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README.md

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 ![Example: Control image vs result](examples/side_by_side.png)
 
 **ControlNet trained on top of LibreFLUX**
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 - Uses Attention Masking
 - Inference runs with CFG
 - Trained on 165K segmented images from Meta's [SA1B Dataset](https://ai.meta.com/datasets/segment-anything/)
 - Trained using: [https://github.com/NeuralVFX/LibreFLUX-ControlNet](https://github.com/NeuralVFX/LibreFLUX-ControlNet)
 - Base model used: [https://huggingface.co/jimmycarter/LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX)
 - Inference code adapted from: [https://github.com/bghira/SimpleTuner](https://github.com/bghira/SimpleTuner)
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 # Compatibility
 ```py
 pip install -U diffusers==0.32.0