├── CONTRIBUTING.md ├── LICENSE.md ├── README.md ├── dataset ├── backpack │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ ├── 04.jpg │ └── 05.jpg ├── backpack_dog │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── bear_plushie │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── berry_bowl │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ ├── 04.jpg │ └── 05.jpg ├── can │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ ├── 04.jpg │ └── 05.jpg ├── candle │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── cat │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── cat2 │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── clock │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ ├── 04.jpg │ └── 05.jpg ├── colorful_sneaker │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── dog │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── dog2 │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ ├── 04.jpg │ └── 05.jpg ├── dog3 │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ ├── 04.jpg │ └── 05.jpg ├── dog5 │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── dog6 │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── dog7 │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── dog8 │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── duck_toy │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ └── 03.jpg ├── fancy_boot │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ ├── 04.jpg │ └── 05.jpg ├── grey_sloth_plushie │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── monster_toy │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── pink_sunglasses │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ ├── 04.jpg │ └── 05.jpg ├── poop_emoji │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── prompts_and_classes.txt ├── rc_car │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── red_cartoon │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ └── 03.jpg ├── references_and_licenses.txt ├── robot_toy │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── shiny_sneaker │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ ├── 04.jpg │ └── 05.jpg ├── teapot │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg ├── vase │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ ├── 04.jpg │ └── 05.jpg └── wolf_plushie │ ├── 00.jpg │ ├── 01.jpg │ ├── 02.jpg │ ├── 03.jpg │ └── 04.jpg └── docs └── teaser_static.jpg /CONTRIBUTING.md: -------------------------------------------------------------------------------- 1 | # How to Contribute 2 | 3 | We'd love to accept your patches and contributions to this project. 4 | 5 | ## Before you begin 6 | 7 | ### Sign our Contributor License Agreement 8 | 9 | Contributions to this project must be accompanied by a 10 | [Contributor License Agreement](https://cla.developers.google.com/about) (CLA). 11 | You (or your employer) retain the copyright to your contribution; this simply 12 | gives us permission to use and redistribute your contributions as part of the 13 | project. 14 | 15 | If you or your current employer have already signed the Google CLA (even if it 16 | was for a different project), you probably don't need to do it again. 17 | 18 | Visit to see your current agreements or to 19 | sign a new one. 20 | 21 | ### Review our Community Guidelines 22 | 23 | This project follows 24 | [Google's Open Source Community Guidelines](https://opensource.google/conduct/). 25 | 26 | ## Contribution process 27 | 28 | ### Code Reviews 29 | 30 | All submissions, including submissions by project members, require review. 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For the avoidance of doubt, this paragraph does not form part of the public licenses. 