feat: extend config settings for image input (#3382)
* docs: update numbering of basic debug procedure in issue template * feat: add config default_image_prompt_checkbox * feat: add config for default_image_prompt_advanced_checkbox * feat: add config for default_inpaint_advanced_masking_checkbox * feat: add config for default_invert_mask_checkbox * feat: add config for default_developer_debug_mode_checkbox * refactor: regroup checkbox configs * feat: add config for default_uov_method * feat: add configs for controlnet default_controlnet_image_count, ip_images, ip_stop_ats, ip_weights and ip_types * feat: add config for selected tab, rename desc to describe
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parent
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commit
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@ -9,7 +9,7 @@ patch_all()
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class AsyncTask:
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def __init__(self, args):
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from modules.flags import Performance, MetadataScheme, ip_list, controlnet_image_count, disabled
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from modules.flags import Performance, MetadataScheme, ip_list, disabled
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from modules.util import get_enabled_loras
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from modules.config import default_max_lora_number
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import args_manager
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@ -101,7 +101,7 @@ class AsyncTask:
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args.pop()) if not args_manager.args.disable_metadata else MetadataScheme.FOOOCUS
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self.cn_tasks = {x: [] for x in ip_list}
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for _ in range(controlnet_image_count):
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for _ in range(modules.config.default_controlnet_image_count):
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cn_img = args.pop()
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cn_stop = args.pop()
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cn_weight = args.pop()
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@ -403,12 +403,36 @@ default_performance = get_config_item_or_set_default(
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validator=lambda x: x in Performance.values(),
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expected_type=str
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)
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default_image_prompt_checkbox = get_config_item_or_set_default(
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key='default_image_prompt_checkbox',
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default_value=False,
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validator=lambda x: isinstance(x, bool),
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expected_type=bool
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)
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default_enhance_checkbox = get_config_item_or_set_default(
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key='default_enhance_checkbox',
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default_value=False,
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validator=lambda x: isinstance(x, bool),
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expected_type=bool
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)
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default_advanced_checkbox = get_config_item_or_set_default(
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key='default_advanced_checkbox',
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default_value=False,
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validator=lambda x: isinstance(x, bool),
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expected_type=bool
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)
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default_developer_debug_mode_checkbox = get_config_item_or_set_default(
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key='default_developer_debug_mode_checkbox',
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default_value=False,
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validator=lambda x: isinstance(x, bool),
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expected_type=bool
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)
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default_image_prompt_advanced_checkbox = get_config_item_or_set_default(
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key='default_image_prompt_advanced_checkbox',
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default_value=False,
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validator=lambda x: isinstance(x, bool),
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expected_type=bool
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)
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default_max_image_number = get_config_item_or_set_default(
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key='default_max_image_number',
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default_value=32,
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@ -469,6 +493,64 @@ default_inpaint_engine_version = get_config_item_or_set_default(
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validator=lambda x: x in modules.flags.inpaint_engine_versions,
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expected_type=str
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)
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default_selected_image_input_tab_id = get_config_item_or_set_default(
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key='default_selected_image_input_tab_id',
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default_value=modules.flags.default_input_image_tab,
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validator=lambda x: x in modules.flags.input_image_tab_ids,
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expected_type=str
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)
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default_uov_method = get_config_item_or_set_default(
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key='default_uov_method',
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default_value=modules.flags.disabled,
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validator=lambda x: x in modules.flags.uov_list,
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expected_type=str
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)
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default_controlnet_image_count = get_config_item_or_set_default(
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key='default_controlnet_image_count',
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default_value=4,
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validator=lambda x: isinstance(x, int) and x > 0,
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expected_type=int
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)
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default_ip_images = {}
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default_ip_stop_ats = {}
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default_ip_weights = {}
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default_ip_types = {}
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for image_count in range(default_controlnet_image_count):
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default_ip_images[image_count] = get_config_item_or_set_default(
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key=f'default_ip_image_{image_count}',
