sdxl-akira

Maintainer: doriandarko

Total Score

1

Last updated 5/19/2024
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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

The sdxl-akira model is a text-to-image generation AI trained on the cult classic anime film Akira. It is one of several specialized SDXL models created by doriandarko. Similar SDXL models include those trained on Hiroshi Nagai's illustrations, blocky oil paintings, and Blade Runner 2049 stills. The sdxl and sdxl-niji-se models, created by lucataco, provide a more general text-to-image generation capability.

Model inputs and outputs

The sdxl-akira model takes a text prompt as input and generates one or more related images as output. The input prompt can describe the desired image in natural language, and the model will attempt to create a matching visual representation. The input schema also allows for optional parameters like image size, guidance scale, and seed values to tailor the output.

Inputs

  • Prompt: The text prompt describing the desired image
  • Negative Prompt: An optional prompt specifying content to exclude from the generated image
  • Image: An input image for use in img2img or inpaint mode
  • Mask: An input mask for inpaint mode, with black areas preserved and white areas inpainted
  • Seed: A random seed value to control image generation
  • Width/Height: The desired dimensions of the output image
  • Num Outputs: The number of images to generate
  • Scheduler: The denoising scheduler algorithm to use
  • Guidance Scale: The scale for classifier-free guidance
  • Num Inference Steps: The number of denoising steps to perform
  • Prompt Strength: The strength of the prompt when using img2img or inpaint modes
  • Refine: The refine style to use
  • LoRA Scale: The additive scale for LoRA (if applicable)
  • High Noise Frac: The fraction of high noise to use (for expert_ensemble_refiner)
  • Apply Watermark: Whether to apply a watermark to the generated images

Outputs

  • Image URI: A URI pointing to the generated image

Capabilities

The sdxl-akira model can generate visually striking images inspired by the Akira anime. It can depict characters, environments, and scenes from the film, as well as imaginative new interpretations of the Akira aesthetic. The model is particularly adept at capturing the distinct cyberpunk, post-apocalyptic, and neo-Tokyo visual style of the source material.

What can I use it for?

The sdxl-akira model could be used to create original Akira-inspired artwork, fan art, and illustrations. It could also be used to generate concept art or visual assets for video games, films, or other media projects with a similar futuristic, dystopian aesthetic. The model's capabilities could be leveraged by artists, designers, and creative professionals to explore and expand the Akira universe through new visual interpretations.

Things to try

Experiment with different prompt variations to see how the model interprets and renders various elements of the Akira universe, such as the iconic motorcycle chase scenes, the sprawling Neo-Tokyo cityscapes, or the towering mecha. You can also try using the img2img or inpaint modes to refine or modify existing Akira-inspired images. Additionally, playing with the model's settings like guidance scale, number of inference steps, and LoRA scale can produce a wide range of unique and unexpected results.



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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