33rd of 11 in Image and video

open-generative-ai

Image, video and lip-sync studio UI that calls MuAPI, with optional local engines

Stars
30.3k
License
MIT
Last commit
Oct 2026
Last release
May 2026
Language
JavaScript
Stars, last 29 weeks+27,692
24 Mar 2026: 2,626 stars31 Mar 2026: 2,696 stars7 Apr 2026: 3,195 stars14 Apr 2026: 4,681 stars21 Apr 2026: 5,938 stars28 Apr 2026: 9,647 stars5 May 2026: 11,353 stars12 May 2026: 12,800 stars19 May 2026: 15,806 stars26 May 2026: 16,752 stars2 Jun 2026: 17,668 stars9 Jun 2026: 18,424 stars16 Jun 2026: 19,503 stars23 Jun 2026: 20,336 stars30 Jun 2026: 21,713 stars7 Jul 2026: 22,464 stars14 Jul 2026: 23,303 stars21 Jul 2026: 24,025 stars28 Jul 2026: 24,903 stars4 Aug 2026: 25,418 stars11 Aug 2026: 26,003 stars18 Aug 2026: 26,525 stars25 Aug 2026: 27,019 stars1 Sept 2026: 27,457 stars8 Sept 2026: 28,071 stars15 Sept 2026: 28,532 stars22 Sept 2026: 29,012 stars29 Sept 2026: 29,401 stars6 Oct 2026: 29,770 stars13 Oct 2026: 30,318 stars

2,626 on 24 Mar 202630,318 on 13 Oct 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

A JavaScript app, available as a web build and an Electron desktop app, that front-ends hosted image, video, audio and lip-sync models through the MuAPI service. The desktop app can also run local inference: a bundled stable-diffusion.cpp engine for SD 1.5, SDXL and Z-Image, or a user-installed Wan2GP for video models and Flux. Most generation depends on a MuAPI account, and the README promotes a paid white-label offering.

Who it is for: Creators wanting one UI for hosted and local image and video generation

Strengths

  • Desktop app can run sd.cpp locally with Metal, CUDA, Vulkan or ROCm, no API key
  • Wan2GP integration runs video models locally or on a remote GPU box via MCP
  • Multi-image input accepts up to 14 reference images on compatible edit models
  • Installers provided for macOS (arm64, x64), Windows and Linux (AppImage, .deb)

Weaknesses

  • Cloud generation requires MuAPI; the 600+/200+ model claims run through that paid service
  • Local inference is desktop-only; the hosted web version always uses cloud APIs
  • Installers are unsigned, so macOS Gatekeeper and Windows SmartScreen need manual bypass
  • Z-Image needs about 16 GB RAM and is reported to hang 8 GB Macs

What it needs

  • RAM ≥ 16 GB
  • GPU optional
  • Docker + Compose
  • Needs MuAPI account/API key, Wan2GP (optional, for local video), stable-diffusion.cpp (bundled), Node.js (for source builds)
  • Models: Flux, Nano Banana, Kling, Sora, Veo

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