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---
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title: Wan2GP
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app_file: wgp.py
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sdk: gradio
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sdk_version: 5.23.0
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---
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# WanGP
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-----
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<p align="center">
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<b>WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor</b>
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</p>
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WanGP supports the Wan (and derived models), Hunyuan Video and LTV Video models with:
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- Low VRAM requirements (as low as 6 GB of VRAM is sufficient for certain models)
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- Support for old GPUs (RTX 10XX, 20xx, ...)
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- Very Fast on the latest GPUs
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- Easy to use Full Web based interface
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- Auto download of the required model adapted to your specific architecture
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- Tools integrated to facilitate Video Generation : Mask Editor, Prompt Enhancer, Temporal and Spatial Generation
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- Loras Support to customize each model
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- Queuing system : make your shopping list of videos to generate and come back later
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**Discord Server to get Help from Other Users and show your Best Videos:** https://discord.gg/g7efUW9jGV
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**Follow DeepBeepMeep on Twitter/X to get the Latest News**: https://x.com/deepbeepmeep
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## π₯ Latest Updates
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### June 11 2025: WanGP v5.5
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π *Hunyuan Video Custom Audio*: it is similar to Hunyuan Video Avatar except there isn't any lower limit on the number of frames and you can use your reference images in a different context than the image itself\
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*Hunyuan Video Custom Edit*: Hunyuan Video Controlnet, use it to do inpainting and replace a person in a video while still keeping his poses. Similar to Vace but less restricted than the Wan models in terms of content...
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### June 6 2025: WanGP v5.41
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π Bonus release: Support for **AccVideo** Lora to speed up x2 Video generations in Wan models. Check the Loras documentation to get the usage instructions of AccVideo.\
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You will need to do a *pip install -r requirements.txt*
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### June 6 2025: WanGP v5.4
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π World Exclusive : **Hunyuan Video Avatar** Support ! You won't need 80 GB of VRAM nor 32 GB oF VRAM, just 10 GB of VRAM will be sufficient to generate up to 15s of high quality speech / song driven Video at a high speed with no quality degradation. Support for TeaCache included.\
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Here is a link to the original repo where you will find some very interesting documentation and examples. https://github.com/Tencent-Hunyuan/HunyuanVideo-Avatar. Kudos to the Hunyuan Video Avatar team for the best model of its kind.\
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Also many thanks to Reevoy24 for his repackaging / completing the documentation
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### May 28 2025: WanGP v5.31
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π Added **Phantom 14B**, a model that you can use to transfer objects / people in the video. My preference goes to Vace that remains the king of controlnets.
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VACE improvements: Better sliding window transitions, image mask support in Matanyone, new Extend Video feature, and enhanced background removal options.
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### May 26, 2025: WanGP v5.3
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π Settings management revolution! Now you can:
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- Select any generated video and click *Use Selected Video Settings* to instantly reuse its configuration
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- Drag & drop videos to automatically extract their settings metadata
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- Export/import settings as JSON files for easy sharing and backup
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### May 20, 2025: WanGP v5.2
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π **CausVid support** - Generate videos in just 4-12 steps with the new distilled Wan model! Also added experimental MoviiGen for 1080p generation (20GB+ VRAM required). Check the Loras documentation to get the usage instructions of CausVid.
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### May 18, 2025: WanGP v5.1
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π **LTX Video 13B Distilled** - Generate high-quality videos in less than one minute!
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### May 17, 2025: WanGP v5.0
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π **One App to Rule Them All!** Added Hunyuan Video and LTX Video support, plus Vace 14B and integrated prompt enhancer.
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See full changelog: **[Changelog](docs/CHANGELOG.md)**
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## π Table of Contents
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- [π Quick Start](#-quick-start)
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- [π¦ Installation](#-installation)
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- [π― Usage](#-usage)
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- [π Documentation](#-documentation)
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- [π Related Projects](#-related-projects)
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## π Quick Start
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**One-click installation:** Get started instantly with [Pinokio App](https://pinokio.computer/)
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**Manual installation:**
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```bash
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git clone https://github.com/deepbeepmeep/Wan2GP.git
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cd Wan2GP
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conda create -n wan2gp python=3.10.9
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conda activate wan2gp
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pip install torch==2.6.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu124
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pip install -r requirements.txt
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```
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**Run the application:**
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```bash
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python wgp.py # Text-to-video (default)
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python wgp.py --i2v # Image-to-video
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```
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## π¦ Installation
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For detailed installation instructions for different GPU generations:
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- **[Installation Guide](docs/INSTALLATION.md)** - Complete setup instructions for RTX 10XX to RTX 50XX
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## π― Usage
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### Basic Usage
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- **[Getting Started Guide](docs/GETTING_STARTED.md)** - First steps and basic usage
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- **[Models Overview](docs/MODELS.md)** - Available models and their capabilities
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### Advanced Features
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- **[Loras Guide](docs/LORAS.md)** - Using and managing Loras for customization
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- **[VACE ControlNet](docs/VACE.md)** - Advanced video control and manipulation
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- **[Command Line Reference](docs/CLI.md)** - All available command line options
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## π Documentation
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- **[Changelog](docs/CHANGELOG.md)** - Latest updates and version history
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- **[Troubleshooting](docs/TROUBLESHOOTING.md)** - Common issues and solutions
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## π Related Projects
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### Other Models for the GPU Poor
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- **[HuanyuanVideoGP](https://github.com/deepbeepmeep/HunyuanVideoGP)** - One of the best open source Text to Video generators
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- **[Hunyuan3D-2GP](https://github.com/deepbeepmeep/Hunyuan3D-2GP)** - Image to 3D and text to 3D tool
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- **[FluxFillGP](https://github.com/deepbeepmeep/FluxFillGP)** - Inpainting/outpainting tools based on Flux
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- **[Cosmos1GP](https://github.com/deepbeepmeep/Cosmos1GP)** - Text to world generator and image/video to world
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- **[OminiControlGP](https://github.com/deepbeepmeep/OminiControlGP)** - Flux-derived application for object transfer
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- **[YuE GP](https://github.com/deepbeepmeep/YuEGP)** - Song generator with instruments and singer's voice
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---
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<p align="center">
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Made with β€οΈ by DeepBeepMeep
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</p>
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