156 | > 157 | > Creative Commons may be contacted at creativecommons.org 158 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # DreamBooth Dataset 2 | ## DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation 3 | 4 | ![teaser](docs/teaser_static.jpg) 5 | 6 | ### [project page](https://dreambooth.github.io/) | [arxiv](https://arxiv.org/abs/2208.12242) 7 | 8 | This is the official repository for the dataset of the Google paper DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. 9 | 10 | ## Dataset 11 | 12 | The 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. 13 | 14 | We 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. 15 | 16 | The images have either been captured by the paper authors, or sourced from www.unsplash.com 17 | 18 | The 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. 19 | 20 | ## Academic Citation 21 | 22 | If you use this work please cite: 23 | ``` 24 | @inproceedings{ruiz2023dreambooth, 25 | title={Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation}, 26 | author={Ruiz, Nataniel and Li, Yuanzhen and Jampani, Varun and Pritch, Yael and Rubinstein, Michael and Aberman, Kfir}, 27 | booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, 28 | year={2023} 29 | } 30 | ``` 31 | 32 | ## Disclaimer 33 | 34 | This is not an officially supported Google product. 35 | -------------------------------------------------------------------------------- /dataset/backpack/00.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/google/dreambooth/4f887af7970a06fc0cd3adaa1d0b368547d6a1d0/dataset/backpack/00.jpg -------------------------------------------------------------------------------- /dataset/backpack/01.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/google/dreambooth/4f887af7970a06fc0cd3adaa1d0b368547d6a1d0/dataset/backpack/01.jpg -------------------------------------------------------------------------------- /dataset/backpack/02.jpg: -------------------------------------------------------------------------------- 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backpack_dog,backpack 6 | bear_plushie,stuffed animal 7 | berry_bowl,bowl 8 | can,can 9 | candle,candle 10 | cat,cat 11 | cat2,cat 12 | clock,clock 13 | colorful_sneaker,sneaker 14 | dog,dog 15 | dog2,dog 16 | dog3,dog 17 | dog5,dog 18 | dog6,dog 19 | dog7,dog 20 | dog8,dog 21 | duck_toy,toy 22 | fancy_boot,boot 23 | grey_sloth_plushie,stuffed animal 24 | monster_toy,toy 25 | pink_sunglasses,glasses 26 | poop_emoji,toy 27 | rc_car,toy 28 | red_cartoon,cartoon 29 | robot_toy,toy 30 | shiny_sneaker,sneaker 31 | teapot,teapot 32 | vase,vase 33 | wolf_plushie,stuffed animal 34 | 35 | Prompts 36 | 37 | Object Prompts 38 | 39 | prompt_list = [ 40 | 'a {0} {1} in the jungle'.format(unique_token, class_token), 41 | 'a {0} {1} in the snow'.format(unique_token, class_token), 42 | 'a {0} {1} on the beach'.format(unique_token, class_token), 43 | 'a {0} {1} on a cobblestone street'.format(unique_token, class_token), 44 | 'a {0} {1} on top of pink fabric'.format(unique_token, class_token), 45 | 'a {0} {1} on top of a wooden floor'.format(unique_token, class_token), 46 | 'a {0} {1} with a city in the background'.format(unique_token, class_token), 47 | 'a {0} {1} with a mountain in the background'.format(unique_token, class_token), 48 | 'a {0} {1} with a blue house in the background'.format(unique_token, class_token), 49 | 'a {0} {1} on top of a purple rug in a forest'.format(unique_token, class_token), 50 | 'a {0} {1} with a wheat field in the background'.format(unique_token, class_token), 51 | 'a {0} {1} with a tree and autumn leaves in the background'.format(unique_token, class_token), 52 | 'a {0} {1} with the Eiffel Tower in the background'.format(unique_token, class_token), 53 | 'a {0} {1} floating on top of