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default_value=None,
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validator=lambda x: x is None or isinstance(x, str) and os.path.exists(x),
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expected_type=str
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)
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default_ip_types[image_count] = get_config_item_or_set_default(
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key=f'default_ip_type_{image_count}',
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default_value=modules.flags.default_ip,
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validator=lambda x: x in modules.flags.ip_list,
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expected_type=str
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)
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default_end, default_weight = modules.flags.default_parameters[default_ip_types[image_count]]
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default_ip_stop_ats[image_count] = get_config_item_or_set_default(
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key=f'default_ip_stop_at_{image_count}',
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default_value=default_end,
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validator=lambda x: isinstance(x, float) and 0 <= x <= 1,
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expected_type=float
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)
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default_ip_weights[image_count] = get_config_item_or_set_default(
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key=f'default_ip_weight_{image_count}',
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default_value=default_weight,
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validator=lambda x: isinstance(x, float) and 0 <= x <= 2,
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expected_type=float
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)
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default_inpaint_advanced_masking_checkbox = get_config_item_or_set_default(
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key='default_inpaint_advanced_masking_checkbox',
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default_value=False,
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validator=lambda x: isinstance(x, bool),
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expected_type=bool
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)
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default_inpaint_method = get_config_item_or_set_default(
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key='default_inpaint_method',
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default_value=modules.flags.inpaint_option_default,
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@ -526,12 +608,6 @@ default_enhance_tabs = get_config_item_or_set_default(
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validator=lambda x: isinstance(x, int) and 1 <= x <= 5,
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expected_type=int
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)
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default_enhance_checkbox = get_config_item_or_set_default(
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key='default_enhance_checkbox',
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default_value=False,
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validator=lambda x: isinstance(x, bool),
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expected_type=bool
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)
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default_enhance_uov_method = get_config_item_or_set_default(
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key='default_enhance_uov_method',
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default_value=modules.flags.disabled,
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@ -590,6 +666,13 @@ metadata_created_by = get_config_item_or_set_default(
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example_inpaint_prompts = [[x] for x in example_inpaint_prompts]
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example_enhance_detection_prompts = [[x] for x in example_enhance_detection_prompts]
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default_invert_mask_checkbox = get_config_item_or_set_default(
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key='default_invert_mask_checkbox',
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default_value=False,
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validator=lambda x: isinstance(x, bool),
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expected_type=bool
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)
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default_inpaint_mask_model = get_config_item_or_set_default(
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key='default_inpaint_mask_model',
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default_value='isnet-general-use',
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@ -67,6 +67,9 @@ default_vae = 'Default (model)'
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refiner_swap_method = 'joint'
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default_input_image_tab = 'uov_tab'
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input_image_tab_ids = ['uov_tab', 'ip_tab', 'inpaint_tab', 'describe_tab', 'enhance_tab', 'metadata_tab']
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cn_ip = "ImagePrompt"
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cn_ip_face = "FaceSwap"
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cn_canny = "PyraCanny"
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@ -91,8 +94,8 @@ inpaint_option_detail = 'Improve Detail (face, hand, eyes, etc.)'
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inpaint_option_modify = 'Modify Content (add objects, change background, etc.)'
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inpaint_options = [inpaint_option_default, inpaint_option_detail, inpaint_option_modify]
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desc_type_photo = 'Photograph'
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desc_type_anime = 'Art/Anime'
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describe_type_photo = 'Photograph'
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describe_type_anime = 'Art/Anime'
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sdxl_aspect_ratios = [
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'704*1408', '704*1344', '768*1344', '768*1280', '832*1216', '832*1152',
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@ -113,8 +116,6 @@ metadata_scheme = [
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(f'{MetadataScheme.A1111.value} (plain text)', MetadataScheme.A1111.value),
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]
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controlnet_image_count = 4
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class OutputFormat(Enum):
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PNG = 'png'
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78
webui.py
78
webui.py
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@ -200,19 +200,19 @@ with shared.gradio_root:
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stop_button.click(stop_clicked, inputs=currentTask, outputs=currentTask, queue=False, show_progress=False, _js='cancelGenerateForever')
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skip_button.click(skip_clicked, inputs=currentTask, outputs=currentTask, queue=False, show_progress=False)
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with gr.Row(elem_classes='advanced_check_row'):
