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| author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-08-08 20:30:57 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-08-08 20:30:57 +0000 |
| commit | a2360de3f343ab4deec180e0266aca69fae3a78c (patch) | |
| tree | 3028993e57bec20faa23800890e66bd140b451b2 | |
| parent | 0e83c675257f473e024511845e7940802333fd5f (diff) | |
| parent | 2a72d76d6f3d34b1ffccec7736b19e7d52033dad (diff) | |
| download | stable-diffusion-webui-gfx803-a2360de3f343ab4deec180e0266aca69fae3a78c.tar.gz stable-diffusion-webui-gfx803-a2360de3f343ab4deec180e0266aca69fae3a78c.tar.bz2 stable-diffusion-webui-gfx803-a2360de3f343ab4deec180e0266aca69fae3a78c.zip | |
Merge pull request #12412 from dhwz/dev
fix typo
| -rw-r--r-- | modules/processing.py | 2 | ||||
| -rw-r--r-- | modules/shared.py | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/modules/processing.py b/modules/processing.py index 61ba5f11..d7266307 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -568,7 +568,7 @@ def decode_latent_batch(model, batch, target_device=None, check_for_nans=False): errors.print_error_explanation(
"A tensor with all NaNs was produced in VAE.\n"
"Web UI will now convert VAE into 32-bit float and retry.\n"
- "To disable this behavior, disable the 'Automaticlly revert VAE to 32-bit floats' setting.\n"
+ "To disable this behavior, disable the 'Automatically revert VAE to 32-bit floats' setting.\n"
"To always start with 32-bit VAE, use --no-half-vae commandline flag."
)
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"),
}))
|