🧠 Model

sdxl-vae-fp16-fix

by madebyollin

--- license: mit tags: - stable-diffusion - stable-diffusion-diffusers inference: false --- SDXL-VAE-FP16-Fix is the SDXL VAE*, but modified to run in fp16 precision without generating NaNs. | VAE | Decoding in / precision | Decoding in precision | | --------------------- | -------------------------...

πŸ• Updated 12/18/2025

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Neural network architecture

1 Input Layer
2 Hidden Layers
3 Attention
4 Output Layer

About

SDXL-VAE-FP16-Fix is the SDXL VAE*, but modified to run in fp16 precision without generating NaNs. | VAE | Decoding in / precision | Decoding in precision | | ---- | | SDXL-VAE | βœ… | ⚠️ | | SDXL-VAE-FP16-Fix | βœ… | βœ… | Just load this checkpoint via : 1. Download the fixed sdxl.vae.safetensors file 2. Move t...

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • β€’ Data source: [{"source_platform":"huggingface","source_url":"https://huggingface.co/madebyollin/sdxl-vae-fp16-fix","fetched_at":"2025-12-18T04:21:59.010Z","adapter_version":"3.2.0"}]

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