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| author | random_thoughtss <random_thoughtss@proton.me> | 2022-10-27 18:31:31 +0000 |
|---|---|---|
| committer | random_thoughtss <random_thoughtss@proton.me> | 2022-10-27 18:31:31 +0000 |
| commit | a38496c1deef12f56f74f8abce2034bef8bdaccb (patch) | |
| tree | b5a180a1dd085e7ae5275eaf248a86c61577b793 /modules | |
| parent | 26a3fd2fe9314330336fb0e28d1e9ca7d2abe10e (diff) | |
| download | stable-diffusion-webui-gfx803-a38496c1deef12f56f74f8abce2034bef8bdaccb.tar.gz stable-diffusion-webui-gfx803-a38496c1deef12f56f74f8abce2034bef8bdaccb.tar.bz2 stable-diffusion-webui-gfx803-a38496c1deef12f56f74f8abce2034bef8bdaccb.zip | |
Moved mask weight config to SD section
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 d47378e8..9c2fa0d4 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -267,6 +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}),
"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)."),
@@ -320,7 +321,6 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters" 's_tmin': OptionInfo(0.0, "sigma tmin", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
's_noise': OptionInfo(1.0, "sigma noise", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
- "inpainting_mask_weight": OptionInfo(1.0, "Blend betweeen an unmasked and masked conditioning image for inpainting models.", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
}))
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