---
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](https://arxiv.org/abs/2403.03206). 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](https://huggingface.co/AuraDiffusion/16ch-vae)         | 0.0667 | 31.5151 | 0.0136 |
| [16ch-VAE with FFT](https://huggingface.co/AuraDiffusion/16ch-vae)* | 0.1584 | 31.0542 | 0.0281 |


### Usage

Awaiting https://github.com/huggingface/diffusers/pull/8769 in diffusers!