ghibli-diffusion

Maintainer: m1guelpf

Total Score

1

Last updated 6/9/2024
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Model overview

The ghibli-diffusion model is a fine-tuned Stable Diffusion model trained on images from modern anime feature films from Studio Ghibli. This model can be used to generate images in the distinct visual style of Studio Ghibli, known for its lush environments, whimsical characters, and dreamlike aesthetics. Similar models include the studio-ghibli model, which is also trained on Ghibli-style artwork, as well as the more general stable-diffusion and eimis_anime_diffusion models.

Model inputs and outputs

The ghibli-diffusion model takes in a text prompt and generates an image based on that prompt. The model can also take in an initial image and use that as a starting point for the generation process. The outputs are high-quality, photo-realistic images that capture the distinct visual style of Studio Ghibli.

Inputs

  • Prompt: A text prompt describing the image you want to generate
  • Mask: A black and white image to use as a mask for inpainting over an initial image
  • Seed: A random seed value to use for image generation
  • Width/Height: The desired dimensions of the output image, up to 1024x768 or 768x1024
  • Scheduler: The scheduler algorithm to use for image generation, such as K-LMS or PNDM
  • Init Image: An initial image to use as a starting point for generating variations
  • Num Outputs: The number of images to generate (up to 10)
  • Guidance Scale: The scale for classifier-free guidance, controlling the balance between the text prompt and the initial image
  • Prompt Strength: The strength of the text prompt when using an initial image
  • Num Inference Steps: The number of denoising steps to perform during image generation

Outputs

  • Output Images: An array of generated images, with each image returned as a URI

Capabilities

The ghibli-diffusion model can generate a wide variety of images in the distinct Studio Ghibli style, including characters, vehicles, animals, and landscapes. The model is particularly adept at capturing the whimsical and dreamlike qualities that characterize Ghibli's visual aesthetic.

What can I use it for?

The ghibli-diffusion model can be used for a variety of creative and commercial applications, such as:

  • Generating concept art or illustrations for Ghibli-inspired animation, films, or games
  • Creating unique and visually striking social media content or marketing materials
  • Exploring and experimenting with the Ghibli visual style for personal creative projects

The model's maintainer also encourages users to support their work through Patreon, which can help fund the development of new and improved AI models.

Things to try

When using the ghibli-diffusion model, try experimenting with different combinations of prompts, settings, and initial images to see the wide range of outputs the model can produce. For example, you could try generating a "ghibli style magical princess with golden hair" or a "ghibli style ice field with northern lights." The model's unique ability to capture the essence of Ghibli's visual style can lead to truly captivating and imaginative 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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