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| license: mit |
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| tags: |
| - image-text-dataset |
| - synthetic-dataset |
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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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