Add files using upload-large-folder tool

.venv-backups/25365439/venv-main-2025-08-28-0900.txt

@@ -0,0 +1,173 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
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+colour-science==0.4.6
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+comm==0.2.2
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+greenlet==3.2.3
+h11==0.16.0
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.venv-backups/25365439/venv-main-2025-08-28-1130.txt

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+aiohappyeyeballs==2.6.1
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.venv-backups/25365439/venv-main-2025-08-28-1300.txt

@@ -0,0 +1,173 @@
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.venv-backups/25365439/venv-main-2025-08-28-1330.txt

@@ -0,0 +1,173 @@
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+pure_eval==0.2.3
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+pydantic==2.11.7
+pydantic-settings==2.10.1
+pydantic_core==2.33.2
+PyGithub==2.7.0
+Pygments==2.19.2
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+pyparsing==3.2.3
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+python-dateutil==2.9.0.post0
+python-dotenv==1.1.1
+python-socks==2.7.1
+PyWavelets==1.9.0
+PyYAML==6.0.2
+pyzmq==27.0.0
+referencing==0.36.2
+regex==2025.7.34
+rembg==2.0.67
+requests==2.32.4
+rich==14.1.0
+rpds-py==0.26.0
+safetensors==0.5.3
+scikit-image==0.25.2
+scipy==1.16.1
+sentencepiece==0.2.0
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+shellingham==1.5.4
+simsimd==6.5.0
+six==1.17.0
+smmap==5.0.2
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+stack-data==0.6.3
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+tifffile==2025.6.11
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+torch==2.7.1+cu128
+torchaudio==2.7.1+cu128
+torchsde==0.2.6
+torchvision==0.22.1+cu128
+tornado==6.5.1
+tqdm==4.67.1
+traitlets==5.14.3
+trampoline==0.1.2
+transformers==4.54.1
+transparent-background==1.3.4
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+uv==0.8.4
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+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25468028/backup.log

@@ -0,0 +1,3 @@
+[2025-08-30 08:52:37] Processing virtual environment: /venv/main
+[2025-08-30 08:52:38] SUCCESS: Created backup at /workspace/.venv-backups/25468028/venv-main-2025-08-30-0852.txt
+[2025-08-30 08:52:38] Backup process completed

.venv-backups/25468028/venv-main-2025-08-30-0852.txt

@@ -0,0 +1,165 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
+aiohttp_socks==0.10.1
+aiosignal==1.4.0
+albucore==0.0.24
+albumentations==2.0.8
+alembic==1.16.4
+annotated-types==0.7.0
+asttokens==3.0.0
+attrs==25.3.0
+av==15.0.0
+beautifulsoup4==4.13.4
+certifi==2025.6.15
+cffi==1.17.1
+chardet==5.2.0
+charset-normalizer==3.4.2
+click==8.2.1
+colour-science==0.4.6
+comfyui-embedded-docs==0.2.4
+comfyui_frontend_package==1.23.4
+comfyui_workflow_templates==0.1.41
+comm==0.2.2
+cryptography==45.0.5
+debugpy==1.8.14
+decorator==5.2.1
+easydict==1.13
+einops==0.8.1
+executing==2.2.0
+filelock==3.18.0
+frozenlist==1.7.0
+fsspec==2025.5.1
+gdown==5.2.0
+gitdb==4.0.12
+GitPython==3.1.45
+greenlet==3.2.3
+h11==0.16.0
+h2==4.2.0
+hf-xet==1.1.5
+hpack==4.1.0
+huggingface-hub==0.34.3
+hyperframe==6.1.0
+idna==3.10
+imageio==2.37.0
+inquirerpy==0.3.4
+ipykernel==6.29.5
+ipython==9.3.0
+ipython_pygments_lexers==1.1.1
+ipywidgets==8.1.7
+jedi==0.19.2
+Jinja2==3.1.4
+jsonschema==4.25.0
+jsonschema-specifications==2025.4.1
+jupyter_client==8.6.3
+jupyter_core==5.8.1
+jupyterlab_widgets==3.0.15
+kornia==0.8.1
+kornia_rs==0.1.9
+lazy_loader==0.4
+llvmlite==0.44.0
+Mako==1.3.10
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+matplotlib-inline==0.1.7
+matrix-nio==0.25.2
+mdurl==0.1.2
+mpmath==1.3.0
+multidict==6.6.3
+nest-asyncio==1.6.0
+networkx==3.3
+numba==0.61.2
+numpy==2.1.2
+nvidia-cublas-cu12==12.8.3.14
+nvidia-cuda-cupti-cu12==12.8.57
+nvidia-cuda-nvrtc-cu12==12.8.61
+nvidia-cuda-runtime-cu12==12.8.57
+nvidia-cudnn-cu12==9.7.1.26
+nvidia-cufft-cu12==11.3.3.41
+nvidia-cufile-cu12==1.13.0.11
+nvidia-curand-cu12==10.3.9.55
+nvidia-cusolver-cu12==11.7.2.55
+nvidia-cusparse-cu12==12.5.7.53
+nvidia-cusparselt-cu12==0.6.3
+nvidia-nccl-cu12==2.26.2
+nvidia-nvjitlink-cu12==12.8.61
+nvidia-nvtx-cu12==12.8.55
+opencv-python==4.12.0.88
+opencv-python-headless==4.12.0.88
+packaging==25.0
+parso==0.8.4
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+pfzy==0.3.4
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+pixeloe==0.1.4
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+pydantic==2.11.7
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+pydantic_core==2.33.2
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+python-dateutil==2.9.0.post0
+python-dotenv==1.1.1
+python-socks==2.7.1
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+pyzmq==27.0.0
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+regex==2025.7.34
+rembg==2.0.67
+requests==2.32.4
+rich==14.1.0
+rpds-py==0.26.0
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+sympy==1.13.3
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+torch==2.7.1+cu128
+torchaudio==2.7.1+cu128
+torchsde==0.2.6
+torchvision==0.22.1+cu128
+tornado==6.5.1
+tqdm==4.67.1
+traitlets==5.14.3
+trampoline==0.1.2
+transformers==4.54.1
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+typing-inspection==0.4.1
+typing_extensions==4.14.0
+unpaddedbase64==2.1.0
+urllib3==2.5.0
+uv==0.8.4
+wcwidth==0.2.13
+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25474989/backup.log

@@ -0,0 +1,12 @@
+[2025-08-30 14:37:04] Processing virtual environment: /venv/main
+[2025-08-30 14:37:04] SUCCESS: Created backup at /workspace/.venv-backups/25474989/venv-main-2025-08-30-1437.txt
+[2025-08-30 14:37:04] Backup process completed
+[2025-08-30 15:30:01] Processing virtual environment: /venv/main
+[2025-08-30 15:30:01] SUCCESS: Created backup at /workspace/.venv-backups/25474989/venv-main-2025-08-30-1530.txt
+[2025-08-30 15:30:02] Backup process completed
+[2025-08-30 16:00:01] Processing virtual environment: /venv/main
+[2025-08-30 16:00:02] SUCCESS: Created backup at /workspace/.venv-backups/25474989/venv-main-2025-08-30-1600.txt
+[2025-08-30 16:00:02] Backup process completed
+[2025-08-30 17:30:01] Processing virtual environment: /venv/main
+[2025-08-30 17:30:01] SUCCESS: Created backup at /workspace/.venv-backups/25474989/venv-main-2025-08-30-1730.txt
+[2025-08-30 17:30:01] Backup process completed

.venv-backups/25474989/venv-main-2025-08-30-1530.txt

@@ -0,0 +1,173 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
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+alembic==1.16.4
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+cffi==1.17.1
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+charset-normalizer==3.4.2
+click==8.2.1
+colour-science==0.4.6
+comfyui-embedded-docs==0.2.4
+comfyui_frontend_package==1.23.4
+comfyui_workflow_templates==0.1.41
+comm==0.2.2
+contourpy==1.3.3
+cryptography==45.0.5
+cycler==0.12.1
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+decorator==5.2.1
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+fonttools==4.59.2
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+gdown==5.2.0
+gitdb==4.0.12
+GitPython==3.1.45
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+h2==4.2.0
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+hyperframe==6.1.0
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+inquirerpy==0.3.4
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+ipython==9.3.0
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.venv-backups/25474989/venv-main-2025-08-30-1600.txt

@@ -0,0 +1,173 @@
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.venv-backups/25474989/venv-main-2025-08-30-1730.txt

@@ -0,0 +1,173 @@
+aiofiles==24.1.0
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+aiohttp==3.12.15
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+av==15.0.0
+beautifulsoup4==4.13.4
+certifi==2025.6.15
+cffi==1.17.1
+chardet==5.2.0
+charset-normalizer==3.4.2
+click==8.2.1
+colour-science==0.4.6
+comfyui-embedded-docs==0.2.4
+comfyui_frontend_package==1.23.4
+comfyui_workflow_templates==0.1.41
+comm==0.2.2
+contourpy==1.3.3
+cryptography==45.0.5
+cycler==0.12.1
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+filelock==3.18.0
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+frozenlist==1.7.0
+fsspec==2025.5.1
+gdown==5.2.0
+gitdb==4.0.12
+GitPython==3.1.45
+greenlet==3.2.3
+h11==0.16.0
+h2==4.2.0
+hf-xet==1.1.5
+hpack==4.1.0
+huggingface-hub==0.34.3
+hyperframe==6.1.0
+idna==3.10
+imageio==2.37.0
+inquirerpy==0.3.4
+ipykernel==6.29.5
+ipython==9.3.0
+ipython_pygments_lexers==1.1.1
+ipywidgets==8.1.7
+jedi==0.19.2
+Jinja2==3.1.4
+jsonschema==4.25.0
+jsonschema-specifications==2025.4.1
+jupyter_client==8.6.3
+jupyter_core==5.8.1
+jupyterlab_widgets==3.0.15
+kiwisolver==1.4.9
+kornia==0.8.1
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+lazy_loader==0.4
+llvmlite==0.44.0
+Mako==1.3.10
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+matplotlib==3.10.6
+matplotlib-inline==0.1.7
+matrix-nio==0.25.2
+mdurl==0.1.2
+mpmath==1.3.0
+multidict==6.6.3
+nest-asyncio==1.6.0
+networkx==3.3
+numba==0.61.2
+numpy==2.1.2
+nvidia-cublas-cu12==12.8.3.14
+nvidia-cuda-cupti-cu12==12.8.57
+nvidia-cuda-nvrtc-cu12==12.8.61
+nvidia-cuda-runtime-cu12==12.8.57
+nvidia-cudnn-cu12==9.7.1.26
+nvidia-cufft-cu12==11.3.3.41
+nvidia-cufile-cu12==1.13.0.11
+nvidia-curand-cu12==10.3.9.55
+nvidia-cusolver-cu12==11.7.2.55
+nvidia-cusparse-cu12==12.5.7.53
+nvidia-cusparselt-cu12==0.6.3
+nvidia-nccl-cu12==2.26.2
+nvidia-nvjitlink-cu12==12.8.61
+nvidia-nvtx-cu12==12.8.55
+opencv-python==4.12.0.88
+opencv-python-headless==4.12.0.88
+packaging==25.0
+parso==0.8.4
+pexpect==4.9.0
+pfzy==0.3.4
+piexif==1.1.3
+pillow==11.0.0
+pixeloe==0.1.4
+platformdirs==4.3.8
+pooch==1.8.2
+prompt_toolkit==3.0.51
+propcache==0.3.2
+psutil==7.0.0
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pycparser==2.22
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+pydantic==2.11.7
+pydantic-settings==2.10.1
+pydantic_core==2.33.2
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+PyMatting==1.1.14
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+pyparsing==3.2.3
+PySocks==1.7.1
+python-dateutil==2.9.0.post0
+python-dotenv==1.1.1
+python-socks==2.7.1
+PyWavelets==1.9.0
+PyYAML==6.0.2
+pyzmq==27.0.0
+referencing==0.36.2
+regex==2025.7.34
+rembg==2.0.67
+requests==2.32.4
+rich==14.1.0
+rpds-py==0.26.0
+safetensors==0.5.3
+scikit-image==0.25.2
+scipy==1.16.1
+sentencepiece==0.2.0
+setuptools==80.9.0
+shellingham==1.5.4
+simsimd==6.5.0
+six==1.17.0
+smmap==5.0.2
+soundfile==0.13.1
+soupsieve==2.7
+spandrel==0.4.1
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+sympy==1.13.3
+tifffile==2025.6.11
+timm==1.0.19
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+toml==0.10.2
+torch==2.7.1+cu128
+torchaudio==2.7.1+cu128
+torchsde==0.2.6
+torchvision==0.22.1+cu128
+tornado==6.5.1
+tqdm==4.67.1
+traitlets==5.14.3
+trampoline==0.1.2
+transformers==4.54.1
+transparent-background==1.3.4
+triton==3.3.1
+typer==0.16.0
+typing-inspection==0.4.1
+typing_extensions==4.14.0
+unpaddedbase64==2.1.0
+urllib3==2.5.0
+uv==0.8.4
+wcwidth==0.2.13
+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25478920/backup.log

@@ -0,0 +1,63 @@
+[2025-08-30 17:53:15] Processing virtual environment: /venv/main
+[2025-08-30 17:53:15] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-30-1753.txt
+[2025-08-30 17:53:16] Backup process completed
+[2025-08-30 19:00:01] Processing virtual environment: /venv/main
+[2025-08-30 19:00:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-30-1900.txt
+[2025-08-30 19:00:01] Backup process completed
+[2025-08-30 22:30:01] Processing virtual environment: /venv/main
+[2025-08-30 22:30:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-30-2230.txt
+[2025-08-30 22:30:01] Backup process completed
+[2025-08-30 23:00:01] Processing virtual environment: /venv/main
+[2025-08-30 23:00:02] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-30-2300.txt
+[2025-08-30 23:00:02] Backup process completed
+[2025-08-30 23:30:01] Processing virtual environment: /venv/main
+[2025-08-30 23:30:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-30-2330.txt
+[2025-08-30 23:30:01] Backup process completed
+[2025-08-31 00:00:01] Processing virtual environment: /venv/main
+[2025-08-31 00:00:02] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0000.txt
+[2025-08-31 00:00:02] Backup process completed
+[2025-08-31 00:30:01] Processing virtual environment: /venv/main
+[2025-08-31 00:30:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0030.txt
+[2025-08-31 00:30:01] Backup process completed
+[2025-08-31 01:00:01] Processing virtual environment: /venv/main
+[2025-08-31 01:00:02] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0100.txt
+[2025-08-31 01:00:02] Backup process completed
+[2025-08-31 01:30:01] Processing virtual environment: /venv/main
+[2025-08-31 01:30:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0130.txt
+[2025-08-31 01:30:01] Backup process completed
+[2025-08-31 02:00:01] Processing virtual environment: /venv/main
+[2025-08-31 02:00:02] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0200.txt
+[2025-08-31 02:00:02] Backup process completed
+[2025-08-31 02:30:01] Processing virtual environment: /venv/main
+[2025-08-31 02:30:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0230.txt
+[2025-08-31 02:30:01] Backup process completed
+[2025-08-31 03:00:01] Processing virtual environment: /venv/main
+[2025-08-31 03:00:02] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0300.txt
+[2025-08-31 03:00:02] Backup process completed
+[2025-08-31 03:30:01] Processing virtual environment: /venv/main
+[2025-08-31 03:30:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0330.txt
+[2025-08-31 03:30:01] Backup process completed
+[2025-08-31 04:00:01] Processing virtual environment: /venv/main
+[2025-08-31 04:00:02] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0400.txt
+[2025-08-31 04:00:02] Backup process completed
+[2025-08-31 04:30:01] Processing virtual environment: /venv/main
+[2025-08-31 04:30:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0430.txt
+[2025-08-31 04:30:02] Backup process completed
+[2025-08-31 05:00:01] Processing virtual environment: /venv/main
+[2025-08-31 05:00:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0500.txt
+[2025-08-31 05:00:01] Backup process completed
+[2025-08-31 05:30:01] Processing virtual environment: /venv/main
+[2025-08-31 05:30:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0530.txt
+[2025-08-31 05:30:02] Backup process completed
+[2025-08-31 06:00:01] Processing virtual environment: /venv/main
+[2025-08-31 06:00:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0600.txt
+[2025-08-31 06:00:01] Backup process completed
+[2025-08-31 06:30:01] Processing virtual environment: /venv/main
+[2025-08-31 06:30:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-08-31-0630.txt
+[2025-08-31 06:30:02] Backup process completed
+[2025-09-03 07:00:01] Processing virtual environment: /venv/main
+[2025-09-03 07:00:02] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-09-03-0700.txt
+[2025-09-03 07:00:02] Backup process completed
+[2025-09-03 08:00:01] Processing virtual environment: /venv/main
+[2025-09-03 08:00:01] SUCCESS: Created backup at /workspace/.venv-backups/25478920/venv-main-2025-09-03-0800.txt
+[2025-09-03 08:00:02] Backup process completed

