--- library_name: KVAE 2D tags: - model_hub_mixin - pytorch_model_hub_mixin - vae license: mit ---
Evaluation results of KVAE-2D model on [Imagenet-256](https://huggingface.co/datasets/benjamin-paine/imagenet-1k-256x256) (valid) and [DIV2K](https://data.vision.ee.ethz.ch/cvl/DIV2K/) (valid, high-resolution).
All compared models perform 8x8 compression with 16 latent channels:
| Dataset | Model | PSNR | SSIM | LPIPS | rFID |
|---------------------|---------|-----------|----------|-----------|----------|
| ImageNet (256, val) | Wan-2.1 | 29.03 | 0.85 | 0.069 | 0.62 | |
| ImageNet (256, val) | Flux | 31.11 | **0.91** | **0.041** | **0.11** |
| ImageNet (256, val) | KVAE 2D | **31.71** | **0.91** | 0.054 | 0.46 |
| DIV2K | Wan-2.1 | 31.87 | 0.89 | 0.069 | - | |
| DIV2K | Flux | 32.64 | 0.91 | 0.061 | - |
| DIV2K | KVAE 2D | **33.67** | **0.92** | **0.060** | - |