controlnet-tile-sdxl-1.0

Maintainer: xinsir

Total Score

142

Last updated 7/26/2024

🤷

PropertyValue
Run this modelRun on HuggingFace
API specView on HuggingFace
Github linkNo Github link provided
Paper linkNo paper link provided

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Model overview

The controlnet-tile-sdxl-1.0 model, developed by xinsir, is a powerful ControlNet model trained on a large dataset of over 10 million high-quality images. This model can generate high-resolution images that are visually comparable to Midjourney, supporting a wide range of line types and widths. Unlike the controlnet-canny-sdxl-1.0 model, which is optimized for canny edge detection, the controlnet-tile-sdxl-1.0 model can handle various control inputs, including scribbles, canny edges, HED, PIDI, and line art.

Model inputs and outputs

The controlnet-tile-sdxl-1.0 model takes two main inputs: a prompt and a control image. The prompt is a text description that provides high-level guidance for the image generation process. The control image is a low-resolution or blurry version of the desired output, which the model uses to guide the generation of the final high-resolution image.

Inputs

  • Prompt: A text description that provides high-level guidance for the image generation process.
  • Control image: A low-resolution or blurry version of the desired output, which the model uses to guide the generation of the final high-resolution image.

Outputs

  • High-resolution image: The final generated image, which is visually comparable to Midjourney in terms of quality and detail.

Capabilities

The controlnet-tile-sdxl-1.0 model can generate a wide range of realistic and visually appealing images, from detailed portraits to fantastical scenes. By leveraging the power of ControlNet, the model can seamlessly integrate the provided control image with the text prompt, resulting in images that closely match the user's vision.

What can I use it for?

The controlnet-tile-sdxl-1.0 model can be used for a variety of creative and design-related tasks, such as:

  • Image generation: Create high-quality, photorealistic images from scratch or based on a provided control image.
  • Concept art and illustration: Generate visually striking concept art or illustrations for use in various media, such as games, films, or books.
  • Product design: Create detailed product renderings or prototypes by combining text prompts with control images.
  • Visual effects: Generate realistic or fantastical elements for use in visual effects or post-production work.

Things to try

One of the key strengths of the controlnet-tile-sdxl-1.0 model is its ability to handle a wide range of line types and widths. Try experimenting with different control images, from simple scribbles to detailed line art, and see how the model responds. You can also try adjusting the control image resolution and the control conditioning scale to find the optimal settings for your specific use case.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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