.venv-backups/25478920/venv-main-2025-08-30-1753.txt

@@ -0,0 +1,165 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
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+comm==0.2.2
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+widgetsnbextension==4.0.14
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.venv-backups/25478920/venv-main-2025-08-30-1900.txt

@@ -0,0 +1,173 @@
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+toml==0.10.2
+torch==2.7.1+cu128
+torchaudio==2.7.1+cu128
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+tornado==6.5.1
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+traitlets==5.14.3
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+transformers==4.54.1
+transparent-background==1.3.4
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+typing-inspection==0.4.1
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+uv==0.8.4
+wcwidth==0.2.13
+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25478920/venv-main-2025-08-30-2230.txt

@@ -0,0 +1,173 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
+aiohttp_socks==0.10.1
+aiosignal==1.4.0
+albucore==0.0.24
+albumentations==2.0.8
+alembic==1.16.4
+annotated-types==0.7.0
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+attrs==25.3.0
+av==15.0.0
+beautifulsoup4==4.13.4
+certifi==2025.6.15
+cffi==1.17.1
+chardet==5.2.0
+charset-normalizer==3.4.2
+click==8.2.1
+colour-science==0.4.6
+comfyui-embedded-docs==0.2.4
+comfyui_frontend_package==1.23.4
+comfyui_workflow_templates==0.1.41
+comm==0.2.2
+contourpy==1.3.3
+cryptography==45.0.5
+cycler==0.12.1
+debugpy==1.8.14
+decorator==5.2.1
+easydict==1.13
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+executing==2.2.0
+filelock==3.18.0
+fonttools==4.59.2
+frozenlist==1.7.0
+fsspec==2025.5.1
+gdown==5.2.0
+gitdb==4.0.12
+GitPython==3.1.45
+greenlet==3.2.3
+h11==0.16.0
+h2==4.2.0
+hf-xet==1.1.5
+hpack==4.1.0
+huggingface-hub==0.34.3
+hyperframe==6.1.0
+idna==3.10
+imageio==2.37.0
+inquirerpy==0.3.4
+ipykernel==6.29.5
+ipython==9.3.0
+ipython_pygments_lexers==1.1.1
+ipywidgets==8.1.7
+jedi==0.19.2
+Jinja2==3.1.4
+jsonschema==4.25.0
+jsonschema-specifications==2025.4.1
+jupyter_client==8.6.3
+jupyter_core==5.8.1
+jupyterlab_widgets==3.0.15
+kiwisolver==1.4.9
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+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+matplotlib==3.10.6
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+numba==0.61.2
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+nvidia-cublas-cu12==12.8.3.14
+nvidia-cuda-cupti-cu12==12.8.57
+nvidia-cuda-nvrtc-cu12==12.8.61
+nvidia-cuda-runtime-cu12==12.8.57
+nvidia-cudnn-cu12==9.7.1.26
+nvidia-cufft-cu12==11.3.3.41
+nvidia-cufile-cu12==1.13.0.11
+nvidia-curand-cu12==10.3.9.55
+nvidia-cusolver-cu12==11.7.2.55
+nvidia-cusparse-cu12==12.5.7.53
+nvidia-cusparselt-cu12==0.6.3
+nvidia-nccl-cu12==2.26.2
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+nvidia-nvtx-cu12==12.8.55
+opencv-python==4.12.0.88
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+torch==2.7.1+cu128
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+uv==0.8.4
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+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25478920/venv-main-2025-08-30-2300.txt

@@ -0,0 +1,173 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
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+alembic==1.16.4
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+cffi==1.17.1
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+charset-normalizer==3.4.2
+click==8.2.1
+colour-science==0.4.6
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+comm==0.2.2
+contourpy==1.3.3
+cryptography==45.0.5
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+fsspec==2025.5.1
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+GitPython==3.1.45
+greenlet==3.2.3
+h11==0.16.0
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+ipython==9.3.0
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+jupyter_client==8.6.3
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+nvidia-cufile-cu12==1.13.0.11
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.venv-backups/25478920/venv-main-2025-08-30-2330.txt

@@ -0,0 +1,173 @@
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+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
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.venv-backups/25478920/venv-main-2025-08-31-0000.txt

@@ -0,0 +1,173 @@
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+nvidia-cuda-nvrtc-cu12==12.8.61
+nvidia-cuda-runtime-cu12==12.8.57
+nvidia-cudnn-cu12==9.7.1.26
+nvidia-cufft-cu12==11.3.3.41
+nvidia-cufile-cu12==1.13.0.11
+nvidia-curand-cu12==10.3.9.55
+nvidia-cusolver-cu12==11.7.2.55
+nvidia-cusparse-cu12==12.5.7.53
+nvidia-cusparselt-cu12==0.6.3
+nvidia-nccl-cu12==2.26.2
+nvidia-nvjitlink-cu12==12.8.61
+nvidia-nvtx-cu12==12.8.55
+opencv-python==4.12.0.88
+opencv-python-headless==4.12.0.88
+packaging==25.0
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+pycparser==2.22
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+pydantic-settings==2.10.1
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+python-dateutil==2.9.0.post0
+python-dotenv==1.1.1
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+torch==2.7.1+cu128
+torchaudio==2.7.1+cu128
+torchsde==0.2.6
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+tornado==6.5.1
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+traitlets==5.14.3
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+transparent-background==1.3.4
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+wcwidth==0.2.13
+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25478920/venv-main-2025-08-31-0030.txt

@@ -0,0 +1,173 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
+aiohttp_socks==0.10.1
+aiosignal==1.4.0
+albucore==0.0.24
+albumentations==2.0.8
+alembic==1.16.4
+annotated-types==0.7.0
+asttokens==3.0.0
+attrs==25.3.0
+av==15.0.0
+beautifulsoup4==4.13.4
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+cffi==1.17.1
+chardet==5.2.0
+charset-normalizer==3.4.2
+click==8.2.1
+colour-science==0.4.6
+comfyui-embedded-docs==0.2.4
+comfyui_frontend_package==1.23.4
+comfyui_workflow_templates==0.1.41
+comm==0.2.2
+contourpy==1.3.3
+cryptography==45.0.5
+cycler==0.12.1
+debugpy==1.8.14
+decorator==5.2.1
+easydict==1.13
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+executing==2.2.0
+filelock==3.18.0
+fonttools==4.59.2
+frozenlist==1.7.0
+fsspec==2025.5.1
+gdown==5.2.0
+gitdb==4.0.12
+GitPython==3.1.45
+greenlet==3.2.3
+h11==0.16.0
+h2==4.2.0
+hf-xet==1.1.5
+hpack==4.1.0
+huggingface-hub==0.34.3
+hyperframe==6.1.0
+idna==3.10
+imageio==2.37.0
+inquirerpy==0.3.4
+ipykernel==6.29.5
+ipython==9.3.0
+ipython_pygments_lexers==1.1.1
+ipywidgets==8.1.7
+jedi==0.19.2
+Jinja2==3.1.4
+jsonschema==4.25.0
+jsonschema-specifications==2025.4.1
+jupyter_client==8.6.3
+jupyter_core==5.8.1
+jupyterlab_widgets==3.0.15
+kiwisolver==1.4.9
+kornia==0.8.1
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+llvmlite==0.44.0
+Mako==1.3.10
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+matplotlib==3.10.6
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+nvidia-cublas-cu12==12.8.3.14
+nvidia-cuda-cupti-cu12==12.8.57
+nvidia-cuda-nvrtc-cu12==12.8.61
+nvidia-cuda-runtime-cu12==12.8.57
+nvidia-cudnn-cu12==9.7.1.26
+nvidia-cufft-cu12==11.3.3.41
+nvidia-cufile-cu12==1.13.0.11
+nvidia-curand-cu12==10.3.9.55
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+nvidia-cusparselt-cu12==0.6.3
+nvidia-nccl-cu12==2.26.2
+nvidia-nvjitlink-cu12==12.8.61
+nvidia-nvtx-cu12==12.8.55
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+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25478920/venv-main-2025-08-31-0100.txt

@@ -0,0 +1,173 @@
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+aiohappyeyeballs==2.6.1
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+charset-normalizer==3.4.2
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+contourpy==1.3.3
+cryptography==45.0.5
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+decorator==5.2.1
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+h11==0.16.0
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.venv-backups/25478920/venv-main-2025-08-31-0130.txt

@@ -0,0 +1,173 @@
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.venv-backups/25478920/venv-main-2025-08-31-0200.txt

@@ -0,0 +1,173 @@
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+h11==0.16.0
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+jsonschema-specifications==2025.4.1
+jupyter_client==8.6.3
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+nvidia-cufile-cu12==1.13.0.11
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+nvidia-nccl-cu12==2.26.2
+nvidia-nvjitlink-cu12==12.8.61
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+opencv-python==4.12.0.88
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+torch==2.7.1+cu128
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+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25478920/venv-main-2025-08-31-0230.txt

@@ -0,0 +1,173 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
+aiohttp_socks==0.10.1
+aiosignal==1.4.0
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+alembic==1.16.4
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+cffi==1.17.1
+chardet==5.2.0
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+click==8.2.1
+colour-science==0.4.6
+comfyui-embedded-docs==0.2.4
+comfyui_frontend_package==1.23.4
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+comm==0.2.2
+contourpy==1.3.3
+cryptography==45.0.5
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+debugpy==1.8.14
+decorator==5.2.1
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+gdown==5.2.0
+gitdb==4.0.12
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+greenlet==3.2.3
+h11==0.16.0
+h2==4.2.0
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+idna==3.10
+imageio==2.37.0
+inquirerpy==0.3.4
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+ipython==9.3.0
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+jupyter_client==8.6.3
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.venv-backups/25478920/venv-main-2025-08-31-0300.txt

@@ -0,0 +1,173 @@
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.venv-backups/25478920/venv-main-2025-08-31-0330.txt

@@ -0,0 +1,173 @@
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+python-dotenv==1.1.1
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+toml==0.10.2
+torch==2.7.1+cu128
+torchaudio==2.7.1+cu128
+torchsde==0.2.6
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+tornado==6.5.1
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+traitlets==5.14.3
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+transformers==4.54.1
+transparent-background==1.3.4
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+uv==0.8.4
+wcwidth==0.2.13
+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25478920/venv-main-2025-08-31-0400.txt

@@ -0,0 +1,173 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
+aiohttp_socks==0.10.1
+aiosignal==1.4.0
+albucore==0.0.24
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+alembic==1.16.4
+annotated-types==0.7.0
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+attrs==25.3.0
+av==15.0.0
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+certifi==2025.6.15
+cffi==1.17.1
+chardet==5.2.0
+charset-normalizer==3.4.2
+click==8.2.1
+colour-science==0.4.6
+comfyui-embedded-docs==0.2.4
+comfyui_frontend_package==1.23.4
+comfyui_workflow_templates==0.1.41
+comm==0.2.2
+contourpy==1.3.3
+cryptography==45.0.5
+cycler==0.12.1
+debugpy==1.8.14
+decorator==5.2.1
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+executing==2.2.0
+filelock==3.18.0
+fonttools==4.59.2
+frozenlist==1.7.0
+fsspec==2025.5.1
+gdown==5.2.0
+gitdb==4.0.12
+GitPython==3.1.45
+greenlet==3.2.3
+h11==0.16.0
+h2==4.2.0
+hf-xet==1.1.5
+hpack==4.1.0
+huggingface-hub==0.34.3
+hyperframe==6.1.0
+idna==3.10
+imageio==2.37.0
+inquirerpy==0.3.4
+ipykernel==6.29.5
+ipython==9.3.0
+ipython_pygments_lexers==1.1.1
+ipywidgets==8.1.7
+jedi==0.19.2
+Jinja2==3.1.4
+jsonschema==4.25.0
+jsonschema-specifications==2025.4.1
+jupyter_client==8.6.3
+jupyter_core==5.8.1
+jupyterlab_widgets==3.0.15
+kiwisolver==1.4.9
+kornia==0.8.1
+kornia_rs==0.1.9
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+llvmlite==0.44.0
+Mako==1.3.10
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+matplotlib==3.10.6
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+numba==0.61.2
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+nvidia-cublas-cu12==12.8.3.14
+nvidia-cuda-cupti-cu12==12.8.57
+nvidia-cuda-nvrtc-cu12==12.8.61
+nvidia-cuda-runtime-cu12==12.8.57
+nvidia-cudnn-cu12==9.7.1.26
+nvidia-cufft-cu12==11.3.3.41
+nvidia-cufile-cu12==1.13.0.11
+nvidia-curand-cu12==10.3.9.55
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+nvidia-cusparse-cu12==12.5.7.53
+nvidia-cusparselt-cu12==0.6.3
+nvidia-nccl-cu12==2.26.2
+nvidia-nvjitlink-cu12==12.8.61
+nvidia-nvtx-cu12==12.8.55
+opencv-python==4.12.0.88
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+uv==0.8.4
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+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25478920/venv-main-2025-08-31-0430.txt

@@ -0,0 +1,173 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
+aiohttp_socks==0.10.1
+aiosignal==1.4.0
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+alembic==1.16.4
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+cffi==1.17.1
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+charset-normalizer==3.4.2
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+colour-science==0.4.6
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+comm==0.2.2
+contourpy==1.3.3
+cryptography==45.0.5
+cycler==0.12.1
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+decorator==5.2.1
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+gdown==5.2.0
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+h11==0.16.0
+h2==4.2.0
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+idna==3.10
+imageio==2.37.0
+inquirerpy==0.3.4
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+ipython==9.3.0
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+jupyter_client==8.6.3
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+markdown-it-py==3.0.0
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.venv-backups/25478920/venv-main-2025-08-31-0500.txt

@@ -0,0 +1,173 @@
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.venv-backups/25478920/venv-main-2025-08-31-0530.txt

@@ -0,0 +1,173 @@
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+aiohappyeyeballs==2.6.1
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+numba==0.61.2
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+nvidia-cublas-cu12==12.8.3.14
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+nvidia-cuda-nvrtc-cu12==12.8.61
+nvidia-cuda-runtime-cu12==12.8.57
+nvidia-cudnn-cu12==9.7.1.26
+nvidia-cufft-cu12==11.3.3.41
+nvidia-cufile-cu12==1.13.0.11
+nvidia-curand-cu12==10.3.9.55
+nvidia-cusolver-cu12==11.7.2.55
+nvidia-cusparse-cu12==12.5.7.53
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+nvidia-nccl-cu12==2.26.2
+nvidia-nvjitlink-cu12==12.8.61
+nvidia-nvtx-cu12==12.8.55
+opencv-python==4.12.0.88
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+packaging==25.0
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+torch==2.7.1+cu128
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+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25478920/venv-main-2025-08-31-0600.txt

