mirror of
https://github.com/vladmandic/automatic
synced 2026-09-18 16:54:33 +02:00
initial css for new gradio
This commit is contained in:
Vladimir Mandic
+2
-1
@@ -30,6 +30,7 @@ __pycache__
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# unexcluded so folders get created
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!/repositories/.placeholder
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!/extensions/.placeholder
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!/embeddings/.placeholder
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!/outputs/.placeholder
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!/models/.placeholder
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!/models/embeddings/.placeholder
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!/models/hypernetworks/.placeholder
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+1
-1
@@ -18,7 +18,7 @@ if [ "$PYTHON" == "" ]; then
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fi
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# Note: Some defaults are changed in shared.py
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CMD="launch.py --skip-install --cors-allow-origins=http://127.0.0.1:7860"
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CMD="launch.py --cors-allow-origins=http://127.0.0.1:7860"
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MODE=optimized
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Submodule extensions-builtin/sd-extension-system-info updated: a8fabaa731...949229f655
@@ -35,26 +35,12 @@ def check_python_version():
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if is_windows:
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supported_minors = [10]
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else:
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supported_minors = [7, 8, 9, 10, 11]
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supported_minors = [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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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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If you encounter an error with "RuntimeError: Couldn't install torch." message,
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or any other error regarding unsuccessful package (library) installation,
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please downgrade (or upgrade) to the latest version of 3.10 Python
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and delete current Python and "venv" folder in WebUI's directory.
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You can download 3.10 Python from here: https://www.python.org/downloads/release/python-3109/
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{"Alternatively, use a binary release of WebUI: https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases" if is_windows else ""}
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Use --skip-python-version-check to suppress this warning.
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""")
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modules.errors.print_error_explanation(f"Incompatible Python version: {major}.{minor}.{micro} required 3.9-3.11")
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def commit_hash():
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@@ -167,7 +153,7 @@ def git_pull_recursive(dir):
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def version_check(commit):
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try:
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import requests
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commits = requests.get('https://api.github.com/repos/AUTOMATIC1111/stable-diffusion-webui/branches/master').json()
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commits = requests.get('https://api.github.com/repos/vladmandic/automatic/branches/master').json()
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if commit != "<none>" and commits['commit']['sha'] != commit:
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print("--------------------------------------------------------")
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print("| You are not up to date with the most recent release. |")
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@@ -190,7 +176,9 @@ def run_extension_installer(extension_dir):
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env = os.environ.copy()
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env['PYTHONPATH'] = os.path.abspath(".")
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print(run(f'"{python}" "{path_installer}"', errdesc=f"Error running install.py for extension {extension_dir}", custom_env=env))
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stdout = run(f'"{python}" "{path_installer}"', errdesc=f"Error running install.py for extension {extension_dir}", custom_env=env)
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if stdout is not None:
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print(stdout)
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except Exception as e:
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print(e, file=sys.stderr)
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@@ -221,10 +209,10 @@ def run_extensions_installers(settings_file):
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def prepare_environment():
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global skip_install
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torch_command = os.environ.get('TORCH_COMMAND', "pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 --extra-index-url https://download.pytorch.org/whl/cu117")
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torch_command = os.environ.get('TORCH_COMMAND', "pip install torch torchaudio torchvision triton --force --extra-index-url https://download.pytorch.org/whl/cu118")
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requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
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xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.16rc425')
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xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.16')
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gfpgan_package = os.environ.get('GFPGAN_PACKAGE', "git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e45126a379")
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clip_package = os.environ.get('CLIP_PACKAGE', "git+https://github.com/openai/CLIP.git@d50d76daa670286dd6cacf3bcd80b5e4823fc8e1")
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openclip_package = os.environ.get('OPENCLIP_PACKAGE', "git+https://github.com/mlfoundations/open_clip.git@bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b")
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@@ -235,9 +223,9 @@ def prepare_environment():
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codeformer_repo = os.environ.get('CODEFORMER_REPO', 'https://github.com/sczhou/CodeFormer.git')
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blip_repo = os.environ.get('BLIP_REPO', 'https://github.com/salesforce/BLIP.git')
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stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "47b6b607fdd31875c9279cd2f4f16b92e4ea958e")
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taming_transformers_commit_hash = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "24268930bf1dce879235a7fddd0b2355b84d7ea6")
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k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "5b3af030dd83e0297272d861c19477735d0317ec")
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stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "fc1488421a2761937b9d54784194157882cbc3b1")
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taming_transformers_commit_hash = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "3ba01b241669f5ade541ce990f7650a3b8f65318")
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k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "b43db16749d51055f813255eea2fdf1def801919")
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codeformer_commit_hash = os.environ.get('CODEFORMER_COMMIT_HASH', "c5b4593074ba6214284d6acd5f1719b6c5d739af")
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blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")
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@@ -264,13 +252,12 @@ def prepare_environment():
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if not is_installed("open_clip"):
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run_pip(f"install {openclip_package}", "open_clip")
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if (not is_installed("xformers") or args.reinstall_xformers) and args.xformers:
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if not is_installed("xformers") and args.reinstall_xformers and args.xformers:
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if platform.system() == "Windows":
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if platform.python_version().startswith("3.10"):
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run_pip(f"install -U -I --no-deps {xformers_package}", "xformers")
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else:
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print("Installation of xformers is not supported in this version of Python.")
