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  base_model: jimmycarter/LibreFLUX
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  ---
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  # LibreFLUX-ControlNet
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- ![Example: Control image vs result](examples/side_by_side.png)
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  This model/pipeline is the product of my [LibreFlux ControlNet training repo](https://github.com/NeuralVFX/LibreFLUX-ControlNet). It uses [LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX) as the Transformer model for the ControlNet. For the dataset I auto labeled 165K images from the SA1B dataset, and trained for that many iterations. I've tested using this ControlNet model as a base for transfer learning to less generic datasets, the results are good!
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  base_model: jimmycarter/LibreFLUX
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  ---
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  # LibreFLUX-ControlNet
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+ ![Example: Control image vs result](examples/side_by_side_a.png)
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  This model/pipeline is the product of my [LibreFlux ControlNet training repo](https://github.com/NeuralVFX/LibreFLUX-ControlNet). It uses [LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX) as the Transformer model for the ControlNet. For the dataset I auto labeled 165K images from the SA1B dataset, and trained for that many iterations. I've tested using this ControlNet model as a base for transfer learning to less generic datasets, the results are good!
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