FLUX.1-dev-ControlNet-Pose
This repository contains a Pose ControlNet for FLUX.1-dev model trained by researchers from Shakker Labs.
Model Cards
- 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.
Showcases
Resources
- InstantX/FLUX.1-dev-Controlnet-Canny
- Shakker-Labs/FLUX.1-dev-ControlNet-Depth
- Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro
Acknowledgements
This project is released by Shakker AI. All copyright reserved.
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black-forest-labs/FLUX.1-dev