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README.md
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# MistoLine
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## Control Every Line!
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MistoLine: A Versatile and Robust SDXL-ControlNet Model for Adaptable Line Art Conditioning.
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MistoLine is an SDXL-ControlNet model that can adapt to any type of line art input, demonstrating high accuracy and excellent stability. It can generate high-quality images (with a short side greater than 1024px) based on user-provided line art of various types, including hand-drawn sketches, different ControlNet line preprocessors, and model-generated outlines. MistoLine eliminates the need to select different ControlNet models for different line preprocessors, as it exhibits strong generalization capabilities across diverse line art conditions.
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We developed MistoLine by employing a novel line preprocessing algorithm (Anyline) and retraining the ControlNet model based on the Unet of stabilityai/ stable-diffusion-xl-base-1.0, along with innovations in large model training engineering. MistoLine showcases superior performance across different types of
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line art inputs, surpassing existing ControlNet models in terms of detail restoration, prompt alignment, and stability, particularly in more complex scenarios.
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MistoLine
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*reference:https://github.com/lllyasviel/ControlNet*
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## Application Examples
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### Sketch Rendering
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### Model Rendering
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## ComfyUI Recommended Parameters
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primaryClass={cs.CV}
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}
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```
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# MistoLine
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## Control Every Line!
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You can download this model here: [HuggingFace TheMistoAI](https://huggingface.co/TheMistoAI/MistoLine)
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MistoLine: A Versatile and Robust SDXL-ControlNet Model for Adaptable Line Art Conditioning.
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MistoLine is an SDXL-ControlNet model that can adapt to any type of line art input, demonstrating high accuracy and excellent stability. It can generate high-quality images (with a short side greater than 1024px) based on user-provided line art of various types, including hand-drawn sketches, different ControlNet line preprocessors, and model-generated outlines. MistoLine eliminates the need to select different ControlNet models for different line preprocessors, as it exhibits strong generalization capabilities across diverse line art conditions.
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We developed MistoLine by employing a novel line preprocessing algorithm (Anyline) and retraining the ControlNet model based on the Unet of stabilityai/ stable-diffusion-xl-base-1.0, along with innovations in large model training engineering. MistoLine showcases superior performance across
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different types of line art inputs, surpassing existing ControlNet models in terms of detail restoration, prompt alignment, and stability, particularly in more complex scenarios.
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MistoLine maintains consistency with the ControlNet architecture released by @lllyasviel, as illustrated in the following schematic diagram:
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*reference:https://github.com/lllyasviel/ControlNet*
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## Application Examples
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### Sketch Rendering
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*The following case only utilized MistoLine as the controlnet:*
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### Model Rendering
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*The following case only utilized Anyline as the preprocessor and MistoLine as the controlnet.*
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## ComfyUI Recommended Parameters
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primaryClass={cs.CV}
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}
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```
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