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* Bria FIBO pipeline * style fixs * fix CR * Refactor BriaFibo classes and update pipeline parameters - Updated BriaFiboAttnProcessor and BriaFiboAttention classes to reflect changes from Flux equivalents. - Modified the _unpack_latents method in BriaFiboPipeline to improve clarity. - Increased the default max_sequence_length to 3000 and added a new optional parameter do_patching. - Cleaned up test_pipeline_bria_fibo.py by removing unused imports and skipping unsupported tests. * edit the docs of FIBO * Remove unused BriaFibo imports and update CPU offload method in BriaFiboPipeline * Refactor FIBO classes to BriaFibo naming convention - Updated class names from FIBO to BriaFibo for consistency across the module. - Modified instances of FIBOEmbedND, FIBOTimesteps, TextProjection, and TimestepProjEmbeddings to reflect the new naming. - Ensured all references in the BriaFiboTransformer2DModel are updated accordingly. * Add BriaFiboTransformer2DModel import to transformers module * Remove unused BriaFibo imports from modular pipelines and add BriaFiboTransformer2DModel and BriaFiboPipeline classes to dummy objects for enhanced compatibility with torch and transformers. * Update BriaFibo classes with copied documentation and fix import typo in pipeline module - Added documentation comments indicating the source of copied code in BriaFiboTransformerBlock and _pack_latents methods. - Corrected the import statement for BriaFiboPipeline in the pipelines module. * Remove unused BriaFibo imports from __init__.py to streamline modular pipelines. * Refactor documentation comments in BriaFibo classes to indicate inspiration from existing implementations - Updated comments in BriaFiboAttnProcessor, BriaFiboAttention, and BriaFiboPipeline to reflect that the code is inspired by other modules rather than copied. - Enhanced clarity on the origins of the methods to maintain proper attribution. * change Inspired by to Based on * add reference link and fix trailing whitespace * Add BriaFiboTransformer2DModel documentation and update comments in BriaFibo classes - Introduced a new documentation file for BriaFiboTransformer2DModel. - Updated comments in BriaFiboAttnProcessor, BriaFiboAttention, and BriaFiboPipeline to clarify the origins of the code, indicating copied sources for better attribution. --------- Co-authored-by: sayakpaul <spsayakpaul@gmail.com>
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Bria Fibo
Text-to-image models have mastered imagination - but not control. FIBO changes that.
FIBO is trained on structured JSON captions up to 1,000+ words and designed to understand and control different visual parameters such as lighting, composition, color, and camera settings, enabling precise and reproducible outputs.
With only 8 billion parameters, FIBO provides a new level of image quality, prompt adherence and proffesional control.
FIBO is trained exclusively on a structured prompt and will not work with freeform text prompts. you can use the FIBO-VLM-prompt-to-JSON model or the FIBO-gemini-prompt-to-JSON to convert your freeform text prompt to a structured JSON prompt.
its not recommended to use freeform text prompts directly with FIBO, as it will not produce the best results.
you can learn more about FIBO in Bria Fibo Hugging Face page.
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
BriaPipeline
autodoc BriaPipeline - all - call