image-server-wheels

Prebuilt Python 3.11 wheels.

Contents

File	OS	CUDA	Torch	Source	Notes
ace_step-1.6.0-py3-none-any.whl	any	—	—	built by us	Pure-Python, cross-platform
block_sparse_attn-0.0.2-cp311-cp311-win_amd64.whl	Windows x64	12.8	2.8	built by us	Used by video pipeline
q8_kernels-0.0.5-cp311-cp311-win_amd64.whl	Windows x64	12.8	2.8	built by us	Used by LTX video
flash_attn-2.8.2+cu128torch2.8-cp311-cp311-win_amd64.whl	Windows x64	12.8	2.8	mjun0812/flash-attention-prebuild-wheels	Mirror of upstream release
flash_attn-2.8.3+cu130torch2.10-cp311-cp311-win_amd64.whl	Windows x64	13.0	2.10	mjun0812/flash-attention-prebuild-wheels	Mirror of upstream release
flash_attn-2.8.3+cu128torch2.8-cp311-cp311-linux_x86_64.whl	Linux x86_64	12.8	2.8	mjun0812/flash-attention-prebuild-wheels	Mirror of upstream release

Direct install

BASE=https://huggingface.co/deAPI-ai/image-server-wheels/resolve/main

# Windows
pip install $BASE/q8_kernels-0.0.5-cp311-cp311-win_amd64.whl
pip install $BASE/block_sparse_attn-0.0.2-cp311-cp311-win_amd64.whl
pip install $BASE/flash_attn-2.8.2+cu128torch2.8-cp311-cp311-win_amd64.whl
pip install --no-deps $BASE/ace_step-1.6.0-py3-none-any.whl

# Linux
pip install --no-deps $BASE/flash_attn-2.8.3+cu128torch2.8-cp311-cp311-linux_x86_64.whl

Credits

flash_attn wheels are mirrored from mjun0812/flash-attention-prebuild-wheels — all credit for those builds goes to the upstream author. We mirror them here so the install scripts have a single source of truth and do not break if upstream release URLs change.

The remaining wheels (ace_step, block_sparse_attn, q8_kernels) were built in-house.