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print("You can also check this and build manually: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers#building-xformers-on-windows-by-duckness")
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if not is_installed("xformers"):
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exit(0)
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elif platform.system() == "Linux":
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+12
-11
@@ -23,10 +23,10 @@ parser.add_argument("--gfpgan-model", type=str, help="GFPGAN model file name", d
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parser.add_argument("--no-half", action='store_true', help="do not switch the model to 16-bit floats")
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parser.add_argument("--no-half-vae", action='store_true', help="do not switch the VAE model to 16-bit floats")
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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)")
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parser.add_argument("--max-batch-count", type=int, default=16, help="maximum batch count value for the UI")
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parser.add_argument("--embeddings-dir", type=str, default=os.path.join(data_path, 'embeddings'), help="embeddings directory for textual inversion (default: embeddings)")
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parser.add_argument("--textual-inversion-templates-dir", type=str, default=os.path.join(script_path, 'textual_inversion_templates'), help="directory with textual inversion templates")
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parser.add_argument("--hypernetwork-dir", type=str, default=os.path.join(models_path, 'hypernetworks'), help="hypernetwork directory")
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parser.add_argument("--max-batch-count", type=int, default=32, help="maximum batch count value for the UI")
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parser.add_argument("--embeddings-dir", type=str, default=os.path.join(data_path, 'models/embeddings'), help="embeddings directory for textual inversion (default: embeddings)")
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parser.add_argument("--textual-inversion-templates-dir", type=str, default=os.path.join(script_path, 'train/templates'), help="directory with textual inversion templates")
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parser.add_argument("--hypernetwork-dir", type=str, default=os.path.join(models_path, 'models/hypernetworks'), help="hypernetwork directory")
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parser.add_argument("--localizations-dir", type=str, default=os.path.join(script_path, 'localizations'), help="localizations directory")
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parser.add_argument("--allow-code", action='store_true', help="allow custom script execution from webui")
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parser.add_argument("--medvram", action='store_true', help="enable stable diffusion model optimizations for sacrificing a little speed for low VRM usage")
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@@ -46,7 +46,7 @@ parser.add_argument("--esrgan-models-path", type=str, help="Path to directory wi
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parser.add_argument("--bsrgan-models-path", type=str, help="Path to directory with BSRGAN model file(s).", default=os.path.join(models_path, 'BSRGAN'))
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parser.add_argument("--realesrgan-models-path", type=str, help="Path to directory with RealESRGAN model file(s).", default=os.path.join(models_path, 'RealESRGAN'))
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parser.add_argument("--clip-models-path", type=str, help="Path to directory with CLIP model file(s).", default=None)
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parser.add_argument("--xformers", action='store_true', help="enable xformers for cross attention layers")
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parser.add_argument("--xformers", action='store_true', help="enable xformers for cross attention layers", default=True)
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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")
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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)")
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parser.add_argument("--deepdanbooru", action='store_true', help="does not do anything")
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@@ -57,10 +57,10 @@ parser.add_argument("--sub-quad-kv-chunk-size", type=int, help="kv chunk size fo
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parser.add_argument("--sub-quad-chunk-threshold", type=int, help="the percentage of VRAM threshold for the sub-quadratic cross-attention layer optimization to use chunking", default=None)
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parser.add_argument("--opt-split-attention-invokeai", action='store_true', help="force-enables InvokeAI's cross-attention layer optimization. By default, it's on when cuda is unavailable.")
