MistoLine

--- license: openrail++ tags: - art - stable diffusion - ControlNet - SDXL - Diffusion-XL pipeline_tag: text-to-image --- # MistoLine ## Control Every Line!  [GitHub Repo](https://github.com/TheMistoAI/MistoLine) --- ## 🥳 Huge Thanks to the Community! **We are thrilled to announce that MistoLine has officially surpassed 300,000 total downloads!** 🚀 (Verified via official [Hugging Face API](https://huggingface.co/api/models/TheMistoAI/MistoLine?expand[]=downloadsAllTime)) MistoLine also achieved **#1 in the Text-to-Image Trending list** and **Top 4 Overall** on Hugging Face! These milestones reflect the incredible support and adoption from the open-source AI community. Check out our trending highlights: <p align="center"> <img src="assets/highlight1.png" width="48%" /><img src="assets/highlight2.png" width="48%" /> </p> --- ## NEWS!!!!! Anyline-preprocessor is released!!!! [Anyline Repo](https://github.com/TheMistoAI/ComfyUI-Anyline) **MistoLine: A Versatile and Robust SDXL-ControlNet Model for Adaptable Line Art Conditioning.** 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. We developed MistoLine by employing a novel line preprocessing algorithm **[Anyline](https://github.com/TheMistoAI/ComfyUI-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 line art inputs, surpassing existing ControlNet models in terms of detail restoration, prompt alignment, and stability, particularly in more complex scenarios. MistoLine maintains consistency with the ControlNet architecture released by @lllyasviel, as illustrated in the following schematic diagram:  ![ControlNet architecture](assets/control...

Source context: 7729 downloads · 464 likes · Pipeline text-to-image · Library diffusers · Repo TheMistoAI/MistoLine

Source context: 5055 downloads · 463 likes · Pipeline text-to-image · Library diffusers · Repo TheMistoAI/MistoLine