Generate video, images, audio and 3D.
Your full production pipeline, from first input to reusable assets.
Hundreds of models. For humans and AI agents.
Create hands-on, bring your own agent, or use Deepy, our built-in agent.
A selection of supported models. Explore hundreds of models and variants across all four media types.
The full production pipeline
Preprocess your inputs, enhance your prompts, generate and finish your media. Keep the assets you create ready to use across models, projects and future generations.
Prepare references with masks, background removal, cropping, pose and depth extraction, or audio cleanup.
Shape your idea with model-aware prompt enhancement that uses your references, timing and generation settings.
Create video, images, audio and 3D. Queue jobs, guide the model and inspect the results in one workspace.
Upscale, refine details, interpolate frames, mix audio or replace a soundtrack with the built-in finishing tools.
Bring generated images, clips, audio and rendered 3D views into new jobs. Build on earlier generations across models and media.
Hands-on creation
Prepare inputs, enhance prompts, choose your models and finish the results. Your tools and reusable assets stay together in one browser workspace.
Explore the platformCreation with an agent
Connect your preferred agent through MCP, or work with Deepy, WanGP’s built-in agent. Let an agent coordinate preparation, generation and finishing while you steer the result.
Meet DeepyA faster, refreshed UI keeps your work within reach. Check progress, browse results and launch new generations from another browser connected to your running WanGP server.
Set up access from another deviceDescribe what you want to create. Deepy plans the steps, uses WanGP’s models and tools, and checks intermediate results with you. Continue in the full workspace or the phone-friendly Deepy Web App.
Explore Deepy and watch the demo
Connect your preferred MCP-compatible agent to WanGP. It can discover models, validate settings, queue jobs and inspect outputs alongside your browser workspace.
Connect through MCPBuilt for agents
Model discovery, clear input requirements and preflight checks help agents prepare valid requests. Images, sampled video frames and rendered 3D views let them inspect the results and choose the next step.
Use the browser and MCP together
python wgp.py --mcp-webuiConnect your agent to
http://127.0.0.1:8000/mcpOne running WanGP instance shares the queue, gallery and loaded models with your browser.
Asset reuse in practice
Build on earlier generations: turn an image from your gallery into a 3D asset, render a new angle and use that view to begin a video. Each step carries your creative work forward.
Explore 3D workflowsGenerate an image or bring your own reference.
Build a mesh or textured asset with a compatible 3D model.
Rotate the asset in the 3D viewer and save a new view.
Use the rendered image as the starting point for your next shot.
More from the GPU you already own
MMGP v4 adds major speed and memory improvements to WanGP’s existing optimizations. v18 brings faster VAE decoding for LTX, Wan and HunyuanVideo, plus CUDA Graph acceleration on compatible workflows.
Memory profiles, quantized checkpoints and on-demand model downloads help fit the work to your machine. Select models start at 6 GB of VRAM; requirements depend on the model, resolution and settings.
Watch progress and launch the next generation from another connected browser. Shared queues and galleries keep you in step while your computer does the generation.
Audio is first-class
Create songs with YuE2 and ACE-Step, compose with MiniMax Music 3, or generate speech with Qwen3 TTS. Work on music and voice in the same platform you use for images, video and 3D.
Explore the creative toolbox
GET STARTED / INSTALL
Three installation paths, presented in recommended reading order. Choose the level of control that fits you.
Project-maintained scripts
Clone the official repository, then use its installer to create and manage an isolated environment suited to your hardware.
scripts\install.bat./scripts/install.shOne-click app manager
Install and run WanGP through Pinokio. The WanGP README recommends Morpheus's community scripts wan2gp and wan2gp-amd.
All-in-one desktop launcher
Install, update and launch WanGP from one window. Hardware detection and Auto-Tune help select the right environment and memory profile.
Need GPU-specific details? Use the official guides before changing Python, PyTorch, CUDA or ROCm versions.
QUESTIONS / FAQ
Practical answers drawn from the project documentation and the questions that recur in the WanGP community.
WanGP is one generative platform for video, images, audio and 3D. Run hundreds of models and variants on your own GPU, create directly in the browser, use Deepy, the built-in agent, or connect your own AI agent through MCP. WanGP is free to run locally under its Community License.
Yes. Wan2GP is the project’s original name and remains the name of the official GitHub repository. WanGP is the current product name. Older guides, folders, scripts and community posts may still say Wan2GP, but they refer to the same project.
WanGP is free to install and run locally, including for internal company use. The official project will never ask for a license fee, subscription or donation simply to run WanGP on your own computer. Paid hosting, SaaS, white-labeling and other restricted commercialization require separate permission; model and third-party component licenses also continue to apply. Read the WanGP Community License 2.0
Select smaller models can run with as little as 6 GB of VRAM. Larger models, higher resolutions and longer videos require more. The practical requirement depends on the chosen model, quantization, memory profile, frame count and resolution—so start with a recommended low-VRAM model and scale up.
WanGP supports NVIDIA GTX 10-series, RTX 20-series and newer GPUs, with generation options tailored to each generation. AMD support covers several RDNA 2, RDNA 3, RDNA 3.5 and RDNA 4 families; follow the dedicated AMD guide because setup and compatibility vary by GPU architecture and operating system.
Choose one of three paths. First: the scripts in the official GitHub repository for the most direct, project-maintained setup on Windows, Linux or macOS. Second: Pinokio for a graphical app-manager workflow. Third: Wan2GP Desktop for an all-in-one Windows launcher with hardware detection and maintenance tools.
No. WanGP downloads model checkpoints and optional preprocessing or postprocessing assets only when a requested workflow needs them. First use can involve a substantial download, so leave enough disk space and allow it to finish.
Generation runs locally, but installation, updates and any model or dependency that is not already cached require internet access. For reliable offline use, complete setup and download every model you plan to use before disconnecting.
Reduce resolution or frame count, choose a smaller or quantized model, lower the batch size, and use a more memory-efficient WanGP profile. Closing GPU-accelerated apps also helps. The repository includes scripts that launch Chrome without GPU acceleration, which can return additional VRAM to WanGP.
Speed depends on the model, GPU, attention backend, quantization, memory profile, resolution and number of steps. Use the hardware-appropriate installer settings first. Optional accelerators such as Triton and SageAttention can help on compatible GPUs; the official installation guide documents the supported combinations.
Keep using the same path you installed with. Official-script installations use scripts/update.bat on Windows or scripts/update.sh on Linux/macOS. Pinokio installations update through Pinokio. Wan2GP Desktop installations use the launcher’s built-in maintenance tools.
Join the official Discord community for setup help, workflow ideas and sharing generations. For reproducible bugs, search existing GitHub issues first and open a new issue with your operating system, GPU, VRAM, installation method, model, settings and terminal error.
Yes. Connect to the same running WanGP server from another browser or use the phone-friendly Deepy Web App. Galleries, progress and the queue stay synchronized, and you can launch new generations. WanGP must remain running on your computer; use the network access guide to configure remote access.
Yes. Connect an MCP-compatible agent to discover models, check inputs, queue jobs and inspect results. Launch WanGP with --mcp-webui to share the running instance, queue and gallery with the browser. Deepy is the built-in option if you prefer to start with an agent already integrated into WanGP. Read the MCP setup guide.
Built in the open
WanGP grows through open development and a community of creators, tinkerers and contributors.
This is the official WanGP website. WanGP is free to install and run locally—no license fee, subscription or donation is required. See the license terms.
Use the official GitHub repository linked here. WanGP is not affiliated with third-party services using similar names unless the repository explicitly says otherwise.