Update README.md

README.md

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+
+# 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)
+
+---
+
+## ✅ 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)
+```bash
+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
 
-🚀 Precompiled `xformers` wheel for **Windows**, built from the official [facebookresearch/xformers](https://github.com/facebookresearch/xformers) repository.  
-This build is fully compatible with:
-- **PyTorch 2.8.0.dev + cu128**
-- **Python 3.12**
-- **CUDA 12.8**
+## ✅ 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
+```
 
 ---
 
-## 📦 Installation
+### ⚙️ 2. Install Nightly Torch, TorchVision, and TorchAudio
 
-Install directly via `pip` from Hugging Face:
+Use the official PyTorch nightly index for CUDA 12.8:
 
 ```bash
-pip install https://huggingface.co/czmahi/xformers-windows-torch2.8-cu128-py312/resolve/main/xformers-0.0.30%2Bc5c0720c.d20250413-cp312-cp312-win_amd64.whl --no-deps
+pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128
 ```
 
-✅ No need to build from source or downgrade PyTorch!
+> ✅ Confirm version after install:
+
+```bash
+python -c "import torch; print(torch.__version__)"
+# Should show: 2.8.0.dev + cu128
+```
 
 ---
-## 📦 update: 
- 
-torchaudio
+## 📦 Installation xformers: 
 
-pip install --upgrade --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128
+torchaudio must install 
+```bash
+pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128
+```
 
-wheel: 
+```bash
+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
 
-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
 
-## 📦 Installation xformers update
+ 
+```bash
+pip install --upgrade --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128
+```
+wheel: 
 
 Install directly via `pip` from Hugging Face: