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Datasets:
poloclub
/
diffusiondb

Tasks:
Text-to-Image
Image-to-Text
Sub-tasks:
image-captioning
Languages:
English
Size:
n>1T
ArXiv:
Tags:
stable diffusion
prompt engineering
prompts
research paper
License:
Dataset card Files
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- ---
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- license: cc0-1.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # DiffusionDB
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+
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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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+
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+ DiffusionDB is available at: [https://poloclub.github.io/diffusiondb](https://poloclub.github.io/diffusiondb).
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+
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+ ## Dataset Structure
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+
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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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+ ./
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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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+
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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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+
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+ <img width="300" src="https://i.imgur.com/gqWcRs2.png">
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+
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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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+
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+ The data fields are:
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+
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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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+
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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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+
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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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+
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+ To save space, we use an integer to encode the `sampler` in the table above.
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+
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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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+
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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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+
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+ ## Credits
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+
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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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+
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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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+
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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).