๐ Evo-Nishikie-v1
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Evo-Nishikie-v1 is an experimental education-purpose Ukiyoe colorization model. The model is a ControlNet trained with Evo-Ukiyoe. The dataset used to train the model came from Ukiyoe images belonged to Ritsumeikan University, Art Research Center. The sample data is belonged to the Pre-Modern Japanese Text dataset, owned by National Institute of Japanese Literature and curated by ROIS-DS Center for Open Data in the Humanities.
Please refer to our blog for more details.
Usage
Use the code below to get started with the model.
Click to expand
- Git clone this model card
git clone https://huggingface.co/SakanaAI/Evo-Nishikie-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-nishikie python=3.11 conda activate evo-nishikie
- Install packages
cd Evo-Nishikie-v1 pip install -r requirements.txt
- Run
import torch from io import BytesIO from PIL import Image import requests from evo_nishikie_v1 import load_evo_nishikie #Get image from URL #url = "https://huggingface.co/spaces/SakanaAI/Evo-Nishikie/resolve/main/sample2.jpg" #original_image = Image.open(BytesIO(requests.get(url).content)) #Use local image original_image = Image.open('test.jpg') # Generate device = "cuda" pipe, processor = load_evo_nishikie(device) images = pipe( prompt="็็ฉใ็ใๅฅณๆงใใ่ตคใๅใๆฑใใใใไธไบบใฎๅญใฉใใๆๆผใ่ปใๅผใใฆใใพใใ่ๆฏใซใฏๆจใใใใพใใๆ้ซๅ่ณชใฎ่ผปใฎๆตฎไธ็ตตใ่ถ ่ฉณ็ดฐใ", negative_prompt="ๆใ", image=processor(original_image), guidance_scale=7.0, controlnet_conditioning_scale=0.8, num_inference_steps=35, num_images_per_prompt=1, output_type="pil", ).images images[0].save("out.png")
Model Details
- Developed by: Sakana AI
- Model type: Diffusion-based image-to-image generative model
- Language(s): Japanese
- Blog: https://sakana.ai/evo-ukiyoe
License
The Python script included in this repository is 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. The sample images used in the code has CC BY SA 4.0 license and is belonged to the Pre-Modern Japanese Text dataset, owned by National Institute of Japanese Literature and curated by ROIS-DS Center for Open Data in the Humanities.
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-Nishikie was trained based on Evo-Ukiyoe and 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-Nishikie},
author = {Clanuwat, Tarin and Shing, Makoto and Imajuku, Yuki and Kitamoto, Asanobu and Akama, Ryo}
}
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