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