@@ -0,0 +1,173 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
+aiohttp_socks==0.10.1
+aiosignal==1.4.0
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+alembic==1.16.4
+annotated-types==0.7.0
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+av==15.0.0
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+cffi==1.17.1
+chardet==5.2.0
+charset-normalizer==3.4.2
+click==8.2.1
+colour-science==0.4.6
+comfyui-embedded-docs==0.2.4
+comfyui_frontend_package==1.23.4
+comfyui_workflow_templates==0.1.41
+comm==0.2.2
+contourpy==1.3.3
+cryptography==45.0.5
+cycler==0.12.1
+debugpy==1.8.14
+decorator==5.2.1
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+executing==2.2.0
+filelock==3.18.0
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+frozenlist==1.7.0
+fsspec==2025.5.1
+gdown==5.2.0
+gitdb==4.0.12
+GitPython==3.1.45
+greenlet==3.2.3
+h11==0.16.0
+h2==4.2.0
+hf-xet==1.1.5
+hpack==4.1.0
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+hyperframe==6.1.0
+idna==3.10
+imageio==2.37.0
+inquirerpy==0.3.4
+ipykernel==6.29.5
+ipython==9.3.0
+ipython_pygments_lexers==1.1.1
+ipywidgets==8.1.7
+jedi==0.19.2
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+jsonschema==4.25.0
+jsonschema-specifications==2025.4.1
+jupyter_client==8.6.3
+jupyter_core==5.8.1
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+markdown-it-py==3.0.0
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+matplotlib==3.10.6
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+nvidia-cublas-cu12==12.8.3.14
+nvidia-cuda-cupti-cu12==12.8.57
+nvidia-cuda-nvrtc-cu12==12.8.61
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+nvidia-cufft-cu12==11.3.3.41
+nvidia-cufile-cu12==1.13.0.11
+nvidia-curand-cu12==10.3.9.55
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+nvidia-nccl-cu12==2.26.2
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.venv-backups/25478920/venv-main-2025-08-31-0630.txt

@@ -0,0 +1,173 @@
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.venv-backups/25478920/venv-main-2025-09-03-0700.txt

@@ -0,0 +1,173 @@
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+uv==0.8.4
+wcwidth==0.2.13
+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25478920/venv-main-2025-09-03-0800.txt

@@ -0,0 +1,173 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
+aiohttp_socks==0.10.1
+aiosignal==1.4.0
+albucore==0.0.24
+albumentations==2.0.8
+alembic==1.16.4
+annotated-types==0.7.0
+asttokens==3.0.0
+attrs==25.3.0
+av==15.0.0
+beautifulsoup4==4.13.4
+certifi==2025.6.15
+cffi==1.17.1
+chardet==5.2.0
+charset-normalizer==3.4.2
+click==8.2.1
+colour-science==0.4.6
+comfyui-embedded-docs==0.2.4
+comfyui_frontend_package==1.23.4
+comfyui_workflow_templates==0.1.41
+comm==0.2.2
+contourpy==1.3.3
+cryptography==45.0.5
+cycler==0.12.1
+debugpy==1.8.14
+decorator==5.2.1
+easydict==1.13
+einops==0.8.1
+executing==2.2.0
+filelock==3.18.0
+fonttools==4.59.2
+frozenlist==1.7.0
+fsspec==2025.5.1
+gdown==5.2.0
+gitdb==4.0.12
+GitPython==3.1.45
+greenlet==3.2.3
+h11==0.16.0
+h2==4.2.0
+hf-xet==1.1.5
+hpack==4.1.0
+huggingface-hub==0.34.3
+hyperframe==6.1.0
+idna==3.10
+imageio==2.37.0
+inquirerpy==0.3.4
+ipykernel==6.29.5
+ipython==9.3.0
+ipython_pygments_lexers==1.1.1
+ipywidgets==8.1.7
+jedi==0.19.2
+Jinja2==3.1.4
+jsonschema==4.25.0
+jsonschema-specifications==2025.4.1
+jupyter_client==8.6.3
+jupyter_core==5.8.1
+jupyterlab_widgets==3.0.15
+kiwisolver==1.4.9
+kornia==0.8.1
+kornia_rs==0.1.9
+lazy_loader==0.4
+llvmlite==0.44.0
+Mako==1.3.10
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+matplotlib==3.10.6
+matplotlib-inline==0.1.7
+matrix-nio==0.25.2
+mdurl==0.1.2
+mpmath==1.3.0
+multidict==6.6.3
+nest-asyncio==1.6.0
+networkx==3.3
+numba==0.61.2
+numpy==2.1.2
+nvidia-cublas-cu12==12.8.3.14
+nvidia-cuda-cupti-cu12==12.8.57
+nvidia-cuda-nvrtc-cu12==12.8.61
+nvidia-cuda-runtime-cu12==12.8.57
+nvidia-cudnn-cu12==9.7.1.26
+nvidia-cufft-cu12==11.3.3.41
+nvidia-cufile-cu12==1.13.0.11
+nvidia-curand-cu12==10.3.9.55
+nvidia-cusolver-cu12==11.7.2.55
+nvidia-cusparse-cu12==12.5.7.53
+nvidia-cusparselt-cu12==0.6.3
+nvidia-nccl-cu12==2.26.2
+nvidia-nvjitlink-cu12==12.8.61
+nvidia-nvtx-cu12==12.8.55
+opencv-python==4.12.0.88
+opencv-python-headless==4.12.0.88
+packaging==25.0
+parso==0.8.4
+pexpect==4.9.0
+pfzy==0.3.4
+piexif==1.1.3
+pillow==11.0.0
+pixeloe==0.1.4
+platformdirs==4.3.8
+pooch==1.8.2
+prompt_toolkit==3.0.51
+propcache==0.3.2
+psutil==7.0.0
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pycparser==2.22
+pycryptodome==3.23.0
+pydantic==2.11.7
+pydantic-settings==2.10.1
+pydantic_core==2.33.2
+PyGithub==2.7.0
+Pygments==2.19.2
+PyJWT==2.10.1
+PyMatting==1.1.14
+PyNaCl==1.5.0
+pyparsing==3.2.3
+PySocks==1.7.1
+python-dateutil==2.9.0.post0
+python-dotenv==1.1.1
+python-socks==2.7.1
+PyWavelets==1.9.0
+PyYAML==6.0.2
+pyzmq==27.0.0
+referencing==0.36.2
+regex==2025.7.34
+rembg==2.0.67
+requests==2.32.4
+rich==14.1.0
+rpds-py==0.26.0
+safetensors==0.5.3
+scikit-image==0.25.2
+scipy==1.16.1
+sentencepiece==0.2.0
+setuptools==80.9.0
+shellingham==1.5.4
+simsimd==6.5.0
+six==1.17.0
+smmap==5.0.2
+soundfile==0.13.1
+soupsieve==2.7
+spandrel==0.4.1
+SQLAlchemy==2.0.42
+stack-data==0.6.3
+stringzilla==3.12.5
+sympy==1.13.3
+tifffile==2025.6.11
+timm==1.0.19
+tokenizers==0.21.4
+toml==0.10.2
+torch==2.7.1+cu128
+torchaudio==2.7.1+cu128
+torchsde==0.2.6
+torchvision==0.22.1+cu128
+tornado==6.5.1
+tqdm==4.67.1
+traitlets==5.14.3
+trampoline==0.1.2
+transformers==4.54.1
+transparent-background==1.3.4
+triton==3.3.1
+typer==0.16.0
+typing-inspection==0.4.1
+typing_extensions==4.14.0
+unpaddedbase64==2.1.0
+urllib3==2.5.0
+uv==0.8.4
+wcwidth==0.2.13
+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

.venv-backups/25478920/venv-main-latest.txt

@@ -0,0 +1,173 @@
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.12.15
+aiohttp_socks==0.10.1
+aiosignal==1.4.0
+albucore==0.0.24
+albumentations==2.0.8
+alembic==1.16.4
+annotated-types==0.7.0
+asttokens==3.0.0
+attrs==25.3.0
+av==15.0.0
+beautifulsoup4==4.13.4
+certifi==2025.6.15
+cffi==1.17.1
+chardet==5.2.0
+charset-normalizer==3.4.2
+click==8.2.1
+colour-science==0.4.6
+comfyui-embedded-docs==0.2.4
+comfyui_frontend_package==1.23.4
+comfyui_workflow_templates==0.1.41
+comm==0.2.2
+contourpy==1.3.3
+cryptography==45.0.5
+cycler==0.12.1
+debugpy==1.8.14
+decorator==5.2.1
+easydict==1.13
+einops==0.8.1
+executing==2.2.0
+filelock==3.18.0
+fonttools==4.59.2
+frozenlist==1.7.0
+fsspec==2025.5.1
+gdown==5.2.0
+gitdb==4.0.12
+GitPython==3.1.45
+greenlet==3.2.3
+h11==0.16.0
+h2==4.2.0
+hf-xet==1.1.5
+hpack==4.1.0
+huggingface-hub==0.34.3
+hyperframe==6.1.0
+idna==3.10
+imageio==2.37.0
+inquirerpy==0.3.4
+ipykernel==6.29.5
+ipython==9.3.0
+ipython_pygments_lexers==1.1.1
+ipywidgets==8.1.7
+jedi==0.19.2
+Jinja2==3.1.4
+jsonschema==4.25.0
+jsonschema-specifications==2025.4.1
+jupyter_client==8.6.3
+jupyter_core==5.8.1
+jupyterlab_widgets==3.0.15
+kiwisolver==1.4.9
+kornia==0.8.1
+kornia_rs==0.1.9
+lazy_loader==0.4
+llvmlite==0.44.0
+Mako==1.3.10
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+matplotlib==3.10.6
+matplotlib-inline==0.1.7
+matrix-nio==0.25.2
+mdurl==0.1.2
+mpmath==1.3.0
+multidict==6.6.3
+nest-asyncio==1.6.0
+networkx==3.3
+numba==0.61.2
+numpy==2.1.2
+nvidia-cublas-cu12==12.8.3.14
+nvidia-cuda-cupti-cu12==12.8.57
+nvidia-cuda-nvrtc-cu12==12.8.61
+nvidia-cuda-runtime-cu12==12.8.57
+nvidia-cudnn-cu12==9.7.1.26
+nvidia-cufft-cu12==11.3.3.41
+nvidia-cufile-cu12==1.13.0.11
+nvidia-curand-cu12==10.3.9.55
+nvidia-cusolver-cu12==11.7.2.55
+nvidia-cusparse-cu12==12.5.7.53
+nvidia-cusparselt-cu12==0.6.3
+nvidia-nccl-cu12==2.26.2
+nvidia-nvjitlink-cu12==12.8.61
+nvidia-nvtx-cu12==12.8.55
+opencv-python==4.12.0.88
+opencv-python-headless==4.12.0.88
+packaging==25.0
+parso==0.8.4
+pexpect==4.9.0
+pfzy==0.3.4
+piexif==1.1.3
+pillow==11.0.0
+pixeloe==0.1.4
+platformdirs==4.3.8
+pooch==1.8.2
+prompt_toolkit==3.0.51
+propcache==0.3.2
+psutil==7.0.0
+ptyprocess==0.7.0
+pure_eval==0.2.3
+pycparser==2.22
+pycryptodome==3.23.0
+pydantic==2.11.7
+pydantic-settings==2.10.1
+pydantic_core==2.33.2
+PyGithub==2.7.0
+Pygments==2.19.2
+PyJWT==2.10.1
+PyMatting==1.1.14
+PyNaCl==1.5.0
+pyparsing==3.2.3
+PySocks==1.7.1
+python-dateutil==2.9.0.post0
+python-dotenv==1.1.1
+python-socks==2.7.1
+PyWavelets==1.9.0
+PyYAML==6.0.2
+pyzmq==27.0.0
+referencing==0.36.2
+regex==2025.7.34
+rembg==2.0.67
+requests==2.32.4
+rich==14.1.0
+rpds-py==0.26.0
+safetensors==0.5.3
+scikit-image==0.25.2
+scipy==1.16.1
+sentencepiece==0.2.0
+setuptools==80.9.0
+shellingham==1.5.4
+simsimd==6.5.0
+six==1.17.0
+smmap==5.0.2
+soundfile==0.13.1
+soupsieve==2.7
+spandrel==0.4.1
+SQLAlchemy==2.0.42
+stack-data==0.6.3
+stringzilla==3.12.5
+sympy==1.13.3
+tifffile==2025.6.11
+timm==1.0.19
+tokenizers==0.21.4
+toml==0.10.2
+torch==2.7.1+cu128
+torchaudio==2.7.1+cu128
+torchsde==0.2.6
+torchvision==0.22.1+cu128
+tornado==6.5.1
+tqdm==4.67.1
+traitlets==5.14.3
+trampoline==0.1.2
+transformers==4.54.1
+transparent-background==1.3.4
+triton==3.3.1
+typer==0.16.0
+typing-inspection==0.4.1
+typing_extensions==4.14.0
+unpaddedbase64==2.1.0
+urllib3==2.5.0
+uv==0.8.4
+wcwidth==0.2.13
+wget==3.2
+wheel==0.45.1
+widgetsnbextension==4.0.14
+yarl==1.20.1

ComfyUI/.ipynb_checkpoints/install-checkpoint.sh

@@ -0,0 +1,80 @@
+#!/bin/bash
+
+# Update system packages
+apt update && apt upgrade -y
+
+# Install base packages
+apt install -y software-properties-common build-essential git python3-pip wget cmake pkg-config ninja-build
+
+# Add deadsnakes PPA and install Python 3.12
+add-apt-repository ppa:deadsnakes/ppa -y
+apt update
+apt install -y python3.12 python3.12-venv python3.12-dev
+
+# Set python and python3 to Python 3.12
+update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 1
+update-alternatives --set python3 /usr/bin/python3.12
+
+echo "System Python version: $(python --version)"
+
+# Stop nginx if present
+systemctl stop nginx 2>/dev/null || true
+systemctl disable nginx 2>/dev/null || true
+pkill -f nginx || true
+
+# Set up workspace
+mkdir -p /workspace && cd /workspace
+
+# Clone ComfyUI
+git clone https://github.com/comfyanonymous/ComfyUI.git
+cd ComfyUI
+
+# Create and activate Python 3.12 virtual environment
+python3 -m venv venv
+source venv/bin/activate
+
+echo "Virtualenv Python version: $(python --version)"
+
+# Upgrade pip
+pip install --upgrade pip
+
+# Install PyTorch 2.7.0 with CUDA 12.8
+pip install torch==2.7.0 torchvision==0.22.0 torchaudio==2.7.0 --index-url https://download.pytorch.org/whl/cu128
+
+# Install Triton (latest)
+pip install triton
+
+# Install packaging
+pip install packaging
+
+# Install SageAttention2 from prebuilt wheel (no compilation needed)
+cd /workspace
+wget https://huggingface.co/nitin19/flash-attention-wheels/resolve/main/sageattention-2.1.1-cp312-cp312-linux_x86_64.whl
+pip install ./sageattention-2.1.1-cp312-cp312-linux_x86_64.whl
+
+# Check torch, CUDA, Triton, compile
+echo "Torch: $(python -c 'import torch; print(torch.__version__)')"
+echo "CUDA: $(python -c 'import torch; print(torch.version.cuda)')"
+echo "Triton: $(python -c 'import triton; print(triton.__version__)')"
+echo "torch.compile available: $(python -c 'import torch; print(hasattr(torch, "compile"))')"
+
+# Install ComfyUI requirements
+cd /workspace/ComfyUI
+pip install -r requirements.txt
+
+# Install ComfyUI Manager
+mkdir -p custom_nodes && cd custom_nodes
+git clone https://github.com/ltdrdata/ComfyUI-Manager.git
+cd ComfyUI-Manager
+pip install -r requirements.txt
+
+# Make sure ComfyUI main is executable
+chmod +x /workspace/ComfyUI/main.py
+
+# Kill any process on port 3001
+fuser -k 3001/tcp || true
+
+# Start ComfyUI with SageAttention
+cd /workspace/ComfyUI
+source venv/bin/activate
+python main.py --use-sage-attention --listen --port 3001

