poloclub/diffusiondb resource

Health v2 · maintenance only

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Adoption not part of the score

1390 stars · 79 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DiffusionDB is the first large-scale text-to-image prompt gallery dataset, containing 14 million images generated by Stable Diffusion from prompts and hyperparameters specified by real users. It is distributed via Hugging Face Datasets in two subsets (2M and Large) with parquet metadata tables and a Python downloader.

Use cases

• study how prompts affect text-to-image generation quality
• train models to detect Stable Diffusion deepfakes
• build prompt engineering recommendation tools
• research human-AI interaction for generative models
• analyze real-world prompt and hyperparameter distributions
• train prompt expansion or prompt improvement models

When to choose

• you need large-scale real-user prompts paired with generated images and generation parameters
• you are researching text-to-image model behavior, deepfake detection, or prompt optimization
• you want a citable, openly licensed dataset for generative AI research

When to avoid

• you need images from models other than Stable Diffusion
• you cannot store multi-terabyte image collections (use the text-only metadata instead)
• you need curated or filtered commercial-grade training data with consent guarantees

Facets

dataset · maturity stable

machine-learning stable-diffusion prompt-engineering data-science artificial-intelligence computer-vision image-processing large-language-models python cross-platform text-to-image diffusion-models prompt-gallery hugging-face generative-ai research-dataset

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markdown · JSON · MCP: product_card(name="poloclub/diffusiondb")