water'.format(unique_token, class_token), 54 | 'a {0} {1} floating in an ocean of milk'.format(unique_token, class_token), 55 | 'a {0} {1} on top of green grass with sunflowers around it'.format(unique_token, class_token), 56 | 'a {0} {1} on top of a mirror'.format(unique_token, class_token), 57 | 'a {0} {1} on top of the sidewalk in a crowded street'.format(unique_token, class_token), 58 | 'a {0} {1} on top of a dirt road'.format(unique_token, class_token), 59 | 'a {0} {1} on top of a white rug'.format(unique_token, class_token), 60 | 'a red {0} {1}'.format(unique_token, class_token), 61 | 'a purple {0} {1}'.format(unique_token, class_token), 62 | 'a shiny {0} {1}'.format(unique_token, class_token), 63 | 'a wet {0} {1}'.format(unique_token, class_token), 64 | 'a cube shaped {0} {1}'.format(unique_token, class_token) 65 | ] 66 | 67 | Live Subject Prompts 68 | 69 | prompt_list = [ 70 | 'a {0} {1} in the jungle'.format(unique_token, class_token), 71 | 'a {0} {1} in the snow'.format(unique_token, class_token), 72 | 'a {0} {1} on the beach'.format(unique_token, class_token), 73 | 'a {0} {1} on a cobblestone street'.format(unique_token, class_token), 74 | 'a {0} {1} on top of pink fabric'.format(unique_token, class_token), 75 | 'a {0} {1} on top of a wooden floor'.format(unique_token, class_token), 76 | 'a {0} {1} with a city in the background'.format(unique_token, class_token), 77 | 'a {0} {1} with a mountain in the background'.format(unique_token, class_token), 78 | 'a {0} {1} with a blue house in the background'.format(unique_token, class_token), 79 | 'a {0} {1} on top of a purple rug in a forest'.format(unique_token, class_token), 80 | 'a {0} {1} wearing a red hat'.format(unique_token, class_token), 81 | 'a {0} {1} wearing a santa hat'.format(unique_token, class_token), 82 | 'a {0} {1} wearing a rainbow scarf'.format(unique_token, class_token), 83 | 'a {0} {1} wearing a black top hat and a monocle'.format(unique_token, class_token), 84 | 'a {0} {1} in a chef outfit'.format(unique_token, class_token), 85 | 'a {0} {1} in a firefighter outfit'.format(unique_token, class_token), 86 | 'a {0} {1} in a police outfit'.format(unique_token, class_token), 87 | 'a {0} {1} wearing pink glasses'.format(unique_token, class_token), 88 | 'a {0} {1} wearing a yellow shirt'.format(unique_token, class_token), 89 | 'a {0} {1} in a purple wizard outfit'.format(unique_token, class_token), 90 | 'a red {0} {1}'.format(unique_token, class_token), 91 | 'a purple {0} {1}'.format(unique_token, class_token), 92 | 'a shiny {0} {1}'.format(unique_token, class_token), 93 | 'a wet {0} {1}'.format(unique_token, class_token), 94 | 'a cube shaped {0} {1}'.format(unique_token, class_token) 95 | ] 96 | -------------------------------------------------------------------------------- /dataset/rc_car/00.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/google/dreambooth/4f887af7970a06fc0cd3adaa1d0b368547d6a1d0/dataset/rc_car/00.jpg -------------------------------------------------------------------------------- /dataset/rc_car/01.jpg: -------------------------------------------------------------------------------- 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The authors of the work collected some of the images, while the others are taken from the unsplash dataset (license can be found at the bottom of the page). 