rename variables and print coordinates

CHANGELOG.md

@@ -1,120 +1,3 @@
-## 1.10.1
-
-### Bug Fixes:
-* fix image upscale on cpu ([#16275](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16275))
-
-
-## 1.10.0
-
-### Features:
-* A lot of performance improvements (see below in Performance section)
-* Stable Diffusion 3 support ([#16030](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16030), [#16164](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16164), [#16212](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16212))
-  * Recommended Euler sampler; DDIM and other timestamp samplers currently not supported
-  * T5 text model is disabled by default, enable it in settings
-* New schedulers:
-  * Align Your Steps ([#15751](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15751))
-  * KL Optimal ([#15608](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15608))
-  * Normal ([#16149](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16149))
-  * DDIM ([#16149](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16149))
-  * Simple ([#16142](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16142))
-  * Beta ([#16235](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16235))
-* New sampler: DDIM CFG++ ([#16035](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16035))
-
-### Minor:
-* Option to skip CFG on early steps ([#15607](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15607))
-* Add --models-dir option ([#15742](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15742))
-* Allow mobile users to open context menu by using two fingers press ([#15682](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15682))
-* Infotext: add Lora name as TI hashes for bundled Textual Inversion ([#15679](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15679))
-* Check model's hash after downloading it to prevent corruped downloads ([#15602](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15602))
-* More extension tag filtering options ([#15627](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15627))
-* When saving AVIF, use JPEG's quality setting ([#15610](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15610))
-* Add filename pattern: `[basename]` ([#15978](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15978))
-* Add option to enable clip skip for clip L on SDXL ([#15992](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15992))
-* Option to prevent screen sleep during generation ([#16001](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16001))
-* ToggleLivePriview button in image viewer ([#16065](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16065))
-* Remove ui flashing on reloading and fast scrollong ([#16153](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16153))
-* option to disable save button log.csv ([#16242](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16242))
-
-### Extensions and API:
-* Add process_before_every_sampling hook ([#15984](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15984))
-* Return HTTP 400 instead of 404 on invalid sampler error ([#16140](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16140))
-
-### Performance:
-* [Performance 1/6] use_checkpoint = False ([#15803](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15803))
-* [Performance 2/6] Replace einops.rearrange with torch native ops ([#15804](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15804))
-* [Performance 4/6] Precompute is_sdxl_inpaint flag ([#15806](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15806))
-* [Performance 5/6] Prevent unnecessary extra networks bias backup ([#15816](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15816))
-* [Performance 6/6] Add --precision half option to avoid casting during inference ([#15820](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15820))
-* [Performance] LDM optimization patches ([#15824](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15824))
-* [Performance] Keep sigmas on CPU ([#15823](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15823))
-* Check for nans in unet only once, after all steps have been completed
-* Added pption to run torch profiler for image generation
-
-### Bug Fixes:
-* Fix for grids without comprehensive infotexts ([#15958](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15958))
-* feat: lora partial update precede full update ([#15943](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15943))
-* Fix bug where file extension had an extra '.' under some circumstances ([#15893](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15893))
-* Fix corrupt model initial load loop ([#15600](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15600))
-* Allow old sampler names in API ([#15656](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15656))
-* more old sampler scheduler compatibility ([#15681](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15681))
-* Fix Hypertile xyz ([#15831](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15831))
-* XYZ CSV skipinitialspace ([#15832](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15832))
-* fix soft inpainting on mps and xpu, torch_utils.float64 ([#15815](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15815))
-* fix extention update when not on main branch ([#15797](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15797))
-* update pickle safe filenames
-* use relative path for webui-assets css ([#15757](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15757))
-* When creating a virtual environment, upgrade pip in webui.bat/webui.sh ([#15750](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15750))
-* Fix AttributeError ([#15738](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15738))
-* use script_path for webui root in launch_utils ([#15705](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15705))
-* fix extra batch mode P Transparency ([#15664](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15664))
-* use gradio theme colors in css ([#15680](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15680))
-* Fix dragging text within prompt input ([#15657](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15657))
-* Add correct mimetype for .mjs files ([#15654](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15654))
-* QOL Items - handle metadata issues more cleanly for SD models, Loras and embeddings ([#15632](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15632))
-* replace wsl-open with wslpath and explorer.exe ([#15968](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15968))
-* Fix SDXL Inpaint ([#15976](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15976))
-* multi size grid ([#15988](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15988))
-* fix Replace preview ([#16118](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16118))
-* Possible fix of wrong scale in weight decomposition ([#16151](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16151))
-* Ensure use of python from venv on Mac and Linux ([#16116](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16116))
-* Prioritize python3.10 over python3 if both are available on Linux and Mac (with fallback) ([#16092](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16092))
-* stoping generation extras ([#16085](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16085))
-* Fix SD2 loading ([#16078](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16078), [#16079](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16079))
-* fix infotext Lora hashes for hires fix different lora ([#16062](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16062))
-* Fix sampler scheduler autocorrection warning ([#16054](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16054))
-* fix ui flashing on reloading and fast scrollong ([#16153](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16153))
-* fix upscale logic ([#16239](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16239))
-* [bug] do not break progressbar on non-job actions (add wrap_gradio_call_no_job) ([#16202](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16202))
-* fix OSError: cannot write mode P as JPEG ([#16194](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16194))
-
-### Other:
-* fix changelog #15883 -> #15882 ([#15907](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15907))
-* ReloadUI backgroundColor --background-fill-primary ([#15864](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15864))
-* Use different torch versions for Intel and ARM Macs ([#15851](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15851))
-* XYZ override rework ([#15836](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15836))
-* scroll extensions table on overflow ([#15830](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15830))
-* img2img batch upload method ([#15817](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15817))
-* chore: sync v1.8.0 packages according to changelog ([#15783](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15783))
-* Add AVIF MIME type support to mimetype definitions ([#15739](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15739))
-* Update imageviewer.js ([#15730](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15730))
-* no-referrer ([#15641](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15641))
-* .gitignore trace.json ([#15980](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15980))
-* Bump spandrel to 0.3.4 ([#16144](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16144))
-* Defunct --max-batch-count ([#16119](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16119))
-* docs: update bug_report.yml ([#16102](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16102))
-* Maintaining Project Compatibility for Python 3.9 Users Without Upgrade Requirements. ([#16088](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16088), [#16169](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16169), [#16192](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16192))
-* Update torch for ARM Macs to 2.3.1 ([#16059](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16059))
-* remove deprecated setting dont_fix_second_order_samplers_schedule ([#16061](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16061))
-* chore: fix typos ([#16060](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16060))
-* shlex.join launch args in console log ([#16170](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16170))
-* activate venv .bat ([#16231](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16231))
-* add ids to the resize tabs in img2img ([#16218](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16218))
-* update installation guide linux ([#16178](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16178))
-* Robust sysinfo ([#16173](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16173))
-* do not send image size on paste inpaint ([#16180](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16180))
-* Fix noisy DS_Store files for MacOS ([#16166](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/16166))
-
-
 ## 1.9.4
 
