LibreAI / Video / Wan2GP
// video · deepbeepmeep/Wan2GP

Wan2GP

A lean, fast video generator tuned to squeeze big results out of modest GPUs.

★ 9.9k stars⑂ 1.6k forksCustom (WanGP Community 2.0)updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

Wan2GP is an open-source video project by deepbeepmeep (deepbeepmeep/Wan2GP on GitHub). It has 9,911 GitHub stars and 1,572 forks, is released under the Custom (WanGP Community 2.0) license, and was last updated on GitHub on 1 October 2026.

GitHub stars
9,911
Forks
1,572
License
Custom (WanGP Community 2.0)
Last updated on GitHub
1 October 2026
Category
Video
Listing
Full install guide
Official site
Read the docs
// how it works

How it works

  1. Install with one click

    Double-click the .bat installer on Windows or run the .sh script on Linux/macOS. It creates the environment and installs the best acceleration kernels for your GPU automatically.

  2. Pick your model

    Choose from Wan 2.1/2.2, LTX-2, Hunyuan Video, Qwen Image, or Flux, depending on your VRAM and the look you want.

  3. Describe the shot

    Enter a text prompt — or an image for image-to-video — and set length, resolution, and steps to match your card.

  4. Generate fast

    Optimized attention kernels (Triton, SageAttention and friends) keep render times reasonable even on smaller GPUs.

// features

Why people love it

Built for modest GPUs

The whole project is tuned around the “GPU poor”: good results without a 24GB flagship card.

Five model families

Wan 2.1/2.2, LTX-2, Hunyuan Video, Qwen Image, and Flux behind one consistent interface.

One-click installers

Automated .bat/.sh scripts manage environments, PyTorch, and acceleration kernels for you.

Matched acceleration

Installs the right Triton, SageAttention, and quantization kernels for your exact GPU and PyTorch combo.

Pinokio & desktop options

Community Pinokio scripts and a desktop launcher exist if you prefer a guided install.

Powers bigger studios

The same pipeline drives full studio apps like Maestro — start lean here, graduate later.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source with git and move into the folder.

    git clone https://github.com/deepbeepmeep/Wan2GP.git
    cd Wan2GP
  2. Step 2 — Create the environment

    Make an isolated Python 3.11 environment with conda.

    conda create -n wan2gp python=3.11.14
    conda activate wan2gp
  3. Step 3 — Install PyTorch and requirements

    Install the CUDA build of PyTorch, then the project requirements. (Or skip all of this and double-click the .bat auto-installer.)

    pip install torch==2.10.0 torchvision==0.25.0 torchaudio==2.10.0 --index-url https://download.pytorch.org/whl/cu130
    pip install -r requirements.txt
// use cases

What you can build

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// faq

Questions, answered

What does the license allow?

Wan2GP uses the WanGP Community License 2.0 — a custom license whose plain-English summary says you may use it for free (including inside a company), modify it, and sell the outputs you create. Read LICENSE.txt in the repo for the full terms.

Which GPUs work?

RTX 20-series through 50-series are the documented range, with per-generation install notes. Smaller cards are exactly the target audience.

How is it different from Maestro?

Maestro builds on this pipeline and wraps it in a full studio with Director mode. Wan2GP is the leaner, faster core for people who want the engine directly.

Is there an easier install?

Yes — the one-click .bat/.sh scripts, community Pinokio scripts, and a desktop launcher by a community member all avoid the manual conda route.

Does it do images too?

Yes — Qwen Image and Flux support cover image generation alongside the video models.

// keep exploring

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// alternatives

Alternatives in Video

The most-starred other Video projects in the LibreAI catalogue — the realistic shortlist if Wan2GP is not the right fit.

Get Wan2GP

Free and open — grab the source, star the repo, and start creating.