:
|
||||
tabname: The name of the active tab.
|
||||
|
||||
Returns:
|
||||
HTML formatted string.
|
||||
"""
|
||||
res = ""
|
||||
for item in self.items.values():
|
||||
res += self.create_item_html(tabname, item, self.card_tpl)
|
||||
|
||||
if res == "":
|
||||
dirs = "".join([f"<li>{x}</li>" for x in self.allowed_directories_for_previews()])
|
||||
res = shared.html("extra-networks-no-cards.html").format(dirs=dirs)
|
||||
|
||||
return res
|
||||
|
||||
def create_html(self, tabname):
|
||||
"""Generates an HTML string for the current pane.
|
||||
|
||||
The generated HTML uses `extra-networks-pane.html` as a template.
|
||||
|
||||
Args:
|
||||
tabname: The name of the active tab.
|
||||
|
||||
Returns:
|
||||
HTML formatted string.
|
||||
"""
|
||||
self.lister.reset()
|
||||
self.metadata = {}
|
||||
self.items = {x["name"]: x for x in self.list_items()}
|
||||
# Populate the instance metadata for each item.
|
||||
for item in self.items.values():
|
||||
metadata = item.get("metadata")
|
||||
if metadata:
|
||||
self.metadata[item["name"]] = metadata
|
||||
|
||||
if "user_metadata" not in item:
|
||||
self.read_user_metadata(item)
|
||||
|
||||
data_sortdir = shared.opts.extra_networks_card_order
|
||||
data_sortmode = shared.opts.extra_networks_card_order_field.lower().replace("sort", "").replace(" ", "_").rstrip("_").strip()
|
||||
data_sortkey = f"{data_sortmode}-{data_sortdir}-{len(self.items)}"
|
||||
tree_view_btn_extra_class = ""
|
||||
tree_view_div_extra_class = "hidden"
|
||||
if shared.opts.extra_networks_tree_view_default_enabled:
|
||||
tree_view_btn_extra_class = "extra-network-control--enabled"
|
||||
tree_view_div_extra_class = ""
|
||||
|
||||
return self.pane_tpl.format(
|
||||
**{
|
||||
"tabname": tabname,
|
||||
"extra_networks_tabname": self.extra_networks_tabname,
|
||||
"data_sortmode": data_sortmode,
|
||||
"data_sortkey": data_sortkey,
|
||||
"data_sortdir": data_sortdir,
|
||||
"tree_view_btn_extra_class": tree_view_btn_extra_class,
|
||||
"tree_view_div_extra_class": tree_view_div_extra_class,
|
||||
"tree_html": self.create_tree_view_html(tabname),
|
||||
"items_html": self.create_card_view_html(tabname),
|
||||
}
|
||||
)
|
||||
|
||||
def create_item(self, name, index=None):
|
||||
raise NotImplementedError()
|
||||
|
||||
def list_items(self):
|
||||
raise NotImplementedError()
|
||||
|
||||
def allowed_directories_for_previews(self):
|
||||
return []
|
||||
|
||||
def get_sort_keys(self, path):
|
||||
"""
|
||||
@@ -290,7 +559,7 @@ class ExtraNetworksPage:
|
||||
"date_created": int(mtime),
|
||||
"date_modified": int(ctime),
|
||||
"name": pth.name.lower(),
|
||||
"path": str(pth.parent).lower(),
|
||||
"path": str(pth).lower(),
|
||||
}
|
||||
|
||||
def find_preview(self, path):
|
||||
@@ -298,7 +567,7 @@ class ExtraNetworksPage:
|
||||
Find a preview PNG for a given path (without extension) and call link_preview on it.
|
||||
"""
|
||||
|
||||
potential_files = sum([[path + "." + ext, path + ".preview." + ext] for ext in allowed_preview_extensions()], [])
|
||||
potential_files = sum([[f"{path}.{ext}", f"{path}.preview.{ext}"] for ext in allowed_preview_extensions()], [])
|
||||
|
||||
for file in potential_files:
|
||||
if self.lister.exists(file):
|
||||
@@ -371,8 +640,6 @@ def pages_in_preferred_order(pages):
|
||||
|
||||
|
||||
def create_ui(interface: gr.Blocks, unrelated_tabs, tabname):
|
||||
from modules.ui import switch_values_symbol
|
||||
|
||||
ui = ExtraNetworksUi()
|
||||
ui.pages = []
|
||||
ui.pages_contents = []
|
||||
@@ -383,45 +650,41 @@ def create_ui(interface: gr.Blocks, unrelated_tabs, tabname):
|
||||
related_tabs = []
|
||||
|
||||
for page in ui.stored_extra_pages:
|
||||
with gr.Tab(page.title, elem_id=f"{tabname}_{page.id_page}", elem_classes=["extra-page"]) as tab:
|
||||
with gr.Column(elem_id=f"{tabname}_{page.id_page}_prompts", elem_classes=["extra-page-prompts"]):
|
||||
with gr.Tab(page.title, elem_id=f"{tabname}_{page.extra_networks_tabname}", elem_classes=["extra-page"]) as tab:
|
||||
with gr.Column(elem_id=f"{tabname}_{page.extra_networks_tabname}_prompts", elem_classes=["extra-page-prompts"]):
|
||||
pass
|
||||
|
||||
elem_id = f"{tabname}_{page.id_page}_cards_html"
|
||||
elem_id = f"{tabname}_{page.extra_networks_tabname}_cards_html"
|
||||
page_elem = gr.HTML('Loading...', elem_id=elem_id)
|
||||
ui.pages.append(page_elem)
|
||||
|
||||
page_elem.change(fn=lambda: None, _js='function(){applyExtraNetworkFilter(' + quote_js(tabname) + '); return []}', inputs=[], outputs=[])
|
||||
|
||||
editor = page.create_user_metadata_editor(ui, tabname)
|
||||
editor.create_ui()
|
||||
ui.user_metadata_editors.append(editor)
|
||||
|
||||
related_tabs.append(tab)
|
||||
|
||||
edit_search = gr.Textbox('', show_label=False, elem_id=tabname+"_extra_search", elem_classes="search", placeholder="Search...", visible=False, interactive=True)
|
||||
dropdown_sort = gr.Dropdown(choices=['Path', 'Name', 'Date Created', 'Date Modified', ], value=shared.opts.extra_networks_card_order_field, elem_id=tabname+"_extra_sort", elem_classes="sort", multiselect=False, visible=False, show_label=False, interactive=True, label=tabname+"_extra_sort_order")
|
||||
button_sortorder = ToolButton(switch_values_symbol, elem_id=tabname+"_extra_sortorder", elem_classes=["sortorder"] + ([] if shared.opts.extra_networks_card_order == "Ascending" else ["sortReverse"]), visible=False, tooltip="Invert sort order")
|
||||
button_refresh = gr.Button('Refresh', elem_id=tabname+"_extra_refresh", visible=False)
|
||||
checkbox_show_dirs = gr.Checkbox(True, label='Show dirs', elem_id=tabname+"_extra_show_dirs", elem_classes="show-dirs", visible=False)
|
||||
|
||||
ui.button_save_preview = gr.Button('Save preview', elem_id=tabname+"_save_preview", visible=False)
|
||||
ui.preview_target_filename = gr.Textbox('Preview save filename', elem_id=tabname+"_preview_filename", visible=False)
|
||||
|
||||
tab_controls = [edit_search, dropdown_sort, button_sortorder, button_refresh, checkbox_show_dirs]
|
||||
ui.button_save_preview = gr.Button('Save preview', elem_id=f"{tabname}_save_preview", visible=False)
|
||||
ui.preview_target_filename = gr.Textbox('Preview save filename', elem_id=f"{tabname}_preview_filename", visible=False)
|
||||
|
||||
for tab in unrelated_tabs:
|
||||
tab.select(fn=lambda: [gr.update(visible=False) for _ in tab_controls], _js='function(){ extraNetworksUrelatedTabSelected("' + tabname + '"); }', inputs=[], outputs=tab_controls, show_progress=False)
