https://github.com/techcow2/wan2gp-one-click-script

A one-click, fully automated script for installing Wan2GP.
https://github.com/techcow2/wan2gp-one-click-script

artificial-intelligence batch-script lowvram nvidia-gpu oneclick texttovideo wan21

Last synced: 10 months ago
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A one-click, fully automated script for installing Wan2GP.

• Host: GitHub
• URL: https://github.com/techcow2/wan2gp-one-click-script
• Owner: techcow2
• License: mit
• Created: 2025-06-02T12:05:59.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-06-02T14:56:02.000Z (about 1 year ago)
• Last Synced: 2025-06-27T00:50:19.347Z (12 months ago)
• Topics: artificial-intelligence, batch-script, lowvram, nvidia-gpu, oneclick, texttovideo, wan21
• Language: Batchfile
• Homepage:
• Size: 28.3 KB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Wan2GP One-Click Automated Installer

This repository provides a one-click, fully automated script for installing [Wan2GP](https://github.com/deepbeepmeep/Wan2GP), an open-source text-to-video and Lora generation suite for NVIDIA GPUs. **Wan2GP is built for the GPU poor—offering low VRAM requirements, fast generation, and an easy-to-use web UI.** The script manages all dependencies, sets up the environment, and launches Wan2GP in your browser.

---

## Features

- Automated installation and launch process

- Detection and installation of Python 3.10 and Git if not present

- NVIDIA GPU detection and selection of compatible CUDA/PyTorch versions

- Setup of all required and optional dependencies (including SageAttention, Triton, and Flash Attention)

- Automatic fallback to compatible attention methods if needed

- No manual setup required

---

## Quick Start

1. Download the `Wan2GP_OneClick_Installer.bat` file from this repository.

2. Right-click the file and select **Run as Administrator**.

3. The script will:

   - Check for Python 3.10 and Git, installing them if needed

   - Detect your NVIDIA GPU and select the appropriate PyTorch and CUDA version

   - Clone the Wan2GP repository

   - Set up a Python virtual environment and install all dependencies

   - Attempt to optimize with SageAttention, Triton, and Flash Attention (if supported)

   - Launch Wan2GP in your browser at [http://localhost:7860](http://localhost:7860)

To relaunch Wan2GP later, run the installer again. It will skip completed installation steps if already set up.

---

## Requirements

- Windows 10/11 (64-bit)

- NVIDIA GPU with CUDA support (GTX 600 series or newer recommended)

- Internet connection

---

## Script Workflow

| Step                  | Action                                                                 |

|-----------------------|------------------------------------------------------------------------|

| Python & Git Check    | Installs Python 3.10.9 and Git if not present                          |

| GPU Detection         | Detects NVIDIA GPU and selects compatible PyTorch/CUDA version         |

| Source Download       | Clones the Wan2GP repository                                           |

| Environment Setup     | Creates and activates a Python virtual environment                     |

| Dependency Install    | Installs PyTorch, Python requirements, and performance enhancements    |

| Launch                | Opens Wan2GP in your browser with the selected attention method        |

If a step fails (such as advanced attention methods), the script will automatically use a compatible alternative.

---

## Troubleshooting

- If no NVIDIA GPU is detected, the script will notify you. Wan2GP requires an NVIDIA GPU for full functionality.

- Ensure the latest NVIDIA drivers are installed.

- A stable internet connection is required for downloading dependencies.

---

## Customization

- The script is designed for automated use, but advanced users can modify it to change Python or CUDA versions, or add custom dependencies.

- All logic is contained in the batch script.

---

## About Wan2GP

Wan2GP is an open-source text-to-video and Lora generation toolkit featuring:

- Video generation with low VRAM requirements

- Web-based user interface

- Support for custom and prebuilt Lora packs

- Optimized for NVIDIA GPUs

See the [Wan2GP GitHub repository](https://github.com/deepbeepmeep/Wan2GP) for more information.

---

## License

This installer script is released under the [MIT License](LICENSE). You are free to use, modify, and distribute this script with proper attribution.