diff --git a/modules/async_worker.py b/modules/async_worker.py
index b2939d2be..f9e277dbf 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -9,7 +9,7 @@
class AsyncTask:
def __init__(self, args):
- from modules.flags import Performance, MetadataScheme, ip_list, controlnet_image_count, disabled
+ from modules.flags import Performance, MetadataScheme, ip_list, disabled
from modules.util import get_enabled_loras
from modules.config import default_max_lora_number
import args_manager
@@ -101,7 +101,7 @@ def __init__(self, args):
args.pop()) if not args_manager.args.disable_metadata else MetadataScheme.FOOOCUS
self.cn_tasks = {x: [] for x in ip_list}
- for _ in range(controlnet_image_count):
+ for _ in range(modules.config.default_controlnet_image_count):
cn_img = args.pop()
cn_stop = args.pop()
cn_weight = args.pop()
diff --git a/modules/config.py b/modules/config.py
index 5af9c58ad..7062c0056 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -403,12 +403,36 @@ def init_temp_path(path: str | None, default_path: str) -> str:
validator=lambda x: x in Performance.values(),
expected_type=str
)
+default_image_prompt_checkbox = get_config_item_or_set_default(
+ key='default_image_prompt_checkbox',
+ default_value=False,
+ validator=lambda x: isinstance(x, bool),
+ expected_type=bool
+)
+default_enhance_checkbox = get_config_item_or_set_default(
+ key='default_enhance_checkbox',
+ default_value=False,
+ validator=lambda x: isinstance(x, bool),
+ expected_type=bool
+)
default_advanced_checkbox = get_config_item_or_set_default(
key='default_advanced_checkbox',
default_value=False,
validator=lambda x: isinstance(x, bool),
expected_type=bool
)
+default_developer_debug_mode_checkbox = get_config_item_or_set_default(
+ key='default_developer_debug_mode_checkbox',
+ default_value=False,
+ validator=lambda x: isinstance(x, bool),
+ expected_type=bool
+)
+default_image_prompt_advanced_checkbox = get_config_item_or_set_default(
+ key='default_image_prompt_advanced_checkbox',
+ default_value=False,
+ validator=lambda x: isinstance(x, bool),
+ expected_type=bool
+)
default_max_image_number = get_config_item_or_set_default(
key='default_max_image_number',
default_value=32,
@@ -469,6 +493,64 @@ def init_temp_path(path: str | None, default_path: str) -> str:
validator=lambda x: x in modules.flags.inpaint_engine_versions,
expected_type=str
)
+default_selected_image_input_tab_id = get_config_item_or_set_default(
+ key='default_selected_image_input_tab_id',
+ default_value=modules.flags.default_input_image_tab,
+ validator=lambda x: x in modules.flags.input_image_tab_ids,
+ expected_type=str
+)
+default_uov_method = get_config_item_or_set_default(
+ key='default_uov_method',
+ default_value=modules.flags.disabled,
+ validator=lambda x: x in modules.flags.uov_list,
+ expected_type=str
+)
+default_controlnet_image_count = get_config_item_or_set_default(
+ key='default_controlnet_image_count',
+ default_value=4,
+ validator=lambda x: isinstance(x, int) and x > 0,
+ expected_type=int
+)
+default_ip_images = {}
+default_ip_stop_ats = {}
+default_ip_weights = {}
+default_ip_types = {}
+
+for image_count in range(default_controlnet_image_count):
+ default_ip_images[image_count] = get_config_item_or_set_default(
+ key=f'default_ip_image_{image_count}',
+ default_value=None,
+ validator=lambda x: x is None or isinstance(x, str) and os.path.exists(x),
+ expected_type=str
+ )
+ default_ip_types[image_count] = get_config_item_or_set_default(
+ key=f'default_ip_type_{image_count}',
+ default_value=modules.flags.default_ip,
+ validator=lambda x: x in modules.flags.ip_list,
+ expected_type=str
+ )
+
+ default_end, default_weight = modules.flags.default_parameters[default_ip_types[image_count]]
+
+ default_ip_stop_ats[image_count] = get_config_item_or_set_default(
