---
author: nucleardiffusion
baseModel: SDXL 1.0
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metadata:
  format: SafeTensor
modelPage: https://civitai.com/models/140686?modelVersionId=155933
preview:
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website: Civitai
---

# Trigger Words

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# About this version

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# FIX FP16 Errors SDXL - Lower Memory use! --- sdxl-vae-fp16-fix by madebyollin

**"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](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)

same vae license on [sdxl-vae-fp16-fix](https://huggingface.co/madebyollin/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:

1. keep the final output the same, but
2. make the internal activation values smaller, by
3. 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](https://www.reddit.com/user/bdsqlsz/)

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**NOT MY WORK - REUPLOADED HERE FOR EASE OF USE**

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**COMMISSIONS NOW ACCEPTED!**
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**I have been away saving to upgrade my pc, please help fund more work:**
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