Feature Summary
Qwen2D VAE Support for image models. Uses 3x less vram and is 2.5x faster.
Detailed Description
Model: https://huggingface.co/Anzhc/Qwen2D-VAE
Author claims it's "Fully compatible with image models using Qwen/Wan VAEs.", but personally I've confirmed that it at least works for Anima.
On my particular hardware (GTX 960 4GB) vae decode time went from ~10s -> 2.99s on 512x512 image. Although I presume that is mostly (or at least partially) because I didnt need to do any offloading with this 2d vae. And memory for vae went from 139.84 MB to 48.28 MB
Images are pixel perfect between those 2 vae.
I've obtained those numbers from using my vibecoded patches, as I do not understand this code in the slightest I will not be making PR for it.
Alternatives you considered
No response
Additional context
No response
Feature Summary
Qwen2D VAE Support for image models. Uses 3x less vram and is 2.5x faster.
Detailed Description
Model: https://huggingface.co/Anzhc/Qwen2D-VAE
Author claims it's "Fully compatible with image models using Qwen/Wan VAEs.", but personally I've confirmed that it at least works for Anima.
On my particular hardware (GTX 960 4GB) vae decode time went from ~10s -> 2.99s on 512x512 image. Although I presume that is mostly (or at least partially) because I didnt need to do any offloading with this 2d vae. And memory for vae went from 139.84 MB to 48.28 MB
Images are pixel perfect between those 2 vae.
I've obtained those numbers from using my vibecoded patches, as I do not understand this code in the slightest I will not be making PR for it.
Alternatives you considered
No response
Additional context
No response