Turn a character, style, or concept into a ready-to-train LoRA dataset - consistent multi-angle shots, smart captions (prose / Danbooru / e621 / dedicated taggers), and trainer-ready configs for Flux, SDXL, Krea, Pony & more. Local or cloud, per stage. No training launched, no telemetry.
What is the EnragedAntelope/dataset-deviser GitHub project? Description: "Turn a character, style, or concept into a ready-to-train LoRA dataset - consistent multi-angle shots, smart captions (prose / Danbooru / e621 / dedicated taggers), and trainer-ready configs for Flux, SDXL, Krea, Pony & more. Local or cloud, per stage. No training launched, no telemetry.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard — paste it after the AI opens.
Clone via HTTPS
Clone via SSH
Download ZIP
Download main.zipReport bugs or request features on the dataset-deviser issue tracker:
Open GitHub Issues