8 | 9 | backpack: 10 | (credit: https://unsplash.com/@laurachouette) 11 | 00: https://unsplash.com/photos/McufHC16mNg 12 | 01: https://unsplash.com/photos/9w8FA2Wwe9s 13 | 02: https://unsplash.com/photos/KGq78h_aO2E 14 | 03: https://unsplash.com/photos/H4pgFraBoeg 15 | 04: https://unsplash.com/photos/vjGlgf0C7wI 16 | 05: https://unsplash.com/photos/kf3Fp1Hi7CY 17 | 18 | backpack_dog: Photos taken by Yuanzhen Li 19 | 20 | bear_plushie: Photos taken by Nataniel Ruiz 21 | 22 | berry_bowl: 23 | (credit: https://unsplash.com/@laurachouette) 24 | 00: https://unsplash.com/photos/vpAu0_AgfGg 25 | 01: https://unsplash.com/photos/gj09-98Wg6Y 26 | 02: https://unsplash.com/photos/yGLAOAGtCJ4 27 | 03: https://unsplash.com/photos/ZaoaxmSooBQ 28 | 04: https://unsplash.com/photos/B9vKuV5wW3U 29 | 05: https://unsplash.com/photos/3k-_Mll0sfg 30 | 31 | can: 32 | (credit: https://unsplash.com/@zn35pjqq) 33 | 00: https://unsplash.com/photos/mMNKYx0QOoU 34 | 01: https://unsplash.com/photos/v_E6Xs4I5sY 35 | 02: https://unsplash.com/photos/0FMVEONcXD 36 | 03: https://unsplash.com/photos/NYglRJHuGG8 37 | 04: https://unsplash.com/photos/ZjdyGugKVVA 38 | 05: https://unsplash.com/photos/IlW5nQdcjb0 39 | 40 | candle: Photos taken by Nataniel Ruiz 41 | 42 | cat: 43 | (credit: https://unsplash.com/@alvannee) 44 | 00: https://unsplash.com/photos/LaXCd-05C6A 45 | 01: https://unsplash.com/photos/9uMvphEhd_c 46 | 02: https://unsplash.com/photos/9uMvphEhd_c 47 | 03: Same as 03, but shifted 48 | 04: https://unsplash.com/photos/REXghNSlBnQ 49 | 50 | cat2: 51 | (credit: https://unsplash.com/@milada_vigerova) 52 | 00: https://unsplash.com/photos/0TPAlZ87mzk 53 | 01: https://unsplash.com/photos/FWC9A4-jAHk 54 | 02: https://unsplash.com/photos/JLN0U5Rj0gg 55 | 03: https://unsplash.com/photos/7E9qvMOsZEM 56 | 04: https://unsplash.com/photos/BgRs4dzW4Js 57 | 58 | clock: 59 | (credit: https://unsplash.com/@laurachouette) 60 | 00: https://unsplash.com/photos/yXJ1kuB87-I 61 | 01: https://unsplash.com/photos/coqq99Xyl5Q 62 | 02: https://unsplash.com/photos/vcb0zyfS758 63 | 03: https://unsplash.com/photos/pxpw52_Cvsg 64 | 04: https://unsplash.com/photos/t6hNUc8vspA 65 | 05: https://unsplash.com/photos/ZivdrOQ70F4 66 | 67 | colorful_sneaker: Photos taken by Nataniel Ruiz 68 | 69 | dog: 70 | (credit: https://unsplash.com/@alvannee) 71 | 00: https://unsplash.com/photos/1N2N_MBXdk0 72 | 01: https://unsplash.com/photos/NeRrOJJs1J8 73 | 02: https://unsplash.com/photos/lvFlpqEvuRM 74 | 03: https://unsplash.com/photos/Qz3l8A2Vs9w 75 | 04: https://unsplash.com/photos/Qz3l8A2Vs9w 76 | 77 | dog2: 78 | (credit: https://unsplash.com/@lukasz_rawa) 79 | 00: https://unsplash.com/photos/_XQGtxgfJoM 80 | 01: https://unsplash.com/photos/6gNjFIQiVMA 81 | 02: https://unsplash.com/photos/cGzwHEcTVQA 82 | 03: removed - author: https://unsplash.com/@lukasz_rawa 83 | 04: https://unsplash.com/photos/stqcemI22qo 84 | 05: removed - author: https://unsplash.com/@lukasz_rawa 85 | 86 | dog3: Photos by Yael Pritch 87 | 88 | dog5: 89 | (credit: https://unsplash.com/@macrz) 90 | 00: https://unsplash.com/photos/_M0_XN1jCR4 91 | 01: https://unsplash.com/photos/WEtBlBOTGoE 92 | 02: removed - author: https://unsplash.com/@macrz 93 | 03: 02 flipped 94 | 04: https://unsplash.com/photos/_CY2n3G5Ldw 95 | 96 | dog6: 97 | (credit: https://unsplash.com/@alvannee) 98 | 00: https://unsplash.com/photos/Id1DBHv4fbg 99 | 01: https://unsplash.com/photos/eoqnr8ikwFE 100 | 02: https://unsplash.com/photos/brFsZ7qszSY 101 | 03: https://unsplash.com/photos/9M0tSjb-cpA 102 | 04: https://unsplash.com/photos/LHeDYF6az38 103 | 104 | dog7: 105 | (credit: https://unsplash.com/@o5ky) 106 | 00: https://unsplash.com/photos/iCFrewO723s 107 | 01: https://unsplash.com/photos/rWDGvEVX3ls 108 | 02: https://unsplash.com/photos/uPT0hIe-zxI 109 | 03: https://unsplash.com/photos/yihlaRCCvd4 110 | 04: https://unsplash.com/photos/hJ9DI6tRWcQ 111 | 112 | dog8: 113 | (credit: https://unsplash.com/@marslady) 114 | 00: https://unsplash.com/photos/02VF5KHny5g 115 | 01: https://unsplash.com/photos/DORi0W_afqk 116 | 02: https://unsplash.com/photos/E_YBgxDRVbM 117 | 03: https://unsplash.com/photos/h9h72wKRkHE 118 | 