metadata
library_name: diffusers
license: openrail++
datasets:
- ShinoharaHare/Danbooru-2024-Filtered-1M
language:
- en
base_model:
- ShinoharaHare/Waifu-Inpaint-XL
pipeline_tag: image-to-image
tags:
- anime
- art
- colorize
- colorizing
- stable-diffusion
- stable-diffusion-xl
Waifu-Colorize-XL
Waifu-Colorize-XL is an SDXL-based model specifically designed for colorizing anime-themed images.
Task | Model |
---|---|
Generation | WAI-NSFW-illustrious-SDXL-V14.0-V-Prediction |
Inpainting | Waifu-Inpaint-XL |
Colorizing | Waifu-Colorize-XL |
Overview
Waifu-Colorize-XL is further trained from Waifu-Inpaint-XL, enabling it to colorize grayscale or binarized images.
Model Details
- Developed by: ShinoharaHare
- Model type: Diffusion based image-to-image generative model for colorizing
- Language(s) (NLP): English
- License: CreativeML Open RAIL++-M
- Finetuned from: Waifu-Inpaint-XL
🧨 Diffusers


import torch
from diffusers import StableDiffusionXLInpaintPipeline
from diffusers.utils import load_image
pipeline = StableDiffusionXLInpaintPipeline.from_pretrained(
'ShinoharaHare/Waifu-Colorize-XL',
custom_pipeline='ShinoharaHare/Waifu-Colorize-XL',
torch_dtype=torch.half
)
pipeline.to('cuda')
grayscale_image = load_image('https://cdn-uploads.huggingface.co/production/uploads/630ed69a31970d1cd4fd575d/ZusF3zcH-auhPgSxY0LKs.png')
prompt = '' # Write you own prompt if you want.
colorized_image = pipeline(
prompt=prompt,
image=grayscale_image,
num_inference_steps=28,
guidance_scale=5.0 if prompt else 0.0,
height=grayscale_image.height,
width=grayscale_image.width
).images[0]
colorized_image.show()