allow add middleware after app has started

this should completely fix "Cannot add middleware after an application has started" which can occur due to a race condition

.github/workflows/on_pull_request.yaml

@@ -22,7 +22,7 @@ jobs:
       - name: Install Ruff
         run: pip install ruff==0.3.3
       - name: Run Ruff
-        run: ruff .
+        run: ruff check .
   lint-js:
     name: eslint
     runs-on: ubuntu-latest

extensions-builtin/prompt-bracket-checker/javascript/prompt-bracket-checker.js

@@ -1,36 +1,69 @@
-// Stable Diffusion WebUI - Bracket checker
+// Stable Diffusion WebUI - Bracket Checker
-// By Hingashi no Florin/Bwin4L & @akx
+// By @Bwin4L, @akx, @w-e-w, @Haoming02
 // Counts open and closed brackets (round, square, curly) in the prompt and negative prompt text boxes in the txt2img and img2img tabs.
-// If there's a mismatch, the keyword counter turns red and if you hover on it, a tooltip tells you what's wrong.
+// If there's a mismatch, the keyword counter turns red, and if you hover on it, a tooltip tells you what's wrong.
+
+function checkBrackets(textArea, counterElem) {
+    const pairs = [
+        ['(', ')', 'round brackets'],
+        ['[', ']', 'square brackets'],
+        ['{', '}', 'curly brackets']
+    ];
 
-function checkBrackets(textArea, counterElt) {
     const counts = {};
-    textArea.value.matchAll(/(?<!\\)(?:\\\\)*?([(){}[\]])/g).forEach(bracket => {
+    const errors = new Set();
-        counts[bracket[1]] = (counts[bracket[1]] || 0) + 1;
+    let i = 0;
-    });
-    const errors = [];
 
-    function checkPair(open, close, kind) {
+    while (i < textArea.value.length) {
-        if (counts[open] !== counts[close]) {
+        let char = textArea.value[i];
-            errors.push(
+        let escaped = false;
-                `${open}...${close} - Detected ${counts[open] || 0} opening and ${counts[close] || 0} closing ${kind}.`
+        while (char === '\\' && i + 1 < textArea.value.length) {
-            );
+            escaped = !escaped;
+            i++;
+            char = textArea.value[i];
+        }
+
+        if (escaped) {
+            i++;
+            continue;
+        }
+
+        for (const [open, close, label] of pairs) {
+            if (char === open) {
+                counts[label] = (counts[label] || 0) + 1;
+            } else if (char === close) {
+                counts[label] = (counts[label] || 0) - 1;
+                if (counts[label] < 0) {
+                    errors.add(`Incorrect order of ${label}.`);
+                }
+            }
+        }
+
+        i++;
+    }
+
+    for (const [open, close, label] of pairs) {
+        if (counts[label] == undefined) {
+            continue;
+        }
+
+        if (counts[label] > 0) {
+            errors.add(`${open} ... ${close} - Detected ${counts[label]} more opening than closing ${label}.`);
+        } else if (counts[label] < 0) {
+            errors.add(`${open} ... ${close} - Detected ${-counts[label]} more closing than opening ${label}.`);
         }
     }
 
-    checkPair('(', ')', 'round brackets');
+    counterElem.title = [...errors].join('\n');
-    checkPair('[', ']', 'square brackets');
+    counterElem.classList.toggle('error', errors.size !== 0);
-    checkPair('{', '}', 'curly brackets');
-    counterElt.title = errors.join('\n');
-    counterElt.classList.toggle('error', errors.length !== 0);
 }
 
 function setupBracketChecking(id_prompt, id_counter) {
-    var textarea = gradioApp().querySelector("#" + id_prompt + " > label > textarea");
+    const textarea = gradioApp().querySelector(`#${id_prompt} > label > textarea`);
-    var counter = gradioApp().getElementById(id_counter);
+    const counter = gradioApp().getElementById(id_counter);
 
     if (textarea && counter) {
-        textarea.addEventListener("input", () => checkBrackets(textarea, counter));
+        onEdit(`${id_prompt}_BracketChecking`, textarea, 400, () => checkBrackets(textarea, counter));
     }
 }
 

