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Expand all accordions option

pull/3310/head
bmaltais 2025-06-24 20:37:32 -04:00
parent 3bb052746f
commit 172a727726
9 changed files with 80 additions and 94 deletions
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1
config example.toml
View File

@ -3,6 +3,7 @@
[settings]
use_shell = false # Use shell during process run of sd-scripts oython code. Most secure is false but some systems may require it to be true to properly run sd-scripts.
expand_all_accordions = true # Expand all accordions in the UI by default
# Default folders location
[model]

2
kohya_gui/class_advanced_training.py
View File

@ -142,7 +142,7 @@ class AdvancedTraining:
placeholder='(Optional) Use to provide additional parameters not handled by the GUI. Eg: --some_parameters "value"',
value=self.config.get("advanced.additional_parameters", ""),
)
with gr.Accordion("Scheduled Huber Loss", open=False):
with gr.Accordion("Scheduled Huber Loss", open=self.config.get("settings.expand_all_accordions", False)):
with gr.Row():
self.loss_type = gr.Dropdown(
label="Loss type",

2
kohya_gui/class_flux1.py
View File

@ -274,7 +274,7 @@ class flux1Training:
with gr.Accordion(
"Rank for layers",
open=False,
open=self.config.get("settings.expand_all_accordions", False),
visible=False if finetuning else True,
elem_classes=["flux1_rank_layers_background"],
):

2
kohya_gui/class_sd3.py
View File

@ -66,7 +66,7 @@ class sd3Training:
return (gr.Group(visible=False), gr.Group(visible=True))
with gr.Accordion(
"SD3", open=False, elem_id="sd3_tab", visible=False
"SD3", open=self.config.get("settings.expand_all_accordions", False), elem_id="sd3_tab", visible=False
) as sd3_accordion:
with gr.Group():
gr.Markdown("### SD3 Specific Parameters")

18
kohya_gui/dreambooth_gui.py
View File

@ -1175,22 +1175,22 @@ def dreambooth_tab(
gr.Markdown("Train a custom model using kohya dreambooth python code...")
# Setup Configuration Files Gradio
with gr.Accordion("Configuration", open=False):
with gr.Accordion("Configuration", open=config.get("settings.expand_all_accordions", False)):
configuration = ConfigurationFile(headless=headless, config=config)
with gr.Accordion("Accelerate launch", open=False), gr.Column():
with gr.Accordion("Accelerate launch", open=config.get("settings.expand_all_accordions", False)), gr.Column():
accelerate_launch = AccelerateLaunch(config=config)
with gr.Column():
source_model = SourceModel(headless=headless, config=config)
with gr.Accordion("Folders", open=False), gr.Group():
with gr.Accordion("Folders", open=config.get("settings.expand_all_accordions", False)), gr.Group():
folders = Folders(headless=headless, config=config)
with gr.Accordion("Metadata", open=False), gr.Group():
with gr.Accordion("Metadata", open=config.get("settings.expand_all_accordions", False)), gr.Group():
metadata = MetaData(config=config)
with gr.Accordion("Dataset Preparation", open=False):
with gr.Accordion("Dataset Preparation", open=config.get("settings.expand_all_accordions", False)):
gr.Markdown(
"This section provide Dreambooth tools to help setup your dataset..."
)
@ -1205,7 +1205,7 @@ def dreambooth_tab(
gradio_dataset_balancing_tab(headless=headless)
with gr.Accordion("Parameters", open=False), gr.Column():
with gr.Accordion("Parameters", open=config.get("settings.expand_all_accordions", False)), gr.Column():
with gr.Accordion("Basic", open="True"):
with gr.Group(elem_id="basic_tab"):
basic_training = BasicTraining(
@ -1237,7 +1237,7 @@ def dreambooth_tab(
headless=headless, config=config, sd3_checkbox=source_model.sd3_checkbox
)
with gr.Accordion("Advanced", open=False, elem_id="advanced_tab"):
with gr.Accordion("Advanced", open=config.get("settings.expand_all_accordions", False), elem_id="advanced_tab"):
advanced_training = AdvancedTraining(headless=headless, config=config)
advanced_training.color_aug.change(
color_aug_changed,
@ -1245,11 +1245,11 @@ def dreambooth_tab(
outputs=[basic_training.cache_latents],
)
with gr.Accordion("Samples", open=False, elem_id="samples_tab"):
with gr.Accordion("Samples", open=config.get("settings.expand_all_accordions", False), elem_id="samples_tab"):
sample = SampleImages(config=config)
global huggingface
with gr.Accordion("HuggingFace", open=False):
with gr.Accordion("HuggingFace", open=config.get("settings.expand_all_accordions", False)):
huggingface = HuggingFace(config=config)
global executor

