---
license: cc0-1.0
language:
- en
annotations_creators:
- no-annotation
size_categories:
- 1M<n<10M
source_datasets:
- stylebreeder/stylebreeder
pretty_name: stylebreeder
layout: default
tags:
- stable diffusion
- prompt engineering
- prompts
- research paper
dataset_info:
  - name: style_embedding
    dtype: sequence
    sequence:
      dtype: float16
  - name: content_embedding
    dtype: sequence
    sequence:
      dtype: float16
  - name: image
    dtype: image
---


This is a version of [stylebreeder/stylebreeder](https://huggingface.co/datasets/stylebreeder/stylebreeder), the 2M split.

I took the 2M split, then ran the [CSD](https://huggingface.co/yuxi-liu-wired/CSD) on every image, resulting in two 768-dimensional embedding vectors for each image. I also saved the images in a much smaller resolution in JPEG format to save space.

I apologize that the dataviewer doesn't work. I uploaded the dataset directly to Huggingface via the website UI and it seems their autoconversion broke something. I can't load the dataset directly because it runs out of memory locally, and I don't know how to stream a dataset from disk.