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  1. README.md +4 -3
  2. eval_alchemist.py +8 -8
  3. vaetest/001_all.png +2 -2
  4. vaetest/001_decoded_AiArtLab_sdxl_vae.png +3 -0
  5. vaetest/001_decoded_AiArtLab_sdxlvae_nightly.png +3 -0
  6. vaetest/001_decoded_AiArtLab_sdxs.png +3 -0
  7. vaetest/001_decoded_FLUX.1_schnell_vae.png +3 -0
  8. vaetest/001_decoded_KBlueLeaf_EQ_SDXL_VAE.png +3 -0
  9. vaetest/001_decoded_madebyollin_sdxl_vae_fp16.png +3 -0
  10. vaetest/001_orig.png +2 -2
  11. vaetest/002_all.png +2 -2
  12. vaetest/002_decoded_AiArtLab_sdxl_vae.png +3 -0
  13. vaetest/002_decoded_AiArtLab_sdxlvae_nightly.png +3 -0
  14. vaetest/002_decoded_AiArtLab_sdxs.png +3 -0
  15. vaetest/002_decoded_FLUX.1_schnell_vae.png +3 -0
  16. vaetest/002_decoded_KBlueLeaf_EQ_SDXL_VAE.png +3 -0
  17. vaetest/002_decoded_madebyollin_sdxl_vae_fp16.png +3 -0
  18. vaetest/002_orig.png +2 -2
  19. vaetest/003_all.png +2 -2
  20. vaetest/003_decoded_AiArtLab_sdxl_vae.png +3 -0
  21. vaetest/003_decoded_AiArtLab_sdxlvae_nightly.png +3 -0
  22. vaetest/003_decoded_AiArtLab_sdxs.png +3 -0
  23. vaetest/003_decoded_FLUX.1_schnell_vae.png +3 -0
  24. vaetest/003_decoded_KBlueLeaf_EQ_SDXL_VAE.png +3 -0
  25. vaetest/003_decoded_madebyollin_sdxl_vae_fp16.png +3 -0
  26. vaetest/003_orig.png +2 -2
  27. vaetest/004_all.png +2 -2
  28. vaetest/004_decoded_AiArtLab_sdxl_vae.png +3 -0
  29. vaetest/004_decoded_AiArtLab_sdxlvae_nightly.png +3 -0
  30. vaetest/004_decoded_AiArtLab_sdxs.png +3 -0
  31. vaetest/004_decoded_FLUX.1_schnell_vae.png +3 -0
  32. vaetest/004_decoded_KBlueLeaf_EQ_SDXL_VAE.png +3 -0
  33. vaetest/004_decoded_madebyollin_sdxl_vae_fp16.png +3 -0
  34. vaetest/004_orig.png +2 -2
  35. vaetest/005_all.png +2 -2
  36. vaetest/005_decoded_AiArtLab_sdxl_vae.png +3 -0
  37. vaetest/005_decoded_AiArtLab_sdxlvae_nightly.png +3 -0
  38. vaetest/005_decoded_AiArtLab_sdxs.png +3 -0
  39. vaetest/005_decoded_FLUX.1_schnell_vae.png +3 -0
  40. vaetest/005_decoded_KBlueLeaf_EQ_SDXL_VAE.png +3 -0
  41. vaetest/005_decoded_madebyollin_sdxl_vae_fp16.png +3 -0
  42. vaetest/005_orig.png +2 -2
  43. vaetest/006_all.png +2 -2
  44. vaetest/006_decoded_AiArtLab_sdxl_vae.png +3 -0
  45. vaetest/006_decoded_AiArtLab_sdxlvae_nightly.png +3 -0
  46. vaetest/006_decoded_AiArtLab_sdxs.png +3 -0
  47. vaetest/006_decoded_FLUX.1_schnell_vae.png +3 -0
  48. vaetest/006_decoded_KBlueLeaf_EQ_SDXL_VAE.png +3 -0
  49. vaetest/006_decoded_madebyollin_sdxl_vae_fp16.png +3 -0
  50. vaetest/006_orig.png +2 -2
README.md CHANGED
@@ -19,12 +19,12 @@ Imagenet eval (256px)
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  Alchemist eval (512px)
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- | Model | MSE | PSNR | LPIPS | Edge |
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  |--------------------------------|------------|------------|------------|------------|
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  | madebyollin/sdxl-vae-fp16 | 100% | 100% | 100% | 100% |
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- | KBlueLeaf/EQ-SDXL-VAE | 106.2% | 99.8% | 96.5% | 97.6% |
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  | AiArtLab/sdxl_vae | 111.8% | 101.7% | 106.7% | 102.3% |
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- | AiArtLab/sdxlvae_nightly | 117.9% | 102.3% | 107.0% | 102.9% |
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  | AiArtLab/sdxs | 321.4% | 119.5% | 263.7% | 176.4% |
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  | FLUX.1-schnell-vae | 382.2% | 120.9% | 320.7% | 201.6% |
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@@ -55,6 +55,7 @@ We are currently testing the possibility of improving the SDXL VAE decoder by in
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  - Precision: FP32
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  - Effective Batch Size: 16 (batch size 2 + gradient accumulation 8)
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  - Optimizer: AdamW (8-bit)
 
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  ## Implementation
60
 
 
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  Alchemist eval (512px)
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+ | Модель | MSE | PSNR | LPIPS | Edge |
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  |--------------------------------|------------|------------|------------|------------|
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  | madebyollin/sdxl-vae-fp16 | 100% | 100% | 100% | 100% |
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+ | KBlueLeaf/EQ-SDXL-VAE | 106.1% | 99.8% | 96.5% | 97.6% |
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  | AiArtLab/sdxl_vae | 111.8% | 101.7% | 106.7% | 102.3% |
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+ | AiArtLab/sdxlvae_nightly | 118.0% | 102.3% | 107.2% | 102.9% |
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  | AiArtLab/sdxs | 321.4% | 119.5% | 263.7% | 176.4% |
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  | FLUX.1-schnell-vae | 382.2% | 120.9% | 320.7% | 201.6% |
30
 
 
55
  - Precision: FP32
56
  - Effective Batch Size: 16 (batch size 2 + gradient accumulation 8)
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  - Optimizer: AdamW (8-bit)
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+ - ++ MSE && Edge Loss: https://wandb.ai/recoilme/vae/runs/qy438uak
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  ## Implementation
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eval_alchemist.py CHANGED
@@ -15,8 +15,8 @@ DTYPE = torch.float16
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  IMAGE_FOLDER = "/workspace/alchemist" #wget https://huggingface.co/datasets/AiArtLab/alchemist/resolve/main/alchemist.zip
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  MIN_SIZE = 1280
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  CROP_SIZE = 512
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- BATCH_SIZE = 1
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- MAX_IMAGES = 1000
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  NUM_WORKERS = 4
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  NUM_SAMPLES_TO_SAVE = 10 # Сколько примеров сохранить (0 - не сохранять)
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  SAMPLES_FOLDER = "vaetest"
@@ -26,13 +26,13 @@ VAE_LIST = [
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  # ("stable-diffusion-v1-5/stable-diffusion-v1-5", AutoencoderKL, "stable-diffusion-v1-5/stable-diffusion-v1-5", "vae"),
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  # ("cross-attention/asymmetric-autoencoder-kl-x-1-5", AsymmetricAutoencoderKL, "cross-attention/asymmetric-autoencoder-kl-x-1-5", None),
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- # ("madebyollin/sdxl-vae-fp16", AutoencoderKL, "madebyollin/sdxl-vae-fp16-fix", None),
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- # ("AiArtLab/sdxs", AutoencoderKL, "AiArtLab/sdxs", "vae"),
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  # ("vae", AutoencoderKL, "/workspace/sdxl_vae/vae", None),
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- # ("AiArtLab/sdxl_vae_asym", AsymmetricAutoencoderKL, "AiArtLab/sdxl_vae", "asymmetric_vae"),
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- ("vae_nightly", AutoencoderKL, "/workspace/sdxl_vae/vae_nightly", None),
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- # ("KBlueLeaf/EQ-SDXL-VAE", AutoencoderKL, "KBlueLeaf/EQ-SDXL-VAE", None),
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- # ("FLUX.1-schnell-vae", AutoencoderKL, "black-forest-labs/FLUX.1-schnell", "vae"),
 