20
kohya_gui/finetune_gui.py
View File

@ -1214,10 +1214,10 @@ def finetune_tab(
gr.Markdown("Train a custom model using kohya finetune python code...")
# Setup Configuration Files Gradio
with gr.Accordion("Configuration", open=False):
with gr.Accordion("Configuration", open=config.get("settings.expand_all_accordions", False)):
configuration = ConfigurationFile(headless=headless, config=config)
with gr.Accordion("Accelerate launch", open=False), gr.Column():
with gr.Accordion("Accelerate launch", open=config.get("settings.expand_all_accordions", False)), gr.Column():
accelerate_launch = AccelerateLaunch(config=config)
with gr.Column():
@ -1227,16 +1227,16 @@ def finetune_tab(
image_folder = source_model.train_data_dir
output_name = source_model.output_name
with gr.Accordion("Folders", open=False), gr.Group():
with gr.Accordion("Folders", open=config.get("settings.expand_all_accordions", False)), gr.Group():
folders = Folders(headless=headless, finetune=True, config=config)
output_dir = folders.output_dir
logging_dir = folders.logging_dir
train_dir = folders.reg_data_dir
with gr.Accordion("Metadata", open=False), gr.Group():
with gr.Accordion("Metadata", open=config.get("settings.expand_all_accordions", False)), gr.Group():
metadata = MetaData(config=config)
with gr.Accordion("Dataset Preparation", open=False):
with gr.Accordion("Dataset Preparation", open=config.get("settings.expand_all_accordions", False)):
with gr.Row():
max_resolution = gr.Textbox(
label="Resolution (width,height)", value="512,512"
@ -1261,7 +1261,7 @@ def finetune_tab(
],
value="Yes",
)
with gr.Accordion("Advanced parameters", open=False):
with gr.Accordion("Advanced parameters", open=config.get("settings.expand_all_accordions", False)):
with gr.Row():
caption_metadata_filename = gr.Textbox(
label="Caption metadata filename",
@ -1276,7 +1276,7 @@ def finetune_tab(
label="Weighted captions", value=False
)
with gr.Accordion("Parameters", open=False), gr.Column():
with gr.Accordion("Parameters", open=config.get("settings.expand_all_accordions", False)), gr.Column():
def list_presets(path):
json_files = []
@ -1336,7 +1336,7 @@ def finetune_tab(
headless=headless, config=config, sd3_checkbox=source_model.sd3_checkbox
)
with gr.Accordion("Advanced", open=False, elem_id="advanced_tab"):
with gr.Accordion("Advanced", open=config.get("settings.expand_all_accordions", False), elem_id="advanced_tab"):
with gr.Row():
gradient_accumulation_steps = gr.Slider(
label="Gradient accumulate steps",
@ -1362,11 +1362,11 @@ def finetune_tab(
], # Not applicable to fine_tune.py
)
with gr.Accordion("Samples", open=False, elem_id="samples_tab"):
with gr.Accordion("Samples", open=config.get("settings.expand_all_accordions", False), elem_id="samples_tab"):
sample = SampleImages(config=config)
global huggingface
with gr.Accordion("HuggingFace", open=False):
with gr.Accordion("HuggingFace", open=config.get("settings.expand_all_accordions", False)):
huggingface = HuggingFace(config=config)
global executor

20
kohya_gui/lora_gui.py
View File

@ -1853,10 +1853,10 @@ def lora_tab(
)
# Setup Configuration Files Gradio
with gr.Accordion("Configuration", open=False):
with gr.Accordion("Configuration", open=config.get("settings.expand_all_accordions", False)):
configuration = ConfigurationFile(headless=headless, config=config)
with gr.Accordion("Accelerate launch", open=False), gr.Column():
with gr.Accordion("Accelerate launch", open=config.get("settings.expand_all_accordions", False)), gr.Column():
accelerate_launch = AccelerateLaunch(config=config)
with gr.Column():
@ -1869,13 +1869,13 @@ def lora_tab(
config=config,
)
with gr.Accordion("Folders", open=True), gr.Group():
with gr.Accordion("Folders", open=config.get("settings.expand_all_accordions", True)), gr.Group():
folders = Folders(headless=headless, config=config)
with gr.Accordion("Metadata", open=False), gr.Group():
with gr.Accordion("Metadata", open=config.get("settings.expand_all_accordions", False)), gr.Group():
metadata = MetaData(config=config)
with gr.Accordion("Dataset Preparation", open=False):
with gr.Accordion("Dataset Preparation", open=config.get("settings.expand_all_accordions", False)):
gr.Markdown(
"This section provide Dreambooth tools to help setup your dataset..."
)
@ -1890,7 +1890,7 @@ def lora_tab(
gradio_dataset_balancing_tab(headless=headless)
with gr.Accordion("Parameters", open=False), gr.Column():
with gr.Accordion("Parameters", open=config.get("settings.expand_all_accordions", False)), gr.Column():
def list_presets(path):
json_files = []
@ -2680,9 +2680,9 @@ def lora_tab(
)
with gr.Accordion(
"Advanced", open=False, elem_classes="advanced_background"
"Advanced", open=config.get("settings.expand_all_accordions", False), elem_classes="advanced_background"
):
# with gr.Accordion('Advanced Configuration', open=False):
# with gr.Accordion('Advanced Configuration', open=config.get("settings.expand_all_accordions", False)):
with gr.Row(visible=True) as kohya_advanced_lora:
with gr.Tab(label="Weights"):
with gr.Row(visible=True):
@ -2739,12 +2739,12 @@ def lora_tab(
outputs=[basic_training.cache_latents],
)
with gr.Accordion("Samples", open=False, elem_classes="samples_background"):
with gr.Accordion("Samples", open=config.get("settings.expand_all_accordions", False), elem_classes="samples_background"):
sample = SampleImages(config=config)
global huggingface
with gr.Accordion(
"HuggingFace", open=False, elem_classes="huggingface_background"
"HuggingFace", open=config.get("settings.expand_all_accordions", False), elem_classes="huggingface_background"
):
huggingface = HuggingFace(config=config)

