1707 lines
112 KiB
Python
1707 lines
112 KiB
Python
import gradio as gr
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import random
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import os
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import json
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import time
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import shared
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import modules.config
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import fooocus_version
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import modules.html
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import modules.async_worker as worker
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import modules.constants as constants
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import modules.flags as flags
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import modules.gradio_hijack as grh
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import modules.style_sorter as style_sorter
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import modules.meta_parser
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import args_manager
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import copy
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import launch
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from extras.inpaint_mask import SAMOptions
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from modules.sdxl_styles import legal_style_names
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from modules.private_logger import get_current_html_path
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from modules.ui_gradio_extensions import reload_javascript
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from modules.auth import auth_enabled, check_auth
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from modules.util import is_json
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# ──────────────────────────────────────────────────────────────────
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# UI Settings (保存先など永続設定)
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# ──────────────────────────────────────────────────────────────────
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_UI_SETTINGS_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'ui_settings.json')
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def _ui_cfg_load() -> dict:
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if os.path.exists(_UI_SETTINGS_PATH):
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try:
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with open(_UI_SETTINGS_PATH, 'r', encoding='utf-8') as f:
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return json.load(f)
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except Exception:
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pass
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return {}
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def _ui_cfg_save(d: dict):
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with open(_UI_SETTINGS_PATH, 'w', encoding='utf-8') as f:
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json.dump(d, f, ensure_ascii=False, indent=2)
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# 起動時に保存先を復元
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_ui_cfg = _ui_cfg_load()
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if 'path_outputs' in _ui_cfg:
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import modules.config as _cfg_mod
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_cfg_mod.path_outputs = _ui_cfg['path_outputs']
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os.makedirs(_ui_cfg['path_outputs'], exist_ok=True)
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# ──────────────────────────────────────────────────────────────────
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# User Setting Presets helpers
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# ──────────────────────────────────────────────────────────────────
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_USER_SP_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'user_setting_presets.json')
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def _sp_load() -> dict:
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if os.path.exists(_USER_SP_PATH):
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try:
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with open(_USER_SP_PATH, 'r', encoding='utf-8') as f:
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return json.load(f)
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except Exception:
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pass
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return {}
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def _sp_save(presets: dict):
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with open(_USER_SP_PATH, 'w', encoding='utf-8') as f:
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json.dump(presets, f, ensure_ascii=False, indent=2)
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def _sp_aspect_to_resolution(aspect_label: str) -> str:
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"""'1024×1024 | 1:1' → '(1024, 1024)'"""
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try:
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part = aspect_label.split('|')[0].strip()
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w, h = part.split('×')
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return f'({int(w.strip())}, {int(h.strip())})'
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except Exception:
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return '(1024, 1024)'
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def get_task(*args):
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args = list(args)
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args.pop(0)
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return worker.AsyncTask(args=args)
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def generate_clicked(task: worker.AsyncTask):
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import ldm_patched.modules.model_management as model_management
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with model_management.interrupt_processing_mutex:
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model_management.interrupt_processing = False
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# outputs=[progress_html, progress_window, progress_gallery, gallery, gallery_paths]
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if len(task.args) == 0:
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return
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execution_start_time = time.perf_counter()
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finished = False
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yield gr.update(visible=True, value=modules.html.make_progress_html(1, 'Waiting for task to start ...')), \
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gr.update(visible=True, value=None), \
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gr.update(visible=False, value=None), \
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gr.update(visible=False), \
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gr.update()
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worker.async_tasks.append(task)
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while not finished:
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time.sleep(0.01)
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if len(task.yields) > 0:
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flag, product = task.yields.pop(0)
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if flag == 'preview':
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# help bad internet connection by skipping duplicated preview
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if len(task.yields) > 0: # if we have the next item
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if task.yields[0][0] == 'preview': # if the next item is also a preview
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# print('Skipped one preview for better internet connection.')
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continue
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percentage, title, image = product
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yield gr.update(visible=True, value=modules.html.make_progress_html(percentage, title)), \
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gr.update(visible=True, value=image) if image is not None else gr.update(), \
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gr.update(), \
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gr.update(visible=False), \
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gr.update()
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if flag == 'results':
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yield gr.update(visible=True), \
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gr.update(visible=True), \
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gr.update(visible=True, value=product), \
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gr.update(visible=False), \
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gr.update()
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if flag == 'finish':
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if not args_manager.args.disable_enhance_output_sorting:
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product = sort_enhance_images(product, task)
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yield gr.update(visible=False), \
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gr.update(visible=False), \
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gr.update(visible=False), \
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gr.update(visible=True, value=product), \
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product
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finished = True
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# delete Fooocus temp images, only keep gradio temp images
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if args_manager.args.disable_image_log:
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for filepath in product:
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if isinstance(filepath, str) and os.path.exists(filepath):
