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AiArtLab
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sdxs-1b

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recoilme commited on
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1 Parent(s): 9e98145

alpha

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Files changed (27) hide show
  1. README.md +2 -2
  2. media/boy.jpg +3 -0
  3. media/girl.jpg +2 -2
  4. media/result_grid.jpg +2 -2
  5. samples/unet_384x704_0.jpg +2 -2
  6. samples/unet_416x704_0.jpg +2 -2
  7. samples/unet_448x704_0.jpg +2 -2
  8. samples/unet_480x704_0.jpg +2 -2
  9. samples/unet_512x704_0.jpg +2 -2
  10. samples/unet_544x704_0.jpg +2 -2
  11. samples/unet_576x704_0.jpg +2 -2
  12. samples/unet_608x704_0.jpg +2 -2
  13. samples/unet_640x704_0.jpg +2 -2
  14. samples/unet_672x704_0.jpg +2 -2
  15. samples/unet_704x384_0.jpg +2 -2
  16. samples/unet_704x416_0.jpg +2 -2
  17. samples/unet_704x448_0.jpg +2 -2
  18. samples/unet_704x480_0.jpg +2 -2
  19. samples/unet_704x512_0.jpg +2 -2
  20. samples/unet_704x544_0.jpg +2 -2
  21. samples/unet_704x576_0.jpg +2 -2
  22. samples/unet_704x608_0.jpg +2 -2
  23. samples/unet_704x640_0.jpg +2 -2
  24. samples/unet_704x672_0.jpg +2 -2
  25. samples/unet_704x704_0.jpg +2 -2
  26. test.ipynb +2 -2
  27. unet/diffusion_pytorch_model.safetensors +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ At AiArtLab, we strive to create a free, compact and fast model that can be trai
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  - Custom VAE: 32ch8x16x
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  - Speed: Sampling: 100%|██████████| 40/40 [00:01<00:00, 29.98it/s]
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  - Resolution: Default 1024x1408, trained from 768 to 1408 with step 64 (384/704/32)
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- - Limitations: trained on small datasets ~1-2kk, focused on art / illustrations / anime (with ~10% photo)
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  - Captions: danbooru, natural (short/medium), trained with 250 max toks
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  [Online demo on HF space](https://huggingface.co/spaces/LoveScapeAI/sdxs)
@@ -63,7 +63,7 @@ pipe = DiffusionPipeline.from_pretrained(
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  prompt = "1girl, smiling, red eyes, blue hair, white shirt"
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  refined = pipe.refine_prompts(prompt)[0]
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- negative_prompt="low quality"
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  image = pipe(
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  prompt=refined,
 
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  - Custom VAE: 32ch8x16x
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  - Speed: Sampling: 100%|██████████| 40/40 [00:01<00:00, 29.98it/s]
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  - Resolution: Default 1024x1408, trained from 768 to 1408 with step 64 (384/704/32)
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+ - Limitations: trained on small datasets ~1-2kk, focused on art / illustrations / anime (with ~10% photo / use "photo" in negative prompt)
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  - Captions: danbooru, natural (short/medium), trained with 250 max toks
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  [Online demo on HF space](https://huggingface.co/spaces/LoveScapeAI/sdxs)
 
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  prompt = "1girl, smiling, red eyes, blue hair, white shirt"
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  refined = pipe.refine_prompts(prompt)[0]
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+ negative_prompt="low quality, bad quality, photo, low details"
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  image = pipe(
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  prompt=refined,
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