|
||||
tab.select(fn=None, _js=f"function(){{extraNetworksUnrelatedTabSelected('{tabname}');}}", inputs=[], outputs=[], show_progress=False)
|
||||
|
||||
for page, tab in zip(ui.stored_extra_pages, related_tabs):
|
||||
allow_prompt = "true" if page.allow_prompt else "false"
|
||||
allow_negative_prompt = "true" if page.allow_negative_prompt else "false"
|
||||
jscode = (
|
||||
"function(){{"
|
||||
f"extraNetworksTabSelected('{tabname}', '{tabname}_{page.extra_networks_tabname}_prompts', {str(page.allow_prompt).lower()}, {str(page.allow_negative_prompt).lower()}, '{tabname}_{page.extra_networks_tabname}');"
|
||||
f"applyExtraNetworkFilter('{tabname}_{page.extra_networks_tabname}');"
|
||||
"}}"
|
||||
)
|
||||
tab.select(fn=None, _js=jscode, inputs=[], outputs=[], show_progress=False)
|
||||
|
||||
jscode = 'extraNetworksTabSelected("' + tabname + '", "' + f"{tabname}_{page.id_page}_prompts" + '", ' + allow_prompt + ', ' + allow_negative_prompt + ');'
|
||||
def refresh():
|
||||
for pg in ui.stored_extra_pages:
|
||||
pg.refresh()
|
||||
create_html()
|
||||
return ui.pages_contents
|
||||
|
||||
tab.select(fn=lambda: [gr.update(visible=True) for _ in tab_controls], _js='function(){ ' + jscode + ' }', inputs=[], outputs=tab_controls, show_progress=False)
|
||||
|
||||
dropdown_sort.change(fn=lambda: None, _js="function(){ applyExtraNetworkSort('" + tabname + "'); }")
|
||||
button_refresh = gr.Button("Refresh", elem_id=f"{tabname}_{page.extra_networks_tabname}_extra_refresh_internal", visible=False)
|
||||
button_refresh.click(fn=refresh, inputs=[], outputs=ui.pages).then(fn=lambda: None, _js="function(){ " + f"applyExtraNetworkFilter('{tabname}_{page.extra_networks_tabname}');" + " }")
|
||||
|
||||
def create_html():
|
||||
ui.pages_contents = [pg.create_html(ui.tabname) for pg in ui.stored_extra_pages]
|
||||
@@ -431,14 +694,7 @@ def create_ui(interface: gr.Blocks, unrelated_tabs, tabname):
|
||||
create_html()
|
||||
return ui.pages_contents
|
||||
|
||||
def refresh():
|
||||
for pg in ui.stored_extra_pages:
|
||||
pg.refresh()
|
||||
create_html()
|
||||
return ui.pages_contents
|
||||
|
||||
interface.load(fn=pages_html, inputs=[], outputs=ui.pages)
|
||||
button_refresh.click(fn=refresh, inputs=[], outputs=ui.pages)
|
||||
|
||||
return ui
|
||||
|
||||
@@ -487,5 +743,3 @@ def setup_ui(ui, gallery):
|
||||
|
||||
for editor in ui.user_metadata_editors:
|
||||
editor.setup_ui(gallery)
|
||||
|
||||
|
||||
|
||||
@@ -2,7 +2,6 @@ import html
|
||||
import os
|
||||
|
||||
from modules import shared, ui_extra_networks, sd_models
|
||||
from modules.ui_extra_networks import quote_js
|
||||
from modules.ui_extra_networks_checkpoints_user_metadata import CheckpointUserMetadataEditor
|
||||
|
||||
|
||||
@@ -21,14 +20,17 @@ class ExtraNetworksPageCheckpoints(ui_extra_networks.ExtraNetworksPage):
|
||||
return
|
||||
|
||||
path, ext = os.path.splitext(checkpoint.filename)
|
||||
search_terms = [self.search_terms_from_path(checkpoint.filename)]
|
||||
if checkpoint.sha256:
|
||||
search_terms.append(checkpoint.sha256)
|
||||
return {
|
||||
"name": checkpoint.name_for_extra,
|
||||
"filename": checkpoint.filename,
|
||||
"shorthash": checkpoint.shorthash,
|
||||
"preview": self.find_preview(path),
|
||||
"description": self.find_description(path),
|
||||
"search_term": self.search_terms_from_path(checkpoint.filename) + " " + (checkpoint.sha256 or ""),
|
||||
"onclick": '"' + html.escape(f"""return selectCheckpoint({quote_js(name)})""") + '"',
|
||||
"search_terms": search_terms,
|
||||
"onclick": html.escape(f"return selectCheckpoint({ui_extra_networks.quote_js(name)})"),
|
||||
"local_preview": f"{path}.{shared.opts.samples_format}",
|
||||
"metadata": checkpoint.metadata,
|
||||
"sort_keys": {'default': index, **self.get_sort_keys(checkpoint.filename)},
|
||||
|
||||
@@ -20,14 +20,16 @@ class ExtraNetworksPageHypernetworks(ui_extra_networks.ExtraNetworksPage):
|
||||
path, ext = os.path.splitext(full_path)
|
||||
sha256 = sha256_from_cache(full_path, f'hypernet/{name}')
|
||||
shorthash = sha256[0:10] if sha256 else None
|
||||
|
||||
search_terms = [self.search_terms_from_path(path)]
|
||||
if sha256:
|
||||
search_terms.append(sha256)
|
||||
return {
|
||||
"name": name,
|
||||
"filename": full_path,
|
||||
"shorthash": shorthash,
|
||||
"preview": self.find_preview(path),
|
||||
"description": self.find_description(path),
|
||||
"search_term": self.search_terms_from_path(path) + " " + (sha256 or ""),
|
||||
"search_terms": search_terms,
|
||||
"prompt": quote_js(f"<hypernet:{name}:") + " + opts.extra_networks_default_multiplier + " + quote_js(">"),
|
||||
"local_preview": f"{path}.preview.{shared.opts.samples_format}",
|
||||
"sort_keys": {'default': index, **self.get_sort_keys(path + ext)},
|
||||
|
||||
@@ -18,13 +18,16 @@ class ExtraNetworksPageTextualInversion(ui_extra_networks.ExtraNetworksPage):
|
||||
return
|
||||
|
||||
path, ext = os.path.splitext(embedding.filename)
|
||||
search_terms = [self.search_terms_from_path(embedding.filename)]
|
||||
if embedding.hash:
|
||||
search_terms.append(embedding.hash)
|
||||
return {
|
||||
"name": name,
|
||||
"filename": embedding.filename,
|
||||
"shorthash": embedding.shorthash,
|
||||
"preview": self.find_preview(path),
|
||||
"description": self.find_description(path),
|
||||
"search_term": self.search_terms_from_path(embedding.filename) + " " + (embedding.hash or ""),
|
||||
"search_terms": search_terms,
|
||||
"prompt": quote_js(embedding.name),
|
||||
"local_preview": f"{path}.preview.{shared.opts.samples_format}",
|
||||
"sort_keys": {'default': index, **self.get_sort_keys(embedding.filename)},
|
||||
|
||||
@@ -14,7 +14,7 @@ class UserMetadataEditor:
|
||||
self.ui = ui
|
||||
self.tabname = tabname
|
||||
self.page = page
|
||||
self.id_part = f"{self.tabname}_{self.page.id_page}_edit_user_metadata"
|
||||
self.id_part = f"{self.tabname}_{self.page.extra_networks_tabname}_edit_user_metadata"
|
||||
|
||||
self.box = None
|
||||
|
||||
|
||||
@@ -1,13 +1,14 @@
|
||||
import gradio as gr
|
||||
from modules import scripts, shared, ui_common, postprocessing, call_queue, ui_toprow
|
||||
import modules.infotext_utils as parameters_copypaste
|
||||
from modules.ui_components import ResizeHandleRow
|
||||
|
||||
|
||||
def create_ui():
|
||||
dummy_component = gr.Label(visible=False)
|
||||
tab_index = gr.Number(value=0, visible=False)
|
||||
|
||||
with gr.Row(equal_height=False, variant='compact'):
|