+ key=f'default_ip_stop_at_{image_count}',
+ default_value=default_end,
+ validator=lambda x: isinstance(x, float) and 0 <= x <= 1,
+ expected_type=float
+ )
+ default_ip_weights[image_count] = get_config_item_or_set_default(
+ key=f'default_ip_weight_{image_count}',
+ default_value=default_weight,
+ validator=lambda x: isinstance(x, float) and 0 <= x <= 2,
+ expected_type=float
+ )
+
+default_inpaint_advanced_masking_checkbox = get_config_item_or_set_default(
+ key='default_inpaint_advanced_masking_checkbox',
+ default_value=False,
+ validator=lambda x: isinstance(x, bool),
+ expected_type=bool
+)
default_inpaint_method = get_config_item_or_set_default(
key='default_inpaint_method',
default_value=modules.flags.inpaint_option_default,
@@ -526,12 +608,6 @@ def init_temp_path(path: str | None, default_path: str) -> str:
validator=lambda x: isinstance(x, int) and 1 <= x <= 5,
expected_type=int
)
-default_enhance_checkbox = get_config_item_or_set_default(
- key='default_enhance_checkbox',
- default_value=False,
- validator=lambda x: isinstance(x, bool),
- expected_type=bool
-)
default_enhance_uov_method = get_config_item_or_set_default(
key='default_enhance_uov_method',
default_value=modules.flags.disabled,
@@ -590,6 +666,13 @@ def init_temp_path(path: str | None, default_path: str) -> str:
example_inpaint_prompts = [[x] for x in example_inpaint_prompts]
example_enhance_detection_prompts = [[x] for x in example_enhance_detection_prompts]
+default_invert_mask_checkbox = get_config_item_or_set_default(
+ key='default_invert_mask_checkbox',
+ default_value=False,
+ validator=lambda x: isinstance(x, bool),
+ expected_type=bool
+)
+
default_inpaint_mask_model = get_config_item_or_set_default(
key='default_inpaint_mask_model',
default_value='isnet-general-use',
diff --git a/modules/flags.py b/modules/flags.py
index 4b6cd7b59..4357cdf11 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -67,6 +67,9 @@
refiner_swap_method = 'joint'
+default_input_image_tab = 'uov_tab'
+input_image_tab_ids = ['uov_tab', 'ip_tab', 'inpaint_tab', 'describe_tab', 'enhance_tab', 'metadata_tab']
+
cn_ip = "ImagePrompt"
cn_ip_face = "FaceSwap"
cn_canny = "PyraCanny"
@@ -91,8 +94,8 @@
inpaint_option_modify = 'Modify Content (add objects, change background, etc.)'
inpaint_options = [inpaint_option_default, inpaint_option_detail, inpaint_option_modify]
-desc_type_photo = 'Photograph'
-desc_type_anime = 'Art/Anime'
+describe_type_photo = 'Photograph'
+describe_type_anime = 'Art/Anime'
sdxl_aspect_ratios = [
'704*1408', '704*1344', '768*1344', '768*1280', '832*1216', '832*1152',
@@ -113,8 +116,6 @@ class MetadataScheme(Enum):
(f'{MetadataScheme.A1111.value} (plain text)', MetadataScheme.A1111.value),
]
-controlnet_image_count = 4
-
class OutputFormat(Enum):
PNG = 'png'
diff --git a/webui.py b/webui.py
index 3413a5dd3..5a2100e5c 100644
--- a/webui.py
+++ b/webui.py
@@ -200,19 +200,19 @@ def skip_clicked(currentTask):
stop_button.click(stop_clicked, inputs=currentTask, outputs=currentTask, queue=False, show_progress=False, _js='cancelGenerateForever')
skip_button.click(skip_clicked, inputs=currentTask, outputs=currentTask, queue=False, show_progress=False)
with gr.Row(elem_classes='advanced_check_row'):
- input_image_checkbox = gr.Checkbox(label='Input Image', value=False, container=False, elem_classes='min_check')
+ input_image_checkbox = gr.Checkbox(label='Input Image', value=modules.config.default_image_prompt_checkbox, container=False, elem_classes='min_check')
enhance_checkbox = gr.Checkbox(label='Enhance', value=modules.config.default_enhance_checkbox, container=False, elem_classes='min_check')
advanced_checkbox = gr.Checkbox(label='Advanced', value=modules.config.default_advanced_checkbox, container=False, elem_classes='min_check')
- with gr.Row(visible=False) as image_input_panel:
- with gr.Tabs():
