Wan projects on GitHub

Likely the Wan family of AI video generation models served by inference engines.

As of October 17, 2026, the most-starred Wan projects on GitHub are sglang (37.2K stars), AnimateAnyone (14.8K stars) and WanGP (10.6K stars). GitHub.Locker tracks 8 Wan repositories with 71.8K stars combined. The fastest-growing on October 16 was WanGP, with +42 stars in a day.

8Projects

71.8KStars in total

+91Stars in a day

Browse in the catalog →github.com/topics/wan ↗

Hot right now

Most stars gained in a day · Oct 16

+42

WanGP

deepbeepmeep/WanGP · ★ 10.6K

WanGP is a one-stop open source app for running top generative AI models for video, image, and audio/TTS generation, built specifically to work on modest consumer GPUs (the 'GPU Poor').

+38

sglang

sgl-project/sglang · ★ 37.2K

SGLang is a high-performance serving framework for large language models and multimodal models, built to deliver low-latency, high-throughput inference from a single GPU up to large distributed clusters.

stable-diffusion.cpp

leejet/stable-diffusion.cpp · ★ 7.7K

A pure C/C++ inference engine for diffusion models like Stable Diffusion, Flux, Wan, Qwen Image, and Z-Image, built the same way as llama.cpp so you can generate images and videos without heavy Python dependencies.

HarnessEval-W

MirroS-Lab/HarnessEval-W · ★ 307

HarnessEval-W is an agentified evaluation pipeline for benchmarking world/video-generation models: instead of a brute-force scalar score, it decomposes each evaluation case into sub-questions answered by specialized sub-agents, then aggregates the evidence into a transparent, auditable verdict.

The all-time top

8 projects · by stars

#1 · sgl-project/sglang
sglang
SGLang is a high-performance serving framework for large language models and multimodal models, built to deliver low-latency, high-throughput inference from a single GPU up to large distributed clusters.
37.2K
#2 · HumanAIGC/AnimateAnyone
AnimateAnyone
Animate Anyone is a research project for character animation: it turns a character image into video, synthesizing consistent and controllable motion.
14.8K
#3 · deepbeepmeep/WanGP
WanGP
WanGP is a one-stop open source app for running top generative AI models for video, image, and audio/TTS generation, built specifically to work on modest consumer GPUs (the 'GPU Poor').
10.6K

4
stable-diffusion.cpp
7.7Kleejet/stable-diffusion.cpp · C++
A pure C/C++ inference engine for diffusion models like Stable Diffusion, Flux, Wan, Qwen Image, and Z-Image, built the same way as llama.cpp so you can generate images and videos without heavy Python dependencies.
5
LoongForge
687baidu-baige/LoongForge · Python
An open-source training framework from Baidu's Baige team for LLMs, VLMs, diffusion and embodied models, built for faster training and lower cost on NVIDIA GPUs and Kunlun XPUs.
6
DreamX-Creator
312AMAP-ML/DreamX-Creator · Python
DreamX-Creator is an open-source research framework for native joint audio-video generation: it produces video and a synchronized audio track together, refined up to 2K resolution.
7
HarnessEval-W
307MirroS-Lab/HarnessEval-W · Python
HarnessEval-W is an agentified evaluation pipeline for benchmarking world/video-generation models: instead of a brute-force scalar score, it decomposes each evaluation case into sub-questions answered by specialized sub-agents, then aggregates the evidence into a transparent, auditable verdict.
8
SCoPE
214TencentARC/SCoPE · Python
SCoPE is a research release that adds camera control to a pretrained video diffusion transformer (Wan2.2-I2V-A14B): given a first frame, a text prompt and a camera trajectory, it generates a video that follows the requested camera motion.