Animagine XL

Overview

Animagine XL is a high-resolution, latent text-to-image diffusion model. The model has been fine-tuned using a learning rate of 4e-7 over 27000 global steps with a batch size of 16 on a curated dataset of superior-quality anime-style images. This model is derived from Stable Diffusion XL 1.0.

Like other anime-style Stable Diffusion models, it also supports Danbooru tags to generate images.

e.g. face focus, cute, masterpiece, best quality, 1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck

Features

1. High-Resolution Images: The model trained with 1024x1024 resolution. The model is trained using NovelAI Aspect Ratio Bucketing Tool so that it can be trained at non-square resolutions.

2. Anime-styled Generation: Based on given text prompts, the model can create high quality anime-styled images.

3. Fine-Tuned Diffusion Process: The model utilizes a fine-tuned diffusion process to ensure high quality and unique image output.

Model Details

• Developed by: Linaqruf | https://huggingface.co/Linaqruf

• Model type: Diffusion-based text-to-image generative model

• Model Description: This is a model that can be used to generate and modify high quality anime-themed images based on text prompts.

• License: CreativeML Open RAIL++-M License

• Finetuned from model: Stable Diffusion XL 1.0

How to Use:

• You need to use Danbooru-style tag as prompt instead of natural language, otherwise you will get realistic result instead of anime

• You can use any generic negative prompt or use the following suggested negative prompt to guide the model towards high aesthetic generationse:

lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry

• And, the following should also be prepended to prompts to get high aesthetic results:

masterpiece, best quality

• Use this cheat sheet to find the best resolution:

768 x 1344: Vertical (9:16) 915 x 1144: Portrait (4:5) 1024 x 1024: Square (1:1) 1182 x 886: Photo (4:3) 1254 x 836: Landscape (3:2) 1365 x 768: Widescreen (16:9) 1564 x 670: Cinematic (21:9)