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SegFault42 /HeliosGen

AI image and video pipelines on a local node canvas
ComfyUI workflowNo licenseEnglish README
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HeliosGen screenshot from its README
From the HeliosGen README on GitHub.

About HeliosGen

HeliosGen is a free desktop app for chaining AI image and video models. Drag prompts, models and reference images onto a node canvas, then run them in order or side by side. It runs on your machine, but you need your own paid kie.ai API key. Only macOS (Apple Silicon) builds are out so far.

Best for: Indie animators who want a local, node-based canvas to chain image and video models without a subscription.

What it does

  • Drags and connects nodes to build reusable image and video pipelines
  • Runs several models in one pipeline, in parallel or in sequence
  • Keeps generation history in a local SQLite database
  • Shows a JSON prompt preview and an AI prompt improvement helper
  • Can send GPT Image 2 through your ChatGPT Codex subscription instead

Quickstart

Rewritten from the README. Check the repo for the latest steps.

  1. 1
    Download the macOS build from the GitHub releases page.
  2. 2
    On macOS, right-click the app and choose Open once, or run the command below.
    xattr -cr /Applications/HeliosGen.app
  3. 3
    Launch HeliosGen, open Settings → API Keys and paste your kie.ai API key.
  4. 4
    Start generating; on macOS your data sits in the command below.
    ~/Library/Application Support/cash.sdd.helios.desktop/
  5. 5
    To build from source: the command below, cd HeliosGen, npm install, npm run desktop:build (needs Node 22+, Rust and Tauri system deps).
    git clone https://github.com/SegFault42/HeliosGen

Models and languages

Models it works with

  • Veo 3.1
  • Kling 3.0
  • Seedance 2.0
  • Nano Banana Pro
  • GPT Image 2
  • Seedream 5.0
  • Z-Image
  • Grok Imagine
  • HappyHorse
  • Gemini Omni Video

Interface and docs

  • English

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Reviewed Oct 1, 2026. Repo metadata lists no license file, though the README says MIT; Windows and Linux builds aren't published yet. We write these descriptions ourselves. The repo's own docs are the final word.