Rebuilding AUTOMATIC1111 with Gradio Workflow
- ID
- 23126
- Status
- summarized
- Published
- 10 Sep 2026, 8:00 AM
- Fetched
- 10 Sep 2026, 8:10 PM
- Provider
- Hugging Face Blog
- Category
- developer-ai
- Original URL
- https://huggingface.co/blog/gradio-workflow-1111
- Source URL
- https://huggingface.co/blog/feed.xml
Summary
- Score
- 7.0
- Created
- 10 Sep 2026, 8:10 PM
- Tags
- Audience
- developersvibe_codersai-ml-learners
What happened
Hugging Face published a tutorial on rebuilding AUTOMATIC1111's stable-diffusion-webui using Gradio's new `gr.Workflow` feature. The project, 'Workflow1111', is a graph of 11 media pipelines built with 73 nodes, covering text-to-image, hi-res fixes using FLUX.1-Kontext, image-to-image, and LLM-assisted prompt generation using Qwen3-4B. Users can run the pipelines using their own Hugging Face Inference quota.
Why it matters
If you build AI image generation interfaces, Gradio's `gr.Workflow` allows you to construct node-based canvases similar to ComfyUI or AUTOMATIC1111 directly in Python, which you can duplicate and rewire for custom use cases without managing complex frontend dependencies.
Discussion angle
Comparing Gradio's `gr.Workflow` node-based approach to existing tools like ComfyUI for building and sharing custom AI media pipelines.