diff options
Diffstat (limited to 'modules/ui.py')
| -rw-r--r-- | modules/ui.py | 28 |
1 files changed, 9 insertions, 19 deletions
diff --git a/modules/ui.py b/modules/ui.py index 2609857e..633b56ef 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -1052,6 +1052,8 @@ def create_ui(wrap_gradio_gpu_call): extras_batch_output_dir = gr.Textbox(label="Output directory", **shared.hide_dirs, placeholder="Leave blank to save images to the default path.")
show_extras_results = gr.Checkbox(label='Show result images', value=True)
+ submit = gr.Button('Generate', elem_id="extras_generate", variant='primary')
+
with gr.Tabs(elem_id="extras_resize_mode"):
with gr.TabItem('Scale by'):
upscaling_resize = gr.Slider(minimum=1.0, maximum=8.0, step=0.05, label="Resize", value=4)
@@ -1079,8 +1081,6 @@ def create_ui(wrap_gradio_gpu_call): with gr.Group():
upscale_before_face_fix = gr.Checkbox(label='Upscale Before Restoring Faces', value=False)
- submit = gr.Button('Generate', elem_id="extras_generate", variant='primary')
-
result_images, html_info_x, html_info = create_output_panel("extras", opts.outdir_extras_samples)
submit.click(
@@ -1182,8 +1182,8 @@ def create_ui(wrap_gradio_gpu_call): new_hypernetwork_name = gr.Textbox(label="Name")
new_hypernetwork_sizes = gr.CheckboxGroup(label="Modules", value=["768", "320", "640", "1280"], choices=["768", "320", "640", "1280"])
new_hypernetwork_layer_structure = gr.Textbox("1, 2, 1", label="Enter hypernetwork layer structure", placeholder="1st and last digit must be 1. ex:'1, 2, 1'")
- new_hypernetwork_activation_func = gr.Dropdown(value="linear", label="Select activation function of hypernetwork", choices=modules.hypernetworks.ui.keys)
- new_hypernetwork_initialization_option = gr.Dropdown(value = "Normal", label="Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended", choices=["Normal", "KaimingUniform", "KaimingNormal", "XavierUniform", "XavierNormal"])
+ new_hypernetwork_activation_func = gr.Dropdown(value="linear", label="Select activation function of hypernetwork. Recommended : Swish / Linear(none)", choices=modules.hypernetworks.ui.keys)
+ new_hypernetwork_initialization_option = gr.Dropdown(value = "Normal", label="Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise", choices=["Normal", "KaimingUniform", "KaimingNormal", "XavierUniform", "XavierNormal"])
new_hypernetwork_add_layer_norm = gr.Checkbox(label="Add layer normalization")
new_hypernetwork_use_dropout = gr.Checkbox(label="Use dropout")
overwrite_old_hypernetwork = gr.Checkbox(value=False, label="Overwrite Old Hypernetwork")
@@ -1438,8 +1438,6 @@ def create_ui(wrap_gradio_gpu_call): def run_settings(*args):
changed = 0
- assert not shared.cmd_opts.freeze_settings, "changing settings is disabled"
-
for key, value, comp in zip(opts.data_labels.keys(), args, components):
if comp != dummy_component and not opts.same_type(value, opts.data_labels[key].default):
return f"Bad value for setting {key}: {value}; expecting {type(opts.data_labels[key].default).__name__}", opts.dumpjson()
@@ -1448,15 +1446,9 @@ def create_ui(wrap_gradio_gpu_call): if comp == dummy_component:
continue
- comp_args = opts.data_labels[key].component_args
- if comp_args and isinstance(comp_args, dict) and comp_args.get('visible') is False:
- continue
-
- if cmd_opts.hide_ui_dir_config and key in restricted_opts:
- continue
-
oldval = opts.data.get(key, None)
- opts.data[key] = value
+
+ setattr(opts, key, value)
if oldval != value:
if opts.data_labels[key].onchange is not None:
@@ -1469,17 +1461,15 @@ def create_ui(wrap_gradio_gpu_call): return f'{changed} settings changed.', opts.dumpjson()
def run_settings_single(value, key):
- assert not shared.cmd_opts.freeze_settings, "changing settings is disabled"
-
if not opts.same_type(value, opts.data_labels[key].default):
return gr.update(visible=True), opts.dumpjson()
oldval = opts.data.get(key, None)
- if cmd_opts.hide_ui_dir_config and key in restricted_opts:
+ try:
+ setattr(opts, key, value)
+ except Exception:
return gr.update(value=oldval), opts.dumpjson()
- opts.data[key] = value
-
if oldval != value:
if opts.data_labels[key].onchange is not None:
opts.data_labels[key].onchange()
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