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author | AUTOMATIC <16777216c@gmail.com> | 2023-05-16 12:41:49 +0000 |
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committer | AUTOMATIC <16777216c@gmail.com> | 2023-05-16 12:41:49 +0000 |
commit | ce38ee8f26d0b84888c72b58cdd9682ac3fd6151 (patch) | |
tree | 3c30da01cbe48f6e7a89f16f2e2890b476ca7778 /modules/shared.py | |
parent | 6302978ff8e51ad0917c62806ca127b514088a70 (diff) | |
download | stable-diffusion-webui-gfx803-ce38ee8f26d0b84888c72b58cdd9682ac3fd6151.tar.gz stable-diffusion-webui-gfx803-ce38ee8f26d0b84888c72b58cdd9682ac3fd6151.tar.bz2 stable-diffusion-webui-gfx803-ce38ee8f26d0b84888c72b58cdd9682ac3fd6151.zip |
add info link for Negative Guidance minimum sigma
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 07f18b1b..3abf71c0 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -458,8 +458,8 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters" "eta_ddim": OptionInfo(0.0, "Eta for DDIM", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}).info("noise multiplier; higher = more unperdictable results"),
"eta_ancestral": OptionInfo(1.0, "Eta for ancestral samplers", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}).info("noise multiplier; applies to Euler a and other samplers that have a in them"),
"ddim_discretize": OptionInfo('uniform', "img2img DDIM discretize", gr.Radio, {"choices": ['uniform', 'quad']}),
+ 's_min_uncond': OptionInfo(0, "Negative Guidance minimum sigma", gr.Slider, {"minimum": 0.0, "maximum": 4.0, "step": 0.01}).link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9177").info("skip negative prompt for some steps when the image is almost ready; 0=disable, higher=faster"),
's_churn': OptionInfo(0.0, "sigma churn", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
- 's_min_uncond': OptionInfo(0, "Negative Guidance minimum sigma", gr.Slider, {"minimum": 0.0, "maximum": 4.0, "step": 0.01}),
'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}).info("ENSD; does not improve anything, just produces different results for ancestral samplers - only useful for reproducing images"),
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