Lora Pilot: Train. Create. Repeat. (Stable Diffusion workspace)

LoRA Pilot recently passed 20,000 pulls on Docker Hub. To celebrate, I’ve decided to give its purely organic growth a little push with a small campaign. This video is part of it.

It started as tooling for myself. A hobby project that taught me a lot about Python, PyTorch, CUDA, and all the creative ways they can disagree with each other. I never really planned to release it publicly.

Today, LoRA Pilot is an open-source workspace for preparing datasets, training LoRA models, and generating images and video. It brings tools like kohya_ss, ComfyUI and InvokeAI together so you can spend more time creating and less time maintaining your setup.

The vision is simple: make the world of Stable Diffusion accessible to anyone with an idea, including people who don’t want a second job managing dependencies.

Once I released it, the backlog started growing faster than my beard. Development, documentation, support… it’s been a one-man show for longer than it probably should have been.

So if you’d like to contribute, you’re welcome with open arms. Code, docs, testing, design, tutorials: there’s plenty to do, and you don’t need to know the CUDA stack inside out to help.

Good ideas move. This one could use a few more hands.

https://www.lorapilot.com/

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Lora Pilot: Train. Create. Repeat. (Stable Diffusion workspace)