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README.md
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---
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language:
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- en
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license: odc-by
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size_categories:
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- 100M<n<1B
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task_categories:
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- text-to-image
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- image-to-text
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pretty_name: leonardo
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tags:
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- stable diffusion
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- prompts
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---
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# Dataset Card for Leonardo
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~958M image generations.
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## Dataset Details
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### Dataset Description
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Approximately 958 million images generated using [Leonardo AI](https://leonardo.ai/). Entries include generation details such as prompts and model used, anonymized user information, creation date, and URL to the image.
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- **Curated by:** hlky
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- **License:** Open Data Commons Attribution License (ODC-By) v1.0
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## Dataset Structure
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- **id:** Unique identifier for the image
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- **user_id:** Identifer for the user
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- **createdAt:** Timestamp in format `%Y-%m-%dT%H:%M:%S.fffZ`
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- **base_model:** Base model used
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- **custom_model:** Finetune used
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- **sd_version:** Version of SD
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- **prompt:** Prompt used to generate the image
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- **negative_prompt:** Negative prompt
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- **sampler:** Sampler used
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- **seed:** Seed value
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- **steps:** Number of steps
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- **cfg_scale:** Classifier-Free Guidance Scale
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- **width:** Width of the image
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- **height:** Height of the image
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- **url:** URL to the image, may also be JPEG
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- **like_count:** Number of likes
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# Citation Information
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```
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@misc{leonardo_ai_dataset,
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author = {hlky},
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title = {Leonardo},
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year = {2024},
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publisher = {hlky},
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journal = {Hugging Face repository},
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howpublished = {\url{[https://huggingface.co/datasets/bigdata-pw/leonardo](https://huggingface.co/datasets/bigdata-pw/leonardo)}}
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}
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```
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## another BIG data banger straight from the underground
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## with thanks to Leonardo AI and their community ❤️
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