ComfyUI/alembic_db/README.md

@@ -0,0 +1,4 @@
+## Generate new revision
+
+1. Update models in `/app/database/models.py`
+2. Run `alembic revision --autogenerate -m "{your message}"`

ComfyUI/alembic_db/env.py

@@ -0,0 +1,64 @@
+from sqlalchemy import engine_from_config
+from sqlalchemy import pool
+
+from alembic import context
+
+# this is the Alembic Config object, which provides
+# access to the values within the .ini file in use.
+config = context.config
+
+
+from app.database.models import Base
+target_metadata = Base.metadata
+
+# other values from the config, defined by the needs of env.py,
+# can be acquired:
+# my_important_option = config.get_main_option("my_important_option")
+# ... etc.
+
+
+def run_migrations_offline() -> None:
+    """Run migrations in 'offline' mode.
+    This configures the context with just a URL
+    and not an Engine, though an Engine is acceptable
+    here as well.  By skipping the Engine creation
+    we don't even need a DBAPI to be available.
+    Calls to context.execute() here emit the given string to the
+    script output.
+    """
+    url = config.get_main_option("sqlalchemy.url")
+    context.configure(
+        url=url,
+        target_metadata=target_metadata,
+        literal_binds=True,
+        dialect_opts={"paramstyle": "named"},
+    )
+
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+def run_migrations_online() -> None:
+    """Run migrations in 'online' mode.
+    In this scenario we need to create an Engine
+    and associate a connection with the context.
+    """
+    connectable = engine_from_config(
+        config.get_section(config.config_ini_section, {}),
+        prefix="sqlalchemy.",
+        poolclass=pool.NullPool,
+    )
+
+    with connectable.connect() as connection:
+        context.configure(
+            connection=connection, target_metadata=target_metadata
+        )
+
+        with context.begin_transaction():
+            context.run_migrations()
+
+
+if context.is_offline_mode():
+    run_migrations_offline()
+else:
+    run_migrations_online()

ComfyUI/alembic_db/script.py.mako

@@ -0,0 +1,28 @@
+"""${message}
+
+Revision ID: ${up_revision}
+Revises: ${down_revision | comma,n}
+Create Date: ${create_date}
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+${imports if imports else ""}
+
+# revision identifiers, used by Alembic.
+revision: str = ${repr(up_revision)}
+down_revision: Union[str, None] = ${repr(down_revision)}
+branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
+depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    ${upgrades if upgrades else "pass"}
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    ${downgrades if downgrades else "pass"}

ComfyUI/app/app_settings.py

@@ -0,0 +1,65 @@
+import os
+import json
+from aiohttp import web
+import logging
+
+
+class AppSettings():
+    def __init__(self, user_manager):
+        self.user_manager = user_manager
+
+    def get_settings(self, request):
+        try:
+            file = self.user_manager.get_request_user_filepath(
+                request,
+                "comfy.settings.json"
+            )
+        except KeyError as e:
+            logging.error("User settings not found.")
+            raise web.HTTPUnauthorized() from e
+        if os.path.isfile(file):
+            try:
+                with open(file) as f:
+                    return json.load(f)
+            except:
+                logging.error(f"The user settings file is corrupted: {file}")
+                return {}
+        else:
+            return {}
+
+    def save_settings(self, request, settings):
+        file = self.user_manager.get_request_user_filepath(
+            request, "comfy.settings.json")
+        with open(file, "w") as f:
+            f.write(json.dumps(settings, indent=4))
+
+    def add_routes(self, routes):
+        @routes.get("/settings")
+        async def get_settings(request):
+            return web.json_response(self.get_settings(request))
+
+        @routes.get("/settings/{id}")
+        async def get_setting(request):
+            value = None
+            settings = self.get_settings(request)
+            setting_id = request.match_info.get("id", None)
+            if setting_id and setting_id in settings:
+                value = settings[setting_id]
+            return web.json_response(value)
+
+        @routes.post("/settings")
+        async def post_settings(request):
+            settings = self.get_settings(request)
+            new_settings = await request.json()
+            self.save_settings(request, {**settings, **new_settings})
+            return web.Response(status=200)
+
+        @routes.post("/settings/{id}")
+        async def post_setting(request):
+            setting_id = request.match_info.get("id", None)
+            if not setting_id:
+                return web.Response(status=400)
+            settings = self.get_settings(request)
+            settings[setting_id] = await request.json()
+            self.save_settings(request, settings)
+            return web.Response(status=200)

ComfyUI/app/custom_node_manager.py

@@ -0,0 +1,145 @@
+from __future__ import annotations
+
+import os
+import folder_paths
+import glob
+from aiohttp import web
+import json
+import logging
+from functools import lru_cache
+
+from utils.json_util import merge_json_recursive
+
+
+# Extra locale files to load into main.json
+EXTRA_LOCALE_FILES = [
+    "nodeDefs.json",
+    "commands.json",
+    "settings.json",
+]
+
+
+def safe_load_json_file(file_path: str) -> dict:
+    if not os.path.exists(file_path):
+        return {}
+
+    try:
+        with open(file_path, "r", encoding="utf-8") as f:
+            return json.load(f)
+    except json.JSONDecodeError:
+        logging.error(f"Error loading {file_path}")
+        return {}
+
+
+class CustomNodeManager:
+    @lru_cache(maxsize=1)
+    def build_translations(self):
+        """Load all custom nodes translations during initialization. Translations are
+        expected to be loaded from `locales/` folder.
+
+        The folder structure is expected to be the following:
+        - custom_nodes/
+            - custom_node_1/
+                - locales/
+                    - en/
+                        - main.json
+                        - commands.json
+                        - settings.json
+
+        returned translations are expected to be in the following format:
+        {
+            "en": {
+                "nodeDefs": {...},
+                "commands": {...},
+                "settings": {...},
+                ...{other main.json keys}
+            }
+        }
+        """
+
+        translations = {}
+
+        for folder in folder_paths.get_folder_paths("custom_nodes"):
+            # Sort glob results for deterministic ordering
+            for custom_node_dir in sorted(glob.glob(os.path.join(folder, "*/"))):
+                locales_dir = os.path.join(custom_node_dir, "locales")
+                if not os.path.exists(locales_dir):
+                    continue
+
+                for lang_dir in glob.glob(os.path.join(locales_dir, "*/")):
+                    lang_code = os.path.basename(os.path.dirname(lang_dir))
+
+                    if lang_code not in translations:
+                        translations[lang_code] = {}
+
+                    # Load main.json
+                    main_file = os.path.join(lang_dir, "main.json")
+                    node_translations = safe_load_json_file(main_file)
+
+                    # Load extra locale files
+                    for extra_file in EXTRA_LOCALE_FILES:
+                        extra_file_path = os.path.join(lang_dir, extra_file)
+                        key = extra_file.split(".")[0]
+                        json_data = safe_load_json_file(extra_file_path)
+                        if json_data:
+                            node_translations[key] = json_data
+
+                    if node_translations:
+                        translations[lang_code] = merge_json_recursive(
+                            translations[lang_code], node_translations
+                        )
+
+        return translations
+
+    def add_routes(self, routes, webapp, loadedModules):
+
+        example_workflow_folder_names = ["example_workflows", "example", "examples", "workflow", "workflows"]
+
+        @routes.get("/workflow_templates")
+        async def get_workflow_templates(request):
+            """Returns a web response that contains the map of custom_nodes names and their associated workflow templates. The ones without templates are omitted."""
+
+            files = []
+
+            for folder in folder_paths.get_folder_paths("custom_nodes"):
+                for folder_name in example_workflow_folder_names:
+                    pattern = os.path.join(folder, f"*/{folder_name}/*.json")
+                    matched_files = glob.glob(pattern)
+                    files.extend(matched_files)
+
+            workflow_templates_dict = (
+                {}
+            )  # custom_nodes folder name -> example workflow names
+            for file in files:
+                custom_nodes_name = os.path.basename(
+                    os.path.dirname(os.path.dirname(file))
+                )
+                workflow_name = os.path.splitext(os.path.basename(file))[0]
+                workflow_templates_dict.setdefault(custom_nodes_name, []).append(
+                    workflow_name
+                )
+            return web.json_response(workflow_templates_dict)
+
+        # Serve workflow templates from custom nodes.
+        for module_name, module_dir in loadedModules:
+            for folder_name in example_workflow_folder_names:
+                workflows_dir = os.path.join(module_dir, folder_name)
+
+                if os.path.exists(workflows_dir):
+                    if folder_name != "example_workflows":
+                        logging.debug(
+                            "Found example workflow folder '%s' for custom node '%s', consider renaming it to 'example_workflows'",
+                            folder_name, module_name)
+
+                    webapp.add_routes(
+                        [
+                            web.static(
+                                "/api/workflow_templates/" + module_name, workflows_dir
+                            )
+                        ]
+                    )
+
+        @routes.get("/i18n")
+        async def get_i18n(request):
+            """Returns translations from all custom nodes' locales folders."""
+            return web.json_response(self.build_translations())

ComfyUI/app/frontend_management.py

@@ -0,0 +1,361 @@
+from __future__ import annotations
+import argparse
+import logging
+import os
+import re
+import sys
+import tempfile
+import zipfile
+import importlib
+from dataclasses import dataclass
+from functools import cached_property
+from pathlib import Path
+from typing import TypedDict, Optional
+from importlib.metadata import version
+
+import requests
+from typing_extensions import NotRequired
+
+from utils.install_util import get_missing_requirements_message, requirements_path
+
+from comfy.cli_args import DEFAULT_VERSION_STRING
+import app.logger
+
+
+def frontend_install_warning_message():
+    return f"""
+{get_missing_requirements_message()}
+
+This error is happening because the ComfyUI frontend is no longer shipped as part of the main repo but as a pip package instead.
+""".strip()
+
+def parse_version(version: str) -> tuple[int, int, int]:
+        return tuple(map(int, version.split(".")))
+
+def is_valid_version(version: str) -> bool:
+    """Validate if a string is a valid semantic version (X.Y.Z format)."""
+    pattern = r"^(\d+)\.(\d+)\.(\d+)$"
+    return bool(re.match(pattern, version))
+
+def get_installed_frontend_version():
+    """Get the currently installed frontend package version."""
+    frontend_version_str = version("comfyui-frontend-package")
+    return frontend_version_str
+
+def get_required_frontend_version():
+    """Get the required frontend version from requirements.txt."""
+    try:
+        with open(requirements_path, "r", encoding="utf-8") as f:
+            for line in f:
+                line = line.strip()
+                if line.startswith("comfyui-frontend-package=="):
+                    version_str = line.split("==")[-1]
+                    if not is_valid_version(version_str):
+                        logging.error(f"Invalid version format in requirements.txt: {version_str}")
+                        return None
+                    return version_str
+            logging.error("comfyui-frontend-package not found in requirements.txt")
+            return None
+    except FileNotFoundError:
+        logging.error("requirements.txt not found. Cannot determine required frontend version.")
+        return None
+    except Exception as e:
+        logging.error(f"Error reading requirements.txt: {e}")
+        return None
+
+def check_frontend_version():
+    """Check if the frontend version is up to date."""
+
+    try:
+        frontend_version_str = get_installed_frontend_version()
+        frontend_version = parse_version(frontend_version_str)
+        required_frontend_str = get_required_frontend_version()
+        required_frontend = parse_version(required_frontend_str)
+        if frontend_version < required_frontend:
+            app.logger.log_startup_warning(
+                f"""
+________________________________________________________________________
+WARNING WARNING WARNING WARNING WARNING
+
+Installed frontend version {".".join(map(str, frontend_version))} is lower than the recommended version {".".join(map(str, required_frontend))}.
+
+{frontend_install_warning_message()}
+________________________________________________________________________
+""".strip()
+            )
+        else:
+            logging.info("ComfyUI frontend version: {}".format(frontend_version_str))
+    except Exception as e:
+        logging.error(f"Failed to check frontend version: {e}")
+
+
+REQUEST_TIMEOUT = 10  # seconds
+
+
+class Asset(TypedDict):
+    url: str
+
+
+class Release(TypedDict):
+    id: int
+    tag_name: str
+    name: str
+    prerelease: bool
+    created_at: str
+    published_at: str
+    body: str
+    assets: NotRequired[list[Asset]]
+
+
+@dataclass
+class FrontEndProvider:
+    owner: str
+    repo: str
+
+    @property
+    def folder_name(self) -> str:
+        return f"{self.owner}_{self.repo}"
+
+    @property
+    def release_url(self) -> str:
+        return f"https://api.github.com/repos/{self.owner}/{self.repo}/releases"
+
+    @cached_property
+    def all_releases(self) -> list[Release]:
+        releases = []
+        api_url = self.release_url
+        while api_url:
+            response = requests.get(api_url, timeout=REQUEST_TIMEOUT)
+            response.raise_for_status()  # Raises an HTTPError if the response was an error
+            releases.extend(response.json())
+            # GitHub uses the Link header to provide pagination links. Check if it exists and update api_url accordingly.
+            if "next" in response.links:
+                api_url = response.links["next"]["url"]
+            else:
+                api_url = None
+        return releases
+
+    @cached_property
+    def latest_release(self) -> Release:
+        latest_release_url = f"{self.release_url}/latest"
+        response = requests.get(latest_release_url, timeout=REQUEST_TIMEOUT)
+        response.raise_for_status()  # Raises an HTTPError if the response was an error
+        return response.json()
+
+    @cached_property
+    def latest_prerelease(self) -> Release:
+        """Get the latest pre-release version - even if it's older than the latest release"""
+        release = [release for release in self.all_releases if release["prerelease"]]
+
+        if not release:
+            raise ValueError("No pre-releases found")
+
+        # GitHub returns releases in reverse chronological order, so first is latest
+        return release[0]
+
+    def get_release(self, version: str) -> Release:
+        if version == "latest":
+            return self.latest_release
+        elif version == "prerelease":
+            return self.latest_prerelease
+        else:
+            for release in self.all_releases:
+                if release["tag_name"] in [version, f"v{version}"]:
+                    return release
+            raise ValueError(f"Version {version} not found in releases")
+
+
+def download_release_asset_zip(release: Release, destination_path: str) -> None:
+    """Download dist.zip from github release."""
+    asset_url = None
+    for asset in release.get("assets", []):
+        if asset["name"] == "dist.zip":
+            asset_url = asset["url"]
+            break
+
+    if not asset_url:
+        raise ValueError("dist.zip not found in the release assets")
+
+    # Use a temporary file to download the zip content
+    with tempfile.TemporaryFile() as tmp_file:
+        headers = {"Accept": "application/octet-stream"}
+        response = requests.get(
+            asset_url, headers=headers, allow_redirects=True, timeout=REQUEST_TIMEOUT
+        )
+        response.raise_for_status()  # Ensure we got a successful response
+
+        # Write the content to the temporary file
+        tmp_file.write(response.content)
+
+        # Go back to the beginning of the temporary file
+        tmp_file.seek(0)
+
+        # Extract the zip file content to the destination path
+        with zipfile.ZipFile(tmp_file, "r") as zip_ref:
+            zip_ref.extractall(destination_path)
+
+
+class FrontendManager:
+    CUSTOM_FRONTENDS_ROOT = str(Path(__file__).parents[1] / "web_custom_versions")
+
+    @classmethod
+    def get_required_frontend_version(cls) -> str:
+        """Get the required frontend package version."""
+        return get_required_frontend_version()
+
+    @classmethod
+    def default_frontend_path(cls) -> str:
+        try:
+            import comfyui_frontend_package
+
+            return str(importlib.resources.files(comfyui_frontend_package) / "static")
+        except ImportError:
+            logging.error(
+                f"""
+********** ERROR ***********
+
+comfyui-frontend-package is not installed.
+
+{frontend_install_warning_message()}
+
+********** ERROR ***********
+""".strip()
+            )
+            sys.exit(-1)
+
+    @classmethod
+    def templates_path(cls) -> str:
+        try:
+            import comfyui_workflow_templates
+
+            return str(
+                importlib.resources.files(comfyui_workflow_templates) / "templates"
+            )
+        except ImportError:
+            logging.error(
+                f"""
+********** ERROR ***********
+
+comfyui-workflow-templates is not installed.
+
+{frontend_install_warning_message()}
+
+********** ERROR ***********
+""".strip()
+            )
+
+    @classmethod
+    def embedded_docs_path(cls) -> str:
+        """Get the path to embedded documentation"""
+        try:
+            import comfyui_embedded_docs
+
+            return str(
+                importlib.resources.files(comfyui_embedded_docs) / "docs"
+            )
+        except ImportError:
+            logging.info("comfyui-embedded-docs package not found")
+            return None
+
+    @classmethod
+    def parse_version_string(cls, value: str) -> tuple[str, str, str]:
+        """
+        Args:
+            value (str): The version string to parse.
+
+        Returns:
+            tuple[str, str]: A tuple containing provider name and version.
+
+        Raises:
+            argparse.ArgumentTypeError: If the version string is invalid.
+        """
+        VERSION_PATTERN = r"^([a-zA-Z0-9][a-zA-Z0-9-]{0,38})/([a-zA-Z0-9_.-]+)@(v?\d+\.\d+\.\d+[-._a-zA-Z0-9]*|latest|prerelease)$"
+        match_result = re.match(VERSION_PATTERN, value)
+        if match_result is None:
+            raise argparse.ArgumentTypeError(f"Invalid version string: {value}")
+
+        return match_result.group(1), match_result.group(2), match_result.group(3)
+
+    @classmethod
+    def init_frontend_unsafe(
+        cls, version_string: str, provider: Optional[FrontEndProvider] = None
+    ) -> str:
+        """
+        Initializes the frontend for the specified version.
+
+        Args:
+            version_string (str): The version string.
+            provider (FrontEndProvider, optional): The provider to use. Defaults to None.
+
+        Returns:
+            str: The path to the initialized frontend.
+
+        Raises:
+            Exception: If there is an error during the initialization process.
+            main error source might be request timeout or invalid URL.
+        """
+        if version_string == DEFAULT_VERSION_STRING:
+            check_frontend_version()
+            return cls.default_frontend_path()
+
+        repo_owner, repo_name, version = cls.parse_version_string(version_string)
+
+        if version.startswith("v"):
+            expected_path = str(
+                Path(cls.CUSTOM_FRONTENDS_ROOT)
+                / f"{repo_owner}_{repo_name}"
+                / version.lstrip("v")
+            )
+            if os.path.exists(expected_path):
+                logging.info(
+                    f"Using existing copy of specific frontend version tag: {repo_owner}/{repo_name}@{version}"
+                )
+                return expected_path
+
+        logging.info(
+            f"Initializing frontend: {repo_owner}/{repo_name}@{version}, requesting version details from GitHub..."
+        )
+
+        provider = provider or FrontEndProvider(repo_owner, repo_name)
+        release = provider.get_release(version)
+
+        semantic_version = release["tag_name"].lstrip("v")
+        web_root = str(
+            Path(cls.CUSTOM_FRONTENDS_ROOT) / provider.folder_name / semantic_version
+        )
+        if not os.path.exists(web_root):
+            try:
+                os.makedirs(web_root, exist_ok=True)
+                logging.info(
+                    "Downloading frontend(%s) version(%s) to (%s)",
+                    provider.folder_name,
+                    semantic_version,
+                    web_root,
+                )
+                logging.debug(release)
+                download_release_asset_zip(release, destination_path=web_root)
+            finally:
+                # Clean up the directory if it is empty, i.e. the download failed
+                if not os.listdir(web_root):
+                    os.rmdir(web_root)
+
+        return web_root
+
+    @classmethod
+    def init_frontend(cls, version_string: str) -> str:
+        """
+        Initializes the frontend with the specified version string.
+
+        Args:
+            version_string (str): The version string to initialize the frontend with.
+
+        Returns:
+            str: The path of the initialized frontend.
+        """
+        try:
+            return cls.init_frontend_unsafe(version_string)
+        except Exception as e:
+            logging.error("Failed to initialize frontend: %s", e)
+            logging.info("Falling back to the default frontend.")
+            check_frontend_version()
+            return cls.default_frontend_path()

