Type | VAE |
Stats | 18,089 503,161 |
Reviews | |
Published | Jan 12, 2024 |
Base Model | |
Hash | AutoV2 235745AF8D |
"As good as SDXL VAE but runs twice as fast and uses significantly less memory." https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/discussions/7
"Same license on stable-diffusion-xl-base-1.0
same vae license on sdxl-vae-fp16-fix
Troubleshoot:
Do not use the refiner with VAE built in
Try launch param: --medvram --opt-split-attention --xformers
SDXL-VAE-FP16-Fix is the [SDXL VAE](https://huggingface.co/stabilityai/sdxl-vae, but modified to run in fp16 precision without generating NaNs.
Details:
SDXL-VAE generates NaNs in fp16 because the internal activation values are too big:
SDXL-VAE-FP16-Fix was created by finetuning the SDXL-VAE to:
keep the final output the same, but
make the internal activation values smaller, by
scaling down weights and biases within the network
There are slight discrepancies between the output of SDXL-VAE-FP16-Fix and SDXL-VAE, but the decoded images should be close enough for most purposes." - bdsqlsz
NOT MY WORK - REUPLOADED HERE FOR EASE OF USE