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parser.add_argument("--opt-split-attention-v1", action='store_true', help="enable older version of split attention optimization that does not consume all the VRAM it can find")
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parser.add_argument("--opt-sdp-attention", action='store_true', help="enable scaled dot product cross-attention layer optimization; requires PyTorch 2.*")
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parser.add_argument("--opt-sdp-attention", action='store_true', help="enable scaled dot product cross-attention layer optimization; requires PyTorch 2.*", default=True)
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parser.add_argument("--opt-sdp-no-mem-attention", action='store_true', help="enable scaled dot product cross-attention layer optimization without memory efficient attention, makes image generation deterministic; requires PyTorch 2.*")
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parser.add_argument("--disable-opt-split-attention", action='store_true', help="force-disables cross-attention layer optimization")
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parser.add_argument("--disable-nan-check", action='store_true', help="do not check if produced images/latent spaces have nans; useful for running without a checkpoint in CI")
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parser.add_argument("--disable-nan-check", action='store_true', help="do not check if produced images/latent spaces have nans; useful for running without a checkpoint in CI", default=True)
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parser.add_argument("--use-cpu", nargs='+', help="use CPU as torch device for specified modules", default=[], type=str.lower)
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parser.add_argument("--listen", action='store_true', help="launch gradio with 0.0.0.0 as server name, allowing to respond to network requests")
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parser.add_argument("--port", type=int, help="launch gradio with given server port, you need root/admin rights for ports < 1024, defaults to 7860 if available", default=None)
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@@ -79,11 +79,11 @@ parser.add_argument("--styles-file", type=str, help="filename to use for styles"
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parser.add_argument("--autolaunch", action='store_true', help="open the webui URL in the system's default browser upon launch", default=False)
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parser.add_argument("--theme", type=str, help="launches the UI with light or dark theme", default=None)
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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)
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parser.add_argument("--disable-console-progressbars", action='store_true', help="do not output progressbars to console", default=False)
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parser.add_argument("--disable-console-progressbars", action='store_true', help="do not output progressbars to console", default=True)
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parser.add_argument("--enable-console-prompts", action='store_true', help="print prompts to console when generating with txt2img and img2img", default=False)
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parser.add_argument('--vae-path', type=str, help='Checkpoint to use as VAE; setting this argument disables all settings related to VAE', default=None)
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parser.add_argument("--disable-safe-unpickle", action='store_true', help="disable checking pytorch models for malicious code", default=False)
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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)")
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parser.add_argument("--disable-safe-unpickle", action='store_true', help="disable checking pytorch models for malicious code", default=True)
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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)", default=True)
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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)
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parser.add_argument("--api-log", action='store_true', help="use api-log=True to enable logging of all API requests")
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parser.add_argument("--nowebui", action='store_true', help="use api=True to launch the API instead of the webui")
