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| author | dhwz <dhwz@gmx.net> | 2023-08-08 19:08:37 +0200 |
|---|---|---|
| committer | dhwz <dhwz@gmx.net> | 2023-08-08 19:08:37 +0200 |
| commit | 2a72d76d6f3d34b1ffccec7736b19e7d52033dad (patch) | |
| tree | fdb93d8b9d0087565c0afc68080f0662782a400d /modules/shared.py | |
| parent | 902f8cf292582301856ff018a3af34ea546a5393 (diff) | |
fix typo
Diffstat (limited to 'modules/shared.py')
| -rw-r--r-- | modules/shared.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/modules/shared.py b/modules/shared.py index 97f1eab5..e34847ce 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -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"),
}))
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