18
kohya_gui/textual_inversion_gui.py
View File

@ -976,10 +976,10 @@ def ti_tab(
gr.Markdown("Train a TI using kohya textual inversion python code...")
# Setup Configuration Files Gradio
with gr.Accordion("Configuration", open=False):
with gr.Accordion("Configuration", open=config.get("settings.expand_all_accordions", False)):
configuration = ConfigurationFile(headless=headless, config=config)
with gr.Accordion("Accelerate launch", open=False), gr.Column():
with gr.Accordion("Accelerate launch", open=config.get("settings.expand_all_accordions", False)), gr.Column():
accelerate_launch = AccelerateLaunch(config=config)
with gr.Column():
@ -992,13 +992,13 @@ def ti_tab(
config=config,
)
with gr.Accordion("Folders", open=False), gr.Group():
with gr.Accordion("Folders", open=config.get("settings.expand_all_accordions", False)), gr.Group():
folders = Folders(headless=headless, config=config)
with gr.Accordion("Metadata", open=False), gr.Group():
with gr.Accordion("Metadata", open=config.get("settings.expand_all_accordions", False)), gr.Group():
metadata = MetaData(config=config)
with gr.Accordion("Dataset Preparation", open=False):
with gr.Accordion("Dataset Preparation", open=config.get("settings.expand_all_accordions", False)):
gr.Markdown(
"This section provide Dreambooth tools to help setup your dataset..."
)
@ -1013,7 +1013,7 @@ def ti_tab(
gradio_dataset_balancing_tab(headless=headless)
with gr.Accordion("Parameters", open=False), gr.Column():
with gr.Accordion("Parameters", open=config.get("settings.expand_all_accordions", False)), gr.Column():
with gr.Accordion("Basic", open="True"):
with gr.Group(elem_id="basic_tab"):
with gr.Row():
@ -1108,7 +1108,7 @@ def ti_tab(
config=config,
)
with gr.Accordion("Advanced", open=False, elem_id="advanced_tab"):
with gr.Accordion("Advanced", open=config.get("settings.expand_all_accordions", False), elem_id="advanced_tab"):
advanced_training = AdvancedTraining(headless=headless, config=config)
advanced_training.color_aug.change(
color_aug_changed,
@ -1116,11 +1116,11 @@ def ti_tab(
outputs=[basic_training.cache_latents],
)
with gr.Accordion("Samples", open=False, elem_id="samples_tab"):
with gr.Accordion("Samples", open=config.get("settings.expand_all_accordions", False), elem_id="samples_tab"):
sample = SampleImages(config=config)
global huggingface
with gr.Accordion("HuggingFace", open=False):
with gr.Accordion("HuggingFace", open=config.get("settings.expand_all_accordions", False)):
huggingface = HuggingFace(config=config)
global executor

91
uv.lock
View File

@ -338,15 +338,6 @@ wheels = [
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]
[[package]]
name = "easygui"
version = "0.98.3"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/cc/ad/e35f7a30272d322be09dc98592d2f55d27cc933a7fde8baccbbeb2bd9409/easygui-0.98.3.tar.gz", hash = "sha256:d653ff79ee1f42f63b5a090f2f98ce02335d86ad8963b3ce2661805cafe99a04", size = 85583, upload-time = "2022-04-01T13:15:50.752Z" }
wheels = [
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]
[[package]]
name = "einops"
version = "0.7.0"
@ -839,7 +830,6 @@ dependencies = [
{ name = "bitsandbytes" },
{ name = "dadaptation" },
{ name = "diffusers", extra = ["torch"] },
{ name = "easygui" },
{ name = "einops" },
{ name = "fairscale" },
{ name = "ftfy" },
@ -894,7 +884,6 @@ requires-dist = [
{ name = "bitsandbytes", specifier = ">=0.45.0" },
{ name = "dadaptation", specifier = "==3.2" },
{ name = "diffusers", extras = ["torch"], specifier = "==0.32.2" },
{ name = "easygui", specifier = "==0.98.3" },
{ name = "einops", specifier = "==0.7.0" },
{ name = "fairscale", specifier = "==0.4.13" },
{ name = "ftfy", specifier = "==6.1.1" },
@ -1093,50 +1082,46 @@ wheels = [
[[package]]
name = "multidict"
version = "6.5.0"
version = "6.5.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
]
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