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@@ -97,6 +97,7 @@ parser.add_argument("--tls-certfile", type=str, help="Partially enables TLS, req
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parser.add_argument("--server-name", type=str, help="Sets hostname of server", default=None)
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parser.add_argument("--gradio-queue", action='store_true', help="does not do anything", default=True)
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parser.add_argument("--no-gradio-queue", action='store_true', help="Disables gradio queue; causes the webpage to use http requests instead of websockets; was the defaul in earlier versions")
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parser.add_argument("--skip-version-check", action='store_true', help="Do not check versions of torch and xformers")
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parser.add_argument("--skip-version-check", action='store_true', help="Do not check versions of torch and xformers", default=True)
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parser.add_argument("--no-hashing", action='store_true', help="disable sha256 hashing of checkpoints to help loading performance", default=False)
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parser.add_argument("--no-download-sd-model", action='store_true', help="don't download SD1.5 model even if no model is found in --ckpt-dir", default=False)
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parser.add_argument("--profile", action='store_true', help="run profiler")
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+19
-4
@@ -5,9 +5,9 @@ import os
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import sys
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import time
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from PIL import Image
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import gradio as gr
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import tqdm
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from rich import print
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import modules.interrogate
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import modules.memmon
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@@ -20,6 +20,17 @@ demo = None
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parser = cmd_args.parser
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try:
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from rich.pretty import install as pretty_install
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from rich.traceback import install as traceback_install
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from rich.console import Console
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console = Console(log_time=True, log_time_format='%H:%M:%S-%f')
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pretty_install(console=console)
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traceback_install(console=console, extra_lines=1, width=console.width, word_wrap=False, indent_guides=False, show_locals=True, max_frames=2)
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except:
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console = None
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import traceback
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script_loading.preload_extensions(extensions_dir, parser)
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script_loading.preload_extensions(extensions_builtin_dir, parser)
|
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|
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@@ -28,7 +39,6 @@ if os.environ.get('IGNORE_CMD_ARGS_ERRORS', None) is None:
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else:
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cmd_opts, _ = parser.parse_known_args()
|
||||
|
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|
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restricted_opts = {
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"samples_filename_pattern",
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"directories_filename_pattern",
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@@ -60,7 +70,6 @@ devices.device, devices.device_interrogate, devices.device_gfpgan, devices.devic
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(devices.cpu if any(y in cmd_opts.use_cpu for y in [x, 'all']) else devices.get_optimal_device() for x in ['sd', 'interrogate', 'gfpgan', 'esrgan', 'codeformer'])
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device = devices.device
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weight_load_location = None if cmd_opts.lowram else "cpu"
