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briaai
/
BRIA-3.2-ControlNet-Generative-Fill

Text-to-Image
Diffusers
Safetensors
controlnet model
legal liability
commercial use
Model card Files Files and versions
xet
Community

Instructions to use briaai/BRIA-3.2-ControlNet-Generative-Fill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use briaai/BRIA-3.2-ControlNet-Generative-Fill with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("briaai/BRIA-3.2-ControlNet-Generative-Fill", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee

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BRIA 3.2 ControlNet-Generative-Fill requires access to BRIA 3.2 Text-to-Image model

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  • .gitattributes
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    Upload genfill_32_hf.png 8 months ago
  • README.md
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  • config.json
    490 Bytes
    Rename config (1).json to config.json 8 months ago
  • controlnet_bria_inpainting.py
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  • diffusion_pytorch_model.safetensors
    4.56 GB
    xet
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  • genfill_32_hf.png
    1.07 MB
    xet
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  • pipeline_bria_controlnet_inpainitng.py
    30 kB
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