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--- |
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license: cc0-1.0 |
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language: |
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- en |
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annotations_creators: |
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- no-annotation |
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size_categories: |
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- 1M<n<10M |
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source_datasets: |
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- stylebreeder/stylebreeder |
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pretty_name: stylebreeder |
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layout: default |
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tags: |
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- stable diffusion |
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- prompt engineering |
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- prompts |
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- research paper |
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dataset_info: |
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- name: style_embedding |
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dtype: sequence |
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sequence: |
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dtype: float16 |
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- name: content_embedding |
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dtype: sequence |
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sequence: |
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dtype: float16 |
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- name: image |
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dtype: image |
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--- |
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This is a version of [stylebreeder/stylebreeder](https://huggingface.co/datasets/stylebreeder/stylebreeder), the 2M split. |
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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. |
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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. |
