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SDXL

Animagine XL V3.1

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Animagine XL V3.1 - AI Model cover image
Treinado por
Avatar image of Cagliostro Research Lab

Cagliostro Research Lab

Enviado em
23 de mar. de 2024, 03:04
Usos
2.42m
Avaliações
Excelente  (118)
Passos de Amostragem

20

CFG scale

6

Permissões
  • Permitir geração e compartilhamento de imagens
  • Permitir que usuários baixem seu modelo
  • Usos comerciais

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Descrição

https://civitai.com/models/260267?modelVersionId=403131

Animagine XL 3.1 is an update in the Animagine XL V3 series, enhancing the previous version, Animagine XL 3.0. This open-source, anime-themed text-to-image model has been improved for generating anime-style images with higher quality. It includes a broader range of characters from well-known anime series, an optimized dataset, and new aesthetic tags for better image creation. Built on Stable Diffusion XL, Animagine XL 3.1 aims to be a valuable resource for anime fans, artists, and content creators by producing accurate and detailed representations of anime characters.Model DetailsDeveloped by: Cagliostro Research LabIn collaboration with: ********Model type: Diffusion-based text-to-image generative modelModel Description: Animagine XL 3.1 generates high-quality anime images from textual prompts. It boasts enhanced hand anatomy, improved concept understanding, and advanced prompt interpretation.License: Fair AI Public License 1.0-SDFine-tuned from: Animagine XL 3.0Usage GuidelinesTag OrderingFor optimal results, it's recommended to follow the structured prompt template because we train the model like this:1girl/1boy, character name, from what series, everything else in any order. Special TagsAnimagine XL 3.1 utilizes special tags to steer the result toward quality, rating, creation date and aesthetic. While the model can generate images without these tags, using them can help achieve better results.Quality ModifiersQuality tags now consider both scores and post ratings to ensure a balanced quality distribution. We've refined labels for greater clarity, such as changing 'high quality' to 'great quality'.

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