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batch_cond_uncond = cmd_opts.always_batch_cond_uncond or not (cmd_opts.lowvram or cmd_opts.medvram)
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parallel_processing_allowed = not cmd_opts.lowvram and not cmd_opts.medvram
|
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@@ -606,7 +615,7 @@ class TotalTQDM:
|
||||
|
||||
def reset(self):
|
||||
self._tqdm = tqdm.tqdm(
|
||||
desc="Total progress",
|
||||
desc="Total",
|
||||
total=state.job_count * state.sampling_steps,
|
||||
position=1,
|
||||
file=progress_print_out
|
||||
@@ -656,3 +665,9 @@ def html(filename):
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||||
return file.read()
|
||||
|
||||
return ""
|
||||
|
||||
def exception():
|
||||
if console is not None:
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||||
console.print_exception(show_locals=True, max_frames=10, extra_lines=1, suppress=[gr], word_wrap=False, width=min([console.width, 200]))
|
||||
else:
|
||||
print(traceback.format_exc(), file=sys.stderr)
|
||||
|
||||
+3
-3
@@ -301,7 +301,7 @@ def create_toprow(is_img2img):
|
||||
|
||||
with gr.Column(scale=1, elem_id=f"{id_part}_actions_column"):
|
||||
with gr.Row(elem_id=f"{id_part}_generate_box", elem_classes="generate-box"):
|
||||
interrupt = gr.Button('Interrupt', elem_id=f"{id_part}_interrupt", elem_classes="generate-box-interrupt")
|
||||
interrupt = gr.Button('Stop', elem_id=f"{id_part}_interrupt", elem_classes="generate-box-interrupt")
|
||||
skip = gr.Button('Skip', elem_id=f"{id_part}_skip", elem_classes="generate-box-skip")
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||||
submit = gr.Button('Generate', elem_id=f"{id_part}_generate", variant='primary')
|
||||
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@@ -1133,7 +1133,7 @@ def create_ui():
|
||||
|
||||
with gr.Column():
|
||||
with gr.Row():
|
||||
interrupt_preprocessing = gr.Button("Interrupt", elem_id="train_interrupt_preprocessing")
|
||||
interrupt_preprocessing = gr.Button("Stop", elem_id="train_interrupt_preprocessing")
|
||||
run_preprocess = gr.Button(value="Preprocess", variant='primary', elem_id="train_run_preprocess")
|
||||
|
||||
process_split.change(
|
||||
@@ -1206,7 +1206,7 @@ def create_ui():
|
||||
|
||||
with gr.Row():
|
||||
train_embedding = gr.Button(value="Train Embedding", variant='primary', elem_id="train_train_embedding")
|
||||
interrupt_training = gr.Button(value="Interrupt", elem_id="train_interrupt_training")
|
||||
interrupt_training = gr.Button(value="Stop", elem_id="train_interrupt_training")
|
||||
train_hypernetwork = gr.Button(value="Train Hypernetwork", variant='primary', elem_id="train_train_hypernetwork")
|
||||
|
||||
params = script_callbacks.UiTrainTabParams(txt2img_preview_params)
|
||||
|
||||
+8
-1
@@ -1537,5 +1537,12 @@
|
||||
"customscript/seed_travel.py/txt2img/Interpolation curve/visible": true,
|
||||
"customscript/seed_travel.py/txt2img/Interpolation curve/value": "Linear",
|
||||
"customscript/seed_travel.py/img2img/Interpolation curve/visible": true,
|
||||
"customscript/seed_travel.py/img2img/Interpolation curve/value": "Linear"
|
||||
"customscript/seed_travel.py/img2img/Interpolation curve/value": "Linear",
|
||||
"customscript/loopback.py/img2img/Final denoising strength/visible": true,
|
||||
"customscript/loopback.py/img2img/Final denoising strength/value": 0.5,
|
||||
"customscript/loopback.py/img2img/Final denoising strength/minimum": 0,
|
||||
"customscript/loopback.py/img2img/Final denoising strength/maximum": 1,
|
||||
"customscript/loopback.py/img2img/Final denoising strength/step": 0.01,
|
||||
"customscript/loopback.py/img2img/Denoising strength curve/visible": true,
|
||||
"customscript/loopback.py/img2img/Denoising strength curve/value": "Linear"
|
||||
}
|
||||
@@ -50,10 +50,15 @@ div.gradio-container.dark > div.w-full.flex.flex-col.min-h-screen > div { backgr
|
||||
.py-6 { padding-bottom: 0; }
|
||||
.rounded-lg { border-radius: 0; }
|
||||
.tabs { background-color: black; }
|
||||
.gradio-button.tool { border-radius: 0; }
|
||||
.block.token-counter span { border-radius: 0; }
|
||||
.tab-nav { zoom: 130%; margin-bottom: 16px; border-bottom: 2px solid #CE6400 !important; padding-bottom: 2px; }
|
||||
.label-wrap { margin: 16px 0px 8px 0px; }
|
||||
.gradio-slider input[type="number"] { width: 4em; }
|
||||
|
||||
/* automatic style classes */
|
||||
.progressDiv { border-radius: 0; position: fixed; top: 326px; right: 30px; max-width: 248px; height: 36px; }
|
||||
.progressDiv .progress { background: var(--highlight-color); line-height: 2.1rem; height: 36px; }
|
||||
.progressDiv { border-radius: 0 !important; position: fixed; top: 272px; right: 30px; max-width: 248px; height: 36px; }