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os.remove(filepath)
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execution_time = time.perf_counter() - execution_start_time
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print(f'Total time: {execution_time:.2f} seconds')
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return
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def sort_enhance_images(images, task):
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if not task.should_enhance or len(images) <= task.images_to_enhance_count:
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return images
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sorted_images = []
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walk_index = task.images_to_enhance_count
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for index, enhanced_img in enumerate(images[:task.images_to_enhance_count]):
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sorted_images.append(enhanced_img)
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if index not in task.enhance_stats:
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continue
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target_index = walk_index + task.enhance_stats[index]
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if walk_index < len(images) and target_index <= len(images):
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sorted_images += images[walk_index:target_index]
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walk_index += task.enhance_stats[index]
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return sorted_images
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def inpaint_mode_change(mode, inpaint_engine_version):
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assert mode in modules.flags.inpaint_options
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# inpaint_additional_prompt, outpaint_selections, example_inpaint_prompts,
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# inpaint_disable_initial_latent, inpaint_engine,
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# inpaint_strength, inpaint_respective_field
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if mode == modules.flags.inpaint_option_detail:
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return [
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gr.update(visible=True), gr.update(visible=False, value=[]),
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gr.Dataset.update(visible=True, samples=modules.config.example_inpaint_prompts),
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False, 'None', 0.5, 0.0
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]
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if inpaint_engine_version == 'empty':
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inpaint_engine_version = modules.config.default_inpaint_engine_version
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if mode == modules.flags.inpaint_option_modify:
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return [
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gr.update(visible=True), gr.update(visible=False, value=[]),
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gr.Dataset.update(visible=False, samples=modules.config.example_inpaint_prompts),
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True, inpaint_engine_version, 1.0, 0.0
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]
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return [
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gr.update(visible=False, value=''), gr.update(visible=True),
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gr.Dataset.update(visible=False, samples=modules.config.example_inpaint_prompts),
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False, inpaint_engine_version, 1.0, 0.618
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]
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reload_javascript()
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title = f'Fooocus {fooocus_version.version}'
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if isinstance(args_manager.args.preset, str):
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title += ' ' + args_manager.args.preset
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shared.gradio_root = gr.Blocks(title=title).queue()
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with shared.gradio_root:
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currentTask = gr.State(worker.AsyncTask(args=[]))
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inpaint_engine_state = gr.State('empty')
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with gr.Row():
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with gr.Column(scale=2):
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with gr.Row():
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progress_window = grh.Image(label='プレビュー', show_label=True, visible=False, height=768,
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elem_classes=['main_view'])
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progress_gallery = gr.Gallery(label='生成完了', show_label=True, object_fit='contain',
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height=768, visible=False, elem_classes=['main_view', 'image_gallery'])
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progress_html = gr.HTML(value=modules.html.make_progress_html(32, 'Progress 32%'), visible=False,
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elem_id='progress-bar', elem_classes='progress-bar')
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gallery = gr.Gallery(label='ギャラリー', show_label=False, object_fit='contain', visible=True, height=768,
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elem_classes=['resizable_area', 'main_view', 'final_gallery', 'image_gallery'],
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elem_id='final_gallery')
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# ── ブラッシュアップ & OpenCV エディットパネル ──
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brushup_selected = gr.State(None)
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brushup_original = gr.State(None)
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gallery_paths = gr.State([])
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with gr.Row(elem_id='brushup_bar'):
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with gr.Column(scale=0, min_width=114, elem_classes='brushup_btn_col', visible=False) as brushup_btn_col:
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brushup_subtle_btn = gr.Button('🎨 微調整', variant='secondary', min_width=0)
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brushup_strong_btn = gr.Button('🎭 強変更', variant='secondary', min_width=0)
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brushup_upscale_btn = gr.Button('🔍 ×2拡大', variant='secondary', min_width=0)
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brushup_gen_btn = gr.Button('⚡ 変更して生成', variant='primary', min_width=0)
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with gr.Column(scale=1):
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brushup_status_html = gr.HTML(
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value='<span style="color:#5a5a7a;font-size:11px;font-family:monospace;">'
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'💡 ギャラリーの画像をクリックして選択 → ブラッシュアップ / 編集</span>',
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elem_id='brushup_status_html')
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with gr.Row(visible=False, elem_id='edit_panel') as edit_panel:
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with gr.Column(scale=1):
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# ── プリセット ──
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with gr.Row(elem_id='edit_presets'):
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edit_preset_vivid = gr.Button('🔆 ビビッド', min_width=0, elem_classes='preset_btn')
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edit_preset_cinema = gr.Button('🎬 シネマ', min_width=0, elem_classes='preset_btn')
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edit_preset_warm = gr.Button('🌅 ウォーム', min_width=0, elem_classes='preset_btn')
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edit_preset_cool = gr.Button('❄️ クール', min_width=0, elem_classes='preset_btn')
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edit_preset_soft = gr.Button('🌫️ ソフト', min_width=0, elem_classes='preset_btn')
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# ── スライダー ──
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edit_brightness = gr.Slider(label='明るさ', minimum=-100, maximum=100, value=0, step=1)
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edit_contrast = gr.Slider(label='コントラスト', minimum=0.1, maximum=3.0, value=1.0, step=0.05)
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edit_saturation = gr.Slider(label='彩度', minimum=0.0, maximum=3.0, value=1.0, step=0.05)
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edit_hue = gr.Slider(label='色相シフト', minimum=-90, maximum=90, value=0, step=1)
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edit_temperature = gr.Slider(label='色温度 ❄→🌅', minimum=-100, maximum=100, value=0, step=1)
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edit_sharpness = gr.Slider(label='シャープネス', minimum=0.0, maximum=3.0, value=1.0, step=0.1)
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# ── 回転・反転 ──
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with gr.Row():
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edit_rot_l = gr.Button('↺ 左90°', min_width=0)
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edit_rot_r = gr.Button('↻ 右90°', min_width=0)
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edit_flip_h = gr.Button('↔ 水平反転', min_width=0)
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edit_flip_v = gr.Button('↕ 垂直反転', min_width=0)
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# ── アクション ──
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with gr.Row():
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edit_reset_btn = gr.Button('🔄 リセット', min_width=0)
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edit_apply_btn = gr.Button('✓ 適用 (選択更新)', variant='primary', min_width=0)
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with gr.Column(scale=1):
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edit_preview = gr.Image(label='編集プレビュー', type='numpy', interactive=False, height=340)
