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LibreFlux-SAM-ControlNet

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