- with gr.TabItem(label='Upscale or Variation') as uov_tab:
+ with gr.Row(visible=modules.config.default_image_prompt_checkbox) as image_input_panel:
+ with gr.Tabs(selected=modules.config.default_selected_image_input_tab_id):
+ with gr.Tab(label='Upscale or Variation', id='uov_tab') as uov_tab:
with gr.Row():
with gr.Column():
uov_input_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False)
with gr.Column():
- uov_method = gr.Radio(label='Upscale or Variation:', choices=flags.uov_list, value=flags.disabled)
+ uov_method = gr.Radio(label='Upscale or Variation:', choices=flags.uov_list, value=modules.config.default_uov_method)
gr.HTML('\U0001F4D4 Documentation')
- with gr.TabItem(label='Image Prompt') as ip_tab:
+ with gr.Tab(label='Image Prompt', id='ip_tab') as ip_tab:
with gr.Row():
ip_images = []
ip_types = []
@@ -220,30 +220,28 @@ def skip_clicked(currentTask):
ip_weights = []
ip_ctrls = []
ip_ad_cols = []
- for _ in range(flags.controlnet_image_count):
+ for image_count in range(modules.config.default_controlnet_image_count):
with gr.Column():
- ip_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False, height=300)
+ ip_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False, height=300, value=modules.config.default_ip_images[image_count])
ip_images.append(ip_image)
ip_ctrls.append(ip_image)
- with gr.Column(visible=False) as ad_col:
+ with gr.Column(visible=modules.config.default_image_prompt_advanced_checkbox) as ad_col:
with gr.Row():
- default_end, default_weight = flags.default_parameters[flags.default_ip]
-
- ip_stop = gr.Slider(label='Stop At', minimum=0.0, maximum=1.0, step=0.001, value=default_end)
+ ip_stop = gr.Slider(label='Stop At', minimum=0.0, maximum=1.0, step=0.001, value=modules.config.default_ip_stop_ats[image_count])
ip_stops.append(ip_stop)
ip_ctrls.append(ip_stop)
- ip_weight = gr.Slider(label='Weight', minimum=0.0, maximum=2.0, step=0.001, value=default_weight)
+ ip_weight = gr.Slider(label='Weight', minimum=0.0, maximum=2.0, step=0.001, value=modules.config.default_ip_weights[image_count])
ip_weights.append(ip_weight)
ip_ctrls.append(ip_weight)
- ip_type = gr.Radio(label='Type', choices=flags.ip_list, value=flags.default_ip, container=False)
+ ip_type = gr.Radio(label='Type', choices=flags.ip_list, value=modules.config.default_ip_types[image_count], container=False)
ip_types.append(ip_type)
ip_ctrls.append(ip_type)
ip_type.change(lambda x: flags.default_parameters[x], inputs=[ip_type], outputs=[ip_stop, ip_weight], queue=False, show_progress=False)
ip_ad_cols.append(ad_col)
- ip_advanced = gr.Checkbox(label='Advanced', value=False, container=False)
+ ip_advanced = gr.Checkbox(label='Advanced', value=modules.config.default_image_prompt_advanced_checkbox, container=False)
gr.HTML('* \"Image Prompt\" is powered by Fooocus Image Mixture Engine (v1.0.1). \U0001F4D4 Documentation')
def ip_advance_checked(x):
@@ -256,11 +254,11 @@ def ip_advance_checked(x):
outputs=ip_ad_cols + ip_types + ip_stops + ip_weights,
queue=False, show_progress=False)
- with gr.TabItem(label='Inpaint or Outpaint') as inpaint_tab:
+ with gr.Tab(label='Inpaint or Outpaint', id='inpaint_tab') as inpaint_tab:
with gr.Row():
with gr.Column():
inpaint_input_image = grh.Image(label='Image', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF", elem_id='inpaint_canvas', show_label=False)
- inpaint_advanced_masking_checkbox = gr.Checkbox(label='Enable Advanced Masking Features', value=False)
+ inpaint_advanced_masking_checkbox = gr.Checkbox(label='Enable Advanced Masking Features', value=modules.config.default_inpaint_advanced_masking_checkbox)
inpaint_mode = gr.Dropdown(choices=modules.flags.inpaint_options, value=modules.config.default_inpaint_method, label='Method')