||||
with ResizeHandleRow(equal_height=False, variant='compact'):
|
||||
with gr.Column(variant='compact'):
|
||||
with gr.Tabs(elem_id="mode_extras"):
|
||||
with gr.TabItem('Single Image', id="single_image", elem_id="extras_single_tab") as tab_single:
|
||||
|
||||
@@ -22,9 +22,12 @@ def save_style(name, prompt, negative_prompt):
|
||||
if not name:
|
||||
return gr.update(visible=False)
|
||||
|
||||
style = styles.PromptStyle(name, prompt, negative_prompt)
|
||||
existing_style = shared.prompt_styles.styles.get(name)
|
||||
path = existing_style.path if existing_style is not None else None
|
||||
|
||||
style = styles.PromptStyle(name, prompt, negative_prompt, path)
|
||||
shared.prompt_styles.styles[style.name] = style
|
||||
shared.prompt_styles.save_styles(shared.styles_filename)
|
||||
shared.prompt_styles.save_styles()
|
||||
|
||||
return gr.update(visible=True)
|
||||
|
||||
@@ -34,7 +37,7 @@ def delete_style(name):
|
||||
return
|
||||
|
||||
shared.prompt_styles.styles.pop(name, None)
|
||||
shared.prompt_styles.save_styles(shared.styles_filename)
|
||||
shared.prompt_styles.save_styles()
|
||||
|
||||
return '', '', ''
|
||||
|
||||
|
||||
@@ -35,12 +35,7 @@ def save_pil_to_file(self, pil_image, dir=None, format="png"):
|
||||
already_saved_as = getattr(pil_image, 'already_saved_as', None)
|
||||
if already_saved_as and os.path.isfile(already_saved_as):
|
||||
register_tmp_file(shared.demo, already_saved_as)
|
||||
filename = already_saved_as
|
||||
|
||||
if not shared.opts.save_images_add_number:
|
||||
filename += f'?{os.path.getmtime(already_saved_as)}'
|
||||
|
||||
return filename
|
||||
return f'{already_saved_as}?{os.path.getmtime(already_saved_as)}'
|
||||
|
||||
if shared.opts.temp_dir != "":
|
||||
dir = shared.opts.temp_dir
|
||||
|
||||
+10
-16
@@ -17,6 +17,7 @@ class Toprow:
|
||||
button_deepbooru = None
|
||||
|
||||
interrupt = None
|
||||
interrupting = None
|
||||
skip = None
|
||||
submit = None
|
||||
|
||||
@@ -96,15 +97,10 @@ class Toprow:
|
||||
with gr.Row(elem_id=f"{self.id_part}_generate_box", elem_classes=["generate-box"] + (["generate-box-compact"] if self.is_compact else []), render=not self.is_compact) as submit_box:
|
||||
self.submit_box = submit_box
|
||||
|
||||
self.interrupt = gr.Button('Interrupt', elem_id=f"{self.id_part}_interrupt", elem_classes="generate-box-interrupt")
|
||||
self.skip = gr.Button('Skip', elem_id=f"{self.id_part}_skip", elem_classes="generate-box-skip")
|
||||
self.submit = gr.Button('Generate', elem_id=f"{self.id_part}_generate", variant='primary')
|
||||
|
||||
self.skip.click(
|
||||
fn=lambda: shared.state.skip(),
|
||||
inputs=[],
|
||||
outputs=[],
|
||||
)
|
||||
self.interrupt = gr.Button('Interrupt', elem_id=f"{self.id_part}_interrupt", elem_classes="generate-box-interrupt", tooltip="End generation immediately or after completing current batch")
|
||||
self.skip = gr.Button('Skip', elem_id=f"{self.id_part}_skip", elem_classes="generate-box-skip", tooltip="Stop generation of current batch and continues onto next batch")
|
||||
self.interrupting = gr.Button('Interrupting...', elem_id=f"{self.id_part}_interrupting", elem_classes="generate-box-interrupting", tooltip="Interrupting generation...")
|
||||
self.submit = gr.Button('Generate', elem_id=f"{self.id_part}_generate", variant='primary', tooltip="Right click generate forever menu")
|
||||
|
||||
def interrupt_function():
|
||||
if not shared.state.stopping_generation and shared.state.job_count > 1 and shared.opts.interrupt_after_current:
|
||||
@@ -113,11 +109,9 @@ class Toprow:
|
||||
else:
|
||||
shared.state.interrupt()
|
||||
|
||||
self.interrupt.click(
|
||||
fn=interrupt_function,
|
||||
inputs=[],
|
||||
outputs=[],
|
||||
)
|
||||
self.skip.click(fn=shared.state.skip)
|
||||
self.interrupt.click(fn=interrupt_function, _js='function(){ showSubmitInterruptingPlaceholder("' + self.id_part + '"); }')
|
||||
self.interrupting.click(fn=interrupt_function)
|
||||
|
||||
def create_tools_row(self):
|
||||
with gr.Row(elem_id=f"{self.id_part}_tools"):
|
||||
@@ -133,9 +127,9 @@ class Toprow:
|
||||
|
||||
self.restore_progress_button = ToolButton(value=restore_progress_symbol, elem_id=f"{self.id_part}_restore_progress", visible=False, tooltip="Restore progress")
|
||||
|
||||
self.token_counter = gr.HTML(value="<span>0/75</span>", elem_id=f"{self.id_part}_token_counter", elem_classes=["token-counter"])
|
||||
self.token_counter = gr.HTML(value="<span>0/75</span>", elem_id=f"{self.id_part}_token_counter", elem_classes=["token-counter"], visible=False)
|
||||
self.token_button = gr.Button(visible=False, elem_id=f"{self.id_part}_token_button")
|
||||
self.negative_token_counter = gr.HTML(value="<span>0/75</span>", elem_id=f"{self.id_part}_negative_token_counter", elem_classes=["token-counter"])
|
||||
self.negative_token_counter = gr.HTML(value="<span>0/75</span>", elem_id=f"{self.id_part}_negative_token_counter", elem_classes=["token-counter"], visible=False)
|
||||
self.negative_token_button = gr.Button(visible=False, elem_id=f"{self.id_part}_negative_token_button")
|
||||
|
||||
self.clear_prompt_button.click(
|
||||
|
||||
@@ -6,7 +6,7 @@ import torch
|
||||
import tqdm
|
||||
from PIL import Image
|
||||
|
||||
from modules import images, shared, torch_utils
|
||||
from modules import devices, images, shared, torch_utils
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -44,7 +44,8 @@ def upscale_pil_patch(model, img: Image.Image) -> Image.Image:
|
||||
with torch.no_grad():
|
||||
tensor = pil_image_to_torch_bgr(img).unsqueeze(0) # add batch dimension
|
||||
tensor = tensor.to(device=param.device, dtype=param.dtype)
|
||||
return torch_bgr_to_pil_image(model(tensor))
|
||||
with devices.without_autocast():
|
||||
return torch_bgr_to_pil_image(model(tensor))
|
||||
|
||||
|
||||
def upscale_with_model(
|
||||
|
||||
+1
-1
@@ -42,7 +42,7 @@ def walk_files(path, allowed_extensions=None):
|
||||
for filename in sorted(files, key=natural_sort_key):
|
||||
if allowed_extensions is not None:
|
||||
_, ext = os.path.splitext(filename)
|
||||
if ext not in allowed_extensions:
|
||||
if ext.lower() not in allowed_extensions:
|
||||
continue
|
||||
|
||||
if not shared.opts.list_hidden_files and ("/." in root or "\\." in root):
|
||||
|
||||
@@ -0,0 +1,4 @@
|
||||
cloudpickle
|
||||
decorator
|
||||
synr==0.5.0
|
||||
tornado
|
||||
@@ -19,7 +19,7 @@ piexif==1.1.3
|
||||
psutil==5.9.5
|
||||
pytorch_lightning==1.9.4
|
||||
resize-right==0.0.2
|
||||
safetensors==0.3.1