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  ]
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  # --------------------------- Sobel Edge Detection ---------------------------
 
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  IMAGE_FOLDER = "/workspace/alchemist" #wget https://huggingface.co/datasets/AiArtLab/alchemist/resolve/main/alchemist.zip
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  MIN_SIZE = 1280
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  CROP_SIZE = 512
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+ BATCH_SIZE = 10
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+ MAX_IMAGES = 0
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  NUM_WORKERS = 4
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  NUM_SAMPLES_TO_SAVE = 10 # Сколько примеров сохранить (0 - не сохранять)
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  SAMPLES_FOLDER = "vaetest"
 
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  # ("stable-diffusion-v1-5/stable-diffusion-v1-5", AutoencoderKL, "stable-diffusion-v1-5/stable-diffusion-v1-5", "vae"),
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  # ("cross-attention/asymmetric-autoencoder-kl-x-1-5", AsymmetricAutoencoderKL, "cross-attention/asymmetric-autoencoder-kl-x-1-5", None),
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+ ("madebyollin/sdxl-vae-fp16", AutoencoderKL, "madebyollin/sdxl-vae-fp16-fix", None),
 
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  # ("vae", AutoencoderKL, "/workspace/sdxl_vae/vae", None),
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+ ("KBlueLeaf/EQ-SDXL-VAE", AutoencoderKL, "KBlueLeaf/EQ-SDXL-VAE", None),
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+ ("AiArtLab/sdxl_vae", AutoencoderKL, "AiArtLab/sdxl_vae", None),
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+ ("AiArtLab/sdxlvae_nightly", AutoencoderKL, "AiArtLab/sdxl_vae", "vae_nightly"),
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+ ("AiArtLab/sdxs", AutoencoderKL, "AiArtLab/sdxs", "vae"),
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+ ("FLUX.1-schnell-vae", AutoencoderKL, "black-forest-labs/FLUX.1-schnell", "vae"),
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  ]
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38
  # --------------------------- Sobel Edge Detection ---------------------------
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vaetest/006_decoded_AiArtLab_sdxl_vae.png ADDED

Git LFS Details

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  • Pointer size: 131 Bytes
  • Size of remote file: 347 kB
vaetest/006_decoded_AiArtLab_sdxlvae_nightly.png ADDED

Git LFS Details

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  • Pointer size: 131 Bytes
  • Size of remote file: 347 kB
vaetest/006_decoded_AiArtLab_sdxs.png ADDED

Git LFS Details

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  • Pointer size: 131 Bytes
  • Size of remote file: 356 kB
vaetest/006_decoded_FLUX.1_schnell_vae.png ADDED

Git LFS Details

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  • Pointer size: 131 Bytes
  • Size of remote file: 355 kB
vaetest/006_decoded_KBlueLeaf_EQ_SDXL_VAE.png ADDED

Git LFS Details

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  • Pointer size: 131 Bytes
  • Size of remote file: 365 kB
vaetest/006_decoded_madebyollin_sdxl_vae_fp16.png ADDED

Git LFS Details

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  • Pointer size: 131 Bytes
  • Size of remote file: 350 kB
vaetest/006_orig.png CHANGED

Git LFS Details

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  • Pointer size: 131 Bytes
  • Size of remote file: 429 kB

Git LFS Details

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  • Pointer size: 131 Bytes
  • Size of remote file: 348 kB