Video
Maestro
A one-click local studio that directs, shoots, and edits AI video for you.
★ 686 SterneCustom (non-commercial)
Anleitung ansehen →Wan2GP ist ein Open-Source-Projekt aus der Kategorie Video von deepbeepmeep (deepbeepmeep/Wan2GP auf GitHub). Es hat 9.911 Sterne auf GitHub und 1.572 Forks, wird unter der Lizenz Custom (WanGP Community 2.0) veröffentlicht und wurde zuletzt am 1. Oktober 2026 auf GitHub aktualisiert.
A lean, fast video generator tuned to squeeze big results out of modest GPUs.
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.
Choose from Wan 2.1/2.2, LTX-2, Hunyuan Video, Qwen Image, or Flux, depending on your VRAM and the look you want.
Enter a text prompt — or an image for image-to-video — and set length, resolution, and steps to match your card.
Optimized attention kernels (Triton, SageAttention and friends) keep render times reasonable even on smaller GPUs.
The whole project is tuned around the “GPU poor”: good results without a 24GB flagship card.
Wan 2.1/2.2, LTX-2, Hunyuan Video, Qwen Image, and Flux behind one consistent interface.
Automated .bat/.sh scripts manage environments, PyTorch, and acceleration kernels for you.
Installs the right Triton, SageAttention, and quantization kernels for your exact GPU and PyTorch combo.
Community Pinokio scripts and a desktop launcher exist if you prefer a guided install.
The same pipeline drives full studio apps like Maestro — start lean here, graduate later.
Download the source with git and move into the folder.
git clone https://github.com/deepbeepmeep/Wan2GP.git
cd Wan2GPMake an isolated Python 3.11 environment with conda.
conda create -n wan2gp python=3.11.14
conda activate wan2gpInstall 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.txtWan2GP 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.
RTX 20-series through 50-series are the documented range, with per-generation install notes. Smaller cards are exactly the target audience.
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.
Yes — the one-click .bat/.sh scripts, community Pinokio scripts, and a desktop launcher by a community member all avoid the manual conda route.
Yes — Qwen Image and Flux support cover image generation alongside the video models.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.