|
||||
.progressDiv .progress { border-radius: 0 !important; background: var(--highlight-color); line-height: 2.1rem; height: 36px; }
|
||||
.gallery-item { box-shadow: none !important; }
|
||||
.performance { color: #888; }
|
||||
.modalControls { background-color: #4E1400; }
|
||||
@@ -72,14 +77,14 @@ div.gradio-container.dark > div.w-full.flex.flex-col.min-h-screen > div { backgr
|
||||
#script_list { padding: 4px; margin-top: 20px; }
|
||||
#settings > div.flex-wrap { width: 15em; }
|
||||
#tab_extensions table { background-color: #222222; }
|
||||
#txt2img_actions_column { min-width: 260px !important; max-width: 260px !important; }
|
||||
#txt2img_actions_column #img2img_actions_column { min-width: 260px !important; max-width: 260px !important; }
|
||||
#txt2img_cfg_scale { min-width: 200px; }
|
||||
#txt2img_checkboxes, #img2img_checkboxes { background-color: transparent; }
|
||||
#txt2img_checkboxes, #img2img_checkboxes { margin-bottom: 0.2em; }
|
||||
#txt2img_gallery, #img2img_gallery, #extras_gallery { background: black !important; padding: 0; margin: 0; object-fit: contain; box-shadow: none; min-height: 0; }
|
||||
#txt2img_generate, #img2img_generate { margin-left: 10px; height: 36px; margin-top: 15px; border: none; border-radius: 0; min-height: 36px; }
|
||||
#txt2img_interrupt, #img2img_interrupt, #txt2img_skip, #img2img_skip { margin-left: 10px; height: 36px; max-width: 116px; border: none; border-radius: 0; background-color: var(--inactive-color); margin-top: 62px; display: block !important }
|
||||
#txt2img_neg_prompt > label > textarea { font-size: 1.2rem; background-color: black }
|
||||
#txt2img_generate, #img2img_generate { margin-left: 10px; height: 36px; border: none; border-radius: 0; min-height: 36px; }
|
||||
#txt2img_interrupt, #img2img_interrupt, #txt2img_skip, #img2img_skip { margin-left: 10px; height: 36px; min-width: 116px; max-width: 116px; border: none; border-radius: 0; background-color: var(--inactive-color); margin-top: 46px; display: block !important }
|
||||
#txt2img_neg_prompt > label > textarea { font-size: 1.2rem; }
|
||||
#txt2img_progress_row > div { min-width: var(--left-column); max-width: var(--left-column); }
|
||||
#txt2img_prompt > label > textarea { font-size: 1.2rem; }
|
||||
#txt2img_prompt, #txt2img_neg_prompt, #img2img_prompt, #img2img_neg_prompt { background-color: black; }
|
||||
@@ -89,10 +94,220 @@ div.gradio-container.dark > div.w-full.flex.flex-col.min-h-screen > div { backgr
|
||||
#txt2img_subseed_row { padding: 0; margin-top: 16px; }
|
||||
#txt2img_subseed_show { min-width: 74px; padding: 8px 0 0 0 }
|
||||
#txt2img_subseed_strength { margin-top: 0; }
|
||||
#txt2img_tools, #img2img_tools { margin-top: 56px; scale: 120%; margin-left: 28px; gap: 5px; max-width: 210px; }
|
||||
#txt2img_tools, #img2img_tools { margin-top: 54px; scale: 120%; margin-left: 32px; gap: 5px; max-width: 210px; }
|
||||
#txtimg_hr_finalres { max-width: 200px; }
|
||||
|
||||
/* custom elements overrides */
|
||||
#steps-animation, #controlnet { border-width: 0; }
|
||||
|
||||
|
||||
.dark {
|
||||
--body-background-fill: var(--background-fill-primary);
|
||||
--body-text-color: var(--neutral-100);
|
||||
--color-accent-soft: var(--neutral-700);
|
||||
--background-fill-primary: var(--neutral-950);
|
||||
--background-fill-secondary: var(--neutral-900);
|
||||
--border-color-accent: var(--neutral-600);
|
||||
--border-color-primary: black;
|
||||
--link-text-color-active: var(--secondary-500);
|
||||
--link-text-color: var(--secondary-500);
|
||||
--link-text-color-hover: var(--secondary-400);
|
||||
--link-text-color-visited: var(--secondary-600);
|
||||
--body-text-color-subdued: var(--neutral-400);
|
||||
--shadow-spread: 1px;
|
||||
--block-background-fill: None;
|
||||
--block-border-color: var(--border-color-primary);
|
||||
--block_border_width: None;
|
||||
--block-info-text-color: var(--body-text-color-subdued);
|
||||
--block-label-background-fill: var(--background-fill-secondary);
|
||||
--block-label-border-color: var(--border-color-primary);
|
||||
--block_label_border_width: None;
|
||||
--block-label-text-color: var(--neutral-200);
|
||||
--block_shadow: None;
|
||||
--block_title_background_fill: None;
|
||||
--block_title_border_color: None;
|
||||
--block_title_border_width: None;
|
||||
--block-title-text-color: var(--neutral-200);
|
||||
--panel-background-fill: var(--background-fill-secondary);
|
||||
--panel-border-color: var(--border-color-primary);
|
||||
--panel_border_width: None;
|
||||
--checkbox-background-color: var(--neutral-800);
|
||||
--checkbox-background-color-focus: var(--checkbox-background-color);
|
||||
--checkbox-background-color-hover: var(--checkbox-background-color);
