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Change VAE note to specify as the most up-to-date

ClashSAN 2023-07-30 06:10:18 -04:00
parent 796732e4c2
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Features.md

@ -16,7 +16,7 @@ All examples are non-cherrypicked unless specified otherwise.
These models **specifically** are recommended for generating, merging and training.
>They have a built-in trained vae by [madebyollin](https://github.com/madebyollin) which fixes NaN infinity calculations running in fp16. ([VAE](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/blob/main/sdxl_vae.safetensors) for reference)
>They have a built-in trained vae by [madebyollin](https://github.com/madebyollin) which fixes NaN infinity calculations running in fp16. (Here is the most up-to-date [VAE](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/blob/main/sdxl_vae.safetensors) for reference)
## SD-XL BASE
@ -47,8 +47,6 @@ This secondary model is **designed** to process the `1024×1024` SD-XL image **n
- [wcde/sd-webui-refiner](https://github.com/wcde/sd-webui-refiner) *To try this kind of generation, you can use this extension.
>You will want 6gb minimum as `--lowvram` currently isn't supported.
# SD2 Variation Models
[PR](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/8958), ([more info.](https://github.com/Stability-AI/stablediffusion/blob/main/doc/UNCLIP.MD))