inpaint_additional_prompt = gr.Textbox(placeholder="Describe what you want to inpaint.", elem_id='inpaint_additional_prompt', label='Inpaint Additional Prompt', visible=False)
outpaint_selections = gr.CheckboxGroup(choices=['Left', 'Right', 'Top', 'Bottom'], value=[], label='Outpaint Direction')
@@ -271,9 +269,9 @@ def ip_advance_checked(x):
gr.HTML('* Powered by Fooocus Inpaint Engine \U0001F4D4 Documentation')
example_inpaint_prompts.click(lambda x: x[0], inputs=example_inpaint_prompts, outputs=inpaint_additional_prompt, show_progress=False, queue=False)
- with gr.Column(visible=False) as inpaint_mask_generation_col:
+ with gr.Column(visible=modules.config.default_inpaint_advanced_masking_checkbox) as inpaint_mask_generation_col:
inpaint_mask_image = grh.Image(label='Mask Upload', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF", mask_opacity=1, elem_id='inpaint_mask_canvas')
- invert_mask_checkbox = gr.Checkbox(label='Invert Mask When Generating', value=False)
+ invert_mask_checkbox = gr.Checkbox(label='Invert Mask When Generating', value=modules.config.default_invert_mask_checkbox)
inpaint_mask_model = gr.Dropdown(label='Mask generation model',
choices=flags.inpaint_mask_models,
value=modules.config.default_inpaint_mask_model)
@@ -333,33 +331,33 @@ def generate_mask(image, mask_model, cloth_category, dino_prompt_text, sam_model
example_inpaint_mask_dino_prompt_text],
queue=False, show_progress=False)
- with gr.TabItem(label='Describe') as desc_tab:
+ with gr.Tab(label='Describe', id='describe_tab') as describe_tab:
with gr.Row():
with gr.Column():
- desc_input_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False)
+ describe_input_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False)
with gr.Column():
- desc_method = gr.Radio(
+ describe_method = gr.Radio(
label='Content Type',
- choices=[flags.desc_type_photo, flags.desc_type_anime],
- value=flags.desc_type_photo)
- desc_btn = gr.Button(value='Describe this Image into Prompt')
- desc_image_size = gr.Textbox(label='Image Size and Recommended Size', elem_id='desc_image_size', visible=False)
+ choices=[flags.describe_type_photo, flags.describe_type_anime],
+ value=flags.describe_type_photo)
+ describe_btn = gr.Button(value='Describe this Image into Prompt')
+ describe_image_size = gr.Textbox(label='Image Size and Recommended Size', elem_id='describe_image_size', visible=False)
gr.HTML('\U0001F4D4 Documentation')
def trigger_show_image_properties(image):
value = modules.util.get_image_size_info(image, modules.flags.sdxl_aspect_ratios)
return gr.update(value=value, visible=True)
- desc_input_image.upload(trigger_show_image_properties, inputs=desc_input_image,
- outputs=desc_image_size, show_progress=False, queue=False)
+ describe_input_image.upload(trigger_show_image_properties, inputs=describe_input_image,
+ outputs=describe_image_size, show_progress=False, queue=False)
- with gr.TabItem(label='Enhance') as enhance_tab:
+ with gr.Tab(label='Enhance', id='enhance_tab') as enhance_tab:
with gr.Row():
with gr.Column():
enhance_input_image = grh.Image(label='Use with Enhance, skips image generation', source='upload', type='numpy')
gr.HTML('\U0001F4D4 Documentation')
- with gr.TabItem(label='Metadata') as metadata_tab:
+ with gr.Tab(label='Metadata', id='metadata_tab') as metadata_tab:
with gr.Column():
metadata_input_image = grh.Image(label='For images created by Fooocus', source='upload', type='pil')
metadata_json = gr.JSON(label='Metadata')
@@ -382,7 +380,7 @@ def trigger_metadata_preview(file):
with gr.Row(visible=modules.config.default_enhance_checkbox) as enhance_input_panel:
with gr.Tabs():
- with gr.TabItem(label='Upscale or Variation'):
+ with gr.Tab(label='Upscale or Variation'):
with gr.Row():
with gr.Column():
enhance_uov_method = gr.Radio(label='Upscale or Variation:', choices=flags.uov_list,
@@ -407,7 +405,7 @@ def trigger_metadata_preview(file):