|
||||
--checkbox-background-color-selected: var(--secondary-600);
|
||||
--checkbox-border-color: var(--neutral-700);
|
||||
--checkbox-border-color-focus: var(--secondary-500);
|
||||
--checkbox-border-color-hover: var(--neutral-600);
|
||||
--checkbox-border-color-selected: var(--secondary-600);
|
||||
--checkbox-border-width: var(--input-border-width);
|
||||
--checkbox-label-background-fill: linear-gradient(to top, var(--neutral-900), var(--neutral-800));
|
||||
--checkbox-label-background-fill-hover: linear-gradient(to top, var(--neutral-900), var(--neutral-800));
|
||||
--checkbox-label-background-fill-selected: var(--checkbox-label-background-fill);
|
||||
--checkbox-label-border-color: var(--border-color-primary);
|
||||
--checkbox-label-border-color-hover: var(--checkbox-label-border-color);
|
||||
--checkbox-label-border-width: var(--input-border-width);
|
||||
--checkbox-label-text-color: var(--body-text-color);
|
||||
--checkbox-label-text-color-selected: var(--checkbox-label-text-color);
|
||||
--error-background-fill: var(--background-fill-primary);
|
||||
--error-border-color: var(--border-color-primary);
|
||||
--error_border_width: None;
|
||||
--error-text-color: #ef4444;
|
||||
--input-background-fill: var(--neutral-800);
|
||||
--input-background-fill-focus: var(--secondary-600);
|
||||
--input-background-fill-hover: var(--input-background-fill);
|
||||
--input-border-color: var(--border-color-primary);
|
||||
--input-border-color-focus: var(--neutral-700);
|
||||
--input-border-color-hover: var(--input-border-color);
|
||||
--input_border_width: None;
|
||||
--input-placeholder-color: var(--neutral-500);
|
||||
--input_shadow: None;
|
||||
--input-shadow-focus: 0 0 0 var(--shadow-spread) var(--neutral-700), var(--shadow-inset);
|
||||
--loader_color: None;
|
||||
--slider_color: None;
|
||||
--stat-background-fill: linear-gradient(to right, var(--primary-400), var(--primary-600));
|
||||
--table-border-color: var(--neutral-700);
|
||||
--table-even-background-fill: var(--neutral-950);
|
||||
--table-odd-background-fill: var(--neutral-900);
|
||||
--table-row-focus: var(--color-accent-soft);
|
||||
--button-border-width: var(--input-border-width);
|
||||
--button-cancel-background-fill: linear-gradient(to bottom right, #dc2626, #b91c1c);
|
||||
--button-cancel-background-fill-hover: linear-gradient(to bottom right, #dc2626, #dc2626);
|
||||
--button-cancel-border-color: #dc2626;
|
||||
--button-cancel-border-color-hover: var(--button-cancel-border-color);
|
||||
--button-cancel-text-color: white;
|
||||
--button-cancel-text-color-hover: var(--button-cancel-text-color);
|
||||
--button-primary-background-fill: linear-gradient(to bottom right, var(--primary-500), var(--primary-600));
|
||||
--button-primary-background-fill-hover: linear-gradient(to bottom right, var(--primary-500), var(--primary-500));
|
||||
--button-primary-border-color: var(--primary-500);
|
||||
--button-primary-border-color-hover: var(--button-primary-border-color);
|
||||
--button-primary-text-color: white;
|
||||
--button-primary-text-color-hover: var(--button-primary-text-color);
|
||||
--button-secondary-background-fill: linear-gradient(to bottom right, var(--neutral-600), var(--neutral-700));
|
||||
--button-secondary-background-fill-hover: linear-gradient(to bottom right, var(--neutral-600), var(--neutral-600));
|
||||
--button-secondary-border-color: var(--neutral-600);
|
||||
--button-secondary-border-color-hover: var(--button-secondary-border-color);
|
||||
--button-secondary-text-color: white;
|
||||
--button-secondary-text-color-hover: var(--button-secondary-text-color);
|
||||
--primary-50: #fff7ed;
|
||||
--primary-100: #ffedd5;
|
||||
--primary-200: #fed7aa;
|
||||
--primary-300: #fdba74;
|
||||
--primary-400: #fb923c;
|
||||
--primary-500: #f97316;
|
||||
--primary-600: #ea580c;
|
||||
--primary-700: #c2410c;
|
||||
--primary-800: #9a3412;
|
||||
--primary-900: #7c2d12;
|
||||
--primary-950: #6c2e12;
|
||||
--secondary-50: #eff6ff;
|
||||
--secondary-100: #dbeafe;
|
||||
--secondary-200: #bfdbfe;
|
||||
--secondary-300: #93c5fd;
|
||||
--secondary-400: #60a5fa;
|
||||
--secondary-500: #3b82f6;
|
||||
--secondary-600: #2563eb;
|
||||
--secondary-700: #1d4ed8;
|
||||
--secondary-800: #1e40af;
|
||||
--secondary-900: #1e3a8a;
|
||||
--secondary-950: #1d3660;
|
||||
--neutral-50: #f0f0f0;
|
||||
--neutral-100: #e0e0e0;
|
||||
--neutral-200: #d0d0d0;
|
||||
--neutral-300: #b0b0b0;
|
||||
--neutral-400: #909090;
|
||||
--neutral-500: #707070;
|
||||
--neutral-600: #606060;
|
||||
--neutral-700: #404040;
|
||||
--neutral-800: #333333;
|
||||
--neutral-900: #111827;
|
||||
--neutral-950: #0b0f19;
|
||||
--spacing-xxs: 1px;
|
||||
--spacing-xs: 2px;
|