|
||||
safetensors==0.4.2
|
||||
scikit-image==0.21.0
|
||||
spandrel==0.1.6
|
||||
tomesd==0.1.3
|
||||
|
||||
@@ -167,8 +167,10 @@ document.addEventListener('keydown', function(e) {
|
||||
const lightboxModal = document.querySelector('#lightboxModal');
|
||||
if (!globalPopup || globalPopup.style.display === 'none') {
|
||||
if (document.activeElement === lightboxModal) return;
|
||||
interruptButton.click();
|
||||
e.preventDefault();
|
||||
if (interruptButton.style.display !== 'none') {
|
||||
interruptButton.click();
|
||||
e.preventDefault();
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
@@ -554,6 +554,8 @@ class Script(scripts.Script):
|
||||
valslist_ext = []
|
||||
|
||||
for val in valslist:
|
||||
if val.strip() == '':
|
||||
continue
|
||||
m = re_range.fullmatch(val)
|
||||
mc = re_range_count.fullmatch(val)
|
||||
if m is not None:
|
||||
@@ -576,6 +578,8 @@ class Script(scripts.Script):
|
||||
valslist_ext = []
|
||||
|
||||
for val in valslist:
|
||||
if val.strip() == '':
|
||||
continue
|
||||
m = re_range_float.fullmatch(val)
|
||||
mc = re_range_count_float.fullmatch(val)
|
||||
if m is not None:
|
||||
|
||||
@@ -28,7 +28,7 @@ div.gradio-container{
|
||||
}
|
||||
|
||||
.hidden{
|
||||
display: none;
|
||||
display: none !important;
|
||||
}
|
||||
|
||||
.compact{
|
||||
@@ -222,6 +222,10 @@ input[type="checkbox"].input-accordion-checkbox{
|
||||
top: -0.75em;
|
||||
}
|
||||
|
||||
.block.token-counter-visible{
|
||||
display: block !important;
|
||||
}
|
||||
|
||||
.block.token-counter span{
|
||||
background: var(--input-background-fill) !important;
|
||||
box-shadow: 0 0 0.0 0.3em rgba(192,192,192,0.15), inset 0 0 0.6em rgba(192,192,192,0.075);
|
||||
@@ -331,17 +335,17 @@ input[type="checkbox"].input-accordion-checkbox{
|
||||
.generate-box{
|
||||
position: relative;
|
||||
}
|
||||
.gradio-button.generate-box-skip, .gradio-button.generate-box-interrupt{
|
||||
.gradio-button.generate-box-skip, .gradio-button.generate-box-interrupt, .gradio-button.generate-box-interrupting{
|
||||
position: absolute;
|
||||
width: 50%;
|
||||
height: 100%;
|
||||
display: none;
|
||||
background: #b4c0cc;
|
||||
}
|
||||
.gradio-button.generate-box-skip:hover, .gradio-button.generate-box-interrupt:hover{
|
||||
.gradio-button.generate-box-skip:hover, .gradio-button.generate-box-interrupt:hover, .gradio-button.generate-box-interrupting:hover{
|
||||
background: #c2cfdb;
|
||||
}
|
||||
.gradio-button.generate-box-interrupt{
|
||||
.gradio-button.generate-box-interrupt, .gradio-button.generate-box-interrupting{
|
||||
left: 0;
|
||||
border-radius: 0.5rem 0 0 0.5rem;
|
||||
}
|
||||
@@ -846,6 +850,20 @@ table.popup-table .link{
|
||||
display: inline-block;
|
||||
}
|
||||
|
||||
/* extensions tab table row hover highlight */
|
||||
|
||||
#extensions tr:hover td,
|
||||
#config_state_extensions tr:hover td,
|
||||
#available_extensions tr:hover td {
|
||||
background: rgba(0, 0, 0, 0.15);
|
||||
}
|
||||
|
||||
.dark #extensions tr:hover td ,
|
||||
.dark #config_state_extensions tr:hover td ,
|
||||
.dark #available_extensions tr:hover td {
|
||||
background: rgba(255, 255, 255, 0.15);
|
||||
}
|
||||
|
||||
/* replace original footer with ours */
|
||||
|
||||
footer {
|
||||
@@ -879,31 +897,21 @@ footer {
|
||||
margin-bottom: 1em;
|
||||
}
|
||||
|
||||
.extra-network-cards{
|
||||
height: calc(100vh - 24rem);
|
||||
overflow: clip scroll;
|
||||
resize: vertical;
|
||||
min-height: 52rem;
|
||||
.extra-networks > div.tab-nav{
|
||||
min-height: 2.7rem;
|
||||
}
|
||||
|
||||
.extra-networks > div.tab-nav{
|
||||
min-height: 3.4rem;
|
||||
.extra-networks-controls-div{
|
||||
align-self: center;
|
||||
margin-left: auto;
|
||||
}
|
||||
|
||||
.extra-networks > div > [id *= '_extra_']{
|
||||
margin: 0.3em;
|
||||
}
|
||||
|
||||
.extra-network-subdirs{
|
||||
padding: 0.2em 0.35em;
|
||||
}
|
||||
|
||||
.extra-network-subdirs button{
|
||||
margin: 0 0.15em;
|
||||
}
|
||||
.extra-networks .tab-nav .search,
|
||||
.extra-networks .tab-nav .sort,
|
||||
.extra-networks .tab-nav .show-dirs
|
||||
.extra-networks .tab-nav .sort
|
||||
{
|
||||
margin: 0.3em;
|
||||
align-self: center;
|
||||
@@ -924,53 +932,69 @@ footer {
|
||||
width: auto;
|
||||
}
|
||||
|
||||
.extra-network-cards .nocards{
|
||||
.extra-network-pane .nocards{
|
||||
margin: 1.25em 0.5em 0.5em 0.5em;
|
||||
}
|
||||
|
||||
.extra-network-cards .nocards h1{
|
||||
.extra-network-pane .nocards h1{
|
||||
font-size: 1.5em;
|
||||
margin-bottom: 1em;
|
||||
}
|
||||
|
||||
.extra-network-cards .nocards li{
|
||||
.extra-network-pane .nocards li{
|
||||
margin-left: 0.5em;
|
||||
}
|
||||
|
||||
.extra-network-pane .card .button-row{
|
||||
display: inline-flex;
|
||||
visibility: hidden;
|
||||
color: white;
|
||||
}
|
||||
|
||||
.extra-network-cards .card .button-row{
|
||||
display: none;
|
||||
.extra-network-pane .card .button-row {
|
||||
position: absolute;
|
||||
color: white;
|
||||
right: 0;
|
||||
z-index: 1
|
||||
}
|
||||
.extra-network-cards .card:hover .button-row{
|
||||
display: flex;
|
||||
z-index: 1;
|
||||
}
|
||||
|
||||
.extra-network-cards .card .card-button{
|
||||
.extra-network-pane .card:hover .button-row{
|
||||
visibility: visible;
|
||||
}
|
||||
|
||||
.extra-network-pane .card-button{
|
||||
color: white;
|
||||
}
|
||||
|
||||
.extra-network-cards .card .metadata-button:before{
|
||||
.extra-network-pane .copy-path-button::before {
|
||||
content: "⎘";
|
||||
}
|
||||
|
||||
.extra-network-pane .metadata-button::before{
|
||||
content: "🛈";
|
||||
}
|
||||
|
||||
.extra-network-cards .card .edit-button:before{
|
||||
.extra-network-pane .edit-button::before{
|
||||
content: "🛠";
|
||||
}
|
||||
|
||||
.extra-network-cards .card .card-button {
|
||||
text-shadow: 2px 2px 3px black;
|
||||
padding: 0.25em 0.1em;
|
||||
font-size: 200%;
|
||||
.extra-network-pane .card-button {
|
||||
width: 1.5em;
|
||||
text-shadow: 2px 2px 3px black;
|
||||
color: white;
|
||||
padding: 0.25em 0.1em;
|
||||
}
|
||||
.extra-network-cards .card .card-button:hover{
|
||||
|
||||
.extra-network-pane .card-button:hover{
|
||||
color: red;
|
||||
}
|
||||
|
||||
.extra-network-pane .card .card-button {
|
||||
font-size: 2rem;
|
||||
}
|
||||
|
||||
.extra-network-pane .card-minimal .card-button {
|
||||
font-size: 1rem;
|
||||
}
|
||||
|
||||
.standalone-card-preview.card .preview{
|
||||
position: absolute;
|
||||
@@ -979,7 +1003,7 @@ footer {
|
||||
height:100%;
|
||||
}
|