enhance_inpaint_engine_ctrls = []
enhance_inpaint_update_ctrls = []
for index in range(modules.config.default_enhance_tabs):
- with gr.TabItem(label=f'#{index + 1}') as enhance_tab_item:
+ with gr.Tab(label=f'#{index + 1}') as enhance_tab_item:
enhance_enabled = gr.Checkbox(label='Enable', value=False, elem_classes='min_check',
container=False)
@@ -549,7 +547,7 @@ def trigger_metadata_preview(file):
uov_tab.select(lambda: 'uov', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
inpaint_tab.select(lambda: 'inpaint', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
ip_tab.select(lambda: 'ip', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
- desc_tab.select(lambda: 'desc', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
+ describe_tab.select(lambda: 'desc', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
enhance_tab.select(lambda: 'enhance', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
metadata_tab.select(lambda: 'metadata', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
enhance_checkbox.change(lambda x: gr.update(visible=x), inputs=enhance_checkbox,
@@ -693,9 +691,9 @@ def update_history_link():
value=modules.config.default_sample_sharpness,
info='Higher value means image and texture are sharper.')
gr.HTML('\U0001F4D4 Documentation')
- dev_mode = gr.Checkbox(label='Developer Debug Mode', value=False, container=False)
+ dev_mode = gr.Checkbox(label='Developer Debug Mode', value=modules.config.default_developer_debug_mode_checkbox, container=False)
- with gr.Column(visible=False) as dev_tools:
+ with gr.Column(visible=modules.config.default_developer_debug_mode_checkbox) as dev_tools:
with gr.Tab(label='Debug Tools'):
adm_scaler_positive = gr.Slider(label='Positive ADM Guidance Scaler', minimum=0.1, maximum=3.0,
step=0.001, value=1.5, info='The scaler multiplied to positive ADM (use 1.0 to disable). ')
@@ -1062,16 +1060,16 @@ def trigger_metadata_import(file, state_is_generating):
break
def trigger_describe(mode, img):
- if mode == flags.desc_type_photo:
+ if mode == flags.describe_type_photo:
from extras.interrogate import default_interrogator as default_interrogator_photo
return default_interrogator_photo(img), ["Fooocus V2", "Fooocus Enhance", "Fooocus Sharp"]
- if mode == flags.desc_type_anime:
+ if mode == flags.describe_type_anime:
from extras.wd14tagger import default_interrogator as default_interrogator_anime
return default_interrogator_anime(img), ["Fooocus V2", "Fooocus Masterpiece"]
return mode, ["Fooocus V2"]
- desc_btn.click(trigger_describe, inputs=[desc_method, desc_input_image],
- outputs=[prompt, style_selections], show_progress=True, queue=True)
+ describe_btn.click(trigger_describe, inputs=[describe_method, describe_input_image],
+ outputs=[prompt, style_selections], show_progress=True, queue=True)
if args_manager.args.enable_auto_describe_image:
def trigger_auto_describe(mode, img, prompt):
@@ -1080,11 +1078,11 @@ def trigger_auto_describe(mode, img, prompt):
return trigger_describe(mode, img)
return gr.update(), gr.update()
- uov_input_image.upload(trigger_auto_describe, inputs=[desc_method, uov_input_image, prompt],
+ uov_input_image.upload(trigger_auto_describe, inputs=[describe_method, uov_input_image, prompt],
outputs=[prompt, style_selections], show_progress=True, queue=True)
enhance_input_image.upload(lambda: gr.update(value=True), outputs=enhance_checkbox, queue=False, show_progress=False) \
- .then(trigger_auto_describe, inputs=[desc_method, enhance_input_image, prompt], outputs=[prompt, style_selections], show_progress=True, queue=True)
+ .then(trigger_auto_describe, inputs=[describe_method, enhance_input_image, prompt], outputs=[prompt, style_selections], show_progress=True, queue=True)
def dump_default_english_config():
from modules.localization import dump_english_config