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Animagine XL 4.0

Animagine XL 4.0 is an anime-style Stable Diffusion XL model specifically designed for generating high-quality anime images.

#image generation
#AI model
#cartoon
#Stable Diffusion
#high quality
#fine-tuning
Animagine XL 4.0

Product Details

Animagine XL 4.0 is an animation theme generation model based on Stable Diffusion XL 1.0 fine-tuning. It used 8.4 million diverse anime-style images for training, and the training time reached 2,650 hours. This model focuses on generating and modifying anime-themed images through text prompts, supporting a variety of special tags that control different aspects of image generation. Its main advantages include high-quality image generation, rich anime-style details, and accurate reproduction of specific characters and styles. The model was developed by Cagliostro Research Lab under the CreativeML Open RAIL++-M license, which allows commercial use and modification.

Main Features

1
Supports high-quality animation image generation and can generate detailed animation characters and scenes.
2
Provides a variety of special tags, such as quality tags, rating tags, time tags, etc., through which users can precisely control the image generation effect.
3
Compatible with multiple platforms, such as Hugging Face Spaces, ComfyUI, Stable Diffusion Webui, etc., making it convenient for users to use in different environments.
4
Detailed usage guides and sample codes are provided to help users get started quickly, including recommended samplers, sampling steps, resolution, etc.
5
Advanced training methods and optimization techniques are used to ensure the high quality and style consistency of the generated images.

How to Use

1
Install the necessary libraries: Install the diffusers, transformers, accelerate and safetensors libraries via the command 'pip install diffusers transformers accelerate safetensors --upgrade'.
2
Load the model: Use the StableDiffusionXLPipeline.from_pretrained() method to load the model, specify the model path as 'cagliostrolab/animagine-xl-4.0', and set relevant parameters.
3
Set text prompts: Write detailed text prompts based on the image content that needs to be generated, including character name, style, scene and other information.
4
Set negative hints: Add negative descriptions to avoid generating low-quality or substandard images, such as 'lowres, bad anatomy', etc.
5
Generate images: Call the model's generation method, set appropriate parameters, such as the number of sampling steps, CFG Scale, etc., to generate images.
6
Save image: Save the generated image locally or for further processing and use.

Target Users

This model is suitable for animation enthusiasts, artists, designers, and creators who need to generate high-quality animation images. It can help users quickly generate animation images that meet specific style and character requirements, saving creation time and energy, while providing more inspiration and possibilities for animation creation.

Examples

Use this model to generate a character image of Eren Yeager in "Attack on Titan", showing his determined expression and battle scenes.

Based on the text description provided by the user, an image of Tanjiro and Nezuko in the same frame in "Demon Slayer: Kimetsu no Yaiba" is generated, with the background of the forest at sunrise.

Generate images of Izuku Midoriya in many different costumes and scenes from My Hero Academia for anime fans to use in their personal collection or share on social media.

Quick Access

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Categories

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› AI model
› Image generation

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