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# DiffusionDB |
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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. 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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## Get Started |
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DiffusionDB is available at: [https://poloclub.github.io/diffusiondb](https://poloclub.github.io/diffusiondb). |
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## Dataset Structure |
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We use a modularized file structure to distribute DiffusionDB. The 2 million images in DiffusionDB are split into 2,000 folders, where each folder contains 1,000 images and a JSON file that links these 1,000 images to their prompts and hyperparameters. |
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``` |
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./ |
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├── images |
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│ ├── part-000001 |
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│ │ ├── 3bfcd9cf-26ea-4303-bbe1-b095853f5360.png |
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│ │ ├── 5f47c66c-51d4-4f2c-a872-a68518f44adb.png |
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│ │ ├── 66b428b9-55dc-4907-b116-55aaa887de30.png |
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│ │ ├── 99c36256-2c20-40ac-8e83-8369e9a28f32.png |
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│ │ ├── f3501e05-aef7-4225-a9e9-f516527408ac.png |
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│ │ ├── [...] |
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│ │ └── part-000001.json |
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│ ├── part-000002 |
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│ ├── part-000003 |
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│ ├── part-000004 |
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│ ├── [...] |
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│ └── part-002000 |
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└── metadata.parquet |
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``` |
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These sub-folders have names `part-00xxxx`, and each image has a unique name generated by [UUID Version 4](https://en.wikipedia.org/wiki/Universally_unique_identifier). The JSON file in a sub-folder has the same name as the sub-folder. Each image is a PNG file. The JSON file contains key-value pairs mapping image filenames to their prompts and hyperparameters. For example, below is the image of `f3501e05-aef7-4225-a9e9-f516527408ac.png` and its key-value pair in `part-000001.json`. |
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<img width="300" src="https://i.imgur.com/gqWcRs2.png"> |
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```json |
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{ |
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"f3501e05-aef7-4225-a9e9-f516527408ac.png": { |
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"p": "geodesic landscape, john chamberlain, christopher balaskas, tadao ando, 4 k, ", |
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"se": 38753269, |
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"c": 12.0, |
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"st": 50, |
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"sa": "k_lms" |
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}, |
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} |
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``` |
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The data fields are: |
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- key: Unique image name |
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- `p`: Prompt |
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- `se`: Random seed |
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- `c`: CFG Scale (guidance scale) |
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- `st`: Steps |
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- `sa`: Sampler |
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At the top level folder of DiffusionDB, we include a metadata table in Parquet format `metadata.parquet`. |
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This table has seven columns: `image_name`, `prompt`, `part_id`, `seed`, `step`, `cfg`, and `sampler`, and it has 2 million rows where each row represents an image. `seed`, `step`, and `cfg` are We choose Parquet because it is column-based: researchers can efficiently query individual columns (e.g., prompts) without reading the entire table. Below are the five random rows from the table. |
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| image_name | prompt | part_id | seed | step | cfg | sampler | |
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|------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------|------------|------|-----|---------| |
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| 49f1e478-ade6-49a8-a672-6e06c78d45fc.png | ryan gosling in fallout 4 kneels near a nuclear bomb | 1643 | 2220670173 | 50 | 7.0 | 8 | |
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| b7d928b6-d065-4e81-bc0c-9d244fd65d0b.png | A beautiful robotic woman dreaming, cinematic lighting, soft bokeh, sci-fi, modern, colourful, highly detailed, digital painting, artstation, concept art, sharp focus, illustration, by greg rutkowski | 87 | 51324658 | 130 | 6.0 | 8 | |
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| 19b1b2f1-440e-4588-ba96-1ac19888c4ba.png | bestiary of creatures from the depths of the unconscious psyche, in the style of a macro photograph with shallow dof | 754 | 3953796708 | 50 | 7.0 | 8 | |
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| d34afa9d-cf06-470f-9fce-2efa0e564a13.png | close up portrait of one calico cat by vermeer. black background, three - point lighting, enchanting, realistic features, realistic proportions. | 1685 | 2007372353 | 50 | 7.0 | 8 | |
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| c3a21f1f-8651-4a58-a4d4-7500d97651dc.png | a bottle of jack daniels with the word medicare replacing the word jack daniels | 243 | 1617291079 | 50 | 7.0 | 8 | |
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To save space, we use an integer to encode the `sampler` in the table above. |
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|Sampler|Integer Value| |
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|:--|--:| |
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|ddim|1| |
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|plms|2| |
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|k_euler|3| |
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|k_euler_ancestral|4| |
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|ddik_heunm|5| |
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|k_dpm_2|6| |
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|k_dpm_2_ancestral|7| |
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|k_lms|8| |
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## Dataset Creation |
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We collected all images from the official Stable Diffusion Discord server. Please read our research paper for details. The code is included in [`./scripts/`](./scripts/). |
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## Data Removal |
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If you find any harmful images or prompts in DiffusionDB, you can use [this Google Form](https://forms.gle/GbYaSpRNYqxCafMZ9) to report them. Similarly, if you are a creator of an image included in this dataset, you can use the [same form](https://forms.gle/GbYaSpRNYqxCafMZ9) to let us know if you would like to remove your image from DiffusionDB. We will closely monitor this form and update DiffusionDB periodically. |
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## Credits |
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DiffusionDB is created by [Jay Wang](https://zijie/wang), [Evan Montoya](https://www.linkedin.com/in/evan-montoya-b252391b4/), [David Munechika](https://www.linkedin.com/in/dmunechika/), [Alex Yang](https://alexanderyang.me), [Ben Hoover](https://www.bhoov.com), [Polo Chau](https://faculty.cc.gatech.edu/~dchau/). |
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## Citation |
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## Licensing |
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The DiffusionDB dataset is available under the [CC0 1.0 License](https://creativecommons.org/publicdomain/zero/1.0/). |
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The Python code in this repository is available under the [MIT License](./LICENSE). |
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## Contact |
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If you have any questions, feel free to [open an issue](https://github.com/poloclub/diffusiondb/issues/new) or contact [Jay Wang](https://zijie.wang). |
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