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edit_ba_btn = gr.Button('🔍 元画像を確認 (B/A)', min_width=0)
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with gr.Row():
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with gr.Column(scale=17):
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prompt = gr.Textbox(show_label=False, placeholder="プロンプトを入力、またはパラメータを貼り付け", elem_id='positive_prompt',
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autofocus=True, lines=3)
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default_prompt = modules.config.default_prompt
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if isinstance(default_prompt, str) and default_prompt != '':
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shared.gradio_root.load(lambda: default_prompt, outputs=prompt)
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with gr.Column(scale=3, min_width=0):
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generate_button = gr.Button(label="生成", value="生成", elem_classes='type_row', elem_id='generate_button', visible=True)
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reset_button = gr.Button(label="再接続", value="再接続", elem_classes='type_row', elem_id='reset_button', visible=False)
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load_parameter_button = gr.Button(label="パラメータ読込", value="パラメータ読込", elem_classes='type_row', elem_id='load_parameter_button', visible=False)
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skip_button = gr.Button(label="スキップ", value="スキップ", elem_classes='type_row_half', elem_id='skip_button', visible=False)
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stop_button = gr.Button(label="停止", value="停止", elem_classes='type_row_half', elem_id='stop_button', visible=False)
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def stop_clicked(currentTask):
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import ldm_patched.modules.model_management as model_management
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currentTask.last_stop = 'stop'
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if (currentTask.processing):
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model_management.interrupt_current_processing()
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return currentTask
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def skip_clicked(currentTask):
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import ldm_patched.modules.model_management as model_management
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currentTask.last_stop = 'skip'
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if (currentTask.processing):
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model_management.interrupt_current_processing()
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return currentTask
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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.Accordion('🔮 Prompt Forge — タグ選択＆翻訳', open=False, elem_id='pf_accordion'):
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gr.HTML(value=(
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'<div id="pf_container" style="position:relative;height:480px;'
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'border-radius:6px;overflow:hidden;background:#0a0a0f;">'
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' <div id="pf_loading" style="position:absolute;inset:0;display:flex;'
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' align-items:center;justify-content:center;flex-direction:column;gap:12px;'
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' background:#0a0a0f;color:#7c4dff;font-family:monospace;font-size:13px;'
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' pointer-events:none;z-index:2;">'
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' <div style="width:36px;height:36px;border:3px solid #2a2a45;'
|
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' border-top-color:#7c4dff;border-radius:50%;'
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' animation:pf-spin 0.8s linear infinite;"></div>'
|
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' <span>Prompt Forge を読み込み中...</span>'
|
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' </div>'
|
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' <style>@keyframes pf-spin{to{transform:rotate(360deg)}}</style>'
|
||
' <iframe id="pf_iframe" src="http://127.0.0.1:8080/?embed=1"'
|
||
' style="width:100%;height:100%;border:none;background:#0a0a0f;"'
|
||
' allow="clipboard-write"'
|
||
' onload="var l=document.getElementById(\'pf_loading\');if(l)l.style.display=\'none\';">'
|
||
' </iframe>'
|
||
'</div>'
|
||
'<div style="text-align:right;margin-top:4px;">'
|
||
' <a href="#" onclick="window.scrollTo({top:0,behavior:\'smooth\'});return false;"'
|
||
' style="font-size:12px;color:#7c4dff;text-decoration:none;opacity:0.8;">'
|
||
' ▲ 生成エリアへ戻る'
|
||
' </a>'
|
||
'</div>'
|
||
))
|
||
with gr.Row(elem_classes='advanced_check_row'):
|
||
input_image_checkbox = gr.Checkbox(label='入力画像', value=modules.config.default_image_prompt_checkbox, container=False, elem_classes='min_check')
|
||
enhance_checkbox = gr.Checkbox(label='強化', value=modules.config.default_enhance_checkbox, container=False, elem_classes='min_check')
|
||
advanced_checkbox = gr.Checkbox(label='詳細設定', value=modules.config.default_advanced_checkbox, container=False, elem_classes='min_check')
|
||
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) as image_input_tabs:
|
||
with gr.Tab(label='拡大・バリエーション', id='uov_tab') as uov_tab:
|
||
with gr.Row():
|
||
with gr.Column():
|
||
uov_input_image = grh.Image(label='画像', source='upload', type='numpy', show_label=False)
|
||
with gr.Column():
|
||
uov_method = gr.Radio(label='拡大またはバリエーション:', choices=flags.uov_list, value=modules.config.default_uov_method)
|
||
gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/390" target="_blank">📖 ドキュメント</a>')
|
||
with gr.Tab(label='画像プロンプト', id='ip_tab') as ip_tab:
|
||
with gr.Row():
|
||
ip_images = []
|
||
ip_types = []
|
||
ip_stops = []
|
||
ip_weights = []
|
||
ip_ctrls = []
|
||
ip_ad_cols = []
|
||
for image_count in range(modules.config.default_controlnet_image_count):
|
||
image_count += 1
|
||
with gr.Column():
|
||
ip_image = grh.Image(label='画像', 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=modules.config.default_image_prompt_advanced_checkbox) as ad_col:
|
||
with gr.Row():
|
||
ip_stop = gr.Slider(label='停止位置', 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='ウェイト', 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='タイプ', 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='詳細設定', value=modules.config.default_image_prompt_advanced_checkbox, container=False)
|
||
gr.HTML('* 「画像プロンプト」は Fooocus Image Mixture Engine (v1.0.1) で動作しています。<a href="https://github.com/lllyasviel/Fooocus/discussions/557" target="_blank">📖 ドキュメント</a>')
|
||
|
||
def ip_advance_checked(x):
|
||
return [gr.update(visible=x)] * len(ip_ad_cols) + \
|
||
[flags.default_ip] * len(ip_types) + \
|
||
[flags.default_parameters[flags.default_ip][0]] * len(ip_stops) + \
|
||
[flags.default_parameters[flags.default_ip][1]] * len(ip_weights)
|
||
|
||
ip_advanced.change(ip_advance_checked, inputs=ip_advanced,
|
||
outputs=ip_ad_cols + ip_types + ip_stops + ip_weights,
|
||
queue=False, show_progress=False)
|
||
|
||
with gr.Tab(label='インペイント・アウトペイント', id='inpaint_tab') as inpaint_tab:
|
||
with gr.Row():
|
||
with gr.Column():
|
||
inpaint_input_image = grh.Image(label='画像', 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='高度マスキング機能を有効化', value=modules.config.default_inpaint_advanced_masking_checkbox)
|
||
inpaint_mode = gr.Dropdown(choices=modules.flags.inpaint_options, value=modules.config.default_inpaint_method, label='方式')
|
||
inpaint_additional_prompt = gr.Textbox(placeholder="インペイントしたい内容を入力", elem_id='inpaint_additional_prompt', label='インペイント追加プロンプト', visible=False)
|
||
outpaint_selections = gr.CheckboxGroup(choices=['Left', 'Right', 'Top', 'Bottom'], value=[], label='アウトペイント方向')
|
||
example_inpaint_prompts = gr.Dataset(samples=modules.config.example_inpaint_prompts,
|
||
label='追加プロンプト クイックリスト',
|
||
components=[inpaint_additional_prompt],
|
||
visible=False)
|
||
gr.HTML('* Fooocus Inpaint Engine で動作しています。<a href="https://github.com/lllyasviel/Fooocus/discussions/414" target="_blank">📖 ドキュメント</a>')
|
||
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=modules.config.default_inpaint_advanced_masking_checkbox) as inpaint_mask_generation_col:
|
||
inpaint_mask_image = grh.Image(label='マスクアップロード', 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='生成時にマスクを反転', value=modules.config.default_invert_mask_checkbox)
|
||
inpaint_mask_model = gr.Dropdown(label='マスク生成モデル',
|
||
choices=flags.inpaint_mask_models,
|
||
value=modules.config.default_inpaint_mask_model)
|
||
inpaint_mask_cloth_category = gr.Dropdown(label='衣類カテゴリー',
|
||
choices=flags.inpaint_mask_cloth_category,
|
||
value=modules.config.default_inpaint_mask_cloth_category,
|
||
visible=False)
|
||
inpaint_mask_dino_prompt_text = gr.Textbox(label='検出プロンプト', value='', visible=False, info='できるだけ単数形で入力してください', placeholder='検出したい対象を入力')
|
||
example_inpaint_mask_dino_prompt_text = gr.Dataset(
|
||
samples=modules.config.example_enhance_detection_prompts,
|
||
label='検出プロンプト クイックリスト',
|
||
components=[inpaint_mask_dino_prompt_text],
|
||
visible=modules.config.default_inpaint_mask_model == 'sam')
|
||
example_inpaint_mask_dino_prompt_text.click(lambda x: x[0],
|
||
inputs=example_inpaint_mask_dino_prompt_text,
|
||
outputs=inpaint_mask_dino_prompt_text,
|
||
show_progress=False, queue=False)
|
||
|
||
with gr.Accordion("詳細オプション", visible=False, open=False) as inpaint_mask_advanced_options:
|
||
inpaint_mask_sam_model = gr.Dropdown(label='SAM モデル', choices=flags.inpaint_mask_sam_model, value=modules.config.default_inpaint_mask_sam_model)
|
||
inpaint_mask_box_threshold = gr.Slider(label="ボックス閾値", minimum=0.0, maximum=1.0, value=0.3, step=0.05)
|
||
inpaint_mask_text_threshold = gr.Slider(label="テキスト閾値", minimum=0.0, maximum=1.0, value=0.25, step=0.05)
|
||
inpaint_mask_sam_max_detections = gr.Slider(label="最大検出数", info="0 に設定するとすべて検出", minimum=0, maximum=10, value=modules.config.default_sam_max_detections, step=1, interactive=True)
|
||
generate_mask_button = gr.Button(value='画像からマスクを生成')
|
||
|
||
def generate_mask(image, mask_model, cloth_category, dino_prompt_text, sam_model, box_threshold, text_threshold, sam_max_detections, dino_erode_or_dilate, dino_debug):
|
||
from extras.inpaint_mask import generate_mask_from_image
|
||
|
||
extras = {}
|
||
sam_options = None
|
||
if mask_model == 'u2net_cloth_seg':
|
||
