MODEL PROFILE

Qwen-Image-ControlNet-Union

InstantX · Qwen-Image-ControlNet-Union

This repository provides a unified ControlNet that supports 4 common control types (canny, soft edge, depth, pose) for Qwen-Image. - This ControlNet consists of 5 double blocks copied from the pretrained transformer layers. - We train the model from scratch for 50K steps using a dataset of 10M high-quality general and human images. - We train at 1328x1328 resolution in BFloat16, batch size=64, learning rate=4e-5. We set the text drop ratio to 0.10. - This model supports multiple control modes, including canny, soft edge, depth, pose. You can use it just as a normal ControlNet. You can adjust control strength via controlnet_conditioning_scale. - Canny: use cv2.Canny, set controlnet_conditioning_scale in [0.8, 1.0] - Soft Edge: use AnylineDetector, set controlnet_conditioning_scale in [0.8, 1.0] - Depth: use depth-anything, set controlnet_conditioning_scale in [0.8, 1.0] - Pose: use DWPose, set controlnet_conditioning_scale in [0.8, 1.0]

Image editinglicense:apache-2.0
Context windowNot disclosed
Input → OutputImage → Image
Model weightsNot verified
Profile updated2026/11/1 18:51:33
OVERVIEW

Model overview

This repository provides a unified ControlNet that supports 4 common control types (canny, soft edge, depth, pose) for Qwen-Image. - This ControlNet consists of 5 double blocks copied from the pretrained transformer layers. - We train the model from scratch for 50K steps using a dataset of 10M high-quality general and human images. - We train at 1328x1328 resolution in BFloat16, batch size=64, learning rate=4e-5. We set the text drop ratio to 0.10. - This model supports multiple control modes, including canny, soft edge, depth, pose. You can use it just as a normal ControlNet. You can adjust control strength via controlnet_conditioning_scale. - Canny: use cv2.Canny, set controlnet_conditioning_scale in [0.8, 1.0] - Soft Edge: use AnylineDetector, set controlnet_conditioning_scale in [0.8, 1.0] - Depth: use depth-anything, set controlnet_conditioning_scale in [0.8, 1.0] - Pose: use DWPose, set controlnet_conditioning_scale in [0.8, 1.0]

Key features

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Limitations & considerations

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。