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It can handle all types of line art, whether it is hand-drawn sketches, different ControlNet line preprocessing tools, or contours generated by models, which can be processed with high accuracy and stability.
An important feature is its strong generalization ability, which eliminates the need to replace different ControlNet models for different line preprocessing tools.
We are pleased to announce the launch of a model that provides higher precision control than SDXL. It’s called “MistoLine” and we believe it can control every line!
A versatile and powerful SDXL-ControlNet model for adaptive line artistic adjustment.
MistoLine is an SDXL-ControlNet model that can adapt to any type of line art input, showing high precision and excellent stability. It can generate high-quality images (short sides greater than 1024px) based on various types of line art provided by users, including hand-drawn sketches, different ControlNet line preprocessors, and model-generated contours. MistoLine does not need to choose different ControlNet models for different line preprocessors because it demonstrates strong generalization capabilities under different line art conditions.
We developed MistoLine using the novel line preprocessing algorithm Anyline, re-trained the ControlNet model based on the Unet of stabilityai/stable-diffusion-xl-base-1.0, and innovations in the large model training project. MistoLine demonstrates excellent performance in different types of line art inputs, surpassing existing ControlNet models in detail recovery, fast alignment and stability, especially in more complex scenarios.
If you want to learn more, you can click on the link below the video.
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Model: https://huggingface.co/TheMistoAI/MistoLine
GitHub： https://github.com/TheMistoAI/MistoLine
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