04: https://unsplash.com/photos/kU9NnI73MRg 119 | 120 | duck_toy: Photos taken by Nataniel Ruiz 121 | 122 | fancy_boot: Photos taken by Nataniel Ruiz 123 | 124 | grey_sloth_plushie: Photos taken by Nataniel Ruiz 125 | 126 | monster_toy: Photos taken by Varun Jampani 127 | 128 | pink_sunglasses: 129 | (credit: https://unsplash.com/@laurachouette) 130 | 00: https://unsplash.com/photos/qwNGguHxtUQ 131 | 01: https://unsplash.com/photos/VgVvWHYwl3c 132 | 02: https://unsplash.com/photos/fmKN0MyGwM0 133 | 03: https://unsplash.com/photos/s2E2xZ3W9sk 134 | 04: https://unsplash.com/photos/V7omo1FbNEM 135 | 05: https://unsplash.com/photos/fvOhi4nCMIo 136 | 137 | poop_emoji: Photos taken by Nataniel Ruiz 138 | 139 | rc_car: Photos taken by Varun Jampani 140 | 141 | red_cartoon: Art by Isabel Arduz (credit: https://www.instagram.com/estemonstruosonso/?hl=en) - all permission to distribute and modify secured. 142 | 143 | robot_toy: Photos taken by Varun Jampani 144 | 145 | shiny_sneaker: Photos taken by Nataniel Ruiz 146 | 147 | teapot: 148 | (credit: https://unsplash.com/@oriento) 149 | 00: https://unsplash.com/photos/VloyvGLX_kU 150 | 01: https://unsplash.com/photos/9kk22G44kvg 151 | 02: https://unsplash.com/photos/z26H7EPwARg 152 | 03: https://unsplash.com/photos/_TVv5D0zX_g 153 | 04: https://unsplash.com/photos/nCejLxKmI80 154 | 155 | vase: 156 | (credit: https://unsplash.com/@oriento) 157 | 00: https://unsplash.com/photos/BIw9PSZnVps 158 | 01: https://unsplash.com/photos/j5JvgCa1uIk 159 | 02: https://unsplash.com/photos/lh7ZFoTtfi0 160 | 03: https://unsplash.com/photos/BrE3gQE8lp8 161 | 04: https://unsplash.com/photos/0dg-EfHgA8Q 162 | 05: https://unsplash.com/photos/pq5HmyY4_Os 163 | 164 | wolf_plushie: Photos taken by Nataniel Ruiz 165 | 166 | 167 | Licenses 168 | 169 | Unsplash 170 | All unsplash.com images have the Unsplash license copied below: 171 | https://unsplash.com/license 172 | License 173 | Unsplash photos are made to be used freely. Our license reflects that. 174 | 175 | All photos can be downloaded and used for free 176 | Commercial and non-commercial purposes 177 | No permission needed (though attribution is appreciated!) 178 | What is not permitted 👎 179 | Photos cannot be sold without significant modification. 180 | Compiling photos from Unsplash to replicate a similar or competing service. 181 | Tip: How to give attribution ✏️ 182 | Even though attribution isn’t required, Unsplash photographers appreciate it as it provides exposure to their work and encourages them to continue sharing. 183 | 184 | Photo by Jeremy Bishop on Unsplash 185 | 186 | Longform 187 | Unsplash grants you an irrevocable, nonexclusive, worldwide copyright license to download, copy, modify, distribute, perform, and use photos from Unsplash for free, including for commercial purposes, without permission from or attributing the photographer or Unsplash. This license does not include the right to compile photos from Unsplash to replicate a similar or competing service. 188 | 189 | Other Images 190 | All other images were either taken by the authors, or created by friends of the authors and all permissions to modify, distribute, copy, perform and use are given to the authors. 191 | -------------------------------------------------------------------------------- /dataset/robot_toy/00.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/google/dreambooth/4f887af7970a06fc0cd3adaa1d0b368547d6a1d0/dataset/robot_toy/00.jpg -------------------------------------------------------------------------------- /dataset/robot_toy/01.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/google/dreambooth/4f887af7970a06fc0cd3adaa1d0b368547d6a1d0/dataset/robot_toy/01.jpg 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