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inkpunk-diffusion

Maintainer: adithram

Total Score

3

Last updated 5/15/2024
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Model LinkView on Replicate
API SpecView on Replicate
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

inkpunk-diffusion is a Replicate port of the Inkpunk Diffusion model, a finetuned Stable Diffusion model trained on dreambooth. It is vaguely inspired by Gorillaz, FLCL, and the artwork of Yoji Shinkawa. This model can be used to generate images with a distinct visual style, similar to the Inkpunk-Diffusion model created by Envvi.

Model inputs and outputs

The inkpunk-diffusion model takes in a text prompt, which is used to generate an image. The model also allows for customization of the output image through various parameters, such as the seed, width, height, number of outputs, guidance scale, and number of inference steps.

Inputs

  • Prompt: The text input that describes the desired image.
  • Seed: The random seed to use for image generation. Leave blank to randomize.
  • Width: The width of the output image, up to a maximum of 1024x768 or 768x1024.
  • Height: The height of the output image, up to a maximum of 1024x768 or 768x1024.
  • Scheduler: The algorithm used to denoise the image during generation.
  • Num Outputs: The number of images to generate, up to a maximum of 4.
  • Guidance Scale: The scale used for classifier-free guidance.
  • Negative Prompt: Text to specify things that should not be included in the output.
  • Prompt Strength: The strength of the input prompt when using an init image.
  • Num Inference Steps: The number of denoising steps to perform during generation.

Outputs

  • Output Images: The generated image(s) in the form of image URLs.

Capabilities

The inkpunk-diffusion model can be used to generate images with a unique, stylized appearance inspired by the works of Gorillaz, FLCL, and Yoji Shinkawa. The generated images have a distinct visual flair, with a focus on dreamlike, surreal, and slightly off-kilter compositions.

What can I use it for?

The inkpunk-diffusion model could be useful for a variety of creative projects, such as:

  • Generating cover art or promotional images for music, films, or other media with a similar aesthetic
  • Creating concept art and mood boards for creative projects with a distinctive visual style
  • Experimenting with surreal and imaginative imagery for personal art or design projects

Things to try

Try using the inkpunk-diffusion model with a wide range of prompts, from the fantastical and imaginative to the grounded and realistic. Experiment with different combinations of input parameters, such as adjusting the guidance scale or number of inference steps, to achieve unique and unexpected results. You can also try incorporating the model into your existing creative workflows, such as using the generated images as a starting point for further digital painting or photo manipulation.



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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