ComfyUI/app/logger.py

@@ -0,0 +1,98 @@
+from collections import deque
+from datetime import datetime
+import io
+import logging
+import sys
+import threading
+
+logs = None
+stdout_interceptor = None
+stderr_interceptor = None
+
+
+class LogInterceptor(io.TextIOWrapper):
+    def __init__(self, stream,  *args, **kwargs):
+        buffer = stream.buffer
+        encoding = stream.encoding
+        super().__init__(buffer, *args, **kwargs, encoding=encoding, line_buffering=stream.line_buffering)
+        self._lock = threading.Lock()
+        self._flush_callbacks = []
+        self._logs_since_flush = []
+
+    def write(self, data):
+        entry = {"t": datetime.now().isoformat(), "m": data}
+        with self._lock:
+            self._logs_since_flush.append(entry)
+
+            # Simple handling for cr to overwrite the last output if it isnt a full line
+            # else logs just get full of progress messages
+            if isinstance(data, str) and data.startswith("\r") and not logs[-1]["m"].endswith("\n"):
+                logs.pop()
+            logs.append(entry)
+        super().write(data)
+
+    def flush(self):
+        super().flush()
+        for cb in self._flush_callbacks:
+            cb(self._logs_since_flush)
+            self._logs_since_flush = []
+
+    def on_flush(self, callback):
+        self._flush_callbacks.append(callback)
+
+
+def get_logs():
+    return logs
+
+
+def on_flush(callback):
+    if stdout_interceptor is not None:
+        stdout_interceptor.on_flush(callback)
+    if stderr_interceptor is not None:
+        stderr_interceptor.on_flush(callback)
+
+def setup_logger(log_level: str = 'INFO', capacity: int = 300, use_stdout: bool = False):
+    global logs
+    if logs:
+        return
+
+    # Override output streams and log to buffer
+    logs = deque(maxlen=capacity)
+
+    global stdout_interceptor
+    global stderr_interceptor
+    stdout_interceptor = sys.stdout = LogInterceptor(sys.stdout)
+    stderr_interceptor = sys.stderr = LogInterceptor(sys.stderr)
+
+    # Setup default global logger
+    logger = logging.getLogger()
+    logger.setLevel(log_level)
+
+    stream_handler = logging.StreamHandler()
+    stream_handler.setFormatter(logging.Formatter("%(message)s"))
+
+    if use_stdout:
+        # Only errors and critical to stderr
+        stream_handler.addFilter(lambda record: not record.levelno < logging.ERROR)
+
+        # Lesser to stdout
+        stdout_handler = logging.StreamHandler(sys.stdout)
+        stdout_handler.setFormatter(logging.Formatter("%(message)s"))
+        stdout_handler.addFilter(lambda record: record.levelno < logging.ERROR)
+        logger.addHandler(stdout_handler)
+
+    logger.addHandler(stream_handler)
+
+
+STARTUP_WARNINGS = []
+
+
+def log_startup_warning(msg):
+    logging.warning(msg)
+    STARTUP_WARNINGS.append(msg)
+
+
+def print_startup_warnings():
+    for s in STARTUP_WARNINGS:
+        logging.warning(s)
+    STARTUP_WARNINGS.clear()

ComfyUI/app/model_manager.py

@@ -0,0 +1,184 @@
+from __future__ import annotations
+
+import os
+import base64
+import json
+import time
+import logging
+import folder_paths
+import glob
+import comfy.utils
+from aiohttp import web
+from PIL import Image
+from io import BytesIO
+from folder_paths import map_legacy, filter_files_extensions, filter_files_content_types
+
+
+class ModelFileManager:
+    def __init__(self) -> None:
+        self.cache: dict[str, tuple[list[dict], dict[str, float], float]] = {}
+
+    def get_cache(self, key: str, default=None) -> tuple[list[dict], dict[str, float], float] | None:
+        return self.cache.get(key, default)
+
+    def set_cache(self, key: str, value: tuple[list[dict], dict[str, float], float]):
+        self.cache[key] = value
+
+    def clear_cache(self):
+        self.cache.clear()
+
+    def add_routes(self, routes):
+        # NOTE: This is an experiment to replace `/models`
+        @routes.get("/experiment/models")
+        async def get_model_folders(request):
+            model_types = list(folder_paths.folder_names_and_paths.keys())
+            folder_black_list = ["configs", "custom_nodes"]
+            output_folders: list[dict] = []
+            for folder in model_types:
+                if folder in folder_black_list:
+                    continue
+                output_folders.append({"name": folder, "folders": folder_paths.get_folder_paths(folder)})
+            return web.json_response(output_folders)
+
+        # NOTE: This is an experiment to replace `/models/{folder}`
+        @routes.get("/experiment/models/{folder}")
+        async def get_all_models(request):
+            folder = request.match_info.get("folder", None)
+            if not folder in folder_paths.folder_names_and_paths:
+                return web.Response(status=404)
+            files = self.get_model_file_list(folder)
+            return web.json_response(files)
+
+        @routes.get("/experiment/models/preview/{folder}/{path_index}/{filename:.*}")
+        async def get_model_preview(request):
+            folder_name = request.match_info.get("folder", None)
+            path_index = int(request.match_info.get("path_index", None))
+            filename = request.match_info.get("filename", None)
+
+            if not folder_name in folder_paths.folder_names_and_paths:
+                return web.Response(status=404)
+
+            folders = folder_paths.folder_names_and_paths[folder_name]
+            folder = folders[0][path_index]
+            full_filename = os.path.join(folder, filename)
+
+            previews = self.get_model_previews(full_filename)
+            default_preview = previews[0] if len(previews) > 0 else None
+            if default_preview is None or (isinstance(default_preview, str) and not os.path.isfile(default_preview)):
+                return web.Response(status=404)
+
+            try:
+                with Image.open(default_preview) as img:
+                    img_bytes = BytesIO()
+                    img.save(img_bytes, format="WEBP")
+                    img_bytes.seek(0)
+                    return web.Response(body=img_bytes.getvalue(), content_type="image/webp")
+            except:
+                return web.Response(status=404)
+
+    def get_model_file_list(self, folder_name: str):
+        folder_name = map_legacy(folder_name)
+        folders = folder_paths.folder_names_and_paths[folder_name]
+        output_list: list[dict] = []
+
+        for index, folder in enumerate(folders[0]):
+            if not os.path.isdir(folder):
+                continue
+            out = self.cache_model_file_list_(folder)
+            if out is None:
+                out = self.recursive_search_models_(folder, index)
+                self.set_cache(folder, out)
+            output_list.extend(out[0])
+
+        return output_list
+
+    def cache_model_file_list_(self, folder: str):
+        model_file_list_cache = self.get_cache(folder)
+
+        if model_file_list_cache is None:
+            return None
+        if not os.path.isdir(folder):
+            return None
+        if os.path.getmtime(folder) != model_file_list_cache[1]:
+            return None
+        for x in model_file_list_cache[1]:
+            time_modified = model_file_list_cache[1][x]
+            folder = x
+            if os.path.getmtime(folder) != time_modified:
+                return None
+
+        return model_file_list_cache
+
+    def recursive_search_models_(self, directory: str, pathIndex: int) -> tuple[list[str], dict[str, float], float]:
+        if not os.path.isdir(directory):
+            return [], {}, time.perf_counter()
+
+        excluded_dir_names = [".git"]
+        # TODO use settings
+        include_hidden_files = False
+
+        result: list[str] = []
+        dirs: dict[str, float] = {}
+
+        for dirpath, subdirs, filenames in os.walk(directory, followlinks=True, topdown=True):
+            subdirs[:] = [d for d in subdirs if d not in excluded_dir_names]
+            if not include_hidden_files:
+                subdirs[:] = [d for d in subdirs if not d.startswith(".")]
+                filenames = [f for f in filenames if not f.startswith(".")]
+
+            filenames = filter_files_extensions(filenames, folder_paths.supported_pt_extensions)
+
+            for file_name in filenames:
+                try:
+                    relative_path = os.path.relpath(os.path.join(dirpath, file_name), directory)
+                    result.append(relative_path)
+                except:
+                    logging.warning(f"Warning: Unable to access {file_name}. Skipping this file.")
+                    continue
+
+            for d in subdirs:
+                path: str = os.path.join(dirpath, d)
+                try:
+                    dirs[path] = os.path.getmtime(path)
+                except FileNotFoundError:
+                    logging.warning(f"Warning: Unable to access {path}. Skipping this path.")
+                    continue
+
+        return [{"name": f, "pathIndex": pathIndex} for f in result], dirs, time.perf_counter()
+
+    def get_model_previews(self, filepath: str) -> list[str | BytesIO]:
+        dirname = os.path.dirname(filepath)
+
+        if not os.path.exists(dirname):
+            return []
+
+        basename = os.path.splitext(filepath)[0]
+        match_files = glob.glob(f"{basename}.*", recursive=False)
+        image_files = filter_files_content_types(match_files, "image")
+        safetensors_file = next(filter(lambda x: x.endswith(".safetensors"), match_files), None)
+        safetensors_metadata = {}
+
+        result: list[str | BytesIO] = []
+
+        for filename in image_files:
+            _basename = os.path.splitext(filename)[0]
+            if _basename == basename:
+                result.append(filename)
+            if _basename == f"{basename}.preview":
+                result.append(filename)
+
+        if safetensors_file:
+            safetensors_filepath = os.path.join(dirname, safetensors_file)
+            header = comfy.utils.safetensors_header(safetensors_filepath, max_size=8*1024*1024)
+            if header:
+                safetensors_metadata = json.loads(header)
+        safetensors_images = safetensors_metadata.get("__metadata__", {}).get("ssmd_cover_images", None)
+        if safetensors_images:
+            safetensors_images = json.loads(safetensors_images)
+            for image in safetensors_images:
+                result.append(BytesIO(base64.b64decode(image)))
+
+        return result
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        self.clear_cache()

