holodayo-xl-2.1

Maintainer: yodayo-ai

Total Score

57

Last updated 7/18/2024

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PropertyValue
Run this modelRun on HuggingFace
API specView on HuggingFace
Github linkNo Github link provided
Paper linkNo paper link provided

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Model overview

holodayo-xl-2.1 is the latest version of the Yodayo Holodayo XL series, following the previous iteration, Holodayo XL 1.0. This open-source model is built upon Animagine XL V3, a specialized SDXL model designed for generating high-quality anime-style artwork. Holodayo XL 2.1 has undergone additional fine-tuning and optimization to focus specifically on generating images that accurately represent the visual style and aesthetics of the Virtual Youtuber franchise.

Model inputs and outputs

holodayo-xl-2.1 is a diffusion-based text-to-image generative model. It can take textual prompts as input and generate corresponding anime-style images as output.

Inputs

  • Textual prompts describing the desired image

Outputs

  • High-quality anime-style images that match the provided textual prompt

Capabilities

holodayo-xl-2.1 excels at generating anime-style artwork that captures the visual style and aesthetics of Virtual Youtubers. The model has been fine-tuned to address issues present in earlier versions, such as poor hand and anatomy rendering, and an overexposed art style.

What can I use it for?

holodayo-xl-2.1 can be used to create high-quality anime-style images for a variety of applications, such as virtual YouTuber avatars, anime-inspired artwork, and character designs. The model's focus on the Virtual Youtuber aesthetic makes it particularly useful for creators and businesses within that community.

Things to try

Experiment with different textual prompts to see the range of anime-style images holodayo-xl-2.1 can generate. Try prompts that incorporate specific Virtual Youtuber elements, such as character traits, themes, or settings, to see how the model handles those requests.



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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