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wan16x_vae

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=== eval ===

Wan2.2-TI2V-5B             | MSE=7.782e-04 PSNR=34.25 LPIPS=0.052 Edge=0.121 KL=9.472 | Z[min/mean/max/std]=[-4.789, -0.012, 4.266, 0.375] | Skew[min/mean/max]=[-0.397, 0.022, 0.653] | Kurt[min/mean/max]=[-0.482, 0.006, 0.538]
AiArtLab/wan16x_vae        | MSE=7.275e-04 PSNR=34.51 LPIPS=0.051 Edge=0.118 KL=9.472 | Z[min/mean/max/std]=[-4.789, -0.012, 4.266, 0.375] | Skew[min/mean/max]=[-0.397, 0.022, 0.653] | Kurt[min/mean/max]=[-0.482, 0.006, 0.538]
Wan2.2-T2V-A14B            | MSE=7.073e-04 PSNR=34.59 LPIPS=0.048 Edge=0.115 KL=7.781 | Z[min/mean/max/std]=[-15.336, -0.159, 17.703, 2.563] | Skew[min/mean/max]=[-0.343, 0.006, 0.367] | Kurt[min/mean/max]=[-0.538, -0.071, 0.594]

=== percent ===

| Model                     |       MSE |      PSNR |     LPIPS |      Edge |    Skew|0 |    Kurt|0 |
|----------------------------|-----------|-----------|-----------|-----------|-----------|-----------|
| Wan2.2-TI2V-5B             |      100% |      100% |      100% |      100% |      100% |      100% |
| AiArtLab/wan16x_vae        |    107.0% |    100.8% |    102.3% |    102.0% |    100.0% |    100.0% |
| Wan2.2-T2V-A14B            |    110.0% |    101.0% |    108.0% |    105.1% |    110.1% |     62.1% |

Base repo (eval/train scripts) https://huggingface.co/AiArtLab/simplevae

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