diff options
author | AUTOMATIC <16777216c@gmail.com> | 2022-10-13 20:12:37 +0300 |
---|---|---|
committer | AUTOMATIC <16777216c@gmail.com> | 2022-10-13 20:12:37 +0300 |
commit | 354ef0da3b1f0fa5c113d04b6c79e3908c848d23 (patch) | |
tree | f3ee31caf694d83940b22d4aa1e8a5470b88079b /modules/shared.py | |
parent | a10b0e11fc22cc67b6a3664f2ddd17425d8433a8 (diff) |
add hypernetwork multipliers
Diffstat (limited to 'modules/shared.py')
-rw-r--r-- | modules/shared.py | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/modules/shared.py b/modules/shared.py index d8e3a286..5901e605 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -238,7 +238,8 @@ options_templates.update(options_section(('training', "Training"), { options_templates.update(options_section(('sd', "Stable Diffusion"), {
"sd_model_checkpoint": OptionInfo(None, "Stable Diffusion checkpoint", gr.Dropdown, lambda: {"choices": modules.sd_models.checkpoint_tiles()}, refresh=sd_models.list_models),
- "sd_hypernetwork": OptionInfo("None", "Stable Diffusion finetune hypernetwork", gr.Dropdown, lambda: {"choices": ["None"] + [x for x in hypernetworks.keys()]}, refresh=reload_hypernetworks),
+ "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}),
"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)."),
@@ -348,6 +349,8 @@ class Options: item = self.data_labels.get(key)
item.onchange = func
+ func()
+
def dumpjson(self):
d = {k: self.data.get(k, self.data_labels.get(k).default) for k in self.data_labels.keys()}
return json.dumps(d)
|