Evo-Ukiyoe-v1 Open-source Image Generation Model - Freely Generate Japanese Ukiyo-e Style Paintings for Educational Purposes

Evo Ukiyoe V1

Developed by SakanaAI

Experimental Japanese Ukiyo-e style image generation model for educational purposes

Image Generation JapaneseOpen Source License:Apache-2.0 #Ukiyo-e style generation #Japanese text-to-image #Art creation assistance

Downloads 18

Release Time : 7/11/2024

Model Overview

Japanese Ukiyo-e style image generation model trained on Evo-SDXL-JP, with all training data sourced from the Ritsumeikan University Art Research Center's Ukiyo-e collection

Model Features

Japanese Ukiyo-e style

Specialized in generating traditional Japanese Ukiyo-e style artworks

Educational purpose

Primarily for research and educational purposes, aiding in the study and understanding of Ukiyo-e art

High-quality training data

Training data sourced from professional Ukiyo-e collections at Ritsumeikan University Art Research Center

Model Capabilities

Generate Ukiyo-e style images from text

Japanese prompt understanding

Art style conversion

Use Cases

Art education

Ukiyo-e style creation

Generate Ukiyo-e style artworks based on Japanese descriptions

Can be used for art history teaching and creation demonstrations

Cultural research

Traditional art reproduction

Generate Ukiyo-e style works from specific historical periods

Helps researchers understand artistic styles of different periods

🚀 🐟 Evo-Ukiyoe-v1

Evo-Ukiyoe-v1 is an experimental educational model for generating Japanese woodblock print Ukiyoe-style images. It's built upon Sakana AI's Evo-SDXL-JP. The training dataset consists of Ukiyoe images from Ritsumeikan University, Art Research Center.

🤗 Models | 📝 Blog | 🐦 Twitter

For more details, please refer to our blog.

🚀 Quick Start

Use the following steps to start using the model:

Click to expand

Git clone this model card

git clone https://huggingface.co/SakanaAI/Evo-Ukiyoe-v1

Install git-lfs if you don't have it yet.

sudo apt install git-lfs
git lfs install

Create conda env

conda create -n evo-ukiyoe python=3.11
conda activate evo-ukiyoe

Install packages

cd Evo-Ukiyoe-v1
pip install -r requirements.txt

Run

from evo_ukiyoe_v1 import load_evo_ukiyoe
 
prompt = "着物を着ている猫が庭でお茶を飲んでいる。"
pipe = load_evo_ukiyoe(device="cuda")
images = pipe(prompt + "輻の浮世絵。超詳細。", negative_prompt='', guidance_scale=8.0, num_inference_steps=40).images
images[0].save("image.png")

📚 Documentation

Model Details

Developed by: Sakana AI
Model type: Diffusion-based text-to-image generative model
Language(s): Japanese
Blog: https://sakana.ai/evo-ukiyoe/

Uses

This model is provided for research and development purposes only and should be considered as an experimental prototype. It is not intended for commercial use or deployment in mission-critical environments. Use of this model is at the user's own risk, and its performance and outcomes are not guaranteed. Sakana AI shall not be liable for any direct, indirect, special, incidental, or consequential damages, or any loss arising from the use of this model, regardless of the results obtained. Users must fully understand the risks associated with the use of this model and use it at their own discretion.

Acknowledgement

Evo-Ukiyoe was trained based on Evo-SDXL-JP. We would like to thank the developers of Evo-SDXL-JP source models for their contributions and for making their work available.

Citation

@misc{Evo-Ukiyoe, 
    url    = {[https://huggingface.co/SakanaAI/Evo-Nishikie-v1](https://huggingface.co/SakanaAI/Evo-Nishikie-v1)}, 
    title  = {Evo-Ukiyoe}, 
    author = {Clanuwat, Tarin and Shing, Makoto and Imajuku, Yuki and Kitamoto, Asanobu and Akama, Ryo}
}

📄 License

The Python script included in this repository and Lora weight are licensed under the Apache License 2.0. Please note that the license for the model/pipeline generated by this script is inherited from the source models.

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