Datasets:
Sub-tasks:
image-captioning
Languages:
English
Multilinguality:
multilingual
Size Categories:
n>1T
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
original
ArXiv:
License:
Add a teaser
Browse files
README.md
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# DiffusionDB
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- **Homepage:** [DiffusionDB homepage](https://poloclub.github.io/diffusiondb)
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- **Repository:** [DiffusionDB repository](https://github.com/poloclub/diffusiondb)
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- **Paper:** [DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models](https://poloclub.github.io/diffusiondb)
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- **Point of Contact:** [Jay Wang](mailto:jayw@gatech.edu)
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DiffusionDB is the first large-scale text-to-image prompt dataset. It contains 2 million images generated by Stable Diffusion using prompts and hyperparameters specified by real users.
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### Supported Tasks and Leaderboards
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The unprecedented scale and diversity of this human-actuated dataset provide exciting research opportunities in understanding the interplay between prompts and generative models, detecting deepfakes, and designing human-AI interaction tools to help users more easily use these models.
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# DiffusionDB
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- **Homepage:** [DiffusionDB homepage](https://poloclub.github.io/diffusiondb)
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- **Repository:** [DiffusionDB repository](https://github.com/poloclub/diffusiondb)
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- **Distribution:** [DiffusionDB Hugging Face Dataset](https://huggingface.co/datasets/poloclub/diffusiondb)
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- **Paper:** [DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models](https://poloclub.github.io/diffusiondb)
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- **Point of Contact:** [Jay Wang](mailto:jayw@gatech.edu)
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DiffusionDB is the first large-scale text-to-image prompt dataset. It contains 2 million images generated by Stable Diffusion using prompts and hyperparameters specified by real users.
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DiffusionDB is publicly available at [https://huggingface.co/datasets/poloclub/diffusiondb](https://huggingface.co/datasets/poloclub/diffusiondb).
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### Supported Tasks and Leaderboards
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The unprecedented scale and diversity of this human-actuated dataset provide exciting research opportunities in understanding the interplay between prompts and generative models, detecting deepfakes, and designing human-AI interaction tools to help users more easily use these models.
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