html/footer.html

@@ -1,5 +1,5 @@
 <div>
-        <a href="{api_docs}">API</a>
+        <a href="{api_docs}" target="_blank">API</a>
          • 
         <a href="https://github.com/AUTOMATIC1111/stable-diffusion-webui">GitHub</a>
          • 

modules/initialize.py

@@ -50,6 +50,7 @@ def check_versions():
 
 def initialize():
     from modules import initialize_util
+    initialize_util.allow_add_middleware_after_start()
     initialize_util.fix_torch_version()
     initialize_util.fix_pytorch_lightning()
     initialize_util.fix_asyncio_event_loop_policy()

modules/initialize_util.py

@@ -5,6 +5,8 @@ import sys
 import re
 
 from modules.timer import startup_timer
+from modules import patches
+from functools import wraps
 
 
 def gradio_server_name():
@@ -191,11 +193,8 @@ def configure_opts_onchange():
 
 def setup_middleware(app):
     from starlette.middleware.gzip import GZipMiddleware
-
-    app.middleware_stack = None  # reset current middleware to allow modifying user provided list
     app.add_middleware(GZipMiddleware, minimum_size=1000)
     configure_cors_middleware(app)
-    app.build_middleware_stack()  # rebuild middleware stack on-the-fly
 
 
 def configure_cors_middleware(app):
@@ -213,3 +212,38 @@ def configure_cors_middleware(app):
         cors_options["allow_origin_regex"] = cmd_opts.cors_allow_origins_regex
     app.add_middleware(CORSMiddleware, **cors_options)
 
+
+def allow_add_middleware_after_start():
+    from starlette.applications import Starlette
+
+    def add_middleware_wrapper(func):
+        """Patch Starlette.add_middleware to allow for middleware to be added after the app has started
+
+        Starlette.add_middleware raises RuntimeError("Cannot add middleware after an application has started") if middleware_stack is not None.
+        We can force add new middleware by first setting middleware_stack to None, then adding the middleware.
+        When middleware_stack is None, it will rebuild the middleware_stack on the next request (Lazily build middleware stack).
+
+        If packages are updated in the future, things may break, so we have two ways to add middleware after the app has started:
+        the first way is to just set middleware_stack to None and then retry
+        the second manually insert the middleware into the user_middleware list without calling add_middleware
+        """
+
+        @wraps(func)
+        def wrapper(self, *args, **kwargs):
+            res = None
+            try:
+                res = func(self, *args, **kwargs)
+            except RuntimeError as _:
+                try:
+                    self.middleware_stack = None
+                    res = func(self, *args, **kwargs)
+                except RuntimeError as e:
+                    print(f'Warning: "{e}", Retrying...')
+                    from starlette.middleware import Middleware
+                    self.user_middleware.insert(0, Middleware(*args, **kwargs))
+                self.middleware_stack = None  # ensure middleware_stack in the event of concurrent requests
+            return res
+
+        return wrapper
+
+    patches.patch(__name__, obj=Starlette, field="add_middleware", replacement=add_middleware_wrapper(Starlette.add_middleware))

modules/launch_utils.py

@@ -43,9 +43,7 @@ def check_python_version():
         supported_minors = [7, 8, 9, 10, 11]
 
     if not (major == 3 and minor in supported_minors):
-        import modules.errors
+        errors.print_error_explanation(f"""
-
-        modules.errors.print_error_explanation(f"""
 INCOMPATIBLE PYTHON VERSION
 
 This program is tested with 3.10.6 Python, but you have {major}.{minor}.{micro}.

modules/processing.py

@@ -187,7 +187,6 @@ class StableDiffusionProcessing:
 
     cached_uc = [None, None]
     cached_c = [None, None]
-    hijack_generation_params_state_list = []
 
     comments: dict = None
     sampler: sd_samplers_common.Sampler | None = field(default=None, init=False)
@@ -481,10 +480,6 @@ class StableDiffusionProcessing:
 
         for cache in caches:
             if cache[0] is not None and cached_params == cache[0]:
-                if len(cache) == 3:
-                    generation_params_state, cached_params_2 = cache[2]
-                    if cached_params == cached_params_2:
-                        self.hijack_generation_params_state_list.extend(generation_params_state)
                 return cache[1]
 
         cache = caches[0]
@@ -492,25 +487,9 @@ class StableDiffusionProcessing:
         with devices.autocast():
             cache[1] = function(shared.sd_model, required_prompts, steps, hires_steps, shared.opts.use_old_scheduling)
 