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input_image_checkbox = gr.Checkbox(label='Input Image', value=False, container=False, elem_classes='min_check')
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input_image_checkbox = gr.Checkbox(label='Input Image', value=modules.config.default_image_prompt_checkbox, container=False, elem_classes='min_check')
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enhance_checkbox = gr.Checkbox(label='Enhance', value=modules.config.default_enhance_checkbox, container=False, elem_classes='min_check')
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advanced_checkbox = gr.Checkbox(label='Advanced', value=modules.config.default_advanced_checkbox, container=False, elem_classes='min_check')
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with gr.Row(visible=False) as image_input_panel:
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with gr.Tabs():
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with gr.TabItem(label='Upscale or Variation') as uov_tab:
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with gr.Row(visible=modules.config.default_image_prompt_checkbox) as image_input_panel:
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with gr.Tabs(selected=modules.config.default_selected_image_input_tab_id):
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with gr.Tab(label='Upscale or Variation', id='uov_tab') as uov_tab:
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with gr.Row():
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with gr.Column():
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uov_input_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False)
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with gr.Column():
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uov_method = gr.Radio(label='Upscale or Variation:', choices=flags.uov_list, value=flags.disabled)
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uov_method = gr.Radio(label='Upscale or Variation:', choices=flags.uov_list, value=modules.config.default_uov_method)
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gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/390" target="_blank">\U0001F4D4 Documentation</a>')
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with gr.TabItem(label='Image Prompt') as ip_tab:
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with gr.Tab(label='Image Prompt', id='ip_tab') as ip_tab:
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with gr.Row():
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ip_images = []
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ip_types = []
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@ -220,30 +220,28 @@ with shared.gradio_root:
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ip_weights = []
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ip_ctrls = []
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ip_ad_cols = []
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for _ in range(flags.controlnet_image_count):
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for image_count in range(modules.config.default_controlnet_image_count):
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with gr.Column():
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ip_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False, height=300)
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ip_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False, height=300, value=modules.config.default_ip_images[image_count])
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ip_images.append(ip_image)
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ip_ctrls.append(ip_image)
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with gr.Column(visible=False) as ad_col:
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with gr.Column(visible=modules.config.default_image_prompt_advanced_checkbox) as ad_col:
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with gr.Row():
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default_end, default_weight = flags.default_parameters[flags.default_ip]
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ip_stop = gr.Slider(label='Stop At', minimum=0.0, maximum=1.0, step=0.001, value=default_end)
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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])
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ip_stops.append(ip_stop)
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ip_ctrls.append(ip_stop)
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ip_weight = gr.Slider(label='Weight', minimum=0.0, maximum=2.0, step=0.001, value=default_weight)
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ip_weight = gr.Slider(label='Weight', minimum=0.0, maximum=2.0, step=0.001, value=modules.config.default_ip_weights[image_count])
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ip_weights.append(ip_weight)
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ip_ctrls.append(ip_weight)
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ip_type = gr.Radio(label='Type', choices=flags.ip_list, value=flags.default_ip, container=False)
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ip_type = gr.Radio(label='Type', choices=flags.ip_list, value=modules.config.default_ip_types[image_count], container=False)
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ip_types.append(ip_type)
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ip_ctrls.append(ip_type)
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ip_type.change(lambda x: flags.default_parameters[x], inputs=[ip_type], outputs=[ip_stop, ip_weight], queue=False, show_progress=False)
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ip_ad_cols.append(ad_col)
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ip_advanced = gr.Checkbox(label='Advanced', value=False, container=False)
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ip_advanced = gr.Checkbox(label='Advanced', value=modules.config.default_image_prompt_advanced_checkbox, container=False)
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gr.HTML('* \"Image Prompt\" is powered by Fooocus Image Mixture Engine (v1.0.1). <a href="https://github.com/lllyasviel/Fooocus/discussions/557" target="_blank">\U0001F4D4 Documentation</a>')
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def ip_advance_checked(x):
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@ -256,11 +254,11 @@ with shared.gradio_root:
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outputs=ip_ad_cols + ip_types + ip_stops + ip_weights,
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queue=False, show_progress=False)
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with gr.TabItem(label='Inpaint or Outpaint') as inpaint_tab:
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with gr.Tab(label='Inpaint or Outpaint', id='inpaint_tab') as inpaint_tab:
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with gr.Row():
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with gr.Column():
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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)
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inpaint_advanced_masking_checkbox = gr.Checkbox(label='Enable Advanced Masking Features', value=False)
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inpaint_advanced_masking_checkbox = gr.Checkbox(label='Enable Advanced Masking Features', value=modules.config.default_inpaint_advanced_masking_checkbox)
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inpaint_mode = gr.Dropdown(choices=modules.flags.inpaint_options, value=modules.config.default_inpaint_method, label='Method')
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inpaint_additional_prompt = gr.Textbox(placeholder="Describe what you want to inpaint.", elem_id='inpaint_additional_prompt', label='Inpaint Additional Prompt', visible=False)