ComfyUI/app/user_manager.py

@@ -0,0 +1,436 @@
+from __future__ import annotations
+import json
+import os
+import re
+import uuid
+import glob
+import shutil
+import logging
+from aiohttp import web
+from urllib import parse
+from comfy.cli_args import args
+import folder_paths
+from .app_settings import AppSettings
+from typing import TypedDict
+
+default_user = "default"
+
+
+class FileInfo(TypedDict):
+    path: str
+    size: int
+    modified: int
+
+
+def get_file_info(path: str, relative_to: str) -> FileInfo:
+    return {
+        "path": os.path.relpath(path, relative_to).replace(os.sep, '/'),
+        "size": os.path.getsize(path),
+        "modified": os.path.getmtime(path)
+    }
+
+
+class UserManager():
+    def __init__(self):
+        user_directory = folder_paths.get_user_directory()
+
+        self.settings = AppSettings(self)
+        if not os.path.exists(user_directory):
+            os.makedirs(user_directory, exist_ok=True)
+            if not args.multi_user:
+                logging.warning("****** User settings have been changed to be stored on the server instead of browser storage. ******")
+                logging.warning("****** For multi-user setups add the --multi-user CLI argument to enable multiple user profiles. ******")
+
+        if args.multi_user:
+            if os.path.isfile(self.get_users_file()):
+                with open(self.get_users_file()) as f:
+                    self.users = json.load(f)
+            else:
+                self.users = {}
+        else:
+            self.users = {"default": "default"}
+
+    def get_users_file(self):
+        return os.path.join(folder_paths.get_user_directory(), "users.json")
+
+    def get_request_user_id(self, request):
+        user = "default"
+        if args.multi_user and "comfy-user" in request.headers:
+            user = request.headers["comfy-user"]
+
+        if user not in self.users:
+            raise KeyError("Unknown user: " + user)
+
+        return user
+
+    def get_request_user_filepath(self, request, file, type="userdata", create_dir=True):
+        user_directory = folder_paths.get_user_directory()
+
+        if type == "userdata":
+            root_dir = user_directory
+        else:
+            raise KeyError("Unknown filepath type:" + type)
+
+        user = self.get_request_user_id(request)
+        path = user_root = os.path.abspath(os.path.join(root_dir, user))
+
+        # prevent leaving /{type}
+        if os.path.commonpath((root_dir, user_root)) != root_dir:
+            return None
+
+        if file is not None:
+            # Check if filename is url encoded
+            if "%" in file:
+                file = parse.unquote(file)
+
+            # prevent leaving /{type}/{user}
+            path = os.path.abspath(os.path.join(user_root, file))
+            if os.path.commonpath((user_root, path)) != user_root:
+                return None
+
+        parent = os.path.split(path)[0]
+
+        if create_dir and not os.path.exists(parent):
+            os.makedirs(parent, exist_ok=True)
+
+        return path
+
+    def add_user(self, name):
+        name = name.strip()
+        if not name:
+            raise ValueError("username not provided")
+        user_id = re.sub("[^a-zA-Z0-9-_]+", '-', name)
+        user_id = user_id + "_" + str(uuid.uuid4())
+
+        self.users[user_id] = name
+
+        with open(self.get_users_file(), "w") as f:
+            json.dump(self.users, f)
+
+        return user_id
+
+    def add_routes(self, routes):
+        self.settings.add_routes(routes)
+
+        @routes.get("/users")
+        async def get_users(request):
+            if args.multi_user:
+                return web.json_response({"storage": "server", "users": self.users})
+            else:
+                user_dir = self.get_request_user_filepath(request, None, create_dir=False)
+                return web.json_response({
+                    "storage": "server",
+                    "migrated": os.path.exists(user_dir)
+                })
+
+        @routes.post("/users")
+        async def post_users(request):
+            body = await request.json()
+            username = body["username"]
+            if username in self.users.values():
+                return web.json_response({"error": "Duplicate username."}, status=400)
+
+            user_id = self.add_user(username)
+            return web.json_response(user_id)
+
+        @routes.get("/userdata")
+        async def listuserdata(request):
+            """
+            List user data files in a specified directory.
+
+            This endpoint allows listing files in a user's data directory, with options for recursion,
+            full file information, and path splitting.
+
+            Query Parameters:
+            - dir (required): The directory to list files from.
+            - recurse (optional): If "true", recursively list files in subdirectories.
+            - full_info (optional): If "true", return detailed file information (path, size, modified time).
+            - split (optional): If "true", split file paths into components (only applies when full_info is false).
+
+            Returns:
+            - 400: If 'dir' parameter is missing.
+            - 403: If the requested path is not allowed.
+            - 404: If the requested directory does not exist.
+            - 200: JSON response with the list of files or file information.
+
+            The response format depends on the query parameters:
+            - Default: List of relative file paths.
+            - full_info=true: List of dictionaries with file details.
+            - split=true (and full_info=false): List of lists, each containing path components.
+            """
+            directory = request.rel_url.query.get('dir', '')
+            if not directory:
+                return web.Response(status=400, text="Directory not provided")
+
+            path = self.get_request_user_filepath(request, directory)
+            if not path:
+                return web.Response(status=403, text="Invalid directory")
+
+            if not os.path.exists(path):
+                return web.Response(status=404, text="Directory not found")
+
+            recurse = request.rel_url.query.get('recurse', '').lower() == "true"
+            full_info = request.rel_url.query.get('full_info', '').lower() == "true"
+            split_path = request.rel_url.query.get('split', '').lower() == "true"
+
+            # Use different patterns based on whether we're recursing or not
+            if recurse:
+                pattern = os.path.join(glob.escape(path), '**', '*')
+            else:
+                pattern = os.path.join(glob.escape(path), '*')
+
+            def process_full_path(full_path: str) -> FileInfo | str | list[str]:
+                if full_info:
+                    return get_file_info(full_path, path)
+
+                rel_path = os.path.relpath(full_path, path).replace(os.sep, '/')
+                if split_path:
+                    return [rel_path] + rel_path.split('/')
+
+                return rel_path
+
+            results = [
+                process_full_path(full_path)
+                for full_path in glob.glob(pattern, recursive=recurse)
+                if os.path.isfile(full_path)
+            ]
+
+            return web.json_response(results)
+
+        @routes.get("/v2/userdata")
+        async def list_userdata_v2(request):
+            """
+            List files and directories in a user's data directory.
+
+            This endpoint provides a structured listing of contents within a specified
+            subdirectory of the user's data storage.
+
+            Query Parameters:
+            - path (optional): The relative path within the user's data directory
+                               to list. Defaults to the root ('').
+
+            Returns:
+            - 400: If the requested path is invalid, outside the user's data directory, or is not a directory.
+            - 404: If the requested path does not exist.
+            - 403: If the user is invalid.
+            - 500: If there is an error reading the directory contents.
+            - 200: JSON response containing a list of file and directory objects.
+                   Each object includes:
+                   - name: The name of the file or directory.
+                   - type: 'file' or 'directory'.
+                   - path: The relative path from the user's data root.
+                   - size (for files): The size in bytes.
+                   - modified (for files): The last modified timestamp (Unix epoch).
+            """
+            requested_rel_path = request.rel_url.query.get('path', '')
+
+            # URL-decode the path parameter
+            try:
+                requested_rel_path = parse.unquote(requested_rel_path)
+            except Exception as e:
+                logging.warning(f"Failed to decode path parameter: {requested_rel_path}, Error: {e}")
+                return web.Response(status=400, text="Invalid characters in path parameter")
+
+
+            # Check user validity and get the absolute path for the requested directory
+            try:
+                 base_user_path = self.get_request_user_filepath(request, None, create_dir=False)
+
+                 if requested_rel_path:
+                     target_abs_path = self.get_request_user_filepath(request, requested_rel_path, create_dir=False)
+                 else:
+                     target_abs_path = base_user_path
+
+            except KeyError as e:
+                 # Invalid user detected by get_request_user_id inside get_request_user_filepath
+                 logging.warning(f"Access denied for user: {e}")
+                 return web.Response(status=403, text="Invalid user specified in request")
+
+
+            if not target_abs_path:
+                 # Path traversal or other issue detected by get_request_user_filepath
+                 return web.Response(status=400, text="Invalid path requested")
+
+            # Handle cases where the user directory or target path doesn't exist
+            if not os.path.exists(target_abs_path):
+                # Check if it's the base user directory that's missing (new user case)
+                if target_abs_path == base_user_path:
+                    # It's okay if the base user directory doesn't exist yet, return empty list
+                     return web.json_response([])
+                else:
+                    # A specific subdirectory was requested but doesn't exist
+                     return web.Response(status=404, text="Requested path not found")
+
+            if not os.path.isdir(target_abs_path):
+                 return web.Response(status=400, text="Requested path is not a directory")
+
+            results = []
+            try:
+                for root, dirs, files in os.walk(target_abs_path, topdown=True):
+                    # Process directories
+                    for dir_name in dirs:
+                        dir_path = os.path.join(root, dir_name)
+                        rel_path = os.path.relpath(dir_path, base_user_path).replace(os.sep, '/')
+                        results.append({
+                            "name": dir_name,
+                            "path": rel_path,
+                            "type": "directory"
+                        })
+
+                    # Process files
+                    for file_name in files:
+                        file_path = os.path.join(root, file_name)
+                        rel_path = os.path.relpath(file_path, base_user_path).replace(os.sep, '/')
+                        entry_info = {
+                            "name": file_name,
+                            "path": rel_path,
+                            "type": "file"
+                        }
+                        try:
+                            stats = os.stat(file_path) # Use os.stat for potentially better performance with os.walk
+                            entry_info["size"] = stats.st_size
+                            entry_info["modified"] = stats.st_mtime
+                        except OSError as stat_error:
+                            logging.warning(f"Could not stat file {file_path}: {stat_error}")
+                            pass # Include file with available info
+                        results.append(entry_info)
+            except OSError as e:
+                logging.error(f"Error listing directory {target_abs_path}: {e}")
+                return web.Response(status=500, text="Error reading directory contents")
+
+            # Sort results alphabetically, directories first then files
+            results.sort(key=lambda x: (x['type'] != 'directory', x['name'].lower()))
+
+            return web.json_response(results)
+
+        def get_user_data_path(request, check_exists = False, param = "file"):
+            file = request.match_info.get(param, None)
+            if not file:
+                return web.Response(status=400)
+
+            path = self.get_request_user_filepath(request, file)
+            if not path:
+                return web.Response(status=403)
+
+            if check_exists and not os.path.exists(path):
+                return web.Response(status=404)
+
+            return path
+
+        @routes.get("/userdata/{file}")
+        async def getuserdata(request):
+            path = get_user_data_path(request, check_exists=True)
+            if not isinstance(path, str):
+                return path
+
+            return web.FileResponse(path)
+
+        @routes.post("/userdata/{file}")
+        async def post_userdata(request):
+            """
+            Upload or update a user data file.
+
+            This endpoint handles file uploads to a user's data directory, with options for
+            controlling overwrite behavior and response format.
+
+            Query Parameters:
+            - overwrite (optional): If "false", prevents overwriting existing files. Defaults to "true".
+            - full_info (optional): If "true", returns detailed file information (path, size, modified time).
+                                  If "false", returns only the relative file path.
+
+            Path Parameters:
+            - file: The target file path (URL encoded if necessary).
+
+            Returns:
+            - 400: If 'file' parameter is missing.
+            - 403: If the requested path is not allowed.
+            - 409: If overwrite=false and the file already exists.
+            - 200: JSON response with either:
+                  - Full file information (if full_info=true)
+                  - Relative file path (if full_info=false)
+
+            The request body should contain the raw file content to be written.
+            """
+            path = get_user_data_path(request)
+            if not isinstance(path, str):
+                return path
+
+            overwrite = request.query.get("overwrite", 'true') != "false"
+            full_info = request.query.get('full_info', 'false').lower() == "true"
+
+            if not overwrite and os.path.exists(path):
+                return web.Response(status=409, text="File already exists")
+
+            body = await request.read()
+
+            with open(path, "wb") as f:
+                f.write(body)
+
+            user_path = self.get_request_user_filepath(request, None)
+            if full_info:
+                resp = get_file_info(path, user_path)
+            else:
+                resp = os.path.relpath(path, user_path)
+
+            return web.json_response(resp)
+
+        @routes.delete("/userdata/{file}")
+        async def delete_userdata(request):
+            path = get_user_data_path(request, check_exists=True)
+            if not isinstance(path, str):
+                return path
+
+            os.remove(path)
+
+            return web.Response(status=204)
+
+        @routes.post("/userdata/{file}/move/{dest}")
+        async def move_userdata(request):
+            """
+            Move or rename a user data file.
+
+            This endpoint handles moving or renaming files within a user's data directory, with options for
+            controlling overwrite behavior and response format.
+
+            Path Parameters:
+            - file: The source file path (URL encoded if necessary)
+            - dest: The destination file path (URL encoded if necessary)
+
+            Query Parameters:
+            - overwrite (optional): If "false", prevents overwriting existing files. Defaults to "true".
+            - full_info (optional): If "true", returns detailed file information (path, size, modified time).
+                                  If "false", returns only the relative file path.
+
+            Returns:
+            - 400: If either 'file' or 'dest' parameter is missing
+            - 403: If either requested path is not allowed
+            - 404: If the source file does not exist
+            - 409: If overwrite=false and the destination file already exists
+            - 200: JSON response with either:
+                  - Full file information (if full_info=true)
+                  - Relative file path (if full_info=false)
+            """
+            source = get_user_data_path(request, check_exists=True)
+            if not isinstance(source, str):
+                return source
+
+            dest = get_user_data_path(request, check_exists=False, param="dest")
+            if not isinstance(source, str):
+                return dest
+
+            overwrite = request.query.get("overwrite", 'true') != "false"
+            full_info = request.query.get('full_info', 'false').lower() == "true"
+
+            if not overwrite and os.path.exists(dest):
+                return web.Response(status=409, text="File already exists")
+
+            logging.info(f"moving '{source}' -> '{dest}'")
+            shutil.move(source, dest)
+
+            user_path = self.get_request_user_filepath(request, None)
+            if full_info:
+                resp = get_file_info(dest, user_path)
+            else:
+                resp = os.path.relpath(dest, user_path)
+
+            return web.json_response(resp)

ComfyUI/comfy/checkpoint_pickle.py

@@ -0,0 +1,13 @@
+import pickle
+
+load = pickle.load
+
+class Empty:
+    pass
+
+class Unpickler(pickle.Unpickler):
+    def find_class(self, module, name):
+        #TODO: safe unpickle
+        if module.startswith("pytorch_lightning"):
+            return Empty
+        return super().find_class(module, name)