||||
|
||||
.extra-network-cards .card, .standalone-card-preview.card{
|
||||
.extra-network-pane .card, .standalone-card-preview.card{
|
||||
display: inline-block;
|
||||
margin: 0.5rem;
|
||||
width: 16rem;
|
||||
@@ -996,15 +1020,15 @@ footer {
|
||||
background-image: url('./file=html/card-no-preview.png')
|
||||
}
|
||||
|
||||
.extra-network-cards .card:hover{
|
||||
.extra-network-pane .card:hover{
|
||||
box-shadow: 0 0 2px 0.3em rgba(0, 128, 255, 0.35);
|
||||
}
|
||||
|
||||
.extra-network-cards .card .actions .additional{
|
||||
.extra-network-pane .card .actions .additional{
|
||||
display: none;
|
||||
}
|
||||
|
||||
.extra-network-cards .card .actions{
|
||||
.extra-network-pane .card .actions{
|
||||
position: absolute;
|
||||
bottom: 0;
|
||||
left: 0;
|
||||
@@ -1015,45 +1039,45 @@ footer {
|
||||
text-shadow: 0 0 0.2em black;
|
||||
}
|
||||
|
||||
.extra-network-cards .card .actions *{
|
||||
.extra-network-pane .card .actions *{
|
||||
color: white;
|
||||
}
|
||||
|
||||
.extra-network-cards .card .actions .name{
|
||||
.extra-network-pane .card .actions .name{
|
||||
font-size: 1.7em;
|
||||
font-weight: bold;
|
||||
line-break: anywhere;
|
||||
}
|
||||
|
||||
.extra-network-cards .card .actions .description {
|
||||
.extra-network-pane .card .actions .description {
|
||||
display: block;
|
||||
max-height: 3em;
|
||||
white-space: pre-wrap;
|
||||
line-height: 1.1;
|
||||
}
|
||||
|
||||
.extra-network-cards .card .actions .description:hover {
|
||||
.extra-network-pane .card .actions .description:hover {
|
||||
max-height: none;
|
||||
}
|
||||
|
||||
.extra-network-cards .card .actions:hover .additional{
|
||||
.extra-network-pane .card .actions:hover .additional{
|
||||
display: block;
|
||||
}
|
||||
|
||||
.extra-network-cards .card ul{
|
||||
.extra-network-pane .card ul{
|
||||
margin: 0.25em 0 0.75em 0.25em;
|
||||
cursor: unset;
|
||||
}
|
||||
|
||||
.extra-network-cards .card ul a{
|
||||
.extra-network-pane .card ul a{
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
.extra-network-cards .card ul a:hover{
|
||||
.extra-network-pane .card ul a:hover{
|
||||
color: red;
|
||||
}
|
||||
|
||||
.extra-network-cards .card .preview{
|
||||
.extra-network-pane .card .preview{
|
||||
position: absolute;
|
||||
object-fit: cover;
|
||||
width: 100%;
|
||||
@@ -1096,9 +1120,6 @@ div.block.gradio-box.edit-user-metadata {
|
||||
margin-top: 1.5em;
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
div.block.gradio-box.popup-dialog, .popup-dialog {
|
||||
width: 56em;
|
||||
background: var(--body-background-fill);
|
||||
@@ -1173,3 +1194,430 @@ body.resizing .resize-handle {
|
||||
left: 7.5px;
|
||||
border-left: 1px dashed var(--border-color-primary);
|
||||
}
|
||||
|
||||
/* ========================= */
|
||||
.extra-network-pane {
|
||||
display: flex;
|
||||
height: calc(100vh - 24rem);
|
||||
resize: vertical;
|
||||
min-height: 52rem;
|
||||
flex-direction: column;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.extra-network-pane .extra-network-pane-content {
|
||||
display: flex;
|
||||
flex: 1;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.extra-network-pane .extra-network-tree {
|
||||
flex: 1;
|
||||
font-size: 1rem;
|
||||
border: 1px solid var(--block-border-color);
|
||||
overflow: clip auto !important;
|
||||
}
|
||||
|
||||
.extra-network-pane .extra-network-cards {
|
||||
flex: 3;
|
||||
overflow: clip auto !important;
|
||||
border: 1px solid var(--block-border-color);
|
||||
}
|
||||
|
||||
.extra-network-pane .extra-network-tree .tree-list {
|
||||
flex: 1;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
padding: 0;
|
||||
width: 100%;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
|
||||
.extra-network-pane .extra-network-cards::-webkit-scrollbar,
|
||||
.extra-network-pane .extra-network-tree::-webkit-scrollbar {
|
||||
background-color: transparent;
|
||||
width: 16px;
|
||||
}
|
||||
|
||||
.extra-network-pane .extra-network-cards::-webkit-scrollbar-track,
|
||||
.extra-network-pane .extra-network-tree::-webkit-scrollbar-track {
|
||||
background-color: transparent;
|
||||
background-clip: content-box;
|
||||
}
|
||||
|
||||
.extra-network-pane .extra-network-cards::-webkit-scrollbar-thumb,
|
||||
.extra-network-pane .extra-network-tree::-webkit-scrollbar-thumb {
|
||||
background-color: var(--border-color-primary);
|
||||
border-radius: 16px;
|
||||
border: 4px solid var(--background-fill-primary);
|
||||
}
|
||||
|
||||
.extra-network-pane .extra-network-cards::-webkit-scrollbar-button,
|
||||
.extra-network-pane .extra-network-tree::-webkit-scrollbar-button {
|
||||
display: none;
|
||||
}
|
||||
|
||||
.extra-network-control {
|
||||
position: relative;
|
||||
display: grid;
|
||||
width: 100%;
|
||||
padding: 0 !important;
|
||||
margin-top: 0 !important;
|
||||
margin-bottom: 0 !important;
|
||||
font-size: 1rem;
|
||||
text-align: left;
|
||||
user-select: none;
|
||||
background-color: transparent;
|
||||
border: none;
|
||||
transition: background 33.333ms linear;
|
||||
grid-template-rows: min-content;
|
||||
grid-template-columns: minmax(0, auto) repeat(4, min-content);
|
||||
grid-gap: 0.1rem;
|
||||
align-items: start;
|
||||
}
|
||||
|
||||
.extra-network-tree .tree-list--tree {}
|
||||
|
||||
/* Remove auto indentation from tree. Will be overridden later. */
|
||||
.extra-network-tree .tree-list--subgroup {
|
||||
margin: 0 !important;
|
||||
padding: 0 !important;
|
||||
box-shadow: 0.5rem 0 0 var(--body-background-fill) inset,
|
||||
0.7rem 0 0 var(--neutral-800) inset;
|
||||
}
|
||||
|
||||
/* Set indentation for each depth of tree. */
|
||||
.extra-network-tree .tree-list--subgroup > .tree-list-item {
|
||||
margin-left: 0.4rem !important;
|
||||
padding-left: 0.4rem !important;
|
||||
}
|
||||
|
||||
/* Styles for tree <li> elements. */
|
||||
.extra-network-tree .tree-list-item {
|
||||
list-style: none;
|
||||
position: relative;
|
||||
background-color: transparent;
|
||||
}
|
||||
|
||||
/* Directory <ul> visibility based on data-expanded attribute. */
|
||||
.extra-network-tree .tree-list-content+.tree-list--subgroup {
|
||||
height: 0;
|
||||
visibility: hidden;
|
||||
opacity: 0;
|
||||
}
|
||||
|
||||
.extra-network-tree .tree-list-content[data-expanded]+.tree-list--subgroup {
|
||||
height: auto;
|
||||
visibility: visible;
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
/* File <li> */
|
||||
.extra-network-tree .tree-list-item--subitem {
|
||||
padding-top: 0 !important;
|
||||
padding-bottom: 0 !important;
|
||||
margin-top: 0 !important;
|
||||
margin-bottom: 0 !important;
|
||||
}
|
||||
|
||||
/* <li> containing <ul> */
|
||||
.extra-network-tree .tree-list-item--has-subitem {}
|
||||
|
||||
/* BUTTON ELEMENTS */
|
||||
/* <button> */
|
||||
.extra-network-tree .tree-list-content {
|
||||
position: relative;
|
||||
display: grid;
|
||||
width: 100%;
|
||||
padding: 0 !important;
|
||||
margin-top: 0 !important;
|
||||
margin-bottom: 0 !important;
|
||||
font-size: 1rem;
|
||||
text-align: left;
|
||||
user-select: none;
|
||||
background-color: transparent;
|
||||
border: none;
|
||||
transition: background 33.333ms linear;
|
||||
grid-template-rows: min-content;
|
||||
grid-template-areas: "leading-action leading-visual label trailing-visual trailing-action";
|
||||
grid-template-columns: min-content min-content minmax(0, auto) min-content min-content;
|
||||
grid-gap: 0.1rem;
|
||||
align-items: start;
|
||||
flex-grow: 1;
|
||||
flex-basis: 100%;
|
||||
}
|
||||
/* Buttons for directories. */
|
||||
.extra-network-tree .tree-list-content-dir {}
|
||||
|
||||
/* Buttons for files. */
|
||||
.extra-network-tree .tree-list-item--has-subitem .tree-list--subgroup > li:first-child {
|
||||
padding-top: 0.5rem !important;
|
||||
}
|
||||
|
||||
.dark .extra-network-tree div.tree-list-content:hover {
|
||||
-webkit-transition: all 0.05s ease-in-out;
|
||||
transition: all 0.05s ease-in-out;
|
||||
background-color: var(--neutral-800);
|
||||
}
|
||||
|
||||
.dark .extra-network-tree div.tree-list-content[data-selected] {
|
||||
background-color: var(--neutral-700);
|
||||
}
|
||||
|
||||
.extra-network-tree div.tree-list-content[data-selected] {
|
||||
background-color: var(--neutral-300);
|
||||
}
|
||||
|
||||
.extra-network-tree div.tree-list-content:hover {
|
||||
-webkit-transition: all 0.05s ease-in-out;
|
||||
transition: all 0.05s ease-in-out;
|
||||
background-color: var(--neutral-200);
|
||||
}
|
||||
|
||||
/* ==== CHEVRON ICON ACTIONS ==== */
|
||||
/* Define the animation for the arrow when it is clicked. */
|
||||
.extra-network-tree .tree-list-content-dir .tree-list-item-action-chevron {
|
||||
-ms-transform: rotate(135deg);
|
||||
-webkit-transform: rotate(135deg);
|
||||
transform: rotate(135deg);
|
||||
transition: transform 0.2s;
|
||||
}
|
||||
|
||||
.extra-network-tree .tree-list-content-dir[data-expanded] .tree-list-item-action-chevron {
|
||||
-ms-transform: rotate(225deg);
|
||||
-webkit-transform: rotate(225deg);
|
||||
transform: rotate(225deg);
|
||||
transition: transform 0.2s;
|
||||
}
|
||||
|
||||
.tree-list-item-action-chevron {
|
||||
display: inline-flex;
|
||||
/* Uses box shadow to generate a pseudo chevron `>` icon. */
|
||||
padding: 0.3rem;
|
||||
box-shadow: 0.1rem 0.1rem 0 0 var(--neutral-200) inset;
|
||||
transform: rotate(135deg);
|
||||
}
|
||||
|
||||
/* ==== SEARCH INPUT ACTIONS ==== */
|
||||
/* Add icon to left side of <input> */
|
||||
.extra-network-control .extra-network-control--search::before {
|
||||
content: "🔎︎";
|
||||
position: absolute;
|
||||
margin: 0.5rem;
|
||||
font-size: 1rem;
|
||||
color: var(--input-placeholder-color);
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--search {
|
||||
display: inline-flex;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--search .extra-network-control--search-text {
|
||||
border: 1px solid var(--button-secondary-border-color);
|
||||
border-radius: 0.5rem;
|
||||
color: var(--button-secondary-text-color);
|
||||
background-color: transparent;
|
||||
width: 100%;
|
||||
padding-left: 2rem;
|
||||
line-height: 1rem;
|
||||
}
|
||||
|
||||
/* <input> clear button (x on right side) styling */
|
||||
.extra-network-control .extra-network-control--search .extra-network-control--search-text::-webkit-search-cancel-button {
|
||||
-webkit-appearance: none;
|
||||
appearance: none;
|
||||
cursor: pointer;
|
||||
height: 1rem;
|
||||
width: 1rem;
|
||||
mask-image: url('data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="black" stroke-width="4" stroke-linecap="round" stroke-linejoin="round"><line x1="18" y1="6" x2="6" y2="18"></line><line x1="6" y1="6" x2="18" y2="18"></line></svg>');
|
||||
mask-repeat: no-repeat;
|
||||
mask-position: center center;
|
||||
mask-size: 100%;
|
||||
background-color: var(--input-placeholder-color);
|
||||
}
|
||||
|
||||
/* ==== SORT ICON ACTIONS ==== */
|
||||
.extra-network-control .extra-network-control--sort {
|
||||
padding: 0.25rem;
|
||||
display: inline-flex;
|
||||
cursor: pointer;
|
||||
justify-self: center;
|
||||
align-self: center;
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--sort .extra-network-control--sort-icon {
|
||||
height: 1.5rem;
|
||||
width: 1.5rem;
|
||||
mask-repeat: no-repeat;
|
||||
mask-position: center center;
|
||||
mask-size: 100%;
|
||||
background-color: var(--input-placeholder-color);
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--sort[data-sortmode="path"] .extra-network-control--sort-icon {
|
||||
mask-image: url('data:image/svg+xml,<svg viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><g id="SVGRepo_bgCarrier" stroke-width="0"></g><g id="SVGRepo_tracerCarrier" stroke-linecap="round" stroke-linejoin="round"></g><g id="SVGRepo_iconCarrier"><path fill-rule="evenodd" clip-rule="evenodd" d="M1 5C1 3.34315 2.34315 2 4 2H8.43845C9.81505 2 11.015 2.93689 11.3489 4.27239L11.7808 6H13.5H20C21.6569 6 23 7.34315 23 9V11C23 11.5523 22.5523 12 22 12C21.4477 12 21 11.5523 21 11V9C21 8.44772 20.5523 8 20 8H13.5H11.7808H4C3.44772 8 3 8.44772 3 9V10V19C3 19.5523 3.44772 20 4 20H9C9.55228 20 10 20.4477 10 21C10 21.5523 9.55228 22 9 22H4C2.34315 22 1 20.6569 1 19V10V9V5ZM3 6.17071C3.31278 6.06015 3.64936 6 4 6H9.71922L9.40859 4.75746C9.2973 4.3123 8.89732 4 8.43845 4H4C3.44772 4 3 4.44772 3 5V6.17071ZM20.1716 18.7574C20.6951 17.967 21 17.0191 21 16C21 13.2386 18.7614 11 16 11C13.2386 11 11 13.2386 11 16C11 18.7614 13.2386 21 16 21C17.0191 21 17.967 20.6951 18.7574 20.1716L21.2929 22.7071C21.6834 23.0976 22.3166 23.0976 22.7071 22.7071C23.0976 22.3166 23.0976 21.6834 22.7071 21.2929L20.1716 18.7574ZM13 16C13 14.3431 14.3431 13 16 13C17.6569 13 19 14.3431 19 16C19 17.6569 17.6569 19 16 19C14.3431 19 13 17.6569 13 16Z" fill="%23000000"></path></g></svg>');
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--sort[data-sortmode="name"] .extra-network-control--sort-icon {
|
||||
