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license: mit |
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tags: |
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- image-text-dataset |
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- synthetic-dataset |
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--- |
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A collection of regularization / class instance datasets for the [Stable Diffusion v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5) model to use for DreamBooth prior preservation loss training. Files labeled with "mse vae" used the [stabilityai/sd-vae-ft-mse](https://huggingface.co/stabilityai/sd-vae-ft-mse) VAE. For ease of use, datasets are stored as zip files containing 512x512 PNG images. The number of images in each zip file is specified at the end of the filename. |
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There is currently a bug where HuggingFace is incorrectly reporting that the datasets are pickled. They are not picked, they are simple ZIP files containing the images. |
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Currently this repository contains the following datasets (datasets are named after the prompt they used): |
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Art Styles |
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* "**artwork style**": 4125 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**artwork style**": 4200 images generated using 50 DPM++ 2S a Karras steps and a CFG of 7, using the MSE VAE. A negative prompt of "text" was also used for this dataset. |
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* "**artwork style**": 2750 images generated using 50 DPM++ 2S a Karras steps and a CFG of 7, using the MSE VAE. |
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* "**illustration style**": 3050 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**erotic photography**": 2760 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**landscape photography**": 2500 images generated using 50 DPM++ 2S a Karras steps and a CFG of 7, using the MSE VAE. A negative prompt of "b&w, text" was also used for this dataset. |
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People |
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* "**person**": 2115 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**woman**": 4420 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**guy**": 4820 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**supermodel**": 4411 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**bikini model**": 4260 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**sexy athlete**": 5020 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**femme fatale**": 4725 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**sexy man**": 3505 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**sexy woman**": 3500 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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Animals |
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* "**kitty**": 5100 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**cat**": 2050 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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Vehicles |
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* "**fighter jet**": 1600 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**train**": 2669 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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* "**car**": 3150 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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Themes |
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* "**cyberpunk**": 3040 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE. |
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I used the "Generate Forever" feature in [AUTOMATIC1111's WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) to create thousands of images for each dataset. Every image in a particular dataset uses the exact same settings, with only the seed value being different. |
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You can use my regularization / class image datasets with: https://github.com/ShivamShrirao/diffusers, https://github.com/JoePenna/Dreambooth-Stable-Diffusion, https://github.com/TheLastBen/fast-stable-diffusion, and any other DreamBooth projects that have support for prior preservation loss. |
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