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https://github.com/vladmandic/automatic
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update cuda backend to torch==2.14+cuda==13.2
Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
@@ -46,6 +46,7 @@ All-about-optimizations:
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- intercept and profiling hooks
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- on-demand convert standard model on-demand
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- **Compute**
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- cuda: update `torch==2.14.0` with `cuda==13.2`
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- openvino: update `openvino==2026.3.1` with `torch==2.13.0`
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- add `SD_SKIP_AUTOTUNE` env variable to skip triton autotune and use default config for all triton kernels
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*note*: this may improve initial generate time, but may also reduce performance on some models
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@@ -8,6 +8,7 @@
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- LTX: Implement LTX2DFRPipeline
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- ROCm: v10
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- Video: unify execution path for ui and api
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- Torch: update ipex, rocm to torch==2.14
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## Issues
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+1
-1
@@ -647,7 +647,7 @@ def install_cuda():
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if args.use_nightly:
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cmd = os.environ.get('TORCH_COMMAND', '--upgrade --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu132 --extra-index-url https://download.pytorch.org/whl/nightly/cu130')
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else:
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cmd = os.environ.get('TORCH_COMMAND', 'torch==2.13.0+cu132 torchvision==0.28.0+cu132 --index-url https://download.pytorch.org/whl/cu132')
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cmd = os.environ.get('TORCH_COMMAND', 'torch==2.14.0+cu132 torchvision==0.29.0+cu132 --index-url https://download.pytorch.org/whl/cu132')
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return cmd
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