Check its license. It has its own license: read it before using it for work.

Is WanGP still maintained?

Yes, active. Last change today. Latest release manager-v0.1.15, 4 days ago.

Widely used. 12k stars, 1 years old. As with any download, get it from the official repo.

Assembly instructions

deepbeepmeep/WanGP

A fast AI Video Generator for the GPU Poor. Supports Minimax H3, LTX-2.3/2.5, Wan 2.1/2.2, Qwen Image 1/2, Krea 2, Hunyuan Video, LTX Video and Flux.

Python#ai#flux#flux2#generative-ai

Is it free?: Check its licenseIt has its own license: read it before using it for work.
Still maintained?: Yes, activeLast change today. Latest release manager-v0.1.15, 4 days ago.
Can I trust it?: Widely used12k stars, 1 years old. As with any download, get it from the official repo.

Saved setup from 9 h ago

Will it work on macOS?

Your system

No ready-made macOS app or install command in manager-v0.1.15. There are apps for Windows.

No reports for macOS yet.

GitManual AI Agent reads the 6 key files and writes a step-by-step guide for macOS. Once written, it's saved for everyone.

Add a badge to your README so newcomers find these steps.

[![Setup manual](https://gitmanual.com/deepbeepmeep/WanGP/badge.svg)](https://gitmanual.com/deepbeepmeep/WanGP)

The README mentions NVIDIA CUDA. Check its hardware section: some features (or all of them) may need an NVIDIA GPU.
Dockerfile available (base image: nvidia/cuda:12.8.1-cudnn-devel-ubuntu22.04).
Nested projects: manager/package.json, manager/src-tauri/Cargo.toml, mmgp/pyproject.toml, shared/gradio/hierarchy_selector/frontend/package.json and 1 more

.github/workflows/manager-catalog.yml

Dockerfile

README.md

docs/INSTALLATION.md

requirements.txt

setup.py

3,936 files in the repo