ComfyUI/comfy/cli_args.py

@@ -0,0 +1,237 @@
+import argparse
+import enum
+import os
+import comfy.options
+
+
+class EnumAction(argparse.Action):
+    """
+    Argparse action for handling Enums
+    """
+    def __init__(self, **kwargs):
+        # Pop off the type value
+        enum_type = kwargs.pop("type", None)
+
+        # Ensure an Enum subclass is provided
+        if enum_type is None:
+            raise ValueError("type must be assigned an Enum when using EnumAction")
+        if not issubclass(enum_type, enum.Enum):
+            raise TypeError("type must be an Enum when using EnumAction")
+
+        # Generate choices from the Enum
+        choices = tuple(e.value for e in enum_type)
+        kwargs.setdefault("choices", choices)
+        kwargs.setdefault("metavar", f"[{','.join(list(choices))}]")
+
+        super(EnumAction, self).__init__(**kwargs)
+
+        self._enum = enum_type
+
+    def __call__(self, parser, namespace, values, option_string=None):
+        # Convert value back into an Enum
+        value = self._enum(values)
+        setattr(namespace, self.dest, value)
+
+
+parser = argparse.ArgumentParser()
+
+parser.add_argument("--listen", type=str, default="127.0.0.1", metavar="IP", nargs="?", const="0.0.0.0,::", help="Specify the IP address to listen on (default: 127.0.0.1). You can give a list of ip addresses by separating them with a comma like: 127.2.2.2,127.3.3.3 If --listen is provided without an argument, it defaults to 0.0.0.0,:: (listens on all ipv4 and ipv6)")
+parser.add_argument("--port", type=int, default=8188, help="Set the listen port.")
+parser.add_argument("--tls-keyfile", type=str, help="Path to TLS (SSL) key file. Enables TLS, makes app accessible at https://... requires --tls-certfile to function")
+parser.add_argument("--tls-certfile", type=str, help="Path to TLS (SSL) certificate file. Enables TLS, makes app accessible at https://... requires --tls-keyfile to function")
+parser.add_argument("--enable-cors-header", type=str, default=None, metavar="ORIGIN", nargs="?", const="*", help="Enable CORS (Cross-Origin Resource Sharing) with optional origin or allow all with default '*'.")
+parser.add_argument("--max-upload-size", type=float, default=100, help="Set the maximum upload size in MB.")
+
+parser.add_argument("--base-directory", type=str, default=None, help="Set the ComfyUI base directory for models, custom_nodes, input, output, temp, and user directories.")
+parser.add_argument("--extra-model-paths-config", type=str, default=None, metavar="PATH", nargs='+', action='append', help="Load one or more extra_model_paths.yaml files.")
+parser.add_argument("--output-directory", type=str, default=None, help="Set the ComfyUI output directory. Overrides --base-directory.")
+parser.add_argument("--temp-directory", type=str, default=None, help="Set the ComfyUI temp directory (default is in the ComfyUI directory). Overrides --base-directory.")
+parser.add_argument("--input-directory", type=str, default=None, help="Set the ComfyUI input directory. Overrides --base-directory.")
+parser.add_argument("--auto-launch", action="store_true", help="Automatically launch ComfyUI in the default browser.")
+parser.add_argument("--disable-auto-launch", action="store_true", help="Disable auto launching the browser.")
+parser.add_argument("--cuda-device", type=int, default=None, metavar="DEVICE_ID", help="Set the id of the cuda device this instance will use. All other devices will not be visible.")
+parser.add_argument("--default-device", type=int, default=None, metavar="DEFAULT_DEVICE_ID", help="Set the id of the default device, all other devices will stay visible.")
+cm_group = parser.add_mutually_exclusive_group()
+cm_group.add_argument("--cuda-malloc", action="store_true", help="Enable cudaMallocAsync (enabled by default for torch 2.0 and up).")
+cm_group.add_argument("--disable-cuda-malloc", action="store_true", help="Disable cudaMallocAsync.")
+
+
+fp_group = parser.add_mutually_exclusive_group()
+fp_group.add_argument("--force-fp32", action="store_true", help="Force fp32 (If this makes your GPU work better please report it).")
+fp_group.add_argument("--force-fp16", action="store_true", help="Force fp16.")
+
+fpunet_group = parser.add_mutually_exclusive_group()
+fpunet_group.add_argument("--fp32-unet", action="store_true", help="Run the diffusion model in fp32.")
+fpunet_group.add_argument("--fp64-unet", action="store_true", help="Run the diffusion model in fp64.")
+fpunet_group.add_argument("--bf16-unet", action="store_true", help="Run the diffusion model in bf16.")
+fpunet_group.add_argument("--fp16-unet", action="store_true", help="Run the diffusion model in fp16")
+fpunet_group.add_argument("--fp8_e4m3fn-unet", action="store_true", help="Store unet weights in fp8_e4m3fn.")
+fpunet_group.add_argument("--fp8_e5m2-unet", action="store_true", help="Store unet weights in fp8_e5m2.")
+fpunet_group.add_argument("--fp8_e8m0fnu-unet", action="store_true", help="Store unet weights in fp8_e8m0fnu.")
+
+fpvae_group = parser.add_mutually_exclusive_group()
+fpvae_group.add_argument("--fp16-vae", action="store_true", help="Run the VAE in fp16, might cause black images.")
+fpvae_group.add_argument("--fp32-vae", action="store_true", help="Run the VAE in full precision fp32.")
+fpvae_group.add_argument("--bf16-vae", action="store_true", help="Run the VAE in bf16.")
+
+parser.add_argument("--cpu-vae", action="store_true", help="Run the VAE on the CPU.")
+
+fpte_group = parser.add_mutually_exclusive_group()
+fpte_group.add_argument("--fp8_e4m3fn-text-enc", action="store_true", help="Store text encoder weights in fp8 (e4m3fn variant).")
+fpte_group.add_argument("--fp8_e5m2-text-enc", action="store_true", help="Store text encoder weights in fp8 (e5m2 variant).")
+fpte_group.add_argument("--fp16-text-enc", action="store_true", help="Store text encoder weights in fp16.")
+fpte_group.add_argument("--fp32-text-enc", action="store_true", help="Store text encoder weights in fp32.")
+fpte_group.add_argument("--bf16-text-enc", action="store_true", help="Store text encoder weights in bf16.")
+
+parser.add_argument("--force-channels-last", action="store_true", help="Force channels last format when inferencing the models.")
+
+parser.add_argument("--directml", type=int, nargs="?", metavar="DIRECTML_DEVICE", const=-1, help="Use torch-directml.")
+
+parser.add_argument("--oneapi-device-selector", type=str, default=None, metavar="SELECTOR_STRING", help="Sets the oneAPI device(s) this instance will use.")
+parser.add_argument("--disable-ipex-optimize", action="store_true", help="Disables ipex.optimize default when loading models with Intel's Extension for Pytorch.")
+parser.add_argument("--supports-fp8-compute", action="store_true", help="ComfyUI will act like if the device supports fp8 compute.")
+
+class LatentPreviewMethod(enum.Enum):
+    NoPreviews = "none"
+    Auto = "auto"
+    Latent2RGB = "latent2rgb"
+    TAESD = "taesd"
+
+parser.add_argument("--preview-method", type=LatentPreviewMethod, default=LatentPreviewMethod.NoPreviews, help="Default preview method for sampler nodes.", action=EnumAction)
+
+parser.add_argument("--preview-size", type=int, default=512, help="Sets the maximum preview size for sampler nodes.")
+
+cache_group = parser.add_mutually_exclusive_group()
+cache_group.add_argument("--cache-classic", action="store_true", help="Use the old style (aggressive) caching.")
+cache_group.add_argument("--cache-lru", type=int, default=0, help="Use LRU caching with a maximum of N node results cached. May use more RAM/VRAM.")
+cache_group.add_argument("--cache-none", action="store_true", help="Reduced RAM/VRAM usage at the expense of executing every node for each run.")
+
+attn_group = parser.add_mutually_exclusive_group()
+attn_group.add_argument("--use-split-cross-attention", action="store_true", help="Use the split cross attention optimization. Ignored when xformers is used.")
+attn_group.add_argument("--use-quad-cross-attention", action="store_true", help="Use the sub-quadratic cross attention optimization . Ignored when xformers is used.")
+attn_group.add_argument("--use-pytorch-cross-attention", action="store_true", help="Use the new pytorch 2.0 cross attention function.")
+attn_group.add_argument("--use-sage-attention", action="store_true", help="Use sage attention.")
+attn_group.add_argument("--use-flash-attention", action="store_true", help="Use FlashAttention.")
+
+parser.add_argument("--disable-xformers", action="store_true", help="Disable xformers.")
+
+upcast = parser.add_mutually_exclusive_group()
+upcast.add_argument("--force-upcast-attention", action="store_true", help="Force enable attention upcasting, please report if it fixes black images.")
+upcast.add_argument("--dont-upcast-attention", action="store_true", help="Disable all upcasting of attention. Should be unnecessary except for debugging.")
+
+
+vram_group = parser.add_mutually_exclusive_group()
+vram_group.add_argument("--gpu-only", action="store_true", help="Store and run everything (text encoders/CLIP models, etc... on the GPU).")
+vram_group.add_argument("--highvram", action="store_true", help="By default models will be unloaded to CPU memory after being used. This option keeps them in GPU memory.")
+vram_group.add_argument("--normalvram", action="store_true", help="Used to force normal vram use if lowvram gets automatically enabled.")
+vram_group.add_argument("--lowvram", action="store_true", help="Split the unet in parts to use less vram.")
+vram_group.add_argument("--novram", action="store_true", help="When lowvram isn't enough.")
+vram_group.add_argument("--cpu", action="store_true", help="To use the CPU for everything (slow).")
+
+parser.add_argument("--reserve-vram", type=float, default=None, help="Set the amount of vram in GB you want to reserve for use by your OS/other software. By default some amount is reserved depending on your OS.")
+
+parser.add_argument("--async-offload", action="store_true", help="Use async weight offloading.")
+
+parser.add_argument("--default-hashing-function", type=str, choices=['md5', 'sha1', 'sha256', 'sha512'], default='sha256', help="Allows you to choose the hash function to use for duplicate filename / contents comparison. Default is sha256.")
+
+parser.add_argument("--disable-smart-memory", action="store_true", help="Force ComfyUI to agressively offload to regular ram instead of keeping models in vram when it can.")
+parser.add_argument("--deterministic", action="store_true", help="Make pytorch use slower deterministic algorithms when it can. Note that this might not make images deterministic in all cases.")
+
+class PerformanceFeature(enum.Enum):
+    Fp16Accumulation = "fp16_accumulation"
+    Fp8MatrixMultiplication = "fp8_matrix_mult"
+    CublasOps = "cublas_ops"
+
+parser.add_argument("--fast", nargs="*", type=PerformanceFeature, help="Enable some untested and potentially quality deteriorating optimizations. --fast with no arguments enables everything. You can pass a list specific optimizations if you only want to enable specific ones. Current valid optimizations: fp16_accumulation fp8_matrix_mult cublas_ops")
+
+parser.add_argument("--mmap-torch-files", action="store_true", help="Use mmap when loading ckpt/pt files.")
+parser.add_argument("--disable-mmap", action="store_true", help="Don't use mmap when loading safetensors.")
+
+parser.add_argument("--dont-print-server", action="store_true", help="Don't print server output.")
+parser.add_argument("--quick-test-for-ci", action="store_true", help="Quick test for CI.")
+parser.add_argument("--windows-standalone-build", action="store_true", help="Windows standalone build: Enable convenient things that most people using the standalone windows build will probably enjoy (like auto opening the page on startup).")
+
+parser.add_argument("--disable-metadata", action="store_true", help="Disable saving prompt metadata in files.")
+parser.add_argument("--disable-all-custom-nodes", action="store_true", help="Disable loading all custom nodes.")
+parser.add_argument("--whitelist-custom-nodes", type=str, nargs='+', default=[], help="Specify custom node folders to load even when --disable-all-custom-nodes is enabled.")
+parser.add_argument("--disable-api-nodes", action="store_true", help="Disable loading all api nodes.")
+
+parser.add_argument("--multi-user", action="store_true", help="Enables per-user storage.")
+
+parser.add_argument("--verbose", default='INFO', const='DEBUG', nargs="?", choices=['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'], help='Set the logging level')
+parser.add_argument("--log-stdout", action="store_true", help="Send normal process output to stdout instead of stderr (default).")
+
+# The default built-in provider hosted under web/
+DEFAULT_VERSION_STRING = "comfyanonymous/ComfyUI@latest"
+
+parser.add_argument(
+    "--front-end-version",
+    type=str,
+    default=DEFAULT_VERSION_STRING,
+    help="""
+    Specifies the version of the frontend to be used. This command needs internet connectivity to query and
+    download available frontend implementations from GitHub releases.
+
+    The version string should be in the format of:
+    [repoOwner]/[repoName]@[version]
+    where version is one of: "latest" or a valid version number (e.g. "1.0.0")
+    """,
+)
+
+def is_valid_directory(path: str) -> str:
+    """Validate if the given path is a directory, and check permissions."""
+    if not os.path.exists(path):
+        raise argparse.ArgumentTypeError(f"The path '{path}' does not exist.")
+    if not os.path.isdir(path):
+        raise argparse.ArgumentTypeError(f"'{path}' is not a directory.")
+    if not os.access(path, os.R_OK):
+        raise argparse.ArgumentTypeError(f"You do not have read permissions for '{path}'.")
+    return path
+
+parser.add_argument(
+    "--front-end-root",
+    type=is_valid_directory,
+    default=None,
+    help="The local filesystem path to the directory where the frontend is located. Overrides --front-end-version.",
+)
+
+parser.add_argument("--user-directory", type=is_valid_directory, default=None, help="Set the ComfyUI user directory with an absolute path. Overrides --base-directory.")
+
+parser.add_argument("--enable-compress-response-body", action="store_true", help="Enable compressing response body.")
+
+parser.add_argument(
+    "--comfy-api-base",
+    type=str,
+    default="https://api.comfy.org",
+    help="Set the base URL for the ComfyUI API.  (default: https://api.comfy.org)",
+)
+
+database_default_path = os.path.abspath(
+    os.path.join(os.path.dirname(__file__), "..", "user", "comfyui.db")
+)
+parser.add_argument("--database-url", type=str, default=f"sqlite:///{database_default_path}", help="Specify the database URL, e.g. for an in-memory database you can use 'sqlite:///:memory:'.")
+
+if comfy.options.args_parsing:
+    args = parser.parse_args()
+else:
+    args = parser.parse_args([])
+
+if args.windows_standalone_build:
+    args.auto_launch = True
+
+if args.disable_auto_launch:
+    args.auto_launch = False
+
+if args.force_fp16:
+    args.fp16_unet = True
+
+
+# '--fast' is not provided, use an empty set
+if args.fast is None:
+    args.fast = set()
+# '--fast' is provided with an empty list, enable all optimizations
+elif args.fast == []:
+    args.fast = set(PerformanceFeature)
+# '--fast' is provided with a list of performance features, use that list
+else:
+    args.fast = set(args.fast)

ComfyUI/comfy/clip_config_bigg.json

@@ -0,0 +1,23 @@
+{
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "eos_token_id": 49407,
+  "hidden_act": "gelu",
+  "hidden_size": 1280,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 32,
+  "pad_token_id": 1,
+  "projection_dim": 1280,
+  "torch_dtype": "float32",
+  "vocab_size": 49408
+}