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outpaint_selections = gr.CheckboxGroup(choices=['Left', 'Right', 'Top', 'Bottom'], value=[], label='Outpaint Direction')
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@ -271,9 +269,9 @@ with shared.gradio_root:
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gr.HTML('* Powered by Fooocus Inpaint Engine <a href="https://github.com/lllyasviel/Fooocus/discussions/414" target="_blank">\U0001F4D4 Documentation</a>')
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example_inpaint_prompts.click(lambda x: x[0], inputs=example_inpaint_prompts, outputs=inpaint_additional_prompt, show_progress=False, queue=False)
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with gr.Column(visible=False) as inpaint_mask_generation_col:
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with gr.Column(visible=modules.config.default_inpaint_advanced_masking_checkbox) as inpaint_mask_generation_col:
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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')
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invert_mask_checkbox = gr.Checkbox(label='Invert Mask When Generating', value=False)
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invert_mask_checkbox = gr.Checkbox(label='Invert Mask When Generating', value=modules.config.default_invert_mask_checkbox)
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inpaint_mask_model = gr.Dropdown(label='Mask generation model',
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choices=flags.inpaint_mask_models,
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value=modules.config.default_inpaint_mask_model)
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@ -333,33 +331,33 @@ with shared.gradio_root:
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example_inpaint_mask_dino_prompt_text],
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queue=False, show_progress=False)
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with gr.TabItem(label='Describe') as desc_tab:
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with gr.Tab(label='Describe', id='describe_tab') as describe_tab:
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with gr.Row():
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with gr.Column():
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desc_input_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False)
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describe_input_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False)
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with gr.Column():
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desc_method = gr.Radio(
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describe_method = gr.Radio(
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label='Content Type',
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choices=[flags.desc_type_photo, flags.desc_type_anime],
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value=flags.desc_type_photo)
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desc_btn = gr.Button(value='Describe this Image into Prompt')
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desc_image_size = gr.Textbox(label='Image Size and Recommended Size', elem_id='desc_image_size', visible=False)
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choices=[flags.describe_type_photo, flags.describe_type_anime],
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value=flags.describe_type_photo)
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describe_btn = gr.Button(value='Describe this Image into Prompt')
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describe_image_size = gr.Textbox(label='Image Size and Recommended Size', elem_id='describe_image_size', visible=False)
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gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/1363" target="_blank">\U0001F4D4 Documentation</a>')
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def trigger_show_image_properties(image):
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value = modules.util.get_image_size_info(image, modules.flags.sdxl_aspect_ratios)
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return gr.update(value=value, visible=True)
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desc_input_image.upload(trigger_show_image_properties, inputs=desc_input_image,
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outputs=desc_image_size, show_progress=False, queue=False)
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describe_input_image.upload(trigger_show_image_properties, inputs=describe_input_image,
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outputs=describe_image_size, show_progress=False, queue=False)
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with gr.TabItem(label='Enhance') as enhance_tab:
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with gr.Tab(label='Enhance', id='enhance_tab') as enhance_tab:
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with gr.Row():
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with gr.Column():
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enhance_input_image = grh.Image(label='Use with Enhance, skips image generation', source='upload', type='numpy')
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gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/3281" target="_blank">\U0001F4D4 Documentation</a>')
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with gr.TabItem(label='Metadata') as metadata_tab:
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with gr.Tab(label='Metadata', id='metadata_tab') as metadata_tab:
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with gr.Column():
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metadata_input_image = grh.Image(label='For images created by Fooocus', source='upload', type='pil')
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metadata_json = gr.JSON(label='Metadata')
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@ -382,7 +380,7 @@ with shared.gradio_root:
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with gr.Row(visible=modules.config.default_enhance_checkbox) as enhance_input_panel:
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with gr.Tabs():
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with gr.TabItem(label='Upscale or Variation'):
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with gr.Tab(label='Upscale or Variation'):
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with gr.Row():
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with gr.Column():
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enhance_uov_method = gr.Radio(label='Upscale or Variation:', choices=flags.uov_list,
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@ -407,7 +405,7 @@ with shared.gradio_root:
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enhance_inpaint_engine_ctrls = []
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enhance_inpaint_update_ctrls = []
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for index in range(modules.config.default_enhance_tabs):
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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 @@ with shared.gradio_root:
|
|||
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 @@ with shared.gradio_root:
|
|||
value=modules.config.default_sample_sharpness,
|
||||
info='Higher value means image and texture are sharper.')
|
||||
gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/117" target="_blank">\U0001F4D4 Documentation</a>')
|
||||
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). ')
|
||||
|
|
@ -1062,15 +1060,15 @@ with shared.gradio_root:
|
|||
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],
|
||||
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:
|
||||
|
|
@ -1080,11 +1078,11 @@ with shared.gradio_root:
|
|||
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
|
||||
|
|
|
|||
Loading…
Reference in New Issue