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* Feature: Add BriaFiboEditPipeline to diffusers * Introduced BriaFiboEditPipeline class with necessary backend requirements. * Updated import structures in relevant modules to include BriaFiboEditPipeline. * Ensured compatibility with existing pipelines and type checking. * Feature: Introduce Bria Fibo Edit Pipeline * Added BriaFiboEditPipeline class for structured JSON-native image editing. * Created documentation for the new pipeline in bria_fibo_edit.md. * Updated import structures to include the new pipeline and its components. * Added unit tests for the BriaFiboEditPipeline to ensure functionality and correctness. * Enhancement: Update Bria Fibo Edit Pipeline and Documentation * Refined the Bria Fibo Edit model description for clarity and detail. * Added usage instructions for model authentication and login. * Implemented mask handling functions in the BriaFiboEditPipeline for improved image editing capabilities. * Updated unit tests to cover new mask functionalities and ensure input validation. * Adjusted example code in documentation to reflect changes in the pipeline's usage. * Update Bria Fibo Edit documentation with corrected Hugging Face page link * add dreambooth training script * style and quality * Delete temp.py * Enhancement: Improve JSON caption validation in DreamBoothDataset * Updated the clean_json_caption function to handle both string and dictionary inputs for captions. * Added error handling to raise a ValueError for invalid caption types, ensuring better input validation. * Add datasets dependency to requirements_fibo_edit.txt * Add bria_fibo_edit to docs table of contents * Fix dummy objects ordering * Fix BriaFiboEditPipeline to use passed generator parameter The pipeline was ignoring the generator parameter and only using the seed parameter. This caused non-deterministic outputs in tests that pass a seeded generator. * Remove fibo_edit training script and related files --------- Co-authored-by: kfirbria <kfir@bria.ai>
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Bria Fibo Edit
Fibo Edit is an 8B parameter image-to-image model that introduces a new paradigm of structured control, operating on JSON inputs paired with source images to enable deterministic and repeatable editing workflows. Featuring native masking for granular precision, it moves beyond simple prompt-based diffusion to offer explicit, interpretable control optimized for production environments. Its lightweight architecture is designed for deep customization, empowering researchers to build specialized "Edit" models for domain-specific tasks while delivering top-tier aesthetic quality
Usage
As the model is gated, before using it with diffusers you first need to go to the Bria Fibo Hugging Face page, fill in the form and accept the gate. Once you are in, you need to login so that your system knows you’ve accepted the gate.
Use the command below to log in:
hf auth login
BriaFiboEditPipeline
autodoc BriaFiboEditPipeline - all - call