-        generation_params_state = model_hijack.capture_generation_params_state()
-        self.hijack_generation_params_state_list.extend(generation_params_state)
-        if len(cache) == 2:
-            cache.append((generation_params_state, cached_params))
-        else:
-            cache[2] = (generation_params_state, cached_params)
-
         cache[0] = cached_params
         return cache[1]
 
-    def apply_hijack_generation_params(self):
-        self.extra_generation_params.update(model_hijack.extra_generation_params)
-        for func in self.hijack_generation_params_state_list:
-            try:
-                func(self.extra_generation_params)
-            except Exception:
-                errors.report('Failed to apply hijack generation params state', exc_info=True)
-        self.hijack_generation_params_state_list.clear()
-
     def setup_conds(self):
         prompts = prompt_parser.SdConditioning(self.prompts, width=self.width, height=self.height)
         negative_prompts = prompt_parser.SdConditioning(self.negative_prompts, width=self.width, height=self.height, is_negative_prompt=True)
@@ -523,8 +502,6 @@ class StableDiffusionProcessing:
         self.uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, negative_prompts, total_steps, [self.cached_uc], self.extra_network_data)
         self.c = self.get_conds_with_caching(prompt_parser.get_multicond_learned_conditioning, prompts, total_steps, [self.cached_c], self.extra_network_data)
 
-        self.apply_hijack_generation_params()
-
     def get_conds(self):
         return self.c, self.uc
 
@@ -988,6 +965,8 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
 
             p.setup_conds()
 
+            p.extra_generation_params.update(model_hijack.extra_generation_params)
+
             # params.txt should be saved after scripts.process_batch, since the
             # infotext could be modified by that callback
             # Example: a wildcard processed by process_batch sets an extra model
@@ -1534,8 +1513,6 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
         self.hr_uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, hr_negative_prompts, self.firstpass_steps, [self.cached_hr_uc, self.cached_uc], self.hr_extra_network_data, total_steps)
         self.hr_c = self.get_conds_with_caching(prompt_parser.get_multicond_learned_conditioning, hr_prompts, self.firstpass_steps, [self.cached_hr_c, self.cached_c], self.hr_extra_network_data, total_steps)
 
-        self.apply_hijack_generation_params()
-
     def setup_conds(self):
         if self.is_hr_pass:
             # if we are in hr pass right now, the call is being made from the refiner, and we don't need to setup firstpass cons or switch model

modules/sd_hijack.py

@@ -6,7 +6,6 @@ from modules import devices, sd_hijack_optimizations, shared, script_callbacks,
 from modules.hypernetworks import hypernetwork
 from modules.shared import cmd_opts
 from modules import sd_hijack_clip, sd_hijack_open_clip, sd_hijack_unet, sd_hijack_xlmr, xlmr, xlmr_m18
-from modules.util import GenerationParamsState
 
 import ldm.modules.attention
 import ldm.modules.diffusionmodules.model
@@ -322,13 +321,6 @@ class StableDiffusionModelHijack:
         self.comments = []
         self.extra_generation_params = {}
 
-    def capture_generation_params_state(self):
-        state = []
-        for key in list(self.extra_generation_params):
-            if isinstance(self.extra_generation_params[key], GenerationParamsState):
-                state.append(self.extra_generation_params.pop(key))
-        return state
-
     def get_prompt_lengths(self, text):
         if self.clip is None:
             return "-", "-"

modules/sd_hijack_clip.py

@@ -3,9 +3,8 @@ from collections import namedtuple
 
 import torch
 
-from modules import prompt_parser, devices, sd_hijack, sd_emphasis, util
+from modules import prompt_parser, devices, sd_hijack, sd_emphasis
 from modules.shared import opts
-from modules.util import GenerationParamsState
 
 
 class PromptChunk:
@@ -28,31 +27,6 @@ chunk. Those objects are found in PromptChunk.fixes and, are placed into FrozenC
 are applied by sd_hijack.EmbeddingsWithFixes's forward function."""
 
