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Added instructions to install on RTX 50xx

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README.md
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@ -19,6 +19,7 @@ In this repository, we present **Wan2.1**, a comprehensive and open suite of vid
## 🔥 Latest News!!
* Mar 20 2025: 👋 Good news ! Official support for RTX 50xx please check the installation instructions below.
* Mar 19 2025: 👋 Wan2.1GP v3.2:
- Added Classifier-Free Guidance Zero Star. The video should match better the text prompt (especially with text2video) at no performance cost: many thanks to the **CFG Zero * Team:**\
Dont hesitate to give them a star if you appreciate the results: https://github.com/WeichenFan/CFG-Zero-star
@ -88,7 +89,7 @@ You will find the original Wan2.1 Video repository here: https://github.com/Wan-
## Installation Guide for Linux and Windows
## Installation Guide for Linux and Windows for GPUs up to RTX40xx
**If you are looking for a one click installation, just go to the Pinokio App store : https://pinokio.computer/**
@ -109,15 +110,23 @@ pip install torch==2.6.0 torchvision torchaudio --index-url https://download.pyt
# 2. Install pip dependencies
pip install -r requirements.txt
# 3.1 optional Sage attention support (30% faster, easy to install on Linux but much harder on Windows)
# 3.1 optional Sage attention support (30% faster)
# Windows only: extra step only needed for windows as triton is included in pytorch with the Linux version of pytorch
pip install triton-windows
# For both Windows and Linux
pip install sageattention==1.0.6
# or for Sage Attention 2 (40% faster, sorry only manual compilation for the moment)
# 3.2 optional Sage 2 attention support (40% faster)
# Windows only
pip install triton-windows
pip install https://github.com/woct0rdho/SageAttention/releases/download/v2.1.1-windows/sageattention-2.1.1+cu126torch2.6.0-cp310-cp310-win_amd64.whl
# Linux only (sorry only manual compilation for the moment, but is straight forward with Linux)
git clone https://github.com/thu-ml/SageAttention
cd SageAttention
pip install -e .
# 3.2 optional Flash attention support (easy to install on Linux but much harder on Windows)
# 3.3 optional Flash attention support (easy to install on Linux but may be complex on Windows as it will try to compile the cuda kernels)
pip install flash-attn==2.7.2.post1
```
@ -125,17 +134,38 @@ pip install flash-attn==2.7.2.post1
Note pytorch *sdpa attention* is available by default. It is worth installing *Sage attention* (albout not as simple as it sounds) because it offers a 30% speed boost over *sdpa attention* at a small quality cost.
In order to install Sage, you will need to install also Triton. If Triton is installed you can turn on *Pytorch Compilation* which will give you an additional 20% speed boost and reduced VRAM consumption.
### Ready to use python wheels for Windows users
I provide here links to simplify the installation for Windows users with Python 3.10 / Pytorch 2.51 / Cuda 12.4. I won't be able to provide support neither guarantee they do what they should do.
- Triton attention (needed for *pytorch compilation* and *Sage attention*)
```
pip install https://github.com/woct0rdho/triton-windows/releases/download/v3.2.0-windows.post9/triton-3.2.0-cp310-cp310-win_amd64.whl # triton for pytorch 2.6.0
## Installation Guide for Linux and Windows for GPUs up to RTX50xx
RTX50XX are only supported by pytorch starting from pytorch 2.7.0 which is still in beta. Therefore this version may be less stable.\
It is important to use Python 3.10 otherwise the pip wheels may not be compatible.
```
# 0 Download the source and create a Python 3.10.9 environment using conda or create a venv using python
git clone https://github.com/deepbeepmeep/Wan2GP.git
cd Wan2GP
conda create -n wan2gp python=3.10.9
conda activate wan2gp
- Sage attention
```
pip install https://github.com/deepbeepmeep/SageAttention/raw/refs/heads/main/releases/sageattention-2.1.0-cp310-cp310-win_amd64.whl # for pytorch 2.6.0 (experimental, if it works, otherwise you you will need to install and compile manually, see above)
# 1 Install pytorch 2.7.0:
pip install torch==2.7.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu128
# 2. Install pip dependencies
pip install -r requirements.txt
# 3.1 optional Sage attention support (30% faster)
# Windows only: extra step only needed for windows as triton is included in pytorch with the Linux version of pytorch
pip install triton-windows
# For both Windows and Linux
pip install sageattention==1.0.6
# 3.2 optional Sage 2 attention support (40% faster)
# Windows only
pip install triton-windows
pip install https://github.com/woct0rdho/SageAttention/releases/download/v2.1.1-windows/sageattention-2.1.1+cu128torch2.7.0-cp310-cp310-win_amd64.whl
# Linux only (sorry only manual compilation for the moment, but is straight forward with Linux)
git clone https://github.com/thu-ml/SageAttention
cd SageAttention
pip install -e .
```
## Run the application