extras['cloth_category'] = cloth_category
|
||
elif mask_model == 'sam':
|
||
sam_options = SAMOptions(
|
||
dino_prompt=dino_prompt_text,
|
||
dino_box_threshold=box_threshold,
|
||
dino_text_threshold=text_threshold,
|
||
dino_erode_or_dilate=dino_erode_or_dilate,
|
||
dino_debug=dino_debug,
|
||
max_detections=sam_max_detections,
|
||
model_type=sam_model
|
||
)
|
||
|
||
mask, _, _, _ = generate_mask_from_image(image, mask_model, extras, sam_options)
|
||
|
||
return mask
|
||
|
||
|
||
inpaint_mask_model.change(lambda x: [gr.update(visible=x == 'u2net_cloth_seg')] +
|
||
[gr.update(visible=x == 'sam')] * 2 +
|
||
[gr.Dataset.update(visible=x == 'sam',
|
||
samples=modules.config.example_enhance_detection_prompts)],
|
||
inputs=inpaint_mask_model,
|
||
outputs=[inpaint_mask_cloth_category,
|
||
inpaint_mask_dino_prompt_text,
|
||
inpaint_mask_advanced_options,
|
||
example_inpaint_mask_dino_prompt_text],
|
||
queue=False, show_progress=False)
|
||
|
||
with gr.Tab(label='画像解析', id='describe_tab') as describe_tab:
|
||
with gr.Row():
|
||
with gr.Column():
|
||
describe_input_image = grh.Image(label='画像', source='upload', type='numpy', show_label=False)
|
||
with gr.Column():
|
||
describe_methods = gr.CheckboxGroup(
|
||
label='コンテンツタイプ',
|
||
choices=flags.describe_types,
|
||
value=modules.config.default_describe_content_type)
|
||
describe_apply_styles = gr.Checkbox(label='スタイルを適用', value=modules.config.default_describe_apply_prompts_checkbox)
|
||
describe_btn = gr.Button(value='画像をプロンプトに変換')
|
||
describe_image_size = gr.Textbox(label='画像サイズと推奨サイズ', elem_id='describe_image_size', visible=False)
|
||
gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/1363" target="_blank">📖 ドキュメント</a>')
|
||
|
||
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)
|
||
|
||
describe_input_image.upload(trigger_show_image_properties, inputs=describe_input_image,
|
||
outputs=describe_image_size, show_progress=False, queue=False)
|
||
|
||
with gr.Tab(label='強化', id='enhance_tab') as enhance_tab:
|
||
with gr.Row():
|
||
with gr.Column():
|
||
enhance_input_image = grh.Image(label='強化モード用（画像生成をスキップ）', source='upload', type='numpy')
|
||
gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/3281" target="_blank">📖 ドキュメント</a>')
|
||
|
||
with gr.Tab(label='メタデータ', id='metadata_tab') as metadata_tab:
|
||
with gr.Column():
|
||
metadata_input_image = grh.Image(label='Fooocus で作成した画像を読み込む', source='upload', type='pil')
|
||
metadata_json = gr.JSON(label='メタデータ')
|
||
metadata_import_button = gr.Button(value='メタデータを適用')
|
||
|
||
def trigger_metadata_preview(file):
|
||
parameters, metadata_scheme = modules.meta_parser.read_info_from_image(file)
|
||
|
||
results = {}
|
||
if parameters is not None:
|
||
results['parameters'] = parameters
|
||
|
||
if isinstance(metadata_scheme, flags.MetadataScheme):
|
||
results['metadata_scheme'] = metadata_scheme.value
|
||
|
||
return results
|
||
|
||
metadata_input_image.upload(trigger_metadata_preview, inputs=metadata_input_image,
|
||
outputs=metadata_json, queue=False, show_progress=True)
|
||
|
||
with gr.Row(visible=modules.config.default_enhance_checkbox) as enhance_input_panel:
|
||
with gr.Tabs():
|
||
with gr.Tab(label='拡大・バリエーション'):
|
||
with gr.Row():
|
||
with gr.Column():
|
||
enhance_uov_method = gr.Radio(label='拡大またはバリエーション:', choices=flags.uov_list,
|
||
value=modules.config.default_enhance_uov_method)
|
||
enhance_uov_processing_order = gr.Radio(label='処理順序',
|
||
info='「前」は細部の強化、「後」は広い領域の強化に使用します。',
|
||
choices=flags.enhancement_uov_processing_order,
|
||
value=modules.config.default_enhance_uov_processing_order)
|
||
enhance_uov_prompt_type = gr.Radio(label='プロンプト',
|
||
info='拡大またはバリエーションに使用するプロンプトを選択します。',
|
||
choices=flags.enhancement_uov_prompt_types,
|
||
value=modules.config.default_enhance_uov_prompt_type,
|
||
visible=modules.config.default_enhance_uov_processing_order == flags.enhancement_uov_after)
|
||
|
||
enhance_uov_processing_order.change(lambda x: gr.update(visible=x == flags.enhancement_uov_after),
|
||
inputs=enhance_uov_processing_order,
|
||
outputs=enhance_uov_prompt_type,
|
||
queue=False, show_progress=False)
|
||
gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/3281" target="_blank">📖 ドキュメント</a>')
|
||
enhance_ctrls = []
|
||
enhance_inpaint_mode_ctrls = []
|
||
enhance_inpaint_engine_ctrls = []
|
||
enhance_inpaint_update_ctrls = []
|
||
for index in range(modules.config.default_enhance_tabs):
|
||
with gr.Tab(label=f'#{index + 1}') as enhance_tab_item:
|
||
enhance_enabled = gr.Checkbox(label='有効化', value=False, elem_classes='min_check',
|
||
container=False)
|
||
|
||
enhance_mask_dino_prompt_text = gr.Textbox(label='検出プロンプト',
|
||
info='できるだけ単数形で入力してください',
|
||
placeholder='検出したい対象を入力',
|
||
interactive=True,
|
||
visible=modules.config.default_enhance_inpaint_mask_model == 'sam')
|
||
example_enhance_mask_dino_prompt_text = gr.Dataset(
|
||
samples=modules.config.example_enhance_detection_prompts,
|
||
label='検出プロンプト クイックリスト',
|
||
components=[enhance_mask_dino_prompt_text],
|
||
visible=modules.config.default_enhance_inpaint_mask_model == 'sam')
|
||
example_enhance_mask_dino_prompt_text.click(lambda x: x[0],
|
||
inputs=example_enhance_mask_dino_prompt_text,
|
||
outputs=enhance_mask_dino_prompt_text,
|
||
show_progress=False, queue=False)
|
||
|
||
enhance_prompt = gr.Textbox(label="強化用ポジティブプロンプト",
|
||
placeholder="空欄の場合は元のプロンプトを使用します。",
|
||
elem_id='enhance_prompt')
|
||
enhance_negative_prompt = gr.Textbox(label="強化用ネガティブプロンプト",
|
||
placeholder="空欄の場合は元のネガティブプロンプトを使用します。",
|
||
elem_id='enhance_negative_prompt')
|
||
|
||
with gr.Accordion("検出", open=False):
|
||
enhance_mask_model = gr.Dropdown(label='マスク生成モデル',
|
||
choices=flags.inpaint_mask_models,
|
||
value=modules.config.default_enhance_inpaint_mask_model)
|
||
enhance_mask_cloth_category = gr.Dropdown(label='衣類カテゴリー',
|
||
choices=flags.inpaint_mask_cloth_category,
|
||
value=modules.config.default_inpaint_mask_cloth_category,
|
||
visible=modules.config.default_enhance_inpaint_mask_model == 'u2net_cloth_seg',
|
||
interactive=True)
|
||
|
||
with gr.Accordion("SAM オプション",
|
||
visible=modules.config.default_enhance_inpaint_mask_model == 'sam',
|
||
open=False) as sam_options:
|
||
enhance_mask_sam_model = gr.Dropdown(label='SAM モデル',
|
||
choices=flags.inpaint_mask_sam_model,
|
||
value=modules.config.default_inpaint_mask_sam_model,
|
||
interactive=True)
|
||
enhance_mask_box_threshold = gr.Slider(label="ボックス閾値", minimum=0.0,
|
||
maximum=1.0, value=0.3, step=0.05,
|
||
interactive=True)
|
||
enhance_mask_text_threshold = gr.Slider(label="テキスト閾値", minimum=0.0,
|
||
maximum=1.0, value=0.25, step=0.05,
|
||
interactive=True)
|
||
enhance_mask_sam_max_detections = gr.Slider(label="最大検出数",
|
||
info="0 に設定するとすべて検出",
|
||
minimum=0, maximum=10,
|
||
value=modules.config.default_sam_max_detections,
|
||
step=1, interactive=True)
|
||
|
||
with gr.Accordion("インペイント", visible=True, open=False):
|
||
enhance_inpaint_mode = gr.Dropdown(choices=modules.flags.inpaint_options,
|
||
value=modules.config.default_inpaint_method,
|
||
label='方式', interactive=True)
|
||
enhance_inpaint_disable_initial_latent = gr.Checkbox(
|
||
label='インペイントの初期潜在を無効化', value=False)
|
||
enhance_inpaint_engine = gr.Dropdown(label='インペイントエンジン',
|
||
value=modules.config.default_inpaint_engine_version,
|
||
choices=flags.inpaint_engine_versions,
|
||
info='Fooocus インペイントモデルのバージョン。Quality または Speed を推奨。')
|
||
enhance_inpaint_strength = gr.Slider(label='インペイント デノイズ強度',
|
||
minimum=0.0, maximum=1.0, step=0.001,
|
||
value=1.0,
|
||
info='A1111 インペイントのデノイズ強度と同じです。'
|
||
'インペイントのみに使用（アウトペイントには無効）。'
|
||
'（アウトペイントは常に 1.0）')
|
||
enhance_inpaint_respective_field = gr.Slider(label='インペイント対象範囲',
|
||
minimum=0.0, maximum=1.0, step=0.001,
|
||
value=0.618,
|
||
info='インペイントする領域。'
|
||
'0 は A1111 の「マスクのみ」、'
|
||
'1 は「画像全体」と同じです。'
|
||
'インペイントのみ有効（アウトペイントは常に 1.0）')
|
||
enhance_inpaint_erode_or_dilate = gr.Slider(label='マスク 侵食/膨張',
|
||
minimum=-64, maximum=64, step=1, value=0,
|
||
info='正の値はマスクの白い領域を拡大、'
|
||
'負の値は縮小します。'
|
||
'（デフォルト 0、マスク反転前に処理）')
|
||
enhance_mask_invert = gr.Checkbox(label='マスクを反転', value=False)
|
||
|
||
gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/3281" target="_blank">📖 ドキュメント</a>')
|
||
|
||
enhance_ctrls += [
|
||
enhance_enabled,
|
||
enhance_mask_dino_prompt_text,
|
||
enhance_prompt,
|
||
enhance_negative_prompt,
|
||
enhance_mask_model,
|
||
enhance_mask_cloth_category,
|
||
enhance_mask_sam_model,
|
||
enhance_mask_text_threshold,
|
||
enhance_mask_box_threshold,
|
||
enhance_mask_sam_max_detections,
|
||
enhance_inpaint_disable_initial_latent,
|
||
enhance_inpaint_engine,
|
||
enhance_inpaint_strength,
|
||
enhance_inpaint_respective_field,
|
||
enhance_inpaint_erode_or_dilate,
|
||
enhance_mask_invert
|
||
]
|
||
|
||
enhance_inpaint_mode_ctrls += [enhance_inpaint_mode]
|
||
enhance_inpaint_engine_ctrls += [enhance_inpaint_engine]
|
||
|
||
enhance_inpaint_update_ctrls += [[
|
||
enhance_inpaint_mode, enhance_inpaint_disable_initial_latent, enhance_inpaint_engine,
|
||
enhance_inpaint_strength, enhance_inpaint_respective_field
|
||
]]
|
||
|
||
enhance_inpaint_mode.change(inpaint_mode_change, inputs=[enhance_inpaint_mode, inpaint_engine_state], outputs=[
|
||
inpaint_additional_prompt, outpaint_selections, example_inpaint_prompts,
|
||
enhance_inpaint_disable_initial_latent, enhance_inpaint_engine,
|
||
enhance_inpaint_strength, enhance_inpaint_respective_field
|
||
], show_progress=False, queue=False)
|
||
|
||
enhance_mask_model.change(
|
||
lambda x: [gr.update(visible=x == 'u2net_cloth_seg')] +
|
||
[gr.update(visible=x == 'sam')] * 2 +
|
||
[gr.Dataset.update(visible=x == 'sam',
|
||
samples=modules.config.example_enhance_detection_prompts)],
|
||
inputs=enhance_mask_model,
|
||
outputs=[enhance_mask_cloth_category, enhance_mask_dino_prompt_text, sam_options,
|
||
example_enhance_mask_dino_prompt_text],
|
||
queue=False, show_progress=False)
|
||
|
||
switch_js = "(x) => {if(x){viewer_to_bottom(100);viewer_to_bottom(500);}else{viewer_to_top();} return x;}"
|
||
down_js = "() => {viewer_to_bottom();}"
|
||
|
||
input_image_checkbox.change(lambda x: gr.update(visible=x), inputs=input_image_checkbox,
|
||
outputs=image_input_panel, queue=False, show_progress=False, _js=switch_js)
|
||
ip_advanced.change(lambda: None, queue=False, show_progress=False, _js=down_js)
|
||
|
||
current_tab = gr.Textbox(value='uov', visible=False)
|
||
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)
|
||
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,
|
||
outputs=enhance_input_panel, queue=False, show_progress=False, _js=switch_js)
|
||
|
||
with gr.Column(scale=1, visible=modules.config.default_advanced_checkbox) as advanced_column:
|
||
with gr.Tab(label='設定'):
|
||
if not args_manager.args.disable_preset_selection:
|
||
preset_selection = gr.Dropdown(label='プリセット',
|
||
choices=modules.config.available_presets,
|
||
value=args_manager.args.preset if args_manager.args.preset else "initial",
|
||
interactive=True)
|
||
|
||
# ── User Setting Presets UI ──
|
||
with gr.Accordion('⭐ 設定プリセット', open=False, elem_id='user_sp_accordion'):
|
||
# ── 保存先フォルダ ──
|
||
with gr.Row():
|
||
output_path_box = gr.Textbox(
|
||
label='📁 保存先フォルダ',
|
||
value=modules.config.path_outputs,
|
||
scale=5, interactive=True,
|
||
placeholder='例: C:/Users/xxx/Pictures/Fooocus')
|
||
output_path_btn = gr.Button('✓ 変更', variant='secondary', scale=1, min_width=0)
|
||
output_path_status = gr.Markdown(value='')
|
||
gr.HTML('<hr style="border-color:rgba(255,255,255,0.08);margin:4px 0;">')
|
||
# ── プリセット操作 ──
|
||
with gr.Row():
|
||
user_sp_dropdown = gr.Dropdown(
|
||
label='保存済みプリセット',
|
||
choices=list(_sp_load().keys()),
|
||
value=None, scale=4, interactive=True)
|
||
user_sp_load_btn = gr.Button('📂 読込', variant='primary', scale=1, min_width=0)
|
||
user_sp_delete_btn = gr.Button('🗑️ 削除', variant='stop', scale=1, min_width=0)
|
||
with gr.Row():
|
||
user_sp_name = gr.Textbox(
|
||
label='保存名', placeholder='プリセット名を入力して保存...', scale=4)
|
||
user_sp_save_btn = gr.Button('💾 現在の設定を保存', variant='secondary', scale=2, min_width=0)
|
||
user_sp_status = gr.Markdown(value='')
|
||
|
||
performance_selection = gr.Radio(label='パフォーマンス',
|
||
choices=flags.Performance.values(),
|
||
value=modules.config.default_performance,
|
||
elem_classes=['performance_selection'])
|
||
|
||
with gr.Accordion(label='アスペクト比', open=False, elem_id='aspect_ratios_accordion') as aspect_ratios_accordion:
|
||
aspect_ratios_selection = gr.Radio(label='アスペクト比', show_label=False,
|
||
choices=modules.config.available_aspect_ratios_labels,
|
||
value=modules.config.default_aspect_ratio,
|
||
info='幅 × 高さ',
|
||
elem_classes='aspect_ratios')
|
||
|
||
aspect_ratios_selection.change(lambda x: None, inputs=aspect_ratios_selection, queue=False, show_progress=False, _js='(x)=>{refresh_aspect_ratios_label(x);}')
|
||
shared.gradio_root.load(lambda x: None, inputs=aspect_ratios_selection, queue=False, show_progress=False, _js='(x)=>{refresh_aspect_ratios_label(x);}')
|
||
|
||
image_number = gr.Slider(label='生成枚数', minimum=1, maximum=modules.config.default_max_image_number, step=1, value=modules.config.default_image_number)
|
||
|
||
output_format = gr.Radio(label='出力形式',
|
||
choices=flags.OutputFormat.list(),
|
||
value=modules.config.default_output_format)
|
||
|
||
negative_prompt = gr.Textbox(label='ネガティブプロンプト', show_label=True, placeholder="ここにプロンプトを入力",
|
||
info='生成したくない要素を入力してください。', lines=2,
|
||
elem_id='negative_prompt',
|
||
value=modules.config.default_prompt_negative)
|
||
seed_random = gr.Checkbox(label='ランダム', value=True)
|
||
image_seed = gr.Textbox(label='シード', value=0, max_lines=1, visible=False) # workaround for https://github.com/gradio-app/gradio/issues/5354
|
||
|
||
def random_checked(r):
|
||
return gr.update(visible=not r)
|
||
|
||
def refresh_seed(r, seed_string):
|
||
if r:
|
||
return random.randint(constants.MIN_SEED, constants.MAX_SEED)
|
||
else:
|
||
try:
|
||
seed_value = int(seed_string)
|
||
if constants.MIN_SEED <= seed_value <= constants.MAX_SEED:
|
||
return seed_value
|
||
except ValueError:
|
||
pass
|
||
return random.randint(constants.MIN_SEED, constants.MAX_SEED)
|
||
|
||
seed_random.change(random_checked, inputs=[seed_random], outputs=[image_seed],
|
||
queue=False, show_progress=False)
|
||
|
||
def update_history_link():
|
||
if args_manager.args.disable_image_log:
|
||
return gr.update(value='')
|
||
|
||
return gr.update(value=f'<a href="file={get_current_html_path(output_format)}" target="_blank">📚 生成履歴</a>')
|
||
|
||
history_link = gr.HTML()
|
||
shared.gradio_root.load(update_history_link, outputs=history_link, queue=False, show_progress=False)
|
||
|
||
with gr.Tab(label='スタイル', elem_classes=['style_selections_tab']):
|
||
style_sorter.try_load_sorted_styles(
|
||
style_names=legal_style_names,
|
||
default_selected=modules.config.default_styles)
|
||
|
||
style_search_bar = gr.Textbox(show_label=False, container=False,
|
||
placeholder="🔍 スタイルを検索...",
|
||
value="",
|
||
label='スタイル検索')
|
||
style_selections = gr.CheckboxGroup(show_label=False, container=False,
|
||
choices=copy.deepcopy(style_sorter.all_styles),
|
||
value=copy.deepcopy(modules.config.default_styles),
|
||
label='選択中のスタイル',
|
||
elem_classes=['style_selections'])
|
||
gradio_receiver_style_selections = gr.Textbox(elem_id='gradio_receiver_style_selections', visible=False)
|
||
|
||
shared.gradio_root.load(lambda: gr.update(choices=copy.deepcopy(style_sorter.all_styles)),
|
||
outputs=style_selections)
|
||
|
||
style_search_bar.change(style_sorter.search_styles,
|
||
inputs=[style_selections, style_search_bar],
|
||
outputs=style_selections,
|
||
queue=False,
|
||
show_progress=False).then(
|
||
lambda: None, _js='()=>{refresh_style_localization();}')
|
||
|
||
gradio_receiver_style_selections.input(style_sorter.sort_styles,
|
||
inputs=style_selections,
|
||
outputs=style_selections,
|
||
queue=False,
|
||
show_progress=False).then(
|
||
lambda: None, _js='()=>{refresh_style_localization();}')
|
||
|
||
with gr.Tab(label='モデル'):
|
||
with gr.Group():
|
||
with gr.Row():
|
||
base_model = gr.Dropdown(label='ベースモデル（SDXL のみ）', choices=modules.config.model_filenames, value=modules.config.default_base_model_name, show_label=True)
|
||
refiner_model = gr.Dropdown(label='リファイナー（SDXL または SD 1.5）', choices=['None'] + modules.config.model_filenames, value=modules.config.default_refiner_model_name, show_label=True)
|
||
|
||
refiner_switch = gr.Slider(label='リファイナー切替タイミング', minimum=0.1, maximum=1.0, step=0.0001,
|
||
info='SD1.5 リアル系: 0.4 / アニメ系: 0.667 / XL リファイナー: 0.8 / 2モデル切替: 任意の値',
|
||
value=modules.config.default_refiner_switch,
|
||
visible=modules.config.default_refiner_model_name != 'None')
|
||
|
||
refiner_model.change(lambda x: gr.update(visible=x != 'None'),
|
||
inputs=refiner_model, outputs=refiner_switch, show_progress=False, queue=False)
|
||
|
||
with gr.Group():
|
||
lora_ctrls = []
|
||
|
||
for i, (enabled, filename, weight) in enumerate(modules.config.default_loras):
|
||
with gr.Row():
|
||
lora_enabled = gr.Checkbox(label='有効', value=enabled,
|
||
elem_classes=['lora_enable', 'min_check'], scale=1)
|
||
lora_model = gr.Dropdown(label=f'LoRA {i + 1}',
|
||
choices=['None'] + modules.config.lora_filenames, value=filename,
|
||
elem_classes='lora_model', scale=5)
|
||
lora_weight = gr.Slider(label='ウェイト', minimum=modules.config.default_loras_min_weight,
|
||
maximum=modules.config.default_loras_max_weight, step=0.01, value=weight,
|
||
elem_classes='lora_weight', scale=5)
|
||
lora_ctrls += [lora_enabled, lora_model, lora_weight]
|
||
|
||
with gr.Row():
|
||
refresh_files = gr.Button(label='更新', value='🔄 全ファイルを更新', variant='secondary', elem_classes='refresh_button')
|
||
with gr.Tab(label='詳細設定'):
|
||
guidance_scale = gr.Slider(label='ガイダンススケール', minimum=1.0, maximum=30.0, step=0.01,
|
||
value=modules.config.default_cfg_scale,
|
||
info='値が高いほどスタイルが鮮明・鮮やか・芸術的になります。')
|
||
sharpness = gr.Slider(label='画像シャープネス', minimum=0.0, maximum=30.0, step=0.001,
|
||
value=modules.config.default_sample_sharpness,
|
||
info='値が高いほど画像とテクスチャがシャープになります。')
|
||
gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/117" target="_blank">📖 ドキュメント</a>')
|
||
dev_mode = gr.Checkbox(label='開発者デバッグモード', value=modules.config.default_developer_debug_mode_checkbox, container=False)
|
||
|
||
with gr.Column(visible=modules.config.default_developer_debug_mode_checkbox) as dev_tools:
|
||
with gr.Tab(label='デバッグツール'):
|
||
adm_scaler_positive = gr.Slider(label='ポジティブ ADM ガイダンス スケーラー', minimum=0.1, maximum=3.0,
|
||
step=0.001, value=1.5, info='ポジティブ ADM に乗算するスケーラー（無効にするには 1.0）。')
|
||
adm_scaler_negative = gr.Slider(label='ネガティブ ADM ガイダンス スケーラー', minimum=0.1, maximum=3.0,
|
||
step=0.001, value=0.8, info='ネガティブ ADM に乗算するスケーラー（無効にするには 1.0）。')
|
||
adm_scaler_end = gr.Slider(label='ADM ガイダンス終了ステップ', minimum=0.0, maximum=1.0,
|
||
step=0.001, value=0.3,
|
||
info='ポジティブ/ネガティブ ADM ガイダンスを終了するタイミング。')
|
||
|
||
refiner_swap_method = gr.Dropdown(label='リファイナー スワップ方式', value=flags.refiner_swap_method,
|
||
choices=['joint', 'separate', 'vae'])
|
||
|
||
adaptive_cfg = gr.Slider(label='CFG TSNR ミミッキング', minimum=1.0, maximum=30.0, step=0.01,
|
||
value=modules.config.default_cfg_tsnr,
|
||
info='TSNR 向け CFG ミミッキングを有効化します（実 CFG > ミミッキング CFG のとき有効）。')
|
||
clip_skip = gr.Slider(label='CLIP スキップ', minimum=1, maximum=flags.clip_skip_max, step=1,
|
||
value=modules.config.default_clip_skip,
|
||
info='過学習を避けるため CLIP レイヤーをスキップします（1: スキップなし、推奨: 2）。')
|
||
sampler_name = gr.Dropdown(label='サンプラー', choices=flags.sampler_list,
|
||
value=modules.config.default_sampler)
|
||
scheduler_name = gr.Dropdown(label='スケジューラー', choices=flags.scheduler_list,
|
||
value=modules.config.default_scheduler)
|
||
vae_name = gr.Dropdown(label='VAE', choices=[modules.flags.default_vae] + modules.config.vae_filenames,
|
||
value=modules.config.default_vae, show_label=True)
|
||
|
||
generate_image_grid = gr.Checkbox(label='バッチごとに画像グリッドを生成',
|
||
info='（実験的）環境によってはパフォーマンスに影響する場合があります。',
|
||
value=False)
|
||
|
||
overwrite_step = gr.Slider(label='サンプリングステップ 強制上書き',
|
||
minimum=-1, maximum=200, step=1,
|
||
value=modules.config.default_overwrite_step,
|
||
info='-1 で無効。開発者向けデバッグ用。')
|
||
overwrite_switch = gr.Slider(label='リファイナー切替ステップ 強制上書き',
|
||
minimum=-1, maximum=200, step=1,
|
||
value=modules.config.default_overwrite_switch,
|
||
info='-1 で無効。開発者向けデバッグ用。')
|
||
overwrite_width = gr.Slider(label='生成幅 強制上書き',
|
||
minimum=-1, maximum=2048, step=1, value=-1,
|
||
info='-1 で無効。SDXL の学習外の値は品質が低下します。')
|
||
overwrite_height = gr.Slider(label='生成高さ 強制上書き',
|
||
minimum=-1, maximum=2048, step=1, value=-1,
|
||
info='-1 で無効。SDXL の学習外の値は品質が低下します。')
|
||
overwrite_vary_strength = gr.Slider(label='「バリエーション」デノイズ強度 強制上書き',
|
||
minimum=-1, maximum=1.0, step=0.001, value=-1,
|
||
info='負の値で無効。開発者向けデバッグ用。')
|
||
overwrite_upscale_strength = gr.Slider(label='「アップスケール」デノイズ強度 強制上書き',
|
||
minimum=-1, maximum=1.0, step=0.001,
|
||
value=modules.config.default_overwrite_upscale,
|
||
info='負の値で無効。開発者向けデバッグ用。')
|
||
|
||
disable_preview = gr.Checkbox(label='プレビューを無効化', value=modules.config.default_black_out_nsfw,
|
||
interactive=not modules.config.default_black_out_nsfw,
|
||
info='生成中のプレビュー表示を無効にします。')
|
||
disable_intermediate_results = gr.Checkbox(label='中間結果を無効化',
|
||
value=flags.Performance.has_restricted_features(modules.config.default_performance),
|
||
info='生成中の中間結果を非表示にし、最終ギャラリーのみ表示します。')
|
||
|
||
disable_seed_increment = gr.Checkbox(label='シード自動増加を無効化',
|
||
info='生成枚数が 1 より多い場合の自動シード増加を無効にします。',
|
||
value=False)
|
||
read_wildcards_in_order = gr.Checkbox(label="ワイルドカードを順番に読む", value=False)
|
||
|
||
black_out_nsfw = gr.Checkbox(label='NSFW を黒塗り', value=modules.config.default_black_out_nsfw,
|
||
interactive=not modules.config.default_black_out_nsfw,
|
||
info='NSFW が検出された場合に黒い画像を表示します。')
|
||
|
||
black_out_nsfw.change(lambda x: gr.update(value=x, interactive=not x),
|
||
inputs=black_out_nsfw, outputs=disable_preview, queue=False,
|
||
show_progress=False)
|
||
|
||
if not args_manager.args.disable_image_log:
|
||
save_final_enhanced_image_only = gr.Checkbox(label='最終強化画像のみ保存',
|
||
value=modules.config.default_save_only_final_enhanced_image)
|
||
|
||
if not args_manager.args.disable_metadata:
|
||
save_metadata_to_images = gr.Checkbox(label='メタデータを画像に保存', value=modules.config.default_save_metadata_to_images,
|
||
info='生成パラメータを画像に埋め込み、後から再生成できるようにします。')
|
||
metadata_scheme = gr.Radio(label='メタデータスキーム', choices=flags.metadata_scheme, value=modules.config.default_metadata_scheme,
|
||
info='画像プロンプトのパラメータは含まれません。Civitai との互換性には png と a1111 を使用してください。',
|
||
visible=modules.config.default_save_metadata_to_images)
|
||
|
||
save_metadata_to_images.change(lambda x: gr.update(visible=x), inputs=[save_metadata_to_images], outputs=[metadata_scheme],
|
||
queue=False, show_progress=False)
|
||
|
||
with gr.Tab(label='コントロール'):
|
||
debugging_cn_preprocessor = gr.Checkbox(label='プリプロセッサーをデバッグ', value=False,
|
||
info='プリプロセッサーの処理結果を確認します。')
|
||
skipping_cn_preprocessor = gr.Checkbox(label='プリプロセッサーをスキップ', value=False,
|
||
info='画像を前処理しません（入力が既に Canny/Depth 等の場合に使用）。')
|
||
|
||
mixing_image_prompt_and_vary_upscale = gr.Checkbox(label='画像プロンプトとバリエーション/拡大を混合',
|
||
value=False)
|
||
mixing_image_prompt_and_inpaint = gr.Checkbox(label='画像プロンプトとインペイントを混合',
|
||
value=False)
|
||
|
||
controlnet_softness = gr.Slider(label='ControlNet ソフトネス', minimum=0.0, maximum=1.0,
|
||
step=0.001, value=0.25,
|
||
info='A1111 のコントロールモードに相当します（0.0 で無効）。')
|
||
|
||
with gr.Tab(label='Canny'):
|
||
canny_low_threshold = gr.Slider(label='Canny 低閾値', minimum=1, maximum=255,
|
||
step=1, value=64)
|
||
canny_high_threshold = gr.Slider(label='Canny 高閾値', minimum=1, maximum=255,
|
||
step=1, value=128)
|
||
|
||
with gr.Tab(label='インペイント'):
|
||
debugging_inpaint_preprocessor = gr.Checkbox(label='インペイント前処理をデバッグ', value=False)
|
||
debugging_enhance_masks_checkbox = gr.Checkbox(label='強化マスクをデバッグ', value=False,
|
||
info='プレビューと最終結果に強化マスクを表示します。')
|
||
debugging_dino = gr.Checkbox(label='GroundingDINO をデバッグ', value=False,
|
||
info='SAM マスクの代わりに GroundingDINO のボックスを使用します。')
|
||
inpaint_disable_initial_latent = gr.Checkbox(label='インペイントの初期潜在を無効化', value=False)
|
||
inpaint_engine = gr.Dropdown(label='インペイントエンジン',
|
||
value=modules.config.default_inpaint_engine_version,
|
||
choices=flags.inpaint_engine_versions,
|
||
info='Fooocus インペイントモデルのバージョン。Quality または Speed を推奨。')
|
||
inpaint_strength = gr.Slider(label='インペイント デノイズ強度',
|
||
minimum=0.0, maximum=1.0, step=0.001, value=1.0,
|
||
info='A1111 インペイントのデノイズ強度と同じです。'
|
||
'インペイントのみ有効（アウトペイントは常に 1.0）。')
|
||
inpaint_respective_field = gr.Slider(label='インペイント対象範囲',
|
||
minimum=0.0, maximum=1.0, step=0.001, value=0.618,
|
||
info='インペイントする領域。'
|
||
'0 = A1111 の「マスクのみ」、'
|
||
'1 = 「画像全体」。'
|
||
'インペイントのみ有効（アウトペイントは常に 1.0）。')
|
||
inpaint_erode_or_dilate = gr.Slider(label='マスク 侵食/膨張',
|
||
minimum=-64, maximum=64, step=1, value=0,
|
||
info='正の値はマスクの白い領域を拡大、'
|
||
'負の値は縮小します。'
|
||
'（デフォルト 0、マスク反転前に処理）')
|
||
dino_erode_or_dilate = gr.Slider(label='GroundingDINO ボックス 侵食/膨張',
|
||
minimum=-64, maximum=64, step=1, value=0,
|
||
info='正の値はマスクの白い領域を拡大、'
|
||
'負の値は縮小します。'
|
||
'（デフォルト 0、SAM 処理前に実行）')
|
||
|
||
inpaint_mask_color = gr.ColorPicker(label='インペイントブラシの色', value='#FFFFFF', elem_id='inpaint_brush_color')
|
||
|
||
inpaint_ctrls = [debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine,
|
||
inpaint_strength, inpaint_respective_field,
|
||
inpaint_advanced_masking_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate]
|
||
|
||
inpaint_advanced_masking_checkbox.change(lambda x: [gr.update(visible=x)] * 2,
|
||
inputs=inpaint_advanced_masking_checkbox,
|
||
outputs=[inpaint_mask_image, inpaint_mask_generation_col],
|
||
queue=False, show_progress=False)
|
||
|
||
inpaint_mask_color.change(lambda x: gr.update(brush_color=x), inputs=inpaint_mask_color,
|
||
outputs=inpaint_input_image,
|
||
queue=False, show_progress=False)
|
||
|
||
with gr.Tab(label='FreeU'):
|
||
freeu_enabled = gr.Checkbox(label='有効化', value=False)
|
||
freeu_b1 = gr.Slider(label='B1', minimum=0, maximum=2, step=0.01, value=1.01)
|
||
freeu_b2 = gr.Slider(label='B2', minimum=0, maximum=2, step=0.01, value=1.02)
|
||
freeu_s1 = gr.Slider(label='S1', minimum=0, maximum=4, step=0.01, value=0.99)
|
||
freeu_s2 = gr.Slider(label='S2', minimum=0, maximum=4, step=0.01, value=0.95)
|
||
freeu_ctrls = [freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2]
|
||
|
||
def dev_mode_checked(r):
|
||
return gr.update(visible=r)
|
||
|
||
dev_mode.change(dev_mode_checked, inputs=[dev_mode], outputs=[dev_tools],
|
||
queue=False, show_progress=False)
|
||
|
||
def refresh_files_clicked():
|
||
modules.config.update_files()
|
||
results = [gr.update(choices=modules.config.model_filenames)]
|
||
results += [gr.update(choices=['None'] + modules.config.model_filenames)]
|
||
results += [gr.update(choices=[flags.default_vae] + modules.config.vae_filenames)]
|
||
if not args_manager.args.disable_preset_selection:
|
||
results += [gr.update(choices=modules.config.available_presets)]
|
||
for i in range(modules.config.default_max_lora_number):
|
||
results += [gr.update(interactive=True),
|
||
gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
|
||
return results
|
||
|
||
refresh_files_output = [base_model, refiner_model, vae_name]
|
||
if not args_manager.args.disable_preset_selection:
|
||
refresh_files_output += [preset_selection]
|
||
refresh_files.click(refresh_files_clicked, [], refresh_files_output + lora_ctrls,
|
||
queue=False, show_progress=False)
|
||
|
||
state_is_generating = gr.State(False)
|
||
|
||
load_data_outputs = [advanced_checkbox, image_number, prompt, negative_prompt, style_selections,
|
||
performance_selection, overwrite_step, overwrite_switch, aspect_ratios_selection,
|
||
overwrite_width, overwrite_height, guidance_scale, sharpness, adm_scaler_positive,
|
||
adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, clip_skip,
|
||
base_model, refiner_model, refiner_switch, sampler_name, scheduler_name, vae_name,
|
||
seed_random, image_seed, inpaint_engine, inpaint_engine_state,
|
||
inpaint_mode] + enhance_inpaint_mode_ctrls + [generate_button,
|
||
load_parameter_button] + freeu_ctrls + lora_ctrls
|
||
|
||
if not args_manager.args.disable_preset_selection:
|
||
def preset_selection_change(preset, is_generating, inpaint_mode):
|
||
preset_content = modules.config.try_get_preset_content(preset) if preset != 'initial' else {}
|
||
preset_prepared = modules.meta_parser.parse_meta_from_preset(preset_content)
|
||
|
||
default_model = preset_prepared.get('base_model')
|
||
previous_default_models = preset_prepared.get('previous_default_models', [])
|
||
checkpoint_downloads = preset_prepared.get('checkpoint_downloads', {})
|
||
embeddings_downloads = preset_prepared.get('embeddings_downloads', {})
|
||
lora_downloads = preset_prepared.get('lora_downloads', {})
|
||
vae_downloads = preset_prepared.get('vae_downloads', {})
|
||
|
||
preset_prepared['base_model'], preset_prepared['checkpoint_downloads'] = launch.download_models(
|
||
default_model, previous_default_models, checkpoint_downloads, embeddings_downloads, lora_downloads,
|
||
vae_downloads)
|
||
|
||
if 'prompt' in preset_prepared and preset_prepared.get('prompt') == '':
|
||
del preset_prepared['prompt']
|
||
|
||
return modules.meta_parser.load_parameter_button_click(json.dumps(preset_prepared), is_generating, inpaint_mode)
|
||
|
||
|
||
def inpaint_engine_state_change(inpaint_engine_version, *args):
|
||
if inpaint_engine_version == 'empty':
|
||
inpaint_engine_version = modules.config.default_inpaint_engine_version
|
||
|
||
result = []
|
||
for inpaint_mode in args:
|
||
if inpaint_mode != modules.flags.inpaint_option_detail:
|
||
result.append(gr.update(value=inpaint_engine_version))
|
||
else:
|
||
result.append(gr.update())
|
||
|
||
return result
|
||
|
||
preset_selection.change(preset_selection_change, inputs=[preset_selection, state_is_generating, inpaint_mode], outputs=load_data_outputs, queue=False, show_progress=True) \
|
||
.then(fn=style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False) \
|
||
.then(lambda: None, _js='()=>{refresh_style_localization();}') \
|
||
.then(inpaint_engine_state_change, inputs=[inpaint_engine_state] + enhance_inpaint_mode_ctrls, outputs=enhance_inpaint_engine_ctrls, queue=False, show_progress=False)
|
||
|
||
# ── 保存先変更 イベント ──
|
||
def _do_change_output_path(new_path):
|
||
try:
|
||
p = str(new_path).strip()
|
||
if not p:
|
||
return gr.update(), '❌ パスを入力してください'
|
||
os.makedirs(p, exist_ok=True)
|
||
modules.config.path_outputs = p
|
||
cfg = _ui_cfg_load()
|
||
cfg['path_outputs'] = p
|
||
_ui_cfg_save(cfg)
|
||
return gr.update(value=p), f'✅ 保存先を変更しました: `{p}`'
|
||
except Exception as e:
|
||
return gr.update(), f'❌ エラー: {e}'
|
||
|
||
output_path_btn.click(
|
||
fn=_do_change_output_path, inputs=[output_path_box],
|
||
outputs=[output_path_box, output_path_status], queue=False, show_progress=False)
|
||
|
||
# ── User Setting Presets イベント ──
|
||
_sp_save_inputs = [
|
||
user_sp_name, prompt, negative_prompt, style_selections,
|
||
performance_selection, aspect_ratios_selection, image_number,
|
||
guidance_scale, sharpness, base_model, refiner_model, refiner_switch,
|
||
sampler_name, scheduler_name, vae_name,
|
||
seed_random, image_seed,
|
||
adm_scaler_positive, adm_scaler_negative, adm_scaler_end,
|
||
refiner_swap_method, adaptive_cfg, clip_skip,
|
||
input_image_checkbox, enhance_checkbox, uov_method,
|
||
] + freeu_ctrls + lora_ctrls
|
||
|
||
def sp_do_save(name, prompt_v, neg_v, styles_v, perf_v, aspect_v, img_num,
|
||
guidance_v, sharp_v, base_v, ref_v, ref_sw_v,
|
||
sampler_v, sched_v, vae_v,
|
||
seed_rnd, seed_v,
|
||
adm_p, adm_n, adm_e,
|
||
ref_swap_v, adap_v, clip_v,
|
||
input_img_cb, enhance_cb, uov_m,
|
||
*rest):
|
||
try:
|
||
if not name or not str(name).strip():
|
||
return gr.update(), '❌ プリセット名を入力してください'
|
||
n = str(name).strip()
|
||
# rest = [freeu_en, freeu_b1, freeu_b2, freeu_s1, freeu_s2, lora_en1, lora_m1, lora_w1, ...]
|
||
freeu_en = rest[0] if len(rest) > 0 else False
|
||
freeu_b1_v = rest[1] if len(rest) > 1 else 1.01
|
||
freeu_b2_v = rest[2] if len(rest) > 2 else 1.02
|
||
freeu_s1_v = rest[3] if len(rest) > 3 else 0.99
|
||
freeu_s2_v = rest[4] if len(rest) > 4 else 0.95
|
||
lora_vals = rest[5:]
|
||
|
||
meta = {
|
||
'prompt': str(prompt_v) if prompt_v else '',
|
||
'negative_prompt': str(neg_v) if neg_v else '',
|
||
'styles': str(styles_v) if styles_v else '[]',
|
||
'performance': str(perf_v) if perf_v else 'Speed',
|
||
'resolution': _sp_aspect_to_resolution(str(aspect_v) if aspect_v else ''),
|
||
'image_number': int(float(img_num)) if img_num is not None else 1,
|
||
'guidance_scale': float(guidance_v) if guidance_v is not None else 7.0,
|
||
'sharpness': float(sharp_v) if sharp_v is not None else 2.0,
|
||
'base_model': str(base_v) if base_v else '',
|
||
'refiner_model': str(ref_v) if ref_v else 'None',
|
||
'refiner_switch': float(ref_sw_v) if ref_sw_v is not None else 0.5,
|
||
'sampler': str(sampler_v) if sampler_v else 'dpmpp_2m_sde_gpu',
|
||
'scheduler': str(sched_v) if sched_v else 'karras',
|
||
'vae': str(vae_v) if vae_v else 'Default (model)',
|
||
'adm_guidance': f'({adm_p}, {adm_n}, {adm_e})',
|
||
'refiner_swap_method': str(ref_swap_v) if ref_swap_v else 'joint',
|
||
'adaptive_cfg': float(adap_v) if adap_v is not None else 7.0,
|
||
'clip_skip': int(float(clip_v)) if clip_v is not None else 2,
|
||
'input_image_enabled': bool(input_img_cb),
|
||
'enhance_enabled': bool(enhance_cb),
|
||
'uov_method': str(uov_m) if uov_m else flags.disabled,
|
||
}
|
||
if not seed_rnd:
|
||
try:
|
||
meta['seed'] = int(float(seed_v))
|
||
except Exception:
|
||
pass
|
||
if freeu_en:
|
||
meta['freeu'] = f'({freeu_b1_v}, {freeu_b2_v}, {freeu_s1_v}, {freeu_s2_v})'
|
||
for i in range(0, len(lora_vals), 3):
|
||
en = lora_vals[i]
|
||
nm = lora_vals[i + 1]
|
||
wt = lora_vals[i + 2]
|
||
meta[f'lora_combined_{i // 3 + 1}'] = f'{"True" if en else "False"} : {nm} : {wt}'
|
||
|
||
presets = _sp_load()
|
||
presets[n] = meta
|
||
_sp_save(presets)
|
||
choices = list(presets.keys())
|
||
print(f'[UserPreset] 保存完了: {n} / 合計{len(choices)}件 → {_USER_SP_PATH}')
|
||
return gr.update(choices=choices, value=n), f'✅ 保存しました：{n}'
|
||
except Exception as e:
|
||
import traceback
|
||
msg = traceback.format_exc()
|
||
print(f'[UserPreset] 保存エラー:\n{msg}')
|
||
return gr.update(), f'❌ 保存エラー: {e}'
|
||
|
||
def sp_do_load(name, is_gen, inpaint_m):
|
||
_no_change = [gr.update()] * 5 # input_img_cb, enhance_cb, img_panel, enhance_panel, uov_m
|
||
try:
|
||
if not name:
|
||
return [gr.update()] * len(load_data_outputs) + ['❌ プリセットを選択してください'] + _no_change
|
||
presets = _sp_load()
|
||
if name not in presets:
|
||
return [gr.update()] * len(load_data_outputs) + [f'❌ 「{name}」が見つかりません'] + _no_change
|
||
meta = presets[name]
|
||
result = modules.meta_parser.load_parameter_button_click(meta, is_gen, inpaint_m)
|
||
print(f'[UserPreset] 読込完了: {name}')
|
||
# 追加フィールド: 入力画像 / 強化 / UoV メソッド
|
||
img_en = bool(meta.get('input_image_enabled', False))
|
||
enh_en = bool(meta.get('enhance_enabled', False))
|
||
uov_val = meta.get('uov_method', flags.disabled)
|
||
return (result
|
||
+ [f'✅ 読み込みました：{name}']
|
||
+ [gr.update(value=img_en),
|
||
gr.update(value=enh_en),
|
||
gr.update(visible=img_en),
|
||
gr.update(visible=enh_en),
|
||
gr.update(value=uov_val)])
|
||
except Exception as e:
|
||
import traceback
|
||
msg = traceback.format_exc()
|
||
print(f'[UserPreset] 読込エラー:\n{msg}')
|
||
return [gr.update()] * len(load_data_outputs) + [f'❌ 読込エラー: {e}'] + _no_change
|
||
|
||
def sp_do_delete(name):
|
||
try:
|
||
if not name:
|
||
return gr.update(), '❌ プリセットを選択してください'
|
||
presets = _sp_load()
|
||
if name not in presets:
|
||
return gr.update(), f'❌ 「{name}」が見つかりません'
|
||
del presets[name]
|
||
_sp_save(presets)
|
||
choices = list(presets.keys())
|
||
return gr.update(choices=choices, value=choices[0] if choices else None), f'🗑️ 削除しました：{name}'
|
||
except Exception as e:
|
||
return gr.update(), f'❌ 削除エラー: {e}'
|
||
|
||
def sp_refresh_dropdown():
|
||
choices = list(_sp_load().keys())
|
||
return gr.update(choices=choices, value=choices[0] if choices else None)
|
||
|
||
shared.gradio_root.load(fn=sp_refresh_dropdown, inputs=[], outputs=[user_sp_dropdown],
|
||
queue=False, show_progress=False)
|
||
|
||
user_sp_save_btn.click(
|
||
fn=sp_do_save,
|
||
inputs=_sp_save_inputs,
|
||
outputs=[user_sp_dropdown, user_sp_status],
|
||
queue=False, show_progress=False)
|
||
|
||
user_sp_load_btn.click(
|
||
fn=sp_do_load,
|
||
inputs=[user_sp_dropdown, state_is_generating, inpaint_mode],
|
||
outputs=load_data_outputs + [user_sp_status,
|
||
input_image_checkbox, enhance_checkbox,
|
||
image_input_panel, enhance_input_panel, uov_method],
|
||
queue=False, show_progress=True) \
|
||
.then(fn=style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False) \
|
||
.then(lambda: None, _js='()=>{refresh_style_localization();}')
|
||
|
||
user_sp_delete_btn.click(
|
||
fn=sp_do_delete,
|
||
inputs=[user_sp_dropdown],
|
||
outputs=[user_sp_dropdown, user_sp_status],
|
||
queue=False, show_progress=False)
|
||
|
||
# ── ブラッシュアップ & OpenCV エディット イベント ──
|
||
_brushup_outputs = [
|
||
uov_input_image, uov_method, input_image_checkbox, image_input_panel,
|
||
image_input_tabs, current_tab,
|
||
]
|
||
_brushup_select_outputs = [
|
||
brushup_selected, brushup_original, brushup_status_html,
|
||
brushup_btn_col, edit_panel, edit_preview,
|
||
]
|
||
|
||
def on_brushup_select(evt: gr.SelectData, paths_state):
|
||
# Gradio 3.41.2: evt.value = caption (usually None), evt.index = int index
|
||
_hide = gr.update(visible=False)
|
||
_fail = (None, None,
|
||
'<span style="color:#5a5a7a;font-size:11px;font-family:monospace;">'
|
||
'💡 ギャラリーの画像をクリックして選択</span>',
|
||
_hide, _hide, None)
|
||
try:
|
||
idx = evt.index
|
||
if not (paths_state and isinstance(idx, int) and 0 <= idx < len(paths_state)):
|
||
return _fail
|
||
path = paths_state[idx]
|
||
if not (isinstance(path, str) and os.path.exists(path)):
|
||
return _fail
|
||
from PIL import Image as PILImage
|
||
import numpy as np
|
||
from modules.image_editor import resize_for_preview as _rfp
|
||
arr = np.array(PILImage.open(path).convert('RGB'))
|
||
h, w = arr.shape[:2]
|
||
fname = os.path.basename(path)
|
||
html = (f'<span style="color:#7fffb0;font-size:11px;font-family:monospace;">'
|
||
f'✓ {fname} ({w}×{h}px) — 方法を選択 または ↓ で編集</span>')
|
||
preview = _rfp(arr, 768)
|
||
return arr, arr, html, gr.update(visible=True), gr.update(visible=True), preview
|
||
except Exception as e:
|
||
return (None, None,
|
||
f'<span style="color:#ff7c7c;font-size:11px;">❌ {e}</span>',
|
||
_hide, _hide, None)
|
||
|
||
gallery.select(fn=on_brushup_select, inputs=[gallery_paths], outputs=_brushup_select_outputs, queue=False, show_progress=False)
|
||
progress_gallery.select(fn=on_brushup_select, inputs=[gallery_paths], outputs=_brushup_select_outputs, queue=False, show_progress=False)
|
||
|
||
def do_brushup(img, method):
|
||
if img is None:
|
||
return (gr.update(), gr.update(), gr.update(), gr.update(visible=False),
|
||
gr.update(), gr.update())
|
||
return (img, method, True, gr.update(visible=True),
|
||
gr.update(selected='uov_tab'), 'uov')
|
||
|
||
_scroll_js = '() => { setTimeout(function(){ var el=document.getElementById("image_input_panel"); if(!el) el=document.querySelector(".image_input_panel"); if(el) el.scrollIntoView({behavior:"smooth",block:"start"}); }, 200); return []; }'
|
||
|
||
brushup_subtle_btn.click(
|
||
fn=lambda img: do_brushup(img, flags.subtle_variation),
|
||
inputs=[brushup_selected], outputs=_brushup_outputs, queue=False, show_progress=False
|
||
).then(fn=lambda: None, _js=_scroll_js)
|
||
|
||
brushup_strong_btn.click(
|
||
fn=lambda img: do_brushup(img, flags.strong_variation),
|
||
inputs=[brushup_selected], outputs=_brushup_outputs, queue=False, show_progress=False
|
||
).then(fn=lambda: None, _js=_scroll_js)
|
||
|
||
brushup_upscale_btn.click(
|
||
fn=lambda img: do_brushup(img, flags.upscale_2),
|
||
inputs=[brushup_selected], outputs=_brushup_outputs, queue=False, show_progress=False
|
||
).then(fn=lambda: None, _js=_scroll_js)
|
||
|
||
brushup_gen_btn.click(
|
||
fn=lambda img: do_brushup(img, flags.subtle_variation),
|
||
inputs=[brushup_selected], outputs=_brushup_outputs, queue=False, show_progress=False
|
||
).then(fn=lambda: None, _js='() => { setTimeout(function(){ var b=document.getElementById("generate_button"); if(b&&!b.disabled)b.click(); },600); return []; }')
|
||
|
||
# ── OpenCV エディター イベント ──
|
||
from modules.image_editor import apply_adjustments, resize_for_preview, rotate_image, flip_image
|
||
|
||
# プリセット定義: (brightness, contrast, saturation, hue, temperature, sharpness)
|
||
_PRESETS = {
|
||
'vivid': (10, 1.25, 1.6, 0, 0, 1.3),
|
||
'cinema': (-8, 1.35, 0.7, 0, 15, 1.0),
|
||
'warm': (12, 1.05, 1.2, 0, 40, 1.0),
|
||
'cool': (0, 1.1, 0.85, 0, -40, 1.0),
|
||
'soft': (8, 0.88, 0.88, 0, 0, 0.4),
|
||
}
|
||
|
||
# スライダーの入力リスト (順番をそろえる)
|
||
_edit_inputs = [brushup_original,
|
||
edit_brightness, edit_contrast, edit_saturation,
|
||
edit_hue, edit_temperature, edit_sharpness]
|
||
_slider_outputs = [edit_brightness, edit_contrast, edit_saturation,
|
||
edit_hue, edit_temperature, edit_sharpness]
|
||
|
||
def _update_preview(orig, brightness, contrast, saturation, hue_shift, temperature, sharpness):
|
||
small = resize_for_preview(orig, 768)
|
||
return apply_adjustments(small, brightness=brightness, contrast=contrast,
|
||
saturation=saturation, hue_shift=hue_shift,
|
||
sharpness=sharpness, temperature=temperature)
|
||
|
||
# スライダー変更 → リアルタイムプレビュー
|
||
