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lingcarzy
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StableDiffusion-v1-5-Regularization-Images

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Image
Tags:
image-text-dataset
synthetic-dataset
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lingcarzy ProGamerGov commited on
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Duplicate from ProGamerGov/StableDiffusion-v1-5-Regularization-Images

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Files changed (23) hide show
  1. .gitattributes +53 -0
  2. README.md +72 -0
  3. artwork_style_neg_text_v1-5_mse_vae_dpm2SaKarras50_cfg7_n4200.zip +3 -0
  4. artwork_style_v1-5_mse_vae_ddim50_cfg7_n4125.zip +3 -0
  5. artwork_style_v1-5_mse_vae_dpm2SaKarras50_cfg7_n2750.zip +3 -0
  6. bikini_model_v1-5_mse_vae_ddim50_cfg7_n4260.zip +3 -0
  7. car_v1-5_mse_vae_ddim50_cfg7_n3150.zip +3 -0
  8. cat_v1-5_mse_vae_ddim50_cfg7_n2050.zip +3 -0
  9. cyberpunk_v1-5_mse_vae_ddim50_cfg7_n3040.zip +3 -0
  10. erotic_photography_v1-5_mse_vae_ddim50_cfg7_n2760.zip +3 -0
  11. femme_fatale_v1-5_mse_vae_ddim50_cfg7_n4725.zip +3 -0
  12. fighter_jet_v1-5_mse_vae_ddim50_cfg7_n1600.zip +3 -0
  13. guy_v1-5_mse_vae_ddim50_cfg7_n4820.zip +3 -0
  14. illustration_style_v1-5_mse_vae_ddim50_cfg7_n3050.zip +3 -0
  15. kitty_v1-5_mse_vae_ddim50_cfg7_n5100.zip +3 -0
  16. landscape_photography_neg_b&w_text_v1-5_mse_vae_dpm2SaKarras50_cfg7_n2500.zip +3 -0
  17. person_v1-5_mse_vae_ddim50_cfg7_n2115.zip +3 -0
  18. sexy_athlete_v1-5_mse_vae_ddim50_cfg7_n5020.zip +3 -0
  19. sexy_man_v1-5_mse_vae_ddim50_cfg7_n3505.zip +3 -0
  20. sexy_woman_v1-5_mse_vae_ddim50_cfg7_n3500.zip +3 -0
  21. supermodel_v1-5_mse_vae_ddim50_cfg7_n4411.zip +3 -0
  22. train_v1-5_mse_vae_ddim50_cfg7_n2669.zip +3 -0
  23. woman_v1-5_mse_vae_ddim50_cfg7_n4420.zip +3 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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README.md ADDED
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+ ---
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+ license: mit
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+
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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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+
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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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+
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+ Currently this repository contains the following datasets (datasets are named after the prompt they used):
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+
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+ Art Styles
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+
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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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+
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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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+
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+ People
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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