# DiffusionDB

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.

## Get Started

DiffusionDB is available at: [https://poloclub.github.io/diffusiondb](https://poloclub.github.io/diffusiondb).

## Dataset Structure

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.

```
./
├── images
│   ├── part-000001
│   │   ├── 3bfcd9cf-26ea-4303-bbe1-b095853f5360.png
│   │   ├── 5f47c66c-51d4-4f2c-a872-a68518f44adb.png
│   │   ├── 66b428b9-55dc-4907-b116-55aaa887de30.png
│   │   ├── 99c36256-2c20-40ac-8e83-8369e9a28f32.png
│   │   ├── f3501e05-aef7-4225-a9e9-f516527408ac.png
│   │   ├── [...]
│   │   └── part-000001.json
│   ├── part-000002
│   ├── part-000003
│   ├── part-000004
│   ├── [...]
│   └── part-002000
└── metadata.parquet
```

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`.


<img width="300" src="https://i.imgur.com/gqWcRs2.png">

```json
{
  "f3501e05-aef7-4225-a9e9-f516527408ac.png": {
    "p": "geodesic landscape, john chamberlain, christopher balaskas, tadao ando, 4 k, ",
    "se": 38753269,
    "c": 12.0,
    "st": 50,
    "sa": "k_lms"
  },
}
```

The data fields are:

- key: Unique image name
- `p`: Prompt
- `se`: Random seed
- `c`: CFG Scale (guidance scale)
- `st`: Steps
- `sa`: Sampler

At the top level folder of DiffusionDB, we include a metadata table in Parquet format `metadata.parquet`.
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.


| image_name                               | prompt                                                                                                                                                                                                  | part_id | seed       | step | cfg | sampler |
|------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------|------------|------|-----|---------|
| 49f1e478-ade6-49a8-a672-6e06c78d45fc.png | ryan gosling in fallout 4 kneels near a nuclear bomb                                                                                                                                                    | 1643    | 2220670173 | 50   | 7.0 | 8       |
| 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       |
| 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       |
| 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       |
| 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       |

To save space, we use an integer to encode the `sampler` in the table above.

|Sampler|Integer Value|
|:--|--:|
|ddim|1|
|plms|2|
|k_euler|3|
|k_euler_ancestral|4|
|ddik_heunm|5|
|k_dpm_2|6|
|k_dpm_2_ancestral|7|
|k_lms|8|

## Dataset Creation

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/).

## Data Removal

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.

## Credits

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/).

## Citation


## Licensing

The DiffusionDB dataset is available under the [CC0 1.0 License](https://creativecommons.org/publicdomain/zero/1.0/).
The Python code in this repository is available under the [MIT License](./LICENSE).

## Contact

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).