Built a desktop AI media studio that integrates Atlas Cloud workflows — looking for feedback

I've been building an open-source desktop application called Signal Loom, and Atlas Cloud is one of the major AI providers supported by the platform.

The idea is to make it easier to build complete creative workflows that combine language models, image generation, video generation, audio generation, editing, and publishing tools inside a single project.

Current features include:

• Visual node-based workflow builder
• Multi-provider AI integration
• Atlas Cloud support
• Nano Banana support through Atlas Cloud and Google APIs
• Veo video generation support
• FLUX and other image model support
• Layer-based image editing workspace
• Comic, book, and page-layout publishing tools
• Video timeline editing
• Shared project asset management

The Flow workspace lets you build reusable workflows with nodes for prompts, text, images, video, audio, composition, logic, APIs, templates, and custom processing chains.

Example workflows:

Character Reference → Nano Banana → Image Editing → Comic Layout → PDF Export

Script → Prompt Builder → Image Generation → Veo → Timeline Edit → Render

Text Generation → Asset Creation → Book Layout → Publication Export

One of my goals is making it easier to work across multiple models and providers without constantly switching between websites, tools, and folders full of exported assets.

I'd love feedback from Atlas Cloud users:

  • Which Atlas models are you using the most?
  • What workflows are you building?
  • What tooling do you wish existed around Atlas Cloud?

GitHub:
https://github.com/Es00bac/signal-loom/

Posted Jun 10, 2026, 4:36 PM UTC

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