@@ -481,7 +481,7 @@ For img2img, VAE is used to process user's input image before the sampling, and
"sd_vae_checkpoint_cache":OptionInfo(0,"VAE Checkpoints to cache in RAM",gr.Slider,{"minimum":0,"maximum":10,"step":1}),
"sd_vae":OptionInfo("Automatic","SD VAE",gr.Dropdown,lambda:{"choices":shared_items.sd_vae_items()},refresh=shared_items.refresh_vae_list).info("choose VAE model: Automatic = use one with same filename as checkpoint; None = use VAE from checkpoint"),
"sd_vae_overrides_per_model_preferences":OptionInfo(True,"Selected VAE overrides per-model preferences").info("you can set per-model VAE either by editing user metadata for checkpoints, or by making the VAE have same name as checkpoint"),
"auto_vae_precision":OptionInfo(True,"Automaticlly revert VAE to 32-bit floats").info("triggers when a tensor with NaNs is produced in VAE; disabling the option in this case will result in a black square image"),
"auto_vae_precision":OptionInfo(True,"Automatically revert VAE to 32-bit floats").info("triggers when a tensor with NaNs is produced in VAE; disabling the option in this case will result in a black square image"),
"sd_vae_encode_method":OptionInfo("Full","VAE type for encode",gr.Radio,{"choices":["Full","TAESD"]}).info("method to encode image to latent (use in img2img, hires-fix or inpaint mask)"),
"sd_vae_decode_method":OptionInfo("Full","VAE type for decode",gr.Radio,{"choices":["Full","TAESD"]}).info("method to decode latent to image"),