metadata
license: cc0-1.0
dataset_info:
features:
- name: style
dtype: string
- name: content
dtype: string
- name: image
dtype: image
- name: id
dtype: string
splits:
- name: train
num_bytes: 3155812770
num_examples: 1738
download_size: 3155909210
dataset_size: 3155812770
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Style Content Grid SDXL
Dataset Structure
The dataset contains 1738 images of resolution 1024x1024, generated by Stable Diffusion XL (sd_xl_base_1.0
with model hash 31e35c80fc
). They were all generated in lllyasviel/stable-diffusion-webui-forge,
with the following positive and negative prompts:
Positive prompt: <style> of a <content>, \n masterpiece, best quality, high quality,
Negative prompt: (worst quality, low quality, normal quality),
with the following generation details:
Steps: 20, Sampler: Euler a, CFG scale: 8, Size: 1024x1024, Model hash: 31e35c80fc, Model: sd_xl_base_1.0, Version: f0.0.17v1.8.0rc-previous-1-ga9e0c387
The generation process is automated by the adieyal/sd-dynamic-prompts plugin, with the following template:
{1$$pencil sketch by da Vinci| painting by Rembrandt| drawing by Picasso| glazed ceramic sculpture| Chinese ink wash painting| ukiyo-e painting by Tsukioka Yoshitoni| painting by van Gogh| photograph| painting by Frida Kahlo| colorful collage} of a {1$$horse|cat|dog|man|woman|library|mountains|fish|solar system|bedroom}, \nmasterpiece, best quality, high quality,
Each row of the dataset contains:
image
: The image itself, in PNG format.id
: Its original filename.style
: A string describing what the style is.- Can be one of 10 values: "pencil sketch by da Vinci| painting by Rembrandt| drawing by Picasso| glazed ceramic sculpture| Chinese ink wash painting| ukiyo-e painting by Tsukioka Yoshitoni| painting by van Gogh| photograph| painting by Frida Kahlo| colorful collage"
content
: A string describing what the content is.- Can be one of 10 values: "horse|cat|dog|man|woman|library|mountains|fish|solar system|bedroom"
Example uses
To load the dataset:
from datasets import load_dataset
ds = load_dataset("yuxi-liu-wired/style-content-grid-SDXL")
TODO: load CSD.
Licensing
The dataset is released under Creative Commons Zero v1.0 Universal.
@misc{yuxi-liu-wired_2024_style-content-grid-SDXL,
author = {Yuxi Liu},
title = {Style Content Grid SDXL},
year = {2024},
howpublished = {Hugging Face Dataset},
url = {https://huggingface.co/datasets/yuxi-liu-wired/style-content-grid-SDXL}
}