 ### Bug Fixes:

modules/masking.py

@@ -77,6 +77,33 @@ def expand_crop_region(crop_region, processing_width, processing_height, image_w
     return x1, y1, x2, y2
 
 
+def expand_too_small_crop_region(crop_region, processing_width, processing_height, image_width, image_height):
+    """expands a crop_region to not have dimensions smaller than processing_dimensions"""
+
+    def _expand_segment(c1, c2, desirable_length, maximal_coordinate):
+        """expands the segment given by c1 c2 to the desired_dimension but not exceeding the boundaries of the maximal_coordinate"""
+        if (diff := desirable_length + c1 - c2) > 0:
+            # if the region is smaller than desirable_length, extend both sides equally
+            diff_l = diff // 2
+            c1 -= diff_l
+            c2 += diff - diff_l
+            if c1 < 0:  # shift the region to the right by c1
+                c2 = min(c2 - c1, maximal_coordinate)  # ensure c2 is within maximal_coordinate
+                c1 = 0
+            elif c2 >= maximal_coordinate:  # shift the region to the left by (c2 - maximal_coordinate)
+                c1 = max(c1 - c2 + maximal_coordinate, 0)  # ensure c1 is not below 0
+                c2 = maximal_coordinate
+        return c1, c2
+
+    x1, y1, x2, y2 = crop_region
+    x1, x2 = _expand_segment(x1, x2, processing_width, image_width)
+    y1, y2 = _expand_segment(y1, y2, processing_height, image_height)
+    new_crop_region = x1, y1, x2, y2
+    if new_crop_region != crop_region:
+        print("Crop region was smaller then resolution and has been corrected")
+    return new_crop_region
+
+
 def fill(image, mask):
     """fills masked regions with colors from image using blur. Not extremely effective."""
 

