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FLUX.1-dev-ControlNet-Pose

This repository contains a Pose ControlNet for FLUX.1-dev model trained by researchers from Shakker Labs.

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  • The model consists of 4 FluxTransformerBlock and 1 FluxSingleTransformerBlock following the same setting in Shakker-Labs/FLUX.1-dev-ControlNet-Depth.
  • This checkpoint is trained on both real and generated image datasets, with 40*A800 for 75K steps. The batch size 40*8=320 with resolution=512. The learning rate is set to 1e-5. We use controlnet_aux to extract conditions.
  • The recommended controlnet_conditioning_scale is 0.7.

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Acknowledgements

This project is released by Shakker AI. All copyright reserved.

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