mask-image: url('data:image/svg+xml,<svg viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><g id="SVGRepo_bgCarrier" stroke-width="0"></g><g id="SVGRepo_tracerCarrier" stroke-linecap="round" stroke-linejoin="round"></g><g id="SVGRepo_iconCarrier"><path fill-rule="evenodd" clip-rule="evenodd" d="M17.1841 6.69223C17.063 6.42309 16.7953 6.25 16.5002 6.25C16.2051 6.25 15.9374 6.42309 15.8162 6.69223L11.3162 16.6922C11.1463 17.07 11.3147 17.514 11.6924 17.6839C12.0701 17.8539 12.5141 17.6855 12.6841 17.3078L14.1215 14.1136H18.8789L20.3162 17.3078C20.4862 17.6855 20.9302 17.8539 21.308 17.6839C21.6857 17.514 21.8541 17.07 21.6841 16.6922L17.1841 6.69223ZM16.5002 8.82764L14.7965 12.6136H18.2039L16.5002 8.82764Z" fill="%231C274C"></path><path opacity="0.5" fill-rule="evenodd" clip-rule="evenodd" d="M2.25 7C2.25 6.58579 2.58579 6.25 3 6.25H13C13.4142 6.25 13.75 6.58579 13.75 7C13.75 7.41421 13.4142 7.75 13 7.75H3C2.58579 7.75 2.25 7.41421 2.25 7Z" fill="%231C274C"></path><path opacity="0.5" d="M2.25 12C2.25 11.5858 2.58579 11.25 3 11.25H10C10.4142 11.25 10.75 11.5858 10.75 12C10.75 12.4142 10.4142 12.75 10 12.75H3C2.58579 12.75 2.25 12.4142 2.25 12Z" fill="%231C274C"></path><path opacity="0.5" d="M2.25 17C2.25 16.5858 2.58579 16.25 3 16.25H8C8.41421 16.25 8.75 16.5858 8.75 17C8.75 17.4142 8.41421 17.75 8 17.75H3C2.58579 17.75 2.25 17.4142 2.25 17Z" fill="%231C274C"></path></g></svg>');
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--sort[data-sortmode="date_created"] .extra-network-control--sort-icon {
|
||||
mask-image: url('data:image/svg+xml,<svg viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><g id="SVGRepo_bgCarrier" stroke-width="0"></g><g id="SVGRepo_tracerCarrier" stroke-linecap="round" stroke-linejoin="round"></g><g id="SVGRepo_iconCarrier"><path d="M17 11C14.2386 11 12 13.2386 12 16C12 18.7614 14.2386 21 17 21C19.7614 21 22 18.7614 22 16C22 13.2386 19.7614 11 17 11ZM17 11V9M2 9V15.8C2 16.9201 2 17.4802 2.21799 17.908C2.40973 18.2843 2.71569 18.5903 3.09202 18.782C3.51984 19 4.0799 19 5.2 19H13M2 9V8.2C2 7.0799 2 6.51984 2.21799 6.09202C2.40973 5.71569 2.71569 5.40973 3.09202 5.21799C3.51984 5 4.0799 5 5.2 5H13.8C14.9201 5 15.4802 5 15.908 5.21799C16.2843 5.40973 16.5903 5.71569 16.782 6.09202C17 6.51984 17 7.0799 17 8.2V9M2 9H17M5 3V5M14 3V5M15 16H17M17 16H19M17 16V14M17 16V18" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></g></svg>');
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--sort[data-sortmode="date_modified"] .extra-network-control--sort-icon {
|
||||
mask-image: url('data:image/svg+xml,<svg viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><g id="SVGRepo_bgCarrier" stroke-width="0"></g><g id="SVGRepo_tracerCarrier" stroke-linecap="round" stroke-linejoin="round"></g><g id="SVGRepo_iconCarrier"><path d="M10 21H6.2C5.0799 21 4.51984 21 4.09202 20.782C3.71569 20.5903 3.40973 20.2843 3.21799 19.908C3 19.4802 3 18.9201 3 17.8V8.2C3 7.0799 3 6.51984 3.21799 6.09202C3.40973 5.71569 3.71569 5.40973 4.09202 5.21799C4.51984 5 5.0799 5 6.2 5H17.8C18.9201 5 19.4802 5 19.908 5.21799C20.2843 5.40973 20.5903 5.71569 20.782 6.09202C21 6.51984 21 7.0799 21 8.2V10M7 3V5M17 3V5M3 9H21M13.5 13.0001L7 13M10 17.0001L7 17M14 21L16.025 20.595C16.2015 20.5597 16.2898 20.542 16.3721 20.5097C16.4452 20.4811 16.5147 20.4439 16.579 20.399C16.6516 20.3484 16.7152 20.2848 16.8426 20.1574L21 16C21.5523 15.4477 21.5523 14.5523 21 14C20.4477 13.4477 19.5523 13.4477 19 14L14.8426 18.1574C14.7152 18.2848 14.6516 18.3484 14.601 18.421C14.5561 18.4853 14.5189 18.5548 14.4903 18.6279C14.458 18.7102 14.4403 18.7985 14.405 18.975L14 21Z" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></g></svg>');
|
||||
}
|
||||
|
||||
/* ==== SORT DIRECTION ICON ACTIONS ==== */
|
||||
.extra-network-control .extra-network-control--sort-dir {
|
||||
padding: 0.25rem;
|
||||
display: inline-flex;
|
||||
cursor: pointer;
|
||||
justify-self: center;
|
||||
align-self: center;
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--sort-dir .extra-network-control--sort-dir-icon {
|
||||
height: 1.5rem;
|
||||
width: 1.5rem;
|
||||
mask-repeat: no-repeat;
|
||||
mask-position: center center;
|
||||
mask-size: 100%;
|
||||
background-color: var(--input-placeholder-color);
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--sort-dir[data-sortdir="Ascending"] .extra-network-control--sort-dir-icon {
|
||||
mask-image: url('data:image/svg+xml,<svg viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><g id="SVGRepo_bgCarrier" stroke-width="0"></g><g id="SVGRepo_tracerCarrier" stroke-linecap="round" stroke-linejoin="round"></g><g id="SVGRepo_iconCarrier"><path d="M13 12H21M13 8H21M13 16H21M6 7V17M6 7L3 10M6 7L9 10" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></g></svg>');
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--sort-dir[data-sortdir="Descending"] .extra-network-control--sort-dir-icon {
|
||||
mask-image: url('data:image/svg+xml,<svg viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><g id="SVGRepo_bgCarrier" stroke-width="0"></g><g id="SVGRepo_tracerCarrier" stroke-linecap="round" stroke-linejoin="round"></g><g id="SVGRepo_iconCarrier"><path d="M13 12H21M13 8H21M13 16H21M6 7V17M6 17L3 14M6 17L9 14" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></g></svg>');
|
||||
}
|
||||
|
||||
/* ==== TREE VIEW ICON ACTIONS ==== */
|
||||
.extra-network-control .extra-network-control--tree-view {
|
||||
padding: 0.25rem;
|
||||
display: inline-flex;
|
||||
cursor: pointer;
|
||||
justify-self: center;
|
||||
align-self: center;
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--tree-view .extra-network-control--tree-view-icon {
|
||||
height: 1.5rem;
|
||||
width: 1.5rem;
|
||||
mask-image: url('data:image/svg+xml,<svg viewBox="0 0 16 16" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" fill="black"><g id="SVGRepo_bgCarrier" stroke-width="0"></g><g id="SVGRepo_tracerCarrier" stroke-linecap="round" stroke-linejoin="round"></g><g id="SVGRepo_iconCarrier"><path fill="black" d="M16 10v-4h-11v1h-2v-3h9v-4h-12v4h2v10h3v2h11v-4h-11v1h-2v-5h2v2z"></path></g></svg>');
|
||||
mask-repeat: no-repeat;
|
||||
mask-position: center center;
|
||||
mask-size: 100%;
|
||||
background-color: var(--input-placeholder-color);
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--enabled {
|
||||
background-color: rgba(0, 0, 0, 0.15);
|
||||
}
|
||||
|
||||
.dark .extra-network-control .extra-network-control--enabled {
|
||||
background-color: rgba(255, 255, 255, 0.15);
|
||||
}
|
||||
|
||||
/* ==== REFRESH ICON ACTIONS ==== */
|
||||
.extra-network-control .extra-network-control--refresh {