 
-class EmbeddingHashes(GenerationParamsState):
-    def __init__(self, hashes: list):
-        super().__init__()
-        self.hashes = hashes
-
-    def __call__(self, extra_generation_params):
-        unique_hashes = dict.fromkeys(self.hashes)
-        if existing_ti_hashes := extra_generation_params.get('TI hashes'):
-            unique_hashes.update(dict.fromkeys(existing_ti_hashes.split(', ')))
-        extra_generation_params['TI hashes'] = ', '.join(sorted(unique_hashes, key=util.natural_sort_key))
-
-
-class EmphasisMode(GenerationParamsState):
-    def __init__(self, texts):
-        super().__init__()
-        if opts.emphasis != 'Original' and any(x for x in texts if '(' in x or '[' in x):
-            self.emphasis = opts.emphasis
-        else:
-            self.emphasis = None
-
-    def __call__(self, extra_generation_params):
-        if self.emphasis:
-            extra_generation_params['Emphasis'] = self.emphasis
-
-
 class TextConditionalModel(torch.nn.Module):
     def __init__(self):
         super().__init__()
@@ -264,9 +238,12 @@ class TextConditionalModel(torch.nn.Module):
                 hashes.append(f"{name}: {shorthash}")
 
             if hashes:
-                self.hijack.extra_generation_params["TI hashes"] = EmbeddingHashes(hashes)
+                if self.hijack.extra_generation_params.get("TI hashes"):
+                    hashes.append(self.hijack.extra_generation_params.get("TI hashes"))
+                self.hijack.extra_generation_params["TI hashes"] = ", ".join(hashes)
 
-        self.hijack.extra_generation_params["Emphasis"] = EmphasisMode(texts)
+        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 self.return_pooled:
             return torch.hstack(zs), zs[0].pooled

modules/shared_items.py

@@ -125,7 +125,7 @@ def ui_reorder_categories():
 
 def callbacks_order_settings():
     options = {
-        "sd_vae_explanation": OptionHTML("""
+        "callbacks_order_explanation": OptionHTML("""
     For categories below, callbacks added to dropdowns happen before others, in order listed.
     """),
 

modules/shared_options.py

@@ -33,12 +33,12 @@ categories.register_category("training", "Training")
 
 options_templates.update(options_section(('saving-images', "Saving images/grids", "saving"), {
     "samples_save": OptionInfo(True, "Always save all generated images"),
-    "samples_format": OptionInfo('png', 'File format for images'),
+    "samples_format": OptionInfo('png', 'File format for images', ui_components.DropdownEditable, {"choices": ("png", "jpg", "jpeg", "webp", "avif")}).info("manual input of <a href='https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html' target='_blank'>other formats</a> is possible, but compatibility is not guaranteed"),
     "samples_filename_pattern": OptionInfo("", "Images filename pattern", component_args=hide_dirs).link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Images-Filename-Name-and-Subdirectory"),
     "save_images_add_number": OptionInfo(True, "Add number to filename when saving", component_args=hide_dirs),
     "save_images_replace_action": OptionInfo("Replace", "Saving the image to an existing file", gr.Radio, {"choices": ["Replace", "Add number suffix"], **hide_dirs}),
     "grid_save": OptionInfo(True, "Always save all generated image grids"),
-    "grid_format": OptionInfo('png', 'File format for grids'),
+    "grid_format": OptionInfo('png', 'File format for grids', ui_components.DropdownEditable, {"choices": ("png", "jpg", "jpeg", "webp", "avif")}).info("manual input of <a href='https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html' target='_blank'>other formats</a> is possible, but compatibility is not guaranteed"),
     "grid_extended_filename": OptionInfo(False, "Add extended info (seed, prompt) to filename when saving grid"),
     "grid_only_if_multiple": OptionInfo(True, "Do not save grids consisting of one picture"),
     "grid_prevent_empty_spots": OptionInfo(False, "Prevent empty spots in grid (when set to autodetect)"),
@@ -128,6 +128,7 @@ options_templates.update(options_section(('system', "System", "system"), {
     "disable_mmap_load_safetensors": OptionInfo(False, "Disable memmapping for loading .safetensors files.").info("fixes very slow loading speed in some cases"),
     "hide_ldm_prints": OptionInfo(True, "Prevent Stability-AI's ldm/sgm modules from printing noise to console."),
     "dump_stacks_on_signal": OptionInfo(False, "Print stack traces before exiting the program with ctrl+c."),
+    "concurrent_git_fetch_limit": OptionInfo(16, "Number of simultaneous extension update checks ", gr.Slider, {"step": 1, "minimum": 1, "maximum": 100}).info("reduce extension update check time"),
 }))
 
