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This repository contains a unified ControlNet for FLUX.1-dev model jointly released by researchers from InstantX Team and Shakker Labs. - This checkpoint is a Pro version of FLUX.1-dev-Controlnet-Union trained with more steps and datasets. - This model supports 7 control modes, including canny (0), tile (1), depth (2), blur (3), pose (4), gray (5), low quality (6). - The recommended controlnet_conditioning_scale is 0.3-0.8. - This model can be jointly used with other ControlNets. Please install `diffusers` from the source, as the PR has not been included in currently released version yet.

Image generation
Input Text→ Output Image
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This repository contains an unified ControlNet for FLUX.1-dev model released by Shakker Labs. We provide an online demo. A FP8 quantized version provided by community can be found in ABDALLALSWAITI/FLUX.1-dev-ControlNet-Union-Pro-2.0-fp8. In comparison with Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro, - Remove mode embedding, has smaller model size. - Improve on canny and pose, better control and aesthetics. - Add support for soft edge. Remove support for tile. - This ControlNet consists of 6 double blocks and 0 single block. Mode embedding is removed. - We train the model from scratch for 300k steps using a dataset of 20M high-quality general and human images. We train at 512x512 resolution in BFloat16, batch size = 128, learning rate = 2e-5, the guidance is uniformly sampled from [1, 7]. We set the text drop ratio to 0.20. - This model supports multiple control modes, including canny, soft edge, depth, pose, gray. You can use it just as a normal ControlNet. - This model can be jointly used with other ControlNets.

Image generation
Input Text→ Output Image
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