|
||||
padding: 0.25rem;
|
||||
display: inline-flex;
|
||||
cursor: pointer;
|
||||
justify-self: center;
|
||||
align-self: center;
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--refresh .extra-network-control--refresh-icon {
|
||||
height: 1.5rem;
|
||||
width: 1.5rem;
|
||||
mask-image: url('data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="bevel"><path d="M21.5 2v6h-6M21.34 15.57a10 10 0 1 1-.57-8.38"/></svg>');
|
||||
mask-repeat: no-repeat;
|
||||
mask-position: center center;
|
||||
mask-size: 100%;
|
||||
background-color: var(--input-placeholder-color);
|
||||
}
|
||||
|
||||
.extra-network-control .extra-network-control--refresh-icon:active {
|
||||
-ms-transform: rotate(180deg);
|
||||
-webkit-transform: rotate(180deg);
|
||||
transform: rotate(180deg);
|
||||
transition: transform 0.2s;
|
||||
}
|
||||
|
||||
/* ==== TREE GRID CONFIG ==== */
|
||||
|
||||
/* Text for button. */
|
||||
.extra-network-tree .tree-list-item-label {
|
||||
position: relative;
|
||||
line-height: 1.25rem;
|
||||
color: var(--button-secondary-text-color);
|
||||
grid-area: label;
|
||||
padding-left: 0.5rem;
|
||||
}
|
||||
|
||||
/* Text for button truncated. */
|
||||
.extra-network-tree .tree-list-item-label--truncate {
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
/* Icon for button. */
|
||||
.extra-network-tree .tree-list-item-visual {
|
||||
min-height: 1rem;
|
||||
color: var(--button-secondary-text-color);
|
||||
pointer-events: none;
|
||||
align-items: right;
|
||||
}
|
||||
|
||||
|
||||
/* Icon for button when it is before label. */
|
||||
.extra-network-tree .tree-list-item-visual--leading {
|
||||
grid-area: leading-visual;
|
||||
width: 1rem;
|
||||
text-align: right;
|
||||
}
|
||||
|
||||
/* Icon for button when it is after label. */
|
||||
.extra-network-tree .tree-list-item-visual--trailing {
|
||||
grid-area: trailing-visual;
|
||||
width: 1rem;
|
||||
text-align: right;
|
||||
}
|
||||
|
||||
/* Dropdown arrow for button. */
|
||||
.extra-network-tree .tree-list-item-action--leading {
|
||||
margin-right: 0.5rem;
|
||||
margin-left: 0.2rem;
|
||||
}
|
||||
|
||||
.extra-network-tree .tree-list-content-file .tree-list-item-action--leading {
|
||||
visibility: hidden;
|
||||
}
|
||||
|
||||
.extra-network-tree .tree-list-item-action--leading {
|
||||
grid-area: leading-action;
|
||||
}
|
||||
|
||||
.extra-network-tree .tree-list-item-action--trailing {
|
||||
grid-area: trailing-action;
|
||||
display: inline-flex;
|
||||
}
|
||||
|
||||
.extra-network-tree .tree-list-content .button-row {
|
||||
display: inline-flex;
|
||||
visibility: hidden;
|
||||
color: var(--button-secondary-text-color);
|
||||
|
||||
}
|
||||
|
||||
.extra-network-tree .tree-list-content:hover .button-row {
|
||||
visibility: visible;
|
||||
}
|
||||
|
||||
@@ -158,6 +158,10 @@ then
|
||||
if echo "$gpu_info" | grep -q "AMD" && [[ -z "${TORCH_COMMAND}" ]]
|
||||
then
|
||||
export TORCH_COMMAND="pip install torch==2.0.1+rocm5.4.2 torchvision==0.15.2+rocm5.4.2 --index-url https://download.pytorch.org/whl/rocm5.4.2"
|
||||
elif echo "$gpu_info" | grep -q "Huawei" && [[ -z "${TORCH_COMMAND}" ]]
|
||||
then
|
||||
export TORCH_COMMAND="pip install torch==2.1.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu; pip install torch_npu"
|
||||
|
||||
fi
|
||||
fi
|
||||
|
||||
@@ -222,30 +226,46 @@ fi
|
||||
# Try using TCMalloc on Linux
|
||||
prepare_tcmalloc() {
|
||||
if [[ "${OSTYPE}" == "linux"* ]] && [[ -z "${NO_TCMALLOC}" ]] && [[ -z "${LD_PRELOAD}" ]]; then
|
||||
# check glibc version
|
||||
LIBC_VER=$(echo $(ldd --version | awk 'NR==1 {print $NF}') | grep -oP '\d+\.\d+')
|
||||
echo "glibc version is $LIBC_VER"
|
||||
libc_vernum=$(expr $LIBC_VER)
|
||||
# Since 2.34 libpthread is integrated into libc.so
|
||||
libc_v234=2.34
|
||||
# Define Tcmalloc Libs arrays
|
||||
TCMALLOC_LIBS=("libtcmalloc(_minimal|)\.so\.\d" "libtcmalloc\.so\.\d")
|
||||
|
||||
# Traversal array
|
||||
for lib in "${TCMALLOC_LIBS[@]}"
|
||||
do
|
||||
#Determine which type of tcmalloc library the library supports
|
||||
TCMALLOC="$(PATH=/usr/sbin:$PATH ldconfig -p | grep -P $lib | head -n 1)"
|
||||
TC_INFO=(${TCMALLOC//=>/})
|
||||
if [[ ! -z "${TC_INFO}" ]]; then
|
||||
echo "Using TCMalloc: ${TC_INFO}"
|
||||
#Determine if the library is linked to libptthread and resolve undefined symbol: ptthread_Key_Create
|
||||
if ldd ${TC_INFO[2]} | grep -q 'libpthread'; then
|
||||
echo "$TC_INFO is linked with libpthread,execute LD_PRELOAD=${TC_INFO}"
|
||||
export LD_PRELOAD="${TC_INFO}"
|
||||
break
|
||||
else
|
||||
echo "$TC_INFO is not linked with libpthreadand will trigger undefined symbol: ptthread_Key_Create error"
|
||||
fi
|
||||
else
|
||||
printf "\e[1m\e[31mCannot locate TCMalloc (improves CPU memory usage)\e[0m\n"
|
||||
fi
|
||||
# Determine which type of tcmalloc library the library supports
|
||||
TCMALLOC="$(PATH=/usr/sbin:$PATH ldconfig -p | grep -P $lib | head -n 1)"
|
||||
TC_INFO=(${TCMALLOC//=>/})
|
||||
if [[ ! -z "${TC_INFO}" ]]; then
|
||||
echo "Check TCMalloc: ${TC_INFO}"
|
||||
# Determine if the library is linked to libpthread and resolve undefined symbol: pthread_key_create
|
||||
if [ $(echo "$libc_vernum < $libc_v234" | bc) -eq 1 ]; then
|
||||
# glibc < 2.34 pthread_key_create into libpthread.so. check linking libpthread.so...
|
||||
if ldd ${TC_INFO[2]} | grep -q 'libpthread'; then
|
||||
echo "$TC_INFO is linked with libpthread,execute LD_PRELOAD=${TC_INFO[2]}"
|
||||
# set fullpath LD_PRELOAD (To be on the safe side)
|
||||
export LD_PRELOAD="${TC_INFO[2]}"
|
||||
break
|
||||
else
|
||||
echo "$TC_INFO is not linked with libpthread will trigger undefined symbol: pthread_Key_create error"
|
||||
fi
|
||||
else
|
||||
# Version 2.34 of libc.so (glibc) includes the pthread library IN GLIBC. (USE ubuntu 22.04 and modern linux system and WSL)
|
||||
# libc.so(glibc) is linked with a library that works in ALMOST ALL Linux userlands. SO NO CHECK!
|
||||
echo "$TC_INFO is linked with libc.so,execute LD_PRELOAD=${TC_INFO[2]}"
|
||||
# set fullpath LD_PRELOAD (To be on the safe side)
|
||||
export LD_PRELOAD="${TC_INFO[2]}"
|
||||
break
|
||||
fi
|
||||
fi
|
||||
done
|
||||
|
||||
if [[ -z "${LD_PRELOAD}" ]]; then
|
||||
printf "\e[1m\e[31mCannot locate TCMalloc. Do you have tcmalloc or google-perftool installed on your system? (improves CPU memory usage)\e[0m\n"
|
||||
fi
|
||||
fi
|
||||
}
|
||||
|
||||
|
||||
Reference in New Issue
Block a user