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onnxruntime-gpu-cuda13/onnxruntime_gpu-1.24.0-cp311-cp311-linux_x86_64.whl ADDED
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wheels-for-A1111-on-py312/README.md ADDED
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+ `scikit-image==0.21.0`:
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+ Directly required by A1111;
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+
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+ Alternatively, bump it up to 0.24.0 seems to work well.
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+
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+ `scikit-image>=0.25` requires `pillow>=10`, which breaks xyz plot.
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+
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+ Compiling it on Windows need `clang-cl.exe`, then set `CC=clang-cl` and `CXX=clang-cl`.
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+
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+ ---
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+
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+ `tokenizers==0.13.3`:
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+ Required by `transformers==4.30.2`.
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+
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+ `transformers>=4.35.2` requires tokenizers with cp312 wheel.
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+
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+ However it will break model loading: `Failed to create model quickly; will retry using slow method.`Slow method works well.
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+
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+ Compiling it needs to set `RUSTFLAGS="-W invalid_reference_casting"`.
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+
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+ Tips: Default version of cargo/rustc is 1.75.0 in Ubuntu 24.04, which is too low to compile. Although `rustc-1.82` is available, it can't be used out-of-box.
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+ So the most convenient way is just install `rustup` and then it will download correct version.
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+
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+ ---
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+
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+ `Pillow==9.5.0`:
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+ There's only Windows version for cp312.
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+
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+ If compiling from source, unlike official wheel, no libs would be bundled in the wheel. So it will link system libs.
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+
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+ libtiff5 version is built on colab(Ubuntu 22.04); libtiff6 version is built on wsl Ubuntu 24.04, and also work well on Arch.
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+
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+ Test by `ldd /path-to-site-packages/PIL/_imaging.cpython-312-x86_64-linux-gnu.so`
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