metadata
license: cc
library_name: diffusers
tags:
- art
model-index:
- name: 16ch-VAE
results:
- task:
type: encoder-loss
dataset:
name: yerevann/coco-karpathy
type: image
metrics:
- name: PSNR
type: PSNR
value: 31.5151
16ch-VAE
Disclaimer: this VAE is not intended to be a replacement for SD3's VAE since the latent spaces are entirely different.
A fully open source 16ch VAE reproduction for the SD3. Useful for people who are building their own image generation models and need an off-the-shelf VAE. Natively trained in fp16.
| VAE | rFID | PSNR | LPIPS |
|---|---|---|---|
| SD1.5 VAE | 0.3131 | 26.4332 | 0.0328 |
| SDXL VAE | 0.3511 | 26.7577 | 0.032 |
| SD3 VAE | 0.0257 | 30.3231 | 0.0132 |
| 16ch-VAE | 0.0667 | 31.5151 | 0.0136 |
| 16ch-VAE with FFT* | 0.1584 | 31.0542 | 0.0281 |
Usage
Awaiting https://github.com/huggingface/diffusers/pull/8769 in diffusers!