While setting up Wan2.1 on Windows 10/11, I encountered several installation issues:
- PyTorch → CPU-only build installs by default, CUDA not detected.
flash_attn → fails to build on Windows.
- No clear guide for CUDA/PyTorch installation on Windows.
Steps to Reproduce
-
Clone the repo on Windows.
-
Run:
pip install -r requirements.txt
-
Installation fails (see screenshot below).
Expected Behavior
-
Clear installation instructions for Windows users.
-
A dedicated requirements-win.txt with correct dependencies.
-
Correct PyTorch + CUDA install command, e.g.:
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu128
Proposed Solution
- Add a Windows Installation Guide section to the README.
- Provide a
requirements-win.txt with Windows-compatible dependencies.
- Mention known incompatibilities (e.g.,
flash_attn not supported on Windows).
- I have created a solution and pushed it to a new branch:
update/installation_guide.
System Info
- OS: Windows 11 Pro 64-bit
- GPU: NVIDIA RTX (CUDA 12.8 supported)
- Python: 3.10 / 3.11
Additional Context
Windows users currently need to manually adjust dependencies. Adding official support will improve adoption.
Screenshot of installation error:

While setting up Wan2.1 on Windows 10/11, I encountered several installation issues:
flash_attn→ fails to build on Windows.Steps to Reproduce
Clone the repo on Windows.
Run:
Installation fails (see screenshot below).
Expected Behavior
Clear installation instructions for Windows users.
A dedicated
requirements-win.txtwith correct dependencies.Correct PyTorch + CUDA install command, e.g.:
Proposed Solution
requirements-win.txtwith Windows-compatible dependencies.flash_attnnot supported on Windows).update/installation_guide.System Info
Additional Context
Windows users currently need to manually adjust dependencies. Adding official support will improve adoption.
Screenshot of installation error: