The model is a BiRefNet-based fine-tune with weights on Hugging Face and an MIT-licensed repository. The project includes benchmark data across nine categories, a Python loading example through transformers, a CLI workflow, and a FastAPI service for local HTTP background removal.
Lucida is useful for designers, ecommerce teams, creative automation pipelines, and developers who need alpha masks that preserve subtle edges instead of erasing important visual details. It can run locally, be served through an API, or be tested in a browser demo, making it practical for both experiments and production-style image processing.
