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@@ -9,7 +9,7 @@ base_model: jimmycarter/LibreFLUX
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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),I've used [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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  # How does this relate to LibreFLUX?
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  - Base model is [LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX)
 
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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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  # How does this relate to LibreFLUX?
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  - Base model is [LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX)