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@@ -23,8 +23,8 @@ base_model: black-forest-labs/FLUX.1-dev
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  This repository contains an unified ControlNet for FLUX.1-dev model jointly released by researchers from [InstantX Team](https://huggingface.co/InstantX) and [Shakker Labs](https://huggingface.co/Shakker-Labs).
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  # Model Cards
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- - This checkpoint is a Pro version of [FLUX.1-dev-Controlnet-Union](https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Union).
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- - This model support 7 control modes, including canny (0), tile (1), depth (2), blur (3), pose (4), gray (5), low quality (6).
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  - The recommended controlnet_conditioning_scale is 0.3-0.8.
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  - This model can be jointly used with other ControlNets.
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@@ -88,6 +88,9 @@ controlnet_model_depth = './Shakker-Labs/FLUX.1-dev-Controlnet-Depth'
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  controlnet_depth = FluxControlNetModel.from_pretrained(controlnet_model_depth, torch_dtype=torch.bfloat16)
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  controlnet = FluxMultiControlNetModel([controlnet_union, controlnet_depth])
 
 
 
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  ```
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  # Acknowledgements
 
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  This repository contains an unified ControlNet for FLUX.1-dev model jointly released by researchers from [InstantX Team](https://huggingface.co/InstantX) and [Shakker Labs](https://huggingface.co/Shakker-Labs).
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  # Model Cards
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+ - This checkpoint is a Pro version of [FLUX.1-dev-Controlnet-Union](https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Union) trained with more steps and datasets.
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+ - This model supports 7 control modes, including canny (0), tile (1), depth (2), blur (3), pose (4), gray (5), low quality (6).
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  - The recommended controlnet_conditioning_scale is 0.3-0.8.
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  - This model can be jointly used with other ControlNets.
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  controlnet_depth = FluxControlNetModel.from_pretrained(controlnet_model_depth, torch_dtype=torch.bfloat16)
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  controlnet = FluxMultiControlNetModel([controlnet_union, controlnet_depth])
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+
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+ # set mode to None for other ControlNets
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+ control_mode=[2, None]
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  ```
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  # Acknowledgements