So ComfyUI started as a solo side project ๐Ÿ‘€

๐Ÿ“ฐ Dev.to ยท Stepan Kukharskiy

Learn how ComfyUI started as a solo side project to improve text-to-image generation using Stable Diffusion, and how you can apply similar experimentation to your own projects.

beginner Published 30 Apr 2026
Action Steps
  1. Experiment with Stable Diffusion to understand its capabilities and limitations.
  2. Identify pain points in existing tools and workflows, like chaining models or controlling pipeline steps.
  3. Design and build a new tool or workflow to address these pain points, like ComfyUI.
  4. Test and refine your solution through iterative experimentation and feedback.
  5. Share your project with the community to get feedback and inspire others.
Who Needs to Know This

Solo developers and small teams can benefit from experimenting with new technologies like Stable Diffusion to create innovative solutions, and this story can inspire them to take on similar projects.

Key Insight

๐Ÿ’ก Experimentation and innovation can lead to new solutions and tools, even for complex technologies like Stable Diffusion.

Share This
๐Ÿค– ComfyUI started as a solo side project to improve text-to-image generation with Stable Diffusion! ๐Ÿ’ป What can you build with experimentation and innovation? #AI #StableDiffusion #ComfyUI

Key Takeaways

Learn how ComfyUI started as a solo side project to improve text-to-image generation using Stable Diffusion, and how you can apply similar experimentation to your own projects.

Full Article

Title: So ComfyUI started as a solo side project ๐Ÿ‘€

URL Source: https://dev.to/stepankukharskiy/so-comfyui-started-as-a-solo-side-project-9bc

Published Time: 2026-04-30T04:39:19Z

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Posted on Apr 30

# So ComfyUI started as a solo side project ๐Ÿ‘€

[#beginners](https://dev.to/t/beginners)[#programming](https://dev.to/t/programming)[#opensource](https://dev.to/t/opensource)[#ai](https://dev.to/t/ai)

In early 2023, a developer known as "comfyanonymous" was experimenting with Stable Diffusion. Existing tools were fine for simple text-to-image generation, but frustrating if you wanted to chain models together, mix different passes, or control the exact steps of the pipeline.

So he
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