 options_templates.update(options_section(('profiler', "Profiler", "system"), {

modules/ui_extensions.py

@@ -1,5 +1,6 @@
 import json
 import os
+from concurrent.futures import ThreadPoolExecutor
 import threading
 import time
 from datetime import datetime, timezone
@@ -106,18 +107,24 @@ def check_updates(id_task, disable_list):
     exts = [ext for ext in extensions.extensions if ext.remote is not None and ext.name not in disabled]
     shared.state.job_count = len(exts)
 
-    for ext in exts:
+    lock = threading.Lock()
-        shared.state.textinfo = ext.name
 
+    def _check_update(ext):
         try:
             ext.check_updates()
         except FileNotFoundError as e:
             if 'FETCH_HEAD' not in str(e):
                 raise
         except Exception:
-            errors.report(f"Error checking updates for {ext.name}", exc_info=True)
+            with lock:
+                errors.report(f"Error checking updates for {ext.name}", exc_info=True)
+        with lock:
+            shared.state.textinfo = ext.name
+            shared.state.nextjob()
 
-        shared.state.nextjob()
+    with ThreadPoolExecutor(max_workers=max(1, int(shared.opts.concurrent_git_fetch_limit))) as executor:
+        for ext in exts:
+            executor.submit(_check_update, ext)
 
     return extension_table(), ""
 

modules/util.py

@@ -288,18 +288,3 @@ def compare_sha256(file_path: str, hash_prefix: str) -> bool:
         for chunk in iter(lambda: f.read(blksize), b""):
             hash_sha256.update(chunk)
     return hash_sha256.hexdigest().startswith(hash_prefix.strip().lower())
-
-
-class GenerationParamsState:
-    """A custom class used in StableDiffusionModelHijack for assigning extra_generation_params
-    generation_params assigned using this class will work properly with StableDiffusionProcessing.get_conds_with_caching()
-        if assigned directly the generation_params will not be populated if conda cache is used
-
-    Generation_params of this class will be captured (see StableDiffusionModelHijack.capture_generation_params_state) and stored with conda cache, and will be extracted in StableDiffusionProcessing.apply_hijack_generation_params()
-
-    To use this class, create a subclass with a __call__ method that takes extra_generation_params: dict as input
-
-    Example usage: sd_hijack_clip.EmbeddingHashes, sd_hijack_clip.EmphasisMode
-    """
-    def __call__(self, extra_generation_params: dict):
-        raise NotImplementedError

scripts/postprocessing_codeformer.py

@@ -29,6 +29,10 @@ class ScriptPostprocessingCodeFormer(scripts_postprocessing.ScriptPostprocessing
         res = Image.fromarray(restored_img)
 
         if codeformer_visibility < 1.0:
+            if pp.image.size != res.size:
+                res = res.resize(pp.image.size)
+            if pp.image.mode != res.mode:
+                res = res.convert(pp.image.mode)
             res = Image.blend(pp.image, res, codeformer_visibility)
 
         pp.image = res

scripts/postprocessing_gfpgan.py

@@ -26,6 +26,10 @@ class ScriptPostprocessingGfpGan(scripts_postprocessing.ScriptPostprocessing):
         res = Image.fromarray(restored_img)
 
         if gfpgan_visibility < 1.0:
+            if pp.image.size != res.size:
+                res = res.resize(pp.image.size)
+            if pp.image.mode != res.mode:
+                res = res.convert(pp.image.mode)
             res = Image.blend(pp.image, res, gfpgan_visibility)
 
         pp.image = res