mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2025-08-04 11:12:35 +00:00
Make selected tab configurable with UI config
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@@ -94,6 +94,9 @@ def send_gradio_gallery_to_image(x):
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def visit(x, func, path=""):
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if hasattr(x, 'children'):
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if isinstance(x, gr.Tabs) and x.elem_id is not None:
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# Tabs element can't have a label, have to use elem_id instead
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func(f"{path}/Tabs@{x.elem_id}", x)
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for c in x.children:
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visit(c, func, path)
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elif x.label is not None:
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@@ -1048,7 +1051,7 @@ def create_ui():
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with gr.Row(variant="compact").style(equal_height=False):
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with gr.Tabs(elem_id="train_tabs"):
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with gr.Tab(label="Create embedding"):
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with gr.Tab(label="Create embedding", id="create_embedding"):
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new_embedding_name = gr.Textbox(label="Name", elem_id="train_new_embedding_name")
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initialization_text = gr.Textbox(label="Initialization text", value="*", elem_id="train_initialization_text")
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nvpt = gr.Slider(label="Number of vectors per token", minimum=1, maximum=75, step=1, value=1, elem_id="train_nvpt")
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@@ -1061,7 +1064,7 @@ def create_ui():
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with gr.Column():
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create_embedding = gr.Button(value="Create embedding", variant='primary', elem_id="train_create_embedding")
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with gr.Tab(label="Create hypernetwork"):
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with gr.Tab(label="Create hypernetwork", id="create_hypernetwork"):
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new_hypernetwork_name = gr.Textbox(label="Name", elem_id="train_new_hypernetwork_name")
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new_hypernetwork_sizes = gr.CheckboxGroup(label="Modules", value=["768", "320", "640", "1280"], choices=["768", "1024", "320", "640", "1280"], elem_id="train_new_hypernetwork_sizes")
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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'", elem_id="train_new_hypernetwork_layer_structure")
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@@ -1079,7 +1082,7 @@ def create_ui():
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with gr.Column():
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create_hypernetwork = gr.Button(value="Create hypernetwork", variant='primary', elem_id="train_create_hypernetwork")
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with gr.Tab(label="Preprocess images"):
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with gr.Tab(label="Preprocess images", id="preprocess_images"):
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process_src = gr.Textbox(label='Source directory', elem_id="train_process_src")
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process_dst = gr.Textbox(label='Destination directory', elem_id="train_process_dst")
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process_width = gr.Slider(minimum=64, maximum=2048, step=8, label="Width", value=512, elem_id="train_process_width")
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@@ -1146,7 +1149,7 @@ def create_ui():
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def get_textual_inversion_template_names():
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return sorted([x for x in textual_inversion.textual_inversion_templates])
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with gr.Tab(label="Train"):
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with gr.Tab(label="Train", id="train"):
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gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images <a href=\"https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion\" style=\"font-weight:bold;\">[wiki]</a></p>")
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with FormRow():
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train_embedding_name = gr.Dropdown(label='Embedding', elem_id="train_embedding", choices=sorted(sd_hijack.model_hijack.embedding_db.word_embeddings.keys()))
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@@ -1479,7 +1482,7 @@ def create_ui():
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current_row.__exit__()
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current_tab.__exit__()
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with gr.TabItem("Actions"):
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with gr.TabItem("Actions", id="actions"):
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request_notifications = gr.Button(value='Request browser notifications', elem_id="request_notifications")
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download_localization = gr.Button(value='Download localization template', elem_id="download_localization")
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reload_script_bodies = gr.Button(value='Reload custom script bodies (No ui updates, No restart)', variant='secondary', elem_id="settings_reload_script_bodies")
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@@ -1487,7 +1490,7 @@ def create_ui():
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unload_sd_model = gr.Button(value='Unload SD checkpoint to free VRAM', elem_id="sett_unload_sd_model")
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reload_sd_model = gr.Button(value='Reload the last SD checkpoint back into VRAM', elem_id="sett_reload_sd_model")
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with gr.TabItem("Licenses"):
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with gr.TabItem("Licenses", id="licenses"):
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gr.HTML(shared.html("licenses.html"), elem_id="licenses")
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gr.Button(value="Show all pages", elem_id="settings_show_all_pages")
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@@ -1735,12 +1738,27 @@ def create_ui():
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apply_field(x, 'value', check_dropdown, getattr(x, 'init_field', None))
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def check_tab_id(tab_id):
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tab_items = list(filter(lambda e: isinstance(e, gr.TabItem), x.children))
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if type(tab_id) == str:
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tab_ids = [t.id for t in tab_items]
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return tab_id in tab_ids
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elif type(tab_id) == int:
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return tab_id >= 0 and tab_id < len(tab_items)
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else:
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return False
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if type(x) == gr.Tabs:
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apply_field(x, 'selected', check_tab_id)
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visit(txt2img_interface, loadsave, "txt2img")
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visit(img2img_interface, loadsave, "img2img")
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visit(extras_interface, loadsave, "extras")
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visit(modelmerger_interface, loadsave, "modelmerger")
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visit(train_interface, loadsave, "train")
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loadsave(f"webui/Tabs@{tabs.elem_id}", tabs)
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if not error_loading and (not os.path.exists(ui_config_file) or settings_count != len(ui_settings)):
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with open(ui_config_file, "w", encoding="utf8") as file:
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json.dump(ui_settings, file, indent=4)
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