fixed docs and requirements

README.md

@@ -233,7 +233,7 @@ git clone https://github.com/deepbeepmeep/Wan2GP.git
 cd Wan2GP
 conda create -n wan2gp python=3.10.9
 conda activate wan2gp
-pip install torch==2.7.0 torchvision==0.22.0 torchaudio==2.7.0 --extra-index-url https://download.pytorch.org/whl/cu124
+pip install torch==2.7.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu128
 pip install -r requirements.txt
 ```
 

docs/INSTALLATION.md

@@ -8,7 +8,7 @@ This guide covers installation for different GPU generations and operating syste
 - Conda or Python venv
 - Compatible GPU (RTX 10XX or newer recommended)
 
-## Installation for RTX 10XX to RTX 40XX (Stable)
+## Installation for RTX 10XX to RTX 50XX (Stable)
 
 This installation uses PyTorch 2.7.0 which is well-tested and stable.
 
@@ -28,7 +28,7 @@ conda activate wan2gp
 
 ```shell
 # Install PyTorch 2.7.0 with CUDA 12.4
-pip install torch==2.7.0 torchvision==0.22.0 torchaudio==2.7.0 --extra-index-url https://download.pytorch.org/whl/cu124
+pip install torch==2.7.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu128
 ```
 
 ### Step 3: Install Dependencies
@@ -40,7 +40,7 @@ pip install -r requirements.txt
 
 ### Step 4: Optional Performance Optimizations
 
-#### Sage Attention (30% faster)
+#### Sage Attention (30% faster), don't install with RTX 50xx as it is not compatible
 
 ```shell
 # Windows only: Install Triton
@@ -71,62 +71,7 @@ pip install -e .
 pip install flash-attn==2.7.2.post1
 ```
 
-## Installation for RTX 50XX (Beta)
+ 
-
-RTX 50XX GPUs require PyTorch 2.7.0 (beta). This version may be less stable.
-
-⚠️ **Important:** Use Python 3.10 for compatibility with pip wheels.
-
-### Step 1: Setup Environment
-
-```shell
-# Clone and setup (same as above)
-python -m pip install "setuptools<=75.8.2" --force-reinstall
-git clone https://github.com/deepbeepmeep/Wan2GP.git
-cd Wan2GP
-conda create -n wan2gp python=3.10.9
-conda activate wan2gp
-```
-
-### Step 2: Install PyTorch Beta
-
-```shell
-# Install PyTorch 2.7.0 with CUDA 12.8
-pip install torch==2.7.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu128
-```
-
-### Step 3: Install Dependencies
-
-```shell
-pip install -r requirements.txt
-```
-
-### Step 4: Optional Optimizations for RTX 50XX
-
-#### Sage Attention
-
-```shell
-# Windows
-pip install triton-windows 
-pip install sageattention==1.0.6 
-
-# Linux
-pip install sageattention==1.0.6
-```
-
-#### Sage 2 Attention
-
-```shell
-# Windows
-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 (manual compilation)
-git clone https://github.com/thu-ml/SageAttention
-cd SageAttention 
-pip install -e .
-```
-
 ## Attention Modes
 
 WanGP supports several attention implementations:
@@ -136,6 +81,12 @@ WanGP supports several attention implementations:
 - **Sage2**: 40% speed boost 
 - **Flash**: Good performance, may be complex to install on Windows
 
+### Attention GPU Compatibility
+
+- RTX 10XX, 20XX: SDPA
+- RTX 30XX, 40XX: SDPA, Flash Attention, Xformers, Sage, Sage2
+- RTX 50XX: SDPA, SDPA, Flash Attention, Xformers, Sage2
+
 ## Performance Profiles
 
 Choose a profile based on your hardware:
@@ -163,10 +114,5 @@ If Sage attention doesn't work:
 - Use Profile 4 for lower VRAM usage
 - Consider using 1.3B models instead of 14B models
 
-### GPU Compatibility
-
-- RTX 10XX, 20XX: Supported with SDPA attention
-- RTX 30XX, 40XX: Full feature support
-- RTX 50XX: Beta support with PyTorch 2.7.0
 
 For more troubleshooting, see [TROUBLESHOOTING.md](TROUBLESHOOTING.md) 

requirements.txt

@@ -11,7 +11,7 @@ sentencepiece
 open_clip_torch>=2.29.0
 
 # Video & media
-moviepy @ git+https://github.com/Zulko/moviepy.git
+moviepy==1.0.3
 av
 ffmpeg-python
 pygame>=2.1.0
@@ -45,6 +45,7 @@ torchdiffeq>=0.2.5
 tensordict>=0.6.1
 mmgp==3.5.10
 peft==0.15.0
+matplotlib
 
 # Utilities
 ftfy