modules/processing.py

@@ -1639,6 +1639,8 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
                 crop_region = masking.get_crop_region_v2(mask, self.inpaint_full_res_padding)
                 if crop_region:
                     crop_region = masking.expand_crop_region(crop_region, self.width, self.height, mask.width, mask.height)
+                    if shared.opts.forbid_too_small_crop_region:
+                        crop_region = masking.expand_too_small_crop_region(crop_region, self.width, self.height, mask.width, mask.height)
                     x1, y1, x2, y2 = crop_region
                     mask = mask.crop(crop_region)
                     image_mask = images.resize_image(2, mask, self.width, self.height)

modules/shared_options.py

@@ -227,6 +227,7 @@ options_templates.update(options_section(('img2img', "img2img", "sd"), {
     "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."),
+    "forbid_too_small_crop_region": OptionInfo(False, "Forbid too small crop region").info("Correct inpaint padding for only masked to avoid crop region sides less then processing resolution"),
 }))
 
 options_templates.update(options_section(('optimizations', "Optimizations", "sd"), {

modules/upscaler_utils.py

@@ -41,7 +41,7 @@ def upscale_pil_patch(model, img: Image.Image) -> Image.Image:
     """
     param = torch_utils.get_param(model)
 
-    with torch.inference_mode():
+    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)
         with devices.without_autocast():

scripts/prompts_from_file.py

@@ -11,30 +11,25 @@ from modules.shared import state
 
 
 def process_model_tag(tag):
-    """\"mode-name\""""
     info = sd_models.get_closet_checkpoint_match(tag)
     assert info is not None, f'Unknown checkpoint: {tag}'
     return info.name
 
 
 def process_string_tag(tag):
-    """\"str\""""
     return tag
 
 
 def process_int_tag(tag):
-    """int-number"""
     return int(tag)
 
 
 def process_float_tag(tag):
-    """float-number"""
     return float(tag)
 
 
 def process_boolean_tag(tag):
-    """true|false"""
+    return True if (tag == "true") else False
-    return True if (tag.lower() == "true") else False
 
 
 prompt_tags = {
@@ -65,27 +60,6 @@ prompt_tags = {
 }
 
 
-def doc_md():
-    md = '<details><summary>Usage Syntax</summary><p>\n\n'
-    for key, func in prompt_tags.items():
-        md += f'`--{key}` `{func.__doc__}`\n'
-
-    md += '''
-<details><summary>Example</summary><p>
-
-```shell
---prompt "photo of sunset"
---prompt "photo of sunset" --negative_prompt "orange, pink, red, sea, water, lake" --width 1024 --height 768 --sampler_name "DPM++ 2M Karras" --steps 10 --batch_size 2 --cfg_scale 3 --seed 9
---prompt "photo of winter mountains" --steps 7 --sampler_name "DDIM"
---prompt "photo of winter mountains" --width 1024
-```
-</p></details>
-'''
-
-    md += '</p></details>'
-    return md
-
-
 def cmdargs(line):
     args = shlex.split(line)
     pos = 0
@@ -110,6 +84,7 @@ def cmdargs(line):
             res[tag] = prompt
             continue
 
+
         func = prompt_tags.get(tag, None)
         assert func, f'unknown commandline option: {arg}'
 
@@ -150,9 +125,6 @@ class Script(scripts.Script):
         # We don't shrink back to 1, because that causes the control to ignore [enter], and it may
         # be unclear to the user that shift-enter is needed.
         prompt_txt.change(lambda tb: gr.update(lines=7) if ("\n" in tb) else gr.update(lines=2), inputs=[prompt_txt], outputs=[prompt_txt], show_progress=False)
-
-        gr.Markdown(doc_md())
-
         return [checkbox_iterate, checkbox_iterate_batch, prompt_position, prompt_txt]
 
     def run(self, p, checkbox_iterate, checkbox_iterate_batch, prompt_position, prompt_txt: str):