# Diffusers-workflow - A JSON-based workflow engine for Diffusers **URL:** \ **Category:** 🧨 Diffusers\ **Created:** [December 25, 2025, 7:46pm UTC](https://discuss.huggingface.co/t/diffusers-workflow-a-json-based-workflow-engine-for-diffusers/171960 "2025-12-25T19:46:11Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![dkackman](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/dkackman/32/56859_2.png) [@dkackman](https://discuss.huggingface.co/u/dkackman)\ **Post date:** [December 25, 2025, 7:46pm UTC](https://discuss.huggingface.co/t/diffusers-workflow-a-json-based-workflow-engine-for-diffusers/171960/1 "2025-12-25T19:46:11Z")
Hi all, I’ve been dabbling with diffusion and diffusers since the early days and never made the jump to tools like ComfyUI. Instead, I kept iterating on my own approach, and it eventually grew into something that might be useful to others. **diffusers-workflow** is a declarative, JSON-based workflow engine for diffusers. The idea is simple: define a generation pipeline in JSON, run it from the command line, no custom Python required. It wraps a good chunk of what diffusers is capable of, focusing on my own desire to experiment and tweak without a ton of overhead, while not exposing the entire complexity of the tech stack. A few highlights: - Text-to-image/video and image-to-image/video workflows and lots of examples - Variable substitution so workflows become reusable templates - Composable multi-step workflows (e.g., generate image → generate video) - Interactive REPL that keeps models loaded for faster iteration - Built-in tasks for prompt augmentation, upscaling, background removal, etc. If you prefer staying close to diffusers but want a more structured way to define and run pipelines, this might be worth a look. GitHub: [https://github.com/dkackman/diffusers-workflow](https://github.com/dkackman/diffusers-workflow) Feedback welcome! Don PS: not affiliated with huggingface or diffusers. just a fan