ComfyUI/comfy/clip_model.py

@@ -0,0 +1,244 @@
+import torch
+from comfy.ldm.modules.attention import optimized_attention_for_device
+import comfy.ops
+
+class CLIPAttention(torch.nn.Module):
+    def __init__(self, embed_dim, heads, dtype, device, operations):
+        super().__init__()
+
+        self.heads = heads
+        self.q_proj = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device)
+        self.k_proj = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device)
+        self.v_proj = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device)
+
+        self.out_proj = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device)
+
+    def forward(self, x, mask=None, optimized_attention=None):
+        q = self.q_proj(x)
+        k = self.k_proj(x)
+        v = self.v_proj(x)
+
+        out = optimized_attention(q, k, v, self.heads, mask)
+        return self.out_proj(out)
+
+ACTIVATIONS = {"quick_gelu": lambda a: a * torch.sigmoid(1.702 * a),
+               "gelu": torch.nn.functional.gelu,
+               "gelu_pytorch_tanh": lambda a: torch.nn.functional.gelu(a, approximate="tanh"),
+}
+
+class CLIPMLP(torch.nn.Module):
+    def __init__(self, embed_dim, intermediate_size, activation, dtype, device, operations):
+        super().__init__()
+        self.fc1 = operations.Linear(embed_dim, intermediate_size, bias=True, dtype=dtype, device=device)
+        self.activation = ACTIVATIONS[activation]
+        self.fc2 = operations.Linear(intermediate_size, embed_dim, bias=True, dtype=dtype, device=device)
+
+    def forward(self, x):
+        x = self.fc1(x)
+        x = self.activation(x)
+        x = self.fc2(x)
+        return x
+
+class CLIPLayer(torch.nn.Module):
+    def __init__(self, embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations):
+        super().__init__()
+        self.layer_norm1 = operations.LayerNorm(embed_dim, dtype=dtype, device=device)
+        self.self_attn = CLIPAttention(embed_dim, heads, dtype, device, operations)
+        self.layer_norm2 = operations.LayerNorm(embed_dim, dtype=dtype, device=device)
+        self.mlp = CLIPMLP(embed_dim, intermediate_size, intermediate_activation, dtype, device, operations)
+
+    def forward(self, x, mask=None, optimized_attention=None):
+        x += self.self_attn(self.layer_norm1(x), mask, optimized_attention)
+        x += self.mlp(self.layer_norm2(x))
+        return x
+
+
+class CLIPEncoder(torch.nn.Module):
+    def __init__(self, num_layers, embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations):
+        super().__init__()
+        self.layers = torch.nn.ModuleList([CLIPLayer(embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations) for i in range(num_layers)])
+
+    def forward(self, x, mask=None, intermediate_output=None):
+        optimized_attention = optimized_attention_for_device(x.device, mask=mask is not None, small_input=True)
+
+        if intermediate_output is not None:
+            if intermediate_output < 0:
+                intermediate_output = len(self.layers) + intermediate_output
+
+        intermediate = None
+        for i, l in enumerate(self.layers):
+            x = l(x, mask, optimized_attention)
+            if i == intermediate_output:
+                intermediate = x.clone()
+        return x, intermediate
+
+class CLIPEmbeddings(torch.nn.Module):
+    def __init__(self, embed_dim, vocab_size=49408, num_positions=77, dtype=None, device=None, operations=None):
+        super().__init__()
+        self.token_embedding = operations.Embedding(vocab_size, embed_dim, dtype=dtype, device=device)
+        self.position_embedding = operations.Embedding(num_positions, embed_dim, dtype=dtype, device=device)
+
+    def forward(self, input_tokens, dtype=torch.float32):
+        return self.token_embedding(input_tokens, out_dtype=dtype) + comfy.ops.cast_to(self.position_embedding.weight, dtype=dtype, device=input_tokens.device)
+
+
+class CLIPTextModel_(torch.nn.Module):
+    def __init__(self, config_dict, dtype, device, operations):
+        num_layers = config_dict["num_hidden_layers"]
+        embed_dim = config_dict["hidden_size"]
+        heads = config_dict["num_attention_heads"]
+        intermediate_size = config_dict["intermediate_size"]
+        intermediate_activation = config_dict["hidden_act"]
+        num_positions = config_dict["max_position_embeddings"]
+        self.eos_token_id = config_dict["eos_token_id"]
+
+        super().__init__()
+        self.embeddings = CLIPEmbeddings(embed_dim, num_positions=num_positions, dtype=dtype, device=device, operations=operations)
+        self.encoder = CLIPEncoder(num_layers, embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations)
+        self.final_layer_norm = operations.LayerNorm(embed_dim, dtype=dtype, device=device)
+
+    def forward(self, input_tokens=None, attention_mask=None, embeds=None, num_tokens=None, intermediate_output=None, final_layer_norm_intermediate=True, dtype=torch.float32):
+        if embeds is not None:
+            x = embeds + comfy.ops.cast_to(self.embeddings.position_embedding.weight, dtype=dtype, device=embeds.device)
+        else:
+            x = self.embeddings(input_tokens, dtype=dtype)
+
+        mask = None
+        if attention_mask is not None:
+            mask = 1.0 - attention_mask.to(x.dtype).reshape((attention_mask.shape[0], 1, -1, attention_mask.shape[-1])).expand(attention_mask.shape[0], 1, attention_mask.shape[-1], attention_mask.shape[-1])
+            mask = mask.masked_fill(mask.to(torch.bool), -torch.finfo(x.dtype).max)
+
+        causal_mask = torch.full((x.shape[1], x.shape[1]), -torch.finfo(x.dtype).max, dtype=x.dtype, device=x.device).triu_(1)
+
+        if mask is not None:
+            mask += causal_mask
+        else:
+            mask = causal_mask
+
+        x, i = self.encoder(x, mask=mask, intermediate_output=intermediate_output)
+        x = self.final_layer_norm(x)
+        if i is not None and final_layer_norm_intermediate:
+            i = self.final_layer_norm(i)
+
+        if num_tokens is not None:
+            pooled_output = x[list(range(x.shape[0])), list(map(lambda a: a - 1, num_tokens))]
+        else:
+            pooled_output = x[torch.arange(x.shape[0], device=x.device), (torch.round(input_tokens).to(dtype=torch.int, device=x.device) == self.eos_token_id).int().argmax(dim=-1),]
+        return x, i, pooled_output
+
+class CLIPTextModel(torch.nn.Module):
+    def __init__(self, config_dict, dtype, device, operations):
+        super().__init__()
+        self.num_layers = config_dict["num_hidden_layers"]
+        self.text_model = CLIPTextModel_(config_dict, dtype, device, operations)
+        embed_dim = config_dict["hidden_size"]
+        self.text_projection = operations.Linear(embed_dim, embed_dim, bias=False, dtype=dtype, device=device)
+        self.dtype = dtype
+
+    def get_input_embeddings(self):
+        return self.text_model.embeddings.token_embedding
+
+    def set_input_embeddings(self, embeddings):
+        self.text_model.embeddings.token_embedding = embeddings
+
+    def forward(self, *args, **kwargs):
+        x = self.text_model(*args, **kwargs)
+        out = self.text_projection(x[2])
+        return (x[0], x[1], out, x[2])
+
+
+class CLIPVisionEmbeddings(torch.nn.Module):
+    def __init__(self, embed_dim, num_channels=3, patch_size=14, image_size=224, model_type="", dtype=None, device=None, operations=None):
+        super().__init__()
+
+        num_patches = (image_size // patch_size) ** 2
+        if model_type == "siglip_vision_model":
+            self.class_embedding = None
+            patch_bias = True
+        else:
+            num_patches = num_patches + 1
+            self.class_embedding = torch.nn.Parameter(torch.empty(embed_dim, dtype=dtype, device=device))
+            patch_bias = False
+
+        self.patch_embedding = operations.Conv2d(
+            in_channels=num_channels,
+            out_channels=embed_dim,
+            kernel_size=patch_size,
+            stride=patch_size,
+            bias=patch_bias,
+            dtype=dtype,
+            device=device
+        )
+
+        self.position_embedding = operations.Embedding(num_patches, embed_dim, dtype=dtype, device=device)
+
+    def forward(self, pixel_values):
+        embeds = self.patch_embedding(pixel_values).flatten(2).transpose(1, 2)
+        if self.class_embedding is not None:
+            embeds = torch.cat([comfy.ops.cast_to_input(self.class_embedding, embeds).expand(pixel_values.shape[0], 1, -1), embeds], dim=1)
+        return embeds + comfy.ops.cast_to_input(self.position_embedding.weight, embeds)
+
+
+class CLIPVision(torch.nn.Module):
+    def __init__(self, config_dict, dtype, device, operations):
+        super().__init__()
+        num_layers = config_dict["num_hidden_layers"]
+        embed_dim = config_dict["hidden_size"]
+        heads = config_dict["num_attention_heads"]
+        intermediate_size = config_dict["intermediate_size"]
+        intermediate_activation = config_dict["hidden_act"]
+        model_type = config_dict["model_type"]
+
+        self.embeddings = CLIPVisionEmbeddings(embed_dim, config_dict["num_channels"], config_dict["patch_size"], config_dict["image_size"], model_type=model_type, dtype=dtype, device=device, operations=operations)
+        if model_type == "siglip_vision_model":
+            self.pre_layrnorm = lambda a: a
+            self.output_layernorm = True
+        else:
+            self.pre_layrnorm = operations.LayerNorm(embed_dim)
+            self.output_layernorm = False
+        self.encoder = CLIPEncoder(num_layers, embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations)
+        self.post_layernorm = operations.LayerNorm(embed_dim)
+
+    def forward(self, pixel_values, attention_mask=None, intermediate_output=None):
+        x = self.embeddings(pixel_values)
+        x = self.pre_layrnorm(x)
+        #TODO: attention_mask?
+        x, i = self.encoder(x, mask=None, intermediate_output=intermediate_output)
+        if self.output_layernorm:
+            x = self.post_layernorm(x)
+            pooled_output = x
+        else:
+            pooled_output = self.post_layernorm(x[:, 0, :])
+        return x, i, pooled_output
+
+class LlavaProjector(torch.nn.Module):
+    def __init__(self, in_dim, out_dim, dtype, device, operations):
+        super().__init__()
+        self.linear_1 = operations.Linear(in_dim, out_dim, bias=True, device=device, dtype=dtype)
+        self.linear_2 = operations.Linear(out_dim, out_dim, bias=True, device=device, dtype=dtype)
+
+    def forward(self, x):
+        return self.linear_2(torch.nn.functional.gelu(self.linear_1(x[:, 1:])))
+
+class CLIPVisionModelProjection(torch.nn.Module):
+    def __init__(self, config_dict, dtype, device, operations):
+        super().__init__()
+        self.vision_model = CLIPVision(config_dict, dtype, device, operations)
+        if "projection_dim" in config_dict:
+            self.visual_projection = operations.Linear(config_dict["hidden_size"], config_dict["projection_dim"], bias=False)
+        else:
+            self.visual_projection = lambda a: a
+
+        if "llava3" == config_dict.get("projector_type", None):
+            self.multi_modal_projector = LlavaProjector(config_dict["hidden_size"], 4096, dtype, device, operations)
+        else:
+            self.multi_modal_projector = None
+
+    def forward(self, *args, **kwargs):
+        x = self.vision_model(*args, **kwargs)
+        out = self.visual_projection(x[2])
+        projected = None
+        if self.multi_modal_projector is not None:
+            projected = self.multi_modal_projector(x[1])
+
+        return (x[0], x[1], out, projected)

ComfyUI/comfy/clip_vision.py

@@ -0,0 +1,148 @@
+from .utils import load_torch_file, transformers_convert, state_dict_prefix_replace
+import os
+import torch
+import json
+import logging
+
+import comfy.ops
+import comfy.model_patcher
+import comfy.model_management
+import comfy.utils
+import comfy.clip_model
+import comfy.image_encoders.dino2
+
+class Output:
+    def __getitem__(self, key):
+        return getattr(self, key)
+    def __setitem__(self, key, item):
+        setattr(self, key, item)
+
+def clip_preprocess(image, size=224, mean=[0.48145466, 0.4578275, 0.40821073], std=[0.26862954, 0.26130258, 0.27577711], crop=True):
+    image = image[:, :, :, :3] if image.shape[3] > 3 else image
+    mean = torch.tensor(mean, device=image.device, dtype=image.dtype)
+    std = torch.tensor(std, device=image.device, dtype=image.dtype)
+    image = image.movedim(-1, 1)
+    if not (image.shape[2] == size and image.shape[3] == size):
+        if crop:
+            scale = (size / min(image.shape[2], image.shape[3]))
+            scale_size = (round(scale * image.shape[2]), round(scale * image.shape[3]))
+        else:
+            scale_size = (size, size)
+
+        image = torch.nn.functional.interpolate(image, size=scale_size, mode="bicubic", antialias=True)
+        h = (image.shape[2] - size)//2
+        w = (image.shape[3] - size)//2
+        image = image[:,:,h:h+size,w:w+size]
+    image = torch.clip((255. * image), 0, 255).round() / 255.0
+    return (image - mean.view([3,1,1])) / std.view([3,1,1])
+
+IMAGE_ENCODERS = {
+    "clip_vision_model": comfy.clip_model.CLIPVisionModelProjection,
+    "siglip_vision_model": comfy.clip_model.CLIPVisionModelProjection,
+    "dinov2": comfy.image_encoders.dino2.Dinov2Model,
+}
+
+class ClipVisionModel():
+    def __init__(self, json_config):
+        with open(json_config) as f:
+            config = json.load(f)
+
+        self.image_size = config.get("image_size", 224)
+        self.image_mean = config.get("image_mean", [0.48145466, 0.4578275, 0.40821073])
+        self.image_std = config.get("image_std", [0.26862954, 0.26130258, 0.27577711])
+        model_class = IMAGE_ENCODERS.get(config.get("model_type", "clip_vision_model"))
+        self.load_device = comfy.model_management.text_encoder_device()
+        offload_device = comfy.model_management.text_encoder_offload_device()
+        self.dtype = comfy.model_management.text_encoder_dtype(self.load_device)
+        self.model = model_class(config, self.dtype, offload_device, comfy.ops.manual_cast)
+        self.model.eval()
+
+        self.patcher = comfy.model_patcher.ModelPatcher(self.model, load_device=self.load_device, offload_device=offload_device)
+
+    def load_sd(self, sd):
+        return self.model.load_state_dict(sd, strict=False)
+
+    def get_sd(self):
+        return self.model.state_dict()
+
+    def encode_image(self, image, crop=True):
+        comfy.model_management.load_model_gpu(self.patcher)
+        pixel_values = clip_preprocess(image.to(self.load_device), size=self.image_size, mean=self.image_mean, std=self.image_std, crop=crop).float()
+        out = self.model(pixel_values=pixel_values, intermediate_output=-2)
+
+        outputs = Output()
+        outputs["last_hidden_state"] = out[0].to(comfy.model_management.intermediate_device())
+        outputs["image_embeds"] = out[2].to(comfy.model_management.intermediate_device())
+        outputs["penultimate_hidden_states"] = out[1].to(comfy.model_management.intermediate_device())
+        outputs["mm_projected"] = out[3]
+        return outputs
+
+def convert_to_transformers(sd, prefix):
+    sd_k = sd.keys()
+    if "{}transformer.resblocks.0.attn.in_proj_weight".format(prefix) in sd_k:
+        keys_to_replace = {
+            "{}class_embedding".format(prefix): "vision_model.embeddings.class_embedding",
+            "{}conv1.weight".format(prefix): "vision_model.embeddings.patch_embedding.weight",
+            "{}positional_embedding".format(prefix): "vision_model.embeddings.position_embedding.weight",
+            "{}ln_post.bias".format(prefix): "vision_model.post_layernorm.bias",
+            "{}ln_post.weight".format(prefix): "vision_model.post_layernorm.weight",
+            "{}ln_pre.bias".format(prefix): "vision_model.pre_layrnorm.bias",
+            "{}ln_pre.weight".format(prefix): "vision_model.pre_layrnorm.weight",
+        }
+
+        for x in keys_to_replace:
+            if x in sd_k:
+                sd[keys_to_replace[x]] = sd.pop(x)
+
+        if "{}proj".format(prefix) in sd_k:
+            sd['visual_projection.weight'] = sd.pop("{}proj".format(prefix)).transpose(0, 1)
+
+        sd = transformers_convert(sd, prefix, "vision_model.", 48)
+    else:
+        replace_prefix = {prefix: ""}
+        sd = state_dict_prefix_replace(sd, replace_prefix)
+    return sd
+
+def load_clipvision_from_sd(sd, prefix="", convert_keys=False):
+    if convert_keys:
+        sd = convert_to_transformers(sd, prefix)
+    if "vision_model.encoder.layers.47.layer_norm1.weight" in sd:
+        json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_g.json")
+    elif "vision_model.encoder.layers.30.layer_norm1.weight" in sd:
+        json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_h.json")
+    elif "vision_model.encoder.layers.22.layer_norm1.weight" in sd:
+        embed_shape = sd["vision_model.embeddings.position_embedding.weight"].shape[0]
+        if sd["vision_model.encoder.layers.0.layer_norm1.weight"].shape[0] == 1152:
+            if embed_shape == 729:
+                json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_siglip_384.json")
+            elif embed_shape == 1024:
+                json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_siglip_512.json")
+        elif embed_shape == 577:
+            if "multi_modal_projector.linear_1.bias" in sd:
+                json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_vitl_336_llava.json")
+            else:
+                json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_vitl_336.json")
+        else:
+            json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_vitl.json")
+    elif "embeddings.patch_embeddings.projection.weight" in sd:
+        json_config = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "image_encoders"), "dino2_giant.json")
+    else:
+        return None
+
+    clip = ClipVisionModel(json_config)
+    m, u = clip.load_sd(sd)
+    if len(m) > 0:
+        logging.warning("missing clip vision: {}".format(m))
+    u = set(u)
+    keys = list(sd.keys())
+    for k in keys:
+        if k not in u:
+            sd.pop(k)
+    return clip
+
+def load(ckpt_path):
+    sd = load_torch_file(ckpt_path)
+    if "visual.transformer.resblocks.0.attn.in_proj_weight" in sd:
+        return load_clipvision_from_sd(sd, prefix="visual.", convert_keys=True)
+    else:
+        return load_clipvision_from_sd(sd)