Maintainer: furusu

Total Score


Last updated 5/23/2024


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

Get summaries of the top AI models delivered straight to your inbox:

Model overview

SSD-1B-anime is a high-quality text-to-image diffusion model developed by furusu, a maintainer on Hugging Face. It is an upgraded version of the SSD-1B and NekorayXL models, with additional fine-tuning on a high-quality anime dataset to enhance the model's ability to generate detailed and aesthetically pleasing anime-style images.

The model has been trained using a combination of the SSD-1B, NekorayXL, and sdxl-1.0 models as a foundation, along with specialized training techniques such as Latent Consistency Modeling (LCM) and Low-Rank Adaptation (LoRA) to further refine the model's understanding and generation of anime-style art.

Model inputs and outputs


  • Text prompts: The model accepts text prompts that describe the desired anime-style image, using Danbooru-style tagging for optimal results. Example prompts include "1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck".


  • High-quality anime-style images: The model generates detailed and aesthetically pleasing anime-style images that closely match the provided text prompts. The generated images can be in a variety of aspect ratios and resolutions, including 1024x1024, 1216x832, and 832x1216.


The SSD-1B-anime model excels at generating high-quality anime-style images from text prompts. The model has been finely tuned to capture the diverse and distinct styles of anime art, offering improved image quality and aesthetics compared to its predecessor models.

The model's capabilities are particularly impressive when using Danbooru-style tagging in the prompts, as it has been trained to understand and interpret a wide range of descriptive tags. This allows users to generate images that closely match their desired style and composition.

What can I use it for?

The SSD-1B-anime model can be a valuable tool for a variety of applications, including:

  • Art and Design: The model can be used by artists and designers to create unique and high-quality anime-style artwork, serving as a source of inspiration and a means to enhance creative processes.

  • Entertainment and Media: The model's ability to generate detailed anime images makes it ideal for use in animation, graphic novels, and other media production, offering a new avenue for storytelling.

  • Education: In educational contexts, the SSD-1B-anime model can be used to develop engaging visual content, assisting in teaching concepts related to art, technology, and media.

  • Personal Use: Anime enthusiasts can use the SSD-1B-anime model to bring their imaginative concepts to life, creating personalized artwork based on their favorite genres and styles.

Things to try

When using the SSD-1B-anime model, it's important to experiment with different prompt styles and techniques to get the best results. Some things to try include:

  • Incorporating quality and rating modifiers (e.g., "masterpiece, best quality") to guide the model towards generating high-aesthetic images.
  • Using negative prompts (e.g., "lowres, bad anatomy, bad hands") to further refine the generated outputs.
  • Exploring the various aspect ratios and resolutions supported by the model to find the perfect fit for your project.
  • Combining the SSD-1B-anime model with complementary LoRA adapters, such as the SSD-1B-anime-cfgdistill and lcm-ssd1b-anime, to further customize the aesthetic of your generated images.

This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

Related Models




Total Score


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

Read more

Updated Invalid Date




Total Score


The animefull-final-pruned model is a text-to-image AI model similar to the AnimagineXL-3.1 model, which is an anime-themed stable diffusion model. Both models aim to generate anime-style images from text prompts. The animefull-final-pruned model was created by the maintainer a1079602570. Model inputs and outputs The animefull-final-pruned model takes text prompts as input and generates anime-style images as output. The prompts can describe specific characters, scenes, or concepts, and the model will attempt to generate a corresponding image. Inputs Text prompts describing the desired image Outputs Anime-style images generated based on the input text prompts Capabilities The animefull-final-pruned model is capable of generating a wide range of anime-style images from text prompts. It can create images of characters, landscapes, and various scenes, capturing the distinct anime aesthetic. What can I use it for? The animefull-final-pruned model can be used for creating anime-themed art, illustrations, and visual content. This could include character designs, background images, and other assets for anime-inspired projects, such as games, animations, or fan art. The model's capabilities could also be leveraged for educational or entertainment purposes, allowing users to explore and generate anime-style imagery. Things to try Experimenting with different text prompts can uncover the model's versatility in generating diverse anime-style images. Users can try prompts that describe specific characters, scenes, or moods to see how the model interprets and visualizes the input. Additionally, combining the animefull-final-pruned model with other text-to-image models or image editing tools could enable the creation of more complex and personalized anime-inspired artwork.

Read more

Updated Invalid Date




Total Score


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.

Read more

Updated Invalid Date




Total Score


Baka-Diffusion is a latent diffusion model that has been fine-tuned and modified to push the limits of Stable Diffusion 1.x models. It uses the Danbooru tagging system and is designed to be compatible with various LoRA and LyCORIS models. The model is available in two variants - Baka-Diffusion[General] and Baka-Diffusion[S3D]. The Baka-Diffusion[General] variant was created as a "blank canvas" model, aiming to be compatible with most LoRA/LyCORIS models while maintaining coherency and outperforming the [S3D] variant. It uses various inference tricks to improve issues like color burn and stability at higher CFG scales. The Baka-Diffusion[S3D] variant is designed to bring a subtle 3D textured look and mimic natural lighting, diverging from the typical anime-style lighting. It works well with low rank networks like LoRA and LyCORIS, and is optimized for higher resolutions like 600x896. Model inputs and outputs Inputs Textual prompts**: The model accepts text prompts that describe the desired image, using the Danbooru tagging system. Negative prompts**: The model also accepts negative prompts to exclude certain undesirable elements from the generated image. Outputs Images**: The model generates high-quality anime-style images based on the provided textual prompts. Capabilities The Baka-Diffusion model excels at generating detailed, coherent anime-style images. It is particularly well-suited for creating characters and scenes with a natural, 3D-like appearance. The model's compatibility with LoRA and LyCORIS models allows for further customization and style mixing. What can I use it for? Baka-Diffusion can be used as a powerful tool for creating anime-inspired artwork and illustrations. Its versatility makes it suitable for a wide range of projects, from character design to background creation. The model's ability to generate images with a subtle 3D effect can be particularly useful for creating immersive and visually engaging scenes. Things to try One interesting aspect of Baka-Diffusion is the use of inference tricks, such as leveraging textual inversion, to improve the model's performance and coherency. Experimenting with different textual inversion models or creating your own can be a great way to explore the capabilities of this AI system. Additionally, combining Baka-Diffusion with other LoRA or LyCORIS models can lead to unique and unexpected results, allowing you to blend styles and create truly distinctive artwork.

Read more

Updated Invalid Date