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authorAUTOMATIC1111 <16777216c@gmail.com>2023-08-06 05:56:05 +0300
committerGitHub <noreply@github.com>2023-08-06 05:56:05 +0300
commit9cbde6c9fdd8732a403c75bfd20a24c9f8a94452 (patch)
treef3ce567ba90b4cab69c092970bc42d9cad250d7b
parentf4e4992a4a2d5a8446ffa702eb07eadf014d7d24 (diff)
parentdfc01c68cd204fd091b3cf5b855d5c0f77a6526a (diff)
Merge pull request #12356 from catboxanon/fix/s-churn-max
Increase `s_churn` max value
-rw-r--r--modules/shared.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/modules/shared.py b/modules/shared.py
index b1c0c0e9..e3d3e447 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -606,7 +606,7 @@ 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_churn': OptionInfo(0.0, "sigma churn", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
+ 's_churn': OptionInfo(0.0, "sigma churn", gr.Slider, {"minimum": 0.0, "maximum": 100.0, "step": 0.01}),
's_tmin': OptionInfo(0.0, "sigma tmin", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
's_tmax': OptionInfo(0.0, "sigma tmax", gr.Slider, {"minimum": 0.0, "maximum": 999.0, "step": 0.01}).info("0 = inf"),
's_noise': OptionInfo(1.0, "sigma noise", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),