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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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  # Compatibility
 
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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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  # Compatibility