custom-sdxl

Maintainer: flyingteacups

Total Score

9

Last updated 5/17/2024
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Model overview

The custom-sdxl model is an inference model built using the SDXL architecture and Cog, which allows for the inclusion of multiple models in a single instance. This model is maintained by flyingteacups, and is similar to other SDXL-based models like sdxl-lightning-4step by ByteDance, uform-gen by zsxkib, cog-a1111-ui by brewwh, and turbo-enigma by shefa.

Model inputs and outputs

The custom-sdxl model takes a variety of inputs, including the VAE to use, the seed, the model to use, the number of steps, the width and height of the image, the prompt, the CFG scale, the scheduler, the batch size, and the negative prompt. It then outputs an array of image URLs.

Inputs

  • vae: The VAE to use, with a default of "sdxl-vae-fp16-fix".
  • seed: The seed used when generating, set to -1 for a random seed.
  • model: The model to use, with a default of "blue_pencil-XL-v2.9.0.safetensors".
  • steps: The number of steps when generating, with a default of 35 and a range of 1 to 100.
  • width: The width of the image, with a default of 1184 and a range of 1 to 2048.
  • height: The height of the image, with a default of 864 and a range of 1 to 2048.
  • prompt: The prompt used to generate the image, with a default of "1girl, catgirl, cat ears, white hair, golden eyes, bob cut, scenery, raining, night".
  • cfg_scale: The CFG scale, which defines how much attention the model pays to the prompt, with a default of 7 and a range of 1 to 30.
  • scheduler: The scheduler to use, with a default of "DPM++ 2M SDE Karras".
  • batch_size: The number of images to generate, with a default of 1 and a range of 1 to 4.
  • negative_prompt: The negative prompt, which specifies things the model should avoid generating, with a default of "unaestheticXL_Sky3.1, big breasts".
  • guidance_rescale: The amount to rescale CFG-generated noise to avoid generating overexposed images, with a default of 0.7 and a range of 0 to 1.

Outputs

  • An array of image URLs representing the generated images.

Capabilities

The custom-sdxl model is capable of generating high-quality images based on a user-provided prompt. It can handle a variety of prompts, including those related to scenes, characters, and objects, and can generate images with different styles and aesthetics.

What can I use it for?

The custom-sdxl model can be used for a variety of creative and artistic projects, such as generating concept art, illustrations, and scenes for games, movies, or other media. It can also be used for educational purposes, such as creating visual aids for lessons or demonstrations.

Things to try

Some interesting things to try with the custom-sdxl model include experimenting with different prompts to see the range of images it can generate, adjusting the various input parameters to explore their effects on the output, and combining the model with other tools or techniques to create more complex or specialized outputs.



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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