xFormers for Windows (Torch 2.8.0.dev + CUDA 12.8 + Python 3.12)

Prebuilt xformers wheel for Windows 10/11 compatible with:

• Torch: 2.8.0.dev20250502+cu128
• Torchvision: 0.22.0.dev20250502+cu128
• Torchaudio: 2.6.0.dev20250502+cu128
• CUDA: 12.8
• Python: 3.12.x (CPython)

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✅ Installation Instructions

directly install the tested version used in this build:

pip install https://download.pytorch.org/whl/nightly/cu128/torch-2.8.0.dev20250502%2Bcu128-cp312-cp312-win_amd64.whl

Install xformers Wheel

pip install https://huggingface.co/czmahi/xformers-windows-torch2.8-cu128-py312/resolve/main/latest-torch2.8-python3.12-xformers-comfyui-windows/xformers-0.0.31%2B8fc8ec5a.d20250503-cp312-cp312-win_amd64.whl

download manully wheel from the link go the then find then downlaod and install

https://download.pytorch.org/whl/nightly/cu128

torchvision-0.22.0.dev20250502+cu128-cp312-cp312-win_amd64.whl

torchaudio-2.6.0.dev20250502+cu128-cp312-cp312-win_amd64.whl

torch-2.8.0.dev20250502+cu128-cp312-cp312-win_amd64.whl

old version Install PyTorch Nightly (with CUDA 12.8 support)

pip install --upgrade --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128



# 🧱 xFormers for Windows: Torch 2.8.0.dev + CUDA 12.8 + Python 3.12

## ✅ Installation Guide for xFormers (Torch 2.8.0.dev + CUDA 12.8 + Python 3.12)

This prebuilt wheel is tested and built for:

- ✅ Python **3.12.x**
- ✅ PyTorch **2.8.0.dev (nightly)** with **CUDA 12.8**
- ✅ Windows 64-bit
- ✅ RTX 3000 series cards will work nividia Windows 64-bit
### 🔧 1. Install Python 3.12

Download and install from:  
👉 https://www.python.org/downloads/release/python-3120/

Make sure Python and pip are available in your terminal:

```bash
python --version
pip --version

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⚙️ 2. Install Nightly Torch, TorchVision, and TorchAudio

Use the official PyTorch nightly index for CUDA 12.8:

pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128

✅ Confirm version after install:

python -c "import torch; print(torch.__version__)"
# Should show: 2.8.0.dev + cu128

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📦 Installation xformers:

torchaudio must install

pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128

pip install https://download.pytorch.org/whl/nightly/cu128/torch-2.8.0.dev20250416+cu128-cp312-cp312-win_amd64.whl --no-deps

download wheel for local setup: https://download.pytorch.org/whl/nightly/cu128/torch-2.8.0.dev20250416+cu128-cp312-cp312-win_amd64.whl

📦 Installation xformers update version :

before install update version see here for update

https://github.com/czmahi/xformers-windows-torch2.8-cu128-py312/blob/main/README_xformers_install.md

torchaudio must update

pip install --upgrade --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128

wheel:

Install directly via pip from Hugging Face:

pip install https://huggingface.co/czmahi/xformers-windows-torch2.8-cu128-py312/resolve/main/xformers-0.0.30+f2de641e.d20250418-cp312-cp312-win_amd64.whl --no-deps

✅ No need to build from source or downgrade PyTorch!

⚙️ Build Info

• Built from commit c5c0720
• Compatible with:
  • torch==2.8.0.dev20250410+cu128
  • python==3.12.0
  • cuda==12.8

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🔖 Tags

windows, torch-nightly, cu128, python312, xformers, prebuilt, xformers-2.8

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📄 License

This package follows the original BSD-3-Clause License.

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🧠 Credits

• Original repository: facebookresearch/xformers
• Wheel hosted by: czmahi on Hugging Face 🤗

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❤️ Support or Contributions

Open an issue or submit a pull request to help improve this prebuild packaging!