Unleash the power of the best open-source video generative models directly in your browser.
| Founded year: | 2026 |
| Country: | United States of America |
| Funding rounds: | Not set |
| Total funding amount: | Not set |
Description
WanGP (available at ) is a high-performance, open-source AI video generation interface designed to run advanced models like Wan 2.1, LTX Video, and Hunyuan Video on consumer hardware.Often nicknamed the "AI Video Generator for the GPU Poor," its primary goal is accessibility—allowing users to generate high-quality videos with as little as 6GB to 8GB of VRAM.
Key Features:
- Low Hardware Requirements: Optimized to work on older NVIDIA and AMD GPUs that typically struggle with video models.
- Comprehensive Toolset: Includes built-in features for text-to-video, image-to-video, upscaling (spatial and temporal), and motion control.
- VACE ControlNet: Allows for precise video editing, including motion transfer, character animation, and inpainting/outpainting.
- User-Friendly Interface: Provides a streamlined web UI that eliminates the need for complex node-based workflows like ComfyUI.
- Optimization Options: Features advanced memory management (quantization) and "Pause/Resume" buttons to free up VRAM for other tasks during long generations.
