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author | random_thoughtss <random_thoughtss@proton.me> | 2022-10-27 18:45:35 +0000 |
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committer | random_thoughtss <random_thoughtss@proton.me> | 2022-10-27 18:45:35 +0000 |
commit | b68c7c437eda2840a304539dd2acd0b0894e920c (patch) | |
tree | c35930f6063bd6b57bdf3f698b66fa0de5361ae6 /modules | |
parent | a38496c1deef12f56f74f8abce2034bef8bdaccb (diff) | |
download | stable-diffusion-webui-gfx803-b68c7c437eda2840a304539dd2acd0b0894e920c.tar.gz stable-diffusion-webui-gfx803-b68c7c437eda2840a304539dd2acd0b0894e920c.tar.bz2 stable-diffusion-webui-gfx803-b68c7c437eda2840a304539dd2acd0b0894e920c.zip |
Updated name and hover text.
Diffstat (limited to 'modules')
-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 9c2fa0d4..7c428d90 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -267,7 +267,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), { "sd_checkpoint_cache": OptionInfo(0, "Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
"sd_hypernetwork": OptionInfo("None", "Hypernetwork", gr.Dropdown, lambda: {"choices": ["None"] + [x for x in hypernetworks.keys()]}, refresh=reload_hypernetworks),
"sd_hypernetwork_strength": OptionInfo(1.0, "Hypernetwork strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.001}),
- "inpainting_mask_weight": OptionInfo(1.0, "Strength of img2img conditioning mask for inpainting models.", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
+ "inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
"img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."),
"save_images_before_color_correction": OptionInfo(False, "Save a copy of image before applying color correction to img2img results"),
"img2img_fix_steps": OptionInfo(False, "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising)."),
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