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Use torch cu129 for nvidia pytorch nightly. (#8786)

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* update nightly workflow with cu129

* Remove unused file to lower standalone size.
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comfyanonymous 2025-07-03 11:39:11 -07:00 committed by GitHub
parent d9277301d2
commit e9af97ba1a
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2 changed files with 5 additions and 3 deletions
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6
.github/workflows/windows_release_nightly_pytorch.yml vendored
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@ -7,7 +7,7 @@ on:
description: 'cuda version' description: 'cuda version'
required: true required: true
type: string type: string
default: "128" default: "129"
python_minor: python_minor:
description: 'python minor version' description: 'python minor version'
@ -19,7 +19,7 @@ on:
description: 'python patch version' description: 'python patch version'
required: true required: true
type: string type: string
default: "2" default: "5"
# push: # push:
# branches: # branches:
# - master # - master
@ -53,6 +53,8 @@ jobs:
ls ../temp_wheel_dir ls ../temp_wheel_dir
./python.exe -s -m pip install --pre ../temp_wheel_dir/* ./python.exe -s -m pip install --pre ../temp_wheel_dir/*
sed -i '1i../ComfyUI' ./python3${{ inputs.python_minor }}._pth sed -i '1i../ComfyUI' ./python3${{ inputs.python_minor }}._pth
rm ./Lib/site-packages/torch/lib/dnnl.lib #I don't think this is actually used and I need the space
cd .. cd ..
git clone --depth 1 https://github.com/comfyanonymous/taesd git clone --depth 1 https://github.com/comfyanonymous/taesd

2
README.md
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@ -243,7 +243,7 @@ Nvidia users should install stable pytorch using this command:
This is the command to install pytorch nightly instead which might have performance improvements. This is the command to install pytorch nightly instead which might have performance improvements.
```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128``` ```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu129```
#### Troubleshooting #### Troubleshooting