Kohaku-XL-Epsilon
Maintainer: KBlueLeaf
48
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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
The Kohaku-XL-Epsilon is the fifth major iteration in the Kohaku XL series, developed by the maintainer KBlueLeaf. This model features a 5.2 million image dataset, LyCORIS fine-tuning, and is trained on consumer-level hardware. It is a significant improvement over the previous Kohaku-XL-Delta model, as the CCIP score on 3600 characters shows.
The Kohaku-XL-Epsilon has mastered more artists' styles than the Delta version, while also increasing the stability when combining multiple artist tags. Users are encouraged to experiment with their own style prompts, as the model performs well with a variety of inputs.
Model inputs and outputs
Inputs
<1girl/1boy/1other/...>: Specifies the number of characters in the image<character>: The name of the character(s)<series>: The series the character(s) is from<artists>: The artist(s) whose style should be emulated<general tags>: Additional tags to describe the desired image<quality tags>: Tags to indicate the desired quality level<year tags>: Tags to indicate the desired time period<meta tags>: Tags to indicate additional metadata<rating tags>: Tags to indicate the desired rating (safe, sensitive, nsfw, explicit)
Outputs
The model generates high-quality anime-style images based on the provided input prompts. The output images showcase a variety of styles and subjects, ranging from detailed character portraits to dynamic scenes.
Capabilities
The Kohaku-XL-Epsilon model has demonstrated impressive capabilities in generating diverse and visually striking anime-style images. By leveraging the LyCORIS fine-tuning technique and a large dataset, the model has developed a deep understanding of various artistic styles and can seamlessly blend them to create unique and compelling outputs.
What can I use it for?
The Kohaku-XL-Epsilon model can be a valuable tool for a wide range of applications, from personal art projects to commercial endeavors. Artists and hobbyists can use it to explore new creative directions, generate reference images, or quickly prototype ideas. Businesses in the anime, manga, or gaming industries may find the model useful for rapid content generation, asset creation, or character design.
Things to try
One of the key strengths of the Kohaku-XL-Epsilon model is its ability to blend multiple artist styles seamlessly. Users are encouraged to experiment with combining various artist tags, such as ask (askzy), torino aqua, and migolu, to see how the model can generate unique and visually captivating results. Additionally, exploring the use of different quality, rating, and year tags can help users fine-tune the output to their specific preferences and needs.
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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