01VRAM / RAM orchestration
Faster. With even less VRAM.
MMGP v4 adds speed and memory improvements to WanGP’s existing optimizations. v18 also accelerates LTX, Wan and HunyuanVideo VAE decoding and adds CUDA Graph acceleration for compatible workflows. Actual gains depend on the model, settings and hardware.
Faster generation · Efficient decoding · Low VRAM02More formats, more choices
Quantized checkpoints
Choose compatible INT8, FP8, GGUF, NF4, NVFP4 or Nunchaku checkpoints to reduce memory use or take advantage of your GPU. Formats and acceleration options vary by model and hardware.
int8 · fp8 · GGUF · NF4 · NV FP403Fetch what your setup needs
Just-in-time downloads
WanGP fetches compatible model files for your hardware. Optional preprocessing and postprocessing checkpoints download only when a workflow needs them, reducing unnecessary first-run downloads and disk use.
Models and tools arrive on demand04Old cards to new accelerators
Broad GPU reach
The project documents paths for older NVIDIA generations and current RTX hardware, plus dedicated AMD setup for supported RDNA 2, 3, 3.5 and 4 families.
NVIDIA + AMD05Keep work moving
Queue & headless runs
Build, edit, pause and save queues across video, image, audio and 3D. Check progress and add work from another connected browser, or run saved batches headlessly from the command line.
Save · resume · batch06Built to connect
Built for humans and AI agents
Use Deepy, the built-in agent, or connect your own through MCP. Agents can discover models, validate requests before generation, queue jobs and inspect images, video frames and 3D views. Run MCP alongside the browser to share the same queue, gallery and loaded models.
Bring your own agent · Or use Deepy