Inkpunk-Diffusion
Maintainer: Envvi
970
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
Inkpunk-Diffusion is a finetuned Stable Diffusion model trained by Envvi on dreambooth. It is vaguely inspired by Gorillaz, FLCL, and Yoji Shinkawa, with a distinct "inkpunk" style. Similar models include the Vintedois Diffusion and EimisAnimeDiffusion models, which have their own unique art styles.
Model inputs and outputs
Inkpunk-Diffusion is a text-to-image generation model. It takes in textual prompts and generates corresponding images in the inkpunk visual style.
Inputs
- Textual prompts describing the desired image
Outputs
- Generated images in the inkpunk art style
Capabilities
The Inkpunk-Diffusion model can create a variety of images in the inkpunk style, including characters, scenes, and detailed illustrations. The samples provided show its ability to generate stylized portraits, fantastical creatures, and moody, atmospheric environments.
What can I use it for?
Inkpunk-Diffusion could be useful for generating concept art, illustrations, and design assets with a distinct visual flair. Its unique style could be leveraged for creative projects, book/album covers, game assets, and more. As an open-access model, it can be used commercially or in personal work, though users should be mindful of the license terms.
Things to try
Experiment with different prompts to see the range of images the Inkpunk-Diffusion model can produce. Try combining the "nvinkpunk" token with descriptive elements like character types, settings, and moods to see how the model blends them. Explore using the model for image-to-image generation as well, building on existing assets to create new variations.
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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