google/dreambooth

1---2configs:3- config_name: default4  data_files:5  - split: train6    path: "dataset/backpack/*.jpg"7- config_name: backpack8  data_files:9  - split: train10    path: "dataset/backpack/*.jpg"11- config_name: backpack_dog12  data_files:13  - split: train14    path: "dataset/backpack_dog/*.jpg"15- config_name: bear_plushie16  data_files:17  - split: train18    path: "dataset/bear_plushie/*.jpg"19- config_name: berry_bowl20  data_files:21  - split: train22    path: "dataset/berry_bowl/*.jpg"23- config_name: can24  data_files:25  - split: train26    path: "dataset/can/*.jpg"27- config_name: candle28  data_files:29  - split: train30    path: "dataset/candle/*.jpg"31- config_name: cat32  data_files:33  - split: train34    path: "dataset/cat/*.jpg"35- config_name: cat236  data_files:37  - split: train38    path: "dataset/cat2/*.jpg"39- config_name: clock40  data_files:41  - split: train42    path: "dataset/clock/*.jpg"43- config_name: colorful_sneaker44  data_files:45  - split: train46    path: "dataset/colorful_sneaker/*.jpg"47- config_name: dog48  data_files:49  - split: train50    path: "dataset/dog/*.jpg"51- config_name: dog252  data_files:53  - split: train54    path: "dataset/dog2/*.jpg"55- config_name: dog356  data_files:57  - split: train58    path: "dataset/dog3/*.jpg"59- config_name: dog560  data_files:61  - split: train62    path: "dataset/dog5/*.jpg"63- config_name: dog664  data_files:65  - split: train66    path: "dataset/dog6/*.jpg"67- config_name: dog768  data_files:69  - split: train70    path: "dataset/dog7/*.jpg"71- config_name: dog872  data_files:73  - split: train74    path: "dataset/dog8/*.jpg"75- config_name: duck_toy76  data_files:77  - split: train78    path: "dataset/duck_toy/*.jpg"79- config_name: fancy_boot80  data_files:81  - split: train82    path: "dataset/fancy_boot/*.jpg"83- config_name: grey_sloth_plushie84  data_files:85  - split: train86    path: "dataset/grey_sloth_plushie/*.jpg"87- config_name: monster_toy88  data_files:89  - split: train90    path: "dataset/monster_toy/*.jpg"91- config_name: pink_sunglasses92  data_files:93  - split: train94    path: "dataset/pink_sunglasses/*.jpg"95- config_name: poop_emoji96  data_files:97  - split: train98    path: "dataset/poop_emoji/*.jpg"99- config_name: rc_car100  data_files:101  - split: train102    path: "dataset/rc_car/*.jpg"103- config_name: red_cartoon104  data_files:105  - split: train106    path: "dataset/red_cartoon/*.jpg"107- config_name: robot_toy108  data_files:109  - split: train110    path: "dataset/robot_toy/*.jpg"111- config_name: shiny_sneaker112  data_files:113  - split: train114    path: "dataset/shiny_sneaker/*.jpg"115- config_name: teapot116  data_files:117  - split: train118    path: "dataset/teapot/*.jpg"119- config_name: vase120  data_files:121  - split: train122    path: "dataset/vase/*.jpg"123- config_name: wolf_plushie124  data_files:125  - split: train126    path: "dataset/wolf_plushie/*.jpg"127license: cc-by-4.0128---129# Dataset Card for "dreambooth"130 131## Dataset of the Google paper DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation132 133The dataset includes 30 subjects of 15 different classes. 9 out of these subjects are live subjects (dogs and cats) and 21 are objects. The dataset contains a variable number of images per subject (4-6). Images of the subjects are usually captured in different conditions, environments and under different angles.134 135We include a file dataset/prompts\_and\_classes.txt which contains all of the prompts used in the paper for live subjects and objects, as well as the class name used for the subjects.136 137The images have either been captured by the paper authors, or sourced from www.unsplash.com138 139The dataset/references\_and\_licenses.txt file contains a list of all the reference links to the images in www.unsplash.com - and attribution to the photographer, along with the license of the image.140 141### [project page](https://dreambooth.github.io/) | [arxiv](https://arxiv.org/abs/2208.12242)142 143## Academic Citation144 145If you use this work please cite:146```147@inproceedings{ruiz2023dreambooth,148  title={Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation},149  author={Ruiz, Nataniel and Li, Yuanzhen and Jampani, Varun and Pritch, Yael and Rubinstein, Michael and Aberman, Kfir},150  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},151  year={2023}152}153```154 155## Disclaimer156 157This is not an officially supported Google product.