||||
--spacing-sm: 4px;
|
||||
--spacing-md: 6px;
|
||||
--spacing-lg: 8px;
|
||||
--spacing-xl: 10px;
|
||||
--spacing-xxl: 18px;
|
||||
--radius-xxs: 0;
|
||||
--radius-xs: 0;
|
||||
--radius-sm: 0;
|
||||
--radius-md: 0;
|
||||
--radius-lg: 0;
|
||||
--radius-xl: 0;
|
||||
--radius-xxl: 0;
|
||||
--text-xxs: 9px;
|
||||
--text-xs: 10px;
|
||||
--text-sm: 12px;
|
||||
--text-md: 14px;
|
||||
--text-lg: 16px;
|
||||
--text-xl: 22px;
|
||||
--text-xxl: 26px;
|
||||
--font: 'Source Sans Pro', 'ui-sans-serif', 'system-ui', sans-serif;
|
||||
--font-mono: 'IBM Plex Mono', 'ui-monospace', 'Consolas', monospace;
|
||||
--body-text-size: var(--text-md);
|
||||
--body-text-weight: 400;
|
||||
--embed-radius: var(--radius-lg);
|
||||
--color-accent: var(--primary-500);
|
||||
--shadow-drop: rgba(0,0,0,0.05) 0px 1px 2px 0px;
|
||||
--shadow-drop-lg: 0 1px 3px 0 rgb(0 0 0 / 0.1), 0 1px 2px -1px rgb(0 0 0 / 0.1);
|
||||
--shadow-inset: rgba(0,0,0,0.05) 0px 2px 4px 0px inset;
|
||||
--block-border-width: 1px;
|
||||
--block-info-text-size: var(--text-sm);
|
||||
--block-info-text-weight: 400;
|
||||
--block-label-border-width: 1px;
|
||||
--block-label-margin: 0;
|
||||
--block-label-padding: var(--spacing-sm) var(--spacing-lg);
|
||||
--block-label-radius: calc(var(--radius-lg) - 1px) 0 calc(var(--radius-lg) - 1px) 0;
|
||||
--block-label-right-radius: 0 calc(var(--radius-lg) - 1px) 0 calc(var(--radius-lg) - 1px);
|
||||
--block-label-text-size: var(--text-sm);
|
||||
--block-label-text-weight: 400;
|
||||
--block-padding: var(--spacing-xl) calc(var(--spacing-xl) + 2px);
|
||||
--block-radius: var(--radius-lg);
|
||||
--block-shadow: var(--shadow-drop);
|
||||
--block-title-background-fill: none;
|
||||
--block-title-border-color: none;
|
||||
--block-title-border-width: 0px;
|
||||
--block-title-padding: 0;
|
||||
--block-title-radius: none;
|
||||
--block-title-text-size: var(--text-md);
|
||||
--block-title-text-weight: 400;
|
||||
--container-radius: var(--radius-lg);
|
||||
--form-gap-width: 1px;
|
||||
--layout-gap: var(--spacing-xxl);
|
||||
--panel-border-width: 0;
|
||||
--section-header-text-size: var(--text-md);
|
||||
--section-header-text-weight: 400;
|
||||
--checkbox-border-radius: var(--radius-sm);
|
||||
--checkbox-label-gap: var(--spacing-lg);
|
||||
--checkbox-label-padding: var(--spacing-md) calc(2 * var(--spacing-md));
|
||||
--checkbox-label-shadow: var(--shadow-drop);
|
||||
--checkbox-label-text-size: var(--text-md);
|
||||
--checkbox-label-text-weight: 400;
|
||||
--checkbox-check: url("data:image/svg+xml,%3csvg viewBox='0 0 16 16' fill='white' xmlns='http://www.w3.org/2000/svg'%3e%3cpath d='M12.207 4.793a1 1 0 010 1.414l-5 5a1 1 0 01-1.414 0l-2-2a1 1 0 011.414-1.414L6.5 9.086l4.293-4.293a1 1 0 011.414 0z'/%3e%3c/svg%3e");
|
||||
--radio-circle: url("data:image/svg+xml,%3csvg viewBox='0 0 16 16' fill='white' xmlns='http://www.w3.org/2000/svg'%3e%3ccircle cx='8' cy='8' r='3'/%3e%3c/svg%3e");
|
||||
--checkbox-shadow: var(--input-shadow);
|
||||
--error-border-width: 1px;
|
||||
--input-border-width: 0;
|
||||
--input-padding: var(--spacing-xl);
|
||||
--input-radius: var(--radius-lg);
|
||||
--input-shadow: 0 0 0 var(--shadow-spread) transparent, var(--shadow-inset);
|
||||
--input-text-size: var(--text-md);
|
||||
--input-text-weight: 400;
|
||||
--loader-color: var(--color-accent);
|
||||
--prose-text-size: var(--text-md);
|
||||
--prose-text-weight: 400;
|
||||
--prose-header-text-weight: 600;
|
||||
--slider-color: ;
|
||||
--table-radius: var(--radius-lg);
|
||||
--button-large-padding: var(--spacing-lg) calc(2 * var(--spacing-lg));
|
||||
--button-large-radius: var(--radius-lg);
|
||||
--button-large-text-size: var(--text-lg);
|
||||
--button-large-text-weight: 600;
|
||||
--button-shadow: var(--shadow-drop);
|
||||
--button-shadow-active: var(--shadow-inset);
|
||||
--button-shadow-hover: var(--shadow-drop-lg);
|
||||
--button-small-padding: var(--spacing-sm) calc(2 * var(--spacing-sm));
|
||||
--button-small-radius: var(--radius-lg);
|
||||
--button-small-text-size: var(--text-md);
|
||||
--button-small-text-weight: 400;
|
||||
--button-transition: none;
|
||||
}
|
||||
|
||||
@@ -19,8 +19,10 @@ from modules import paths, timer, import_hook, errors
|
||||
startup_timer = timer.Timer()
|
||||
|
||||
import torch
|
||||
import torchvision
|
||||
import pytorch_lightning # pytorch_lightning should be imported after torch, but it re-enables warnings on import so import once to disable them
|
||||
warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")
|
||||
warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")
|
||||
startup_timer.record("import torch")
|
||||
|
||||
import gradio
|
||||
|
||||
Reference in New Issue
Block a user