Maintainer: Linaqruf

Total Score


Last updated 5/28/2024


Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

Animagine XL 2.0 is an advanced latent text-to-image diffusion model designed to create high-resolution, detailed anime images. It's fine-tuned from Stable Diffusion XL 1.0 using a high-quality anime-style image dataset. This model, an upgrade from Animagine XL 1.0, excels in capturing the diverse and distinct styles of anime art, offering improved image quality and aesthetics.

The model is maintained by Linaqruf, who has also developed a collection of LoRA (Low-Rank Adaptation) adapters to customize the aesthetic of generated images. These adapters allow users to create anime-style artwork in a variety of distinctive styles, from the vivid Pastel Style to the intricate Anime Nouveau.

Model inputs and outputs


  • Text prompts: The model accepts text prompts that describe the desired anime-style image, including details about the character, scene, and artistic style.


  • High-resolution anime images: The model generates detailed, anime-inspired images based on the provided text prompts. The output images are high-resolution, typically 1024x1024 pixels or larger.


Animagine XL 2.0 excels at generating diverse and distinctive anime-style artwork. The model can capture a wide range of anime character designs, from colorful and vibrant to dark and moody. It also demonstrates strong abilities in rendering detailed backgrounds, intricate clothing, and expressive facial features.

The inclusion of the LoRA adapters further enhances the model's capabilities, allowing users to tailor the aesthetic of the generated images to their desired style. This flexibility makes Animagine XL 2.0 a valuable tool for anime artists, designers, and enthusiasts who want to create unique and visually striking anime-inspired content.

What can I use it for?

Animagine XL 2.0 and its accompanying LoRA adapters can be used for a variety of applications, including:

  • Anime character design: Generate detailed and unique anime character designs for use in artwork, comics, animations, or video games.
  • Anime-style illustrations: Create stunning anime-inspired illustrations, ranging from character portraits to complex, multi-figure scenes.
  • Anime-themed content creation: Produce visually appealing anime-style assets for use in various media, such as social media, websites, or marketing materials.
  • Anime fan art: Generate fan art of popular anime characters and series, allowing fans to explore and share their creativity.

By leveraging the model's capabilities, users can streamline their content creation process, experiment with different artistic styles, and bring their anime-inspired visions to life.

Things to try

One interesting feature of Animagine XL 2.0 is the ability to fine-tune the generated images through the use of the LoRA adapters. By applying different adapters, users can explore a wide range of anime art styles and aesthetics, from the bold and vibrant to the delicate and intricate.

Another aspect worth exploring is the model's handling of complex prompts. While the model performs well with detailed, structured prompts, it can also generate interesting results when given more open-ended or abstract prompts. Experimenting with different prompt structures and levels of detail can lead to unexpected and unique anime-style images.

Additionally, users may want to explore the model's capabilities in generating dynamic scenes or multi-character compositions. By incorporating elements like action, emotion, or narrative into the prompts, users can push the boundaries of what the model can create, resulting in compelling and visually striking anime-inspired artwork.

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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Animagine XL is a high-resolution, latent text-to-image diffusion model. The model has been fine-tuned on a curated dataset of superior-quality anime-style images, using a learning rate of 4e-7 over 27,000 global steps with a batch size of 16. It is derived from the Stable Diffusion XL 1.0 model. Similar models include Animagine XL 2.0, Animagine XL 3.0, and Animagine XL 3.1, all of which build upon the capabilities of the original Animagine XL model. Model inputs and outputs Animagine XL is a text-to-image generative model that can create high-quality anime-styled images from textual prompts. The model takes in a textual prompt as input and generates a corresponding image as output. Inputs Text prompt**: A textual description that describes the desired image, including elements like characters, settings, and artistic styles. Outputs Image**: A high-resolution, anime-styled image generated by the model based on the provided text prompt. Capabilities Animagine XL is capable of generating detailed, anime-inspired images from text prompts. The model can create a wide range of characters, scenes, and visual styles, including common anime tropes like magical elements, fantastical settings, and detailed technical designs. The model's fine-tuning on a curated dataset allows it to produce images with a consistent and appealing aesthetic. What can I use it for? Animagine XL can be used for a variety of creative projects and applications, such as: Anime art and illustration**: The model can be used to generate anime-style artwork, character designs, and illustrations for various media and entertainment projects. Concept art and visual development**: The model can assist in the early stages of creative projects by generating inspirational visual concepts and ideas. Educational and training tools**: The model can be integrated into educational or training applications to help users explore and learn about anime-style art and design. Hobbyist and personal use**: Anime enthusiasts can use the model to create original artwork, explore new character designs, and experiment with different visual styles. Things to try One key feature of Animagine XL is its support for Danbooru tags, which allows users to generate images using a structured, anime-specific prompt format. By using tags like face focus, cute, masterpiece, and 1girl, you can produce highly detailed and aesthetically pleasing anime-style images. Additionally, the model's ability to generate images at a variety of aspect ratios, including non-square resolutions, makes it a versatile tool for creating artwork and content for different platforms and applications.

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