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10 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| e936dbb43b | |||
| 813c3912fc | |||
| 078d04ef23 | |||
| 1a773bf2c8 | |||
| f113474a6e | |||
| 6577e063d1 | |||
| 7953c570d9 | |||
| f25c3fc9cb | |||
| fc0952abb9 | |||
| b414c62ce4 |
@@ -22,7 +22,7 @@ jobs:
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- name: Install Ruff
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run: pip install ruff==0.3.3
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- name: Run Ruff
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run: ruff .
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run: ruff check .
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lint-js:
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name: eslint
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runs-on: ubuntu-latest
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+1
-1
@@ -1,5 +1,5 @@
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<div>
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<a href="{api_docs}">API</a>
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<a href="{api_docs}" target="_blank">API</a>
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•
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<a href="https://github.com/AUTOMATIC1111/stable-diffusion-webui">GitHub</a>
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•
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@@ -50,6 +50,7 @@ def check_versions():
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def initialize():
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from modules import initialize_util
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initialize_util.allow_add_middleware_after_start()
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initialize_util.fix_torch_version()
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initialize_util.fix_pytorch_lightning()
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initialize_util.fix_asyncio_event_loop_policy()
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@@ -5,6 +5,8 @@ import sys
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import re
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from modules.timer import startup_timer
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from modules import patches
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from functools import wraps
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def gradio_server_name():
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@@ -191,11 +193,8 @@ def configure_opts_onchange():
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def setup_middleware(app):
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from starlette.middleware.gzip import GZipMiddleware
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app.middleware_stack = None # reset current middleware to allow modifying user provided list
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app.add_middleware(GZipMiddleware, minimum_size=1000)
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configure_cors_middleware(app)
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app.build_middleware_stack() # rebuild middleware stack on-the-fly
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def configure_cors_middleware(app):
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@@ -213,3 +212,38 @@ def configure_cors_middleware(app):
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cors_options["allow_origin_regex"] = cmd_opts.cors_allow_origins_regex
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app.add_middleware(CORSMiddleware, **cors_options)
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def allow_add_middleware_after_start():
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from starlette.applications import Starlette
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def add_middleware_wrapper(func):
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"""Patch Starlette.add_middleware to allow for middleware to be added after the app has started
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Starlette.add_middleware raises RuntimeError("Cannot add middleware after an application has started") if middleware_stack is not None.
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We can force add new middleware by first setting middleware_stack to None, then adding the middleware.
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When middleware_stack is None, it will rebuild the middleware_stack on the next request (Lazily build middleware stack).
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If packages are updated in the future, things may break, so we have two ways to add middleware after the app has started:
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the first way is to just set middleware_stack to None and then retry
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the second manually insert the middleware into the user_middleware list without calling add_middleware
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"""
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@wraps(func)
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def wrapper(self, *args, **kwargs):
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res = None
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try:
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res = func(self, *args, **kwargs)
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except RuntimeError as _:
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try:
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self.middleware_stack = None
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res = func(self, *args, **kwargs)
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except RuntimeError as e:
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print(f'Warning: "{e}", Retrying...')
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from starlette.middleware import Middleware
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self.user_middleware.insert(0, Middleware(*args, **kwargs))
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self.middleware_stack = None # ensure middleware_stack in the event of concurrent requests
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return res
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return wrapper
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patches.patch(__name__, obj=Starlette, field="add_middleware", replacement=add_middleware_wrapper(Starlette.add_middleware))
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@@ -43,9 +43,7 @@ def check_python_version():
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supported_minors = [7, 8, 9, 10, 11]
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if not (major == 3 and minor in supported_minors):
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import modules.errors
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modules.errors.print_error_explanation(f"""
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errors.print_error_explanation(f"""
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INCOMPATIBLE PYTHON VERSION
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This program is tested with 3.10.6 Python, but you have {major}.{minor}.{micro}.
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@@ -125,7 +125,7 @@ def ui_reorder_categories():
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def callbacks_order_settings():
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options = {
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"sd_vae_explanation": OptionHTML("""
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"callbacks_order_explanation": OptionHTML("""
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For categories below, callbacks added to dropdowns happen before others, in order listed.
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"""),
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@@ -29,6 +29,10 @@ class ScriptPostprocessingCodeFormer(scripts_postprocessing.ScriptPostprocessing
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res = Image.fromarray(restored_img)
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if codeformer_visibility < 1.0:
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if pp.image.size != res.size:
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res = res.resize(pp.image.size)
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if pp.image.mode != res.mode:
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res = res.convert(pp.image.mode)
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res = Image.blend(pp.image, res, codeformer_visibility)
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pp.image = res
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@@ -26,6 +26,10 @@ class ScriptPostprocessingGfpGan(scripts_postprocessing.ScriptPostprocessing):
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res = Image.fromarray(restored_img)
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if gfpgan_visibility < 1.0:
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if pp.image.size != res.size:
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res = res.resize(pp.image.size)
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if pp.image.mode != res.mode:
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res = res.convert(pp.image.mode)
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res = Image.blend(pp.image, res, gfpgan_visibility)
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pp.image = res
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