README.md

---
language:
- en
base_model:
- briaai/Fibo-Edit
pipeline_tag: image-to-image
library_name: diffusers
extra_gated_description: >-
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  provided [license](https://creativecommons.org/licenses/by-nc/4.0/deed.en).
extra_gated_heading: Fill in this form to immediately access the model for non commercial use
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license: other
license_name: bria-fibo-edit
license_link: https://creativecommons.org/licenses/by-nc/4.0/deed.en
tags:
- art
- image-to-image
- background-removal
- image-segmentation
---
<p align="center">
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</p>

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<p align="center">
  <b>Fibo-Edit-RMBG: Professional Background Removal Powered by Fibo-Edit</b><br>
  A fine-tuned version of Fibo-Edit specialized for high-quality background removal. Built on Fibo's foundation, Fibo-Edit-RMBG excels at complex foregrounds, fine detail preservation, and challenging image types.
  <b></b>
  <br><br>
</p>

<h2>🌍 What's Fibo-Edit-RMBG?</h2>
<p>Fibo-Edit-RMBG is a specialized fine-tuning of the Fibo-Edit model, optimized specifically for background removal tasks. Fibo-Edit-RMBG leverages the powerful Fibo-Edit architecture to deliver state-of-the-art results.</p>


<p>📄 <i>Technical report coming soon.</i> For architecture details, see <a href="https://huggingface.co/briaai/FIBO">FIBO</a> and <a href="https://huggingface.co/briaai/Fibo-Edit">Fibo-Edit</a>.</p>

<h2>🖼️ Visual Examples</h2>
<div style="display: grid; grid-template-columns: 1fr 1fr 1fr 1fr; gap: 8px;">
  <img src="faucet_input.png" style="width: 100%;"/>
  <img src="faucet_output.png" style="width: 100%;"/>
  <img src="flowers_input.png" style="width: 100%;"/>
  <img src="flowers_output.png" style="width: 100%;"/>
  <img src="tennis_input.png" style="width: 100%;"/>
  <img src="tennis_output.png" style="width: 100%;"/>
  <img src="portrait_input.png" style="width: 100%;"/>
  <img src="portrait_output.png" style="width: 100%;"/>
  <img src="tools_input.png" style="width: 100%;"/>
  <img src="tools_output.png" style="width: 100%;"/>
  <img src="illustration_input.png" style="width: 100%;"/>
  <img src="illustration_output.png" style="width: 100%;"/>
  <img src="fathersday_input.png" style="width: 100%;"/>
  <img src="fathersday_output.png" style="width: 100%;"/>
  <img src="graphicdesign_input.png" style="width: 100%;"/>
  <img src="graphicdesign_output.png" style="width: 100%;"/>
</div>

<h2>🔑 Key Features</h2>
<ul>
  <li><b>Fine-Structure Alpha Matting</b>: Produces clean, precise alpha mattes 
  with accurate opacity estimation along high-frequency edge regions — including 
  hair strands, netting, wire structures, and similarly intricate boundaries.</li>
  
  <li><b>Consistent Subject Masking</b>: Produces more complete and decisive 
  masks across the full extent of the foreground subject, with fewer cases 
  of regions being incorrectly split between foreground and background.</li>
    
  <li><b>Foreground-Background Separation in Low-Depth-Cue Scenes</b>: 
  Better handles images where foreground boundaries are not well-defined by 
  depth — such as flat illustrations, graphic compositions, 
  and images with overlaid text.</li>
</ul>

<h2>⚡ Quick Start</h2>

<p><b>Source-Code & Weights</b></p>
<ul>
  <li>The model is open source for non-commercial use with <a href="https://creativecommons.org/licenses/by-nc/4.0/deed.en">this license</a> </li>
  <li>For commercial use <a href="https://bria.ai/contact-us?hsCtaAttrib=114250296256">Click here</a>.</li>
</ul>

<h2>Installation</h2>
<p>Install the required dependencies:</p>
<pre><code class="language-bash">pip install diffusers transformers accelerate torch pillow
</code></pre>

<h2>Usage</h2>

<h3>Basic Background Removal</h3>

```python
import torch
from diffusers import BriaFiboEditPipeline
from PIL import Image

# Load the Fibo-Edit-RMBG model
pipe = BriaFiboEditPipeline.from_pretrained(
    "briaai/Fibo-Edit-RMBG",
    torch_dtype=torch.bfloat16,
)
pipe.to("cuda")

# Load your image
image = Image.open("photo.jpg").convert("RGB")

# Generate foreground mask - no mask needed!
mask = pipe(
    image=image,
    prompt = {'edit_instruction':'Generate a detailed grayscale alpha matte. Map the opaque foreground to white and the background to black. Produce soft, anti-aliased grayscale gradients at the edges of the subject to represent fine details and transparency.'},
    num_inference_steps=10,
    guidance_scale=1.0
).images[0]

# Convert mask to grayscale and use as alpha channel
alpha = mask.convert("L").resize(image.size)
image.putalpha(alpha)

# Save the result as RGBA image with transparent background
image.save("output.png")
```

<h2>🎯 Use Cases</h2>
<ul>
  <li><b>Hair & Fine-Structure Subjects</b>: Well-suited for images where 
  accurate alpha matting along hair strands, fur, or similarly complex edges 
  is critical to output quality.</li>
  <li><b>Illustrations & Graphic Compositions</b>: Handles non-photorealistic 
  content where foreground-background boundaries are not clearly defined by depth.</li>
  <li><b>Graphic Design & Text Cutouts</b>: Produces strong foreground 
  separation where text or typographic elements are the subject.</li>
</ul>

<h2>⚙️ Model Parameters</h2>
<p>Recommended inference parameters:</p>
<ul>
  <li><b>num_inference_steps</b>: 10 (balance between quality and speed)</li>
  <li><b>guidance_scale</b>: 1 (recommended for fast results)</li>
  <li><b>torch_dtype</b>: bfloat16 (for optimal memory usage and speed)</li>
  <li><b>seed</b>: Results vary across different seed values — we recommend experimenting with a few seeds to find the best output for your specific input.</li>
</ul>

<h2>🤝 Contributing</h2>
<p>If you have questions about this repository, feedback to share, or want to contribute directly, we welcome your issues and pull requests on GitHub. Your contributions help make Fibo-Edit-RMBG better for everyone.</p>
<p>If you're passionate about fundamental research, we're hiring full-time employees (FTEs) and research interns. Don't wait - reach out to us at [email protected]</p>

## Citation

```bibtex

@article{gutflaish2025generating,
  title={Generating an Image From 1,000 Words: Enhancing Text-to-Image With Structured Captions},
  author={Gutflaish, Eyal and Kachlon, Eliran and Zisman, Hezi and Hacham, Tal and Sarid, Nimrod and Visheratin, Alexander and Huberman, Saar and Davidi, Gal and Bukchin, Guy and Goldberg, Kfir and others},
  journal={arXiv preprint arXiv:2511.06876},
  year={2025}
}
```

<p align="center"><b>❤️ Star Fibo-Edit-RMBG on Hugging Face and ⭐ Star Bria AI on GitHub to join the movement for responsible generative AI!</b></p>