for _sl in [edit_brightness, edit_contrast, edit_saturation, edit_hue, edit_temperature, edit_sharpness]:
|
||
_sl.change(fn=_update_preview, inputs=_edit_inputs, outputs=edit_preview,
|
||
queue=False, show_progress=False)
|
||
|
||
# リセット
|
||
def _reset_edit(orig):
|
||
preview = resize_for_preview(orig, 768)
|
||
return 0, 1.0, 1.0, 0, 0, 1.0, preview
|
||
|
||
edit_reset_btn.click(
|
||
fn=_reset_edit, inputs=[brushup_original],
|
||
outputs=_slider_outputs + [edit_preview],
|
||
queue=False, show_progress=False
|
||
)
|
||
|
||
# 適用 → brushup_selected を編集版に更新
|
||
def _apply_edit(orig, brightness, contrast, saturation, hue_shift, temperature, sharpness):
|
||
edited = apply_adjustments(orig, brightness=brightness, contrast=contrast,
|
||
saturation=saturation, hue_shift=hue_shift,
|
||
sharpness=sharpness, temperature=temperature)
|
||
if edited is None:
|
||
return gr.update(), gr.update()
|
||
preview = resize_for_preview(edited, 768)
|
||
return edited, preview
|
||
|
||
edit_apply_btn.click(
|
||
fn=_apply_edit, inputs=_edit_inputs,
|
||
outputs=[brushup_selected, edit_preview],
|
||
queue=False, show_progress=False
|
||
)
|
||
|
||
# ── プリセット ──────────────────────────────
|
||
def _apply_preset(key, orig):
|
||
br, ct, sat, hue, temp, sharp = _PRESETS[key]
|
||
preview = _update_preview(orig, br, ct, sat, hue, temp, sharp)
|
||
return br, ct, sat, hue, temp, sharp, preview
|
||
|
||
_preset_outs = _slider_outputs + [edit_preview]
|
||
edit_preset_vivid.click( fn=lambda o: _apply_preset('vivid', o), inputs=[brushup_original], outputs=_preset_outs, queue=False, show_progress=False)
|
||
edit_preset_cinema.click(fn=lambda o: _apply_preset('cinema', o), inputs=[brushup_original], outputs=_preset_outs, queue=False, show_progress=False)
|
||
edit_preset_warm.click( fn=lambda o: _apply_preset('warm', o), inputs=[brushup_original], outputs=_preset_outs, queue=False, show_progress=False)
|
||
edit_preset_cool.click( fn=lambda o: _apply_preset('cool', o), inputs=[brushup_original], outputs=_preset_outs, queue=False, show_progress=False)
|
||
edit_preset_soft.click( fn=lambda o: _apply_preset('soft', o), inputs=[brushup_original], outputs=_preset_outs, queue=False, show_progress=False)
|
||
|
||
# ── 回転・反転 ──────────────────────────────
|
||
_transform_inputs = [brushup_original] + _slider_outputs
|
||
_transform_outputs = [brushup_original, edit_preview]
|
||
|
||
def _do_rotate(orig, brightness, contrast, saturation, hue_shift, temperature, sharpness, deg):
|
||
rotated = rotate_image(orig, deg)
|
||
if rotated is None:
|
||
return gr.update(), gr.update()
|
||
return rotated, _update_preview(rotated, brightness, contrast, saturation, hue_shift, temperature, sharpness)
|
||
|
||
def _do_flip(orig, brightness, contrast, saturation, hue_shift, temperature, sharpness, direction):
|
||
flipped = flip_image(orig, direction)
|
||
if flipped is None:
|
||
return gr.update(), gr.update()
|
||
return flipped, _update_preview(flipped, brightness, contrast, saturation, hue_shift, temperature, sharpness)
|
||
|
||
edit_rot_l.click( fn=lambda *a: _do_rotate(*a, 270), inputs=_transform_inputs, outputs=_transform_outputs, queue=False, show_progress=False)
|
||
edit_rot_r.click( fn=lambda *a: _do_rotate(*a, 90), inputs=_transform_inputs, outputs=_transform_outputs, queue=False, show_progress=False)
|
||
edit_flip_h.click(fn=lambda *a: _do_flip(*a, 'h'), inputs=_transform_inputs, outputs=_transform_outputs, queue=False, show_progress=False)
|
||
edit_flip_v.click(fn=lambda *a: _do_flip(*a, 'v'), inputs=_transform_inputs, outputs=_transform_outputs, queue=False, show_progress=False)
|
||
|
||
# ── Before / After ─────────────────────────
|
||
edit_ba_btn.click(
|
||
fn=lambda orig: resize_for_preview(orig, 768),
|
||
inputs=[brushup_original], outputs=edit_preview,
|
||
queue=False, show_progress=False
|
||
)
|
||
|
||
performance_selection.change(lambda x: [gr.update(interactive=not flags.Performance.has_restricted_features(x))] * 11 +
|
||
[gr.update(visible=not flags.Performance.has_restricted_features(x))] * 1 +
|
||
[gr.update(value=flags.Performance.has_restricted_features(x))] * 1,
|
||
inputs=performance_selection,
|
||
outputs=[
|
||
guidance_scale, sharpness, adm_scaler_end, adm_scaler_positive,
|
||
adm_scaler_negative, refiner_switch, refiner_model, sampler_name,
|
||
scheduler_name, adaptive_cfg, refiner_swap_method, negative_prompt, disable_intermediate_results
|
||
], queue=False, show_progress=False)
|
||
|
||
output_format.input(lambda x: gr.update(output_format=x), inputs=output_format)
|
||
|
||
advanced_checkbox.change(lambda x: gr.update(visible=x), advanced_checkbox, advanced_column,
|
||
queue=False, show_progress=False) \
|
||
.then(fn=lambda: None, _js='refresh_grid_delayed', queue=False, show_progress=False)
|
||
|
||
inpaint_mode.change(inpaint_mode_change, inputs=[inpaint_mode, inpaint_engine_state], outputs=[
|
||
inpaint_additional_prompt, outpaint_selections, example_inpaint_prompts,
|
||
inpaint_disable_initial_latent, inpaint_engine,
|
||
inpaint_strength, inpaint_respective_field
|
||
], show_progress=False, queue=False)
|
||
|
||
# load configured default_inpaint_method
|
||
default_inpaint_ctrls = [inpaint_mode, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field]
|
||
for mode, disable_initial_latent, engine, strength, respective_field in [default_inpaint_ctrls] + enhance_inpaint_update_ctrls:
|
||
shared.gradio_root.load(inpaint_mode_change, inputs=[mode, inpaint_engine_state], outputs=[
|
||
inpaint_additional_prompt, outpaint_selections, example_inpaint_prompts, disable_initial_latent,
|
||
engine, strength, respective_field
|
||
], show_progress=False, queue=False)
|
||
|
||
generate_mask_button.click(fn=generate_mask,
|
||
inputs=[inpaint_input_image, inpaint_mask_model, inpaint_mask_cloth_category,
|
||
inpaint_mask_dino_prompt_text, inpaint_mask_sam_model,
|
||
inpaint_mask_box_threshold, inpaint_mask_text_threshold,
|
||
inpaint_mask_sam_max_detections, dino_erode_or_dilate, debugging_dino],
|
||
outputs=inpaint_mask_image, show_progress=True, queue=True)
|
||
|
||
ctrls = [currentTask, generate_image_grid]
|
||
ctrls += [
|
||
prompt, negative_prompt, style_selections,
|
||
performance_selection, aspect_ratios_selection, image_number, output_format, image_seed,
|
||
read_wildcards_in_order, sharpness, guidance_scale
|
||
]
|
||
|
||
ctrls += [base_model, refiner_model, refiner_switch] + lora_ctrls
|
||
ctrls += [input_image_checkbox, current_tab]
|
||
ctrls += [uov_method, uov_input_image]
|
||
ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image]
|
||
ctrls += [disable_preview, disable_intermediate_results, disable_seed_increment, black_out_nsfw]
|
||
ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, clip_skip]
|
||
ctrls += [sampler_name, scheduler_name, vae_name]
|
||
ctrls += [overwrite_step, overwrite_switch, overwrite_width, overwrite_height, overwrite_vary_strength]
|
||
ctrls += [overwrite_upscale_strength, mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint]
|
||
ctrls += [debugging_cn_preprocessor, skipping_cn_preprocessor, canny_low_threshold, canny_high_threshold]
|
||
ctrls += [refiner_swap_method, controlnet_softness]
|
||
ctrls += freeu_ctrls
|
||
ctrls += inpaint_ctrls
|
||
|
||
if not args_manager.args.disable_image_log:
|
||
ctrls += [save_final_enhanced_image_only]
|
||
|
||
if not args_manager.args.disable_metadata:
|
||
ctrls += [save_metadata_to_images, metadata_scheme]
|
||
|
||
ctrls += ip_ctrls
|
||
ctrls += [debugging_dino, dino_erode_or_dilate, debugging_enhance_masks_checkbox,
|
||
enhance_input_image, enhance_checkbox, enhance_uov_method, enhance_uov_processing_order,
|
||
enhance_uov_prompt_type]
|
||
ctrls += enhance_ctrls
|
||
|
||
def parse_meta(raw_prompt_txt, is_generating):
|
||
loaded_json = None
|
||
if is_json(raw_prompt_txt):
|
||
loaded_json = json.loads(raw_prompt_txt)
|
||
|
||
if loaded_json is None:
|
||
if is_generating:
|
||
return gr.update(), gr.update(), gr.update()
|
||
else:
|
||
return gr.update(), gr.update(visible=True), gr.update(visible=False)
|
||
|
||
return json.dumps(loaded_json), gr.update(visible=False), gr.update(visible=True)
|
||
|
||
prompt.input(parse_meta, inputs=[prompt, state_is_generating], outputs=[prompt, generate_button, load_parameter_button], queue=False, show_progress=False)
|
||
|
||
load_parameter_button.click(modules.meta_parser.load_parameter_button_click, inputs=[prompt, state_is_generating, inpaint_mode], outputs=load_data_outputs, queue=False, show_progress=False)
|
||
|
||
def trigger_metadata_import(file, state_is_generating):
|
||
parameters, metadata_scheme = modules.meta_parser.read_info_from_image(file)
|
||
if parameters is None:
|
||
print('画像にメタデータが見つかりませんでした。')
|
||
parsed_parameters = {}
|
||
else:
|
||
metadata_parser = modules.meta_parser.get_metadata_parser(metadata_scheme)
|
||
parsed_parameters = metadata_parser.to_json(parameters)
|
||
|
||
return modules.meta_parser.load_parameter_button_click(parsed_parameters, state_is_generating, inpaint_mode)
|
||
|
||
metadata_import_button.click(trigger_metadata_import, inputs=[metadata_input_image, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=True) \
|
||
.then(style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False)
|
||
|
||
generate_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), [], True),
|
||
outputs=[stop_button, skip_button, generate_button, gallery, state_is_generating]) \
|
||
.then(fn=refresh_seed, inputs=[seed_random, image_seed], outputs=image_seed) \
|
||
.then(fn=get_task, inputs=ctrls, outputs=currentTask) \
|
||
.then(fn=generate_clicked, inputs=currentTask, outputs=[progress_html, progress_window, progress_gallery, gallery, gallery_paths]) \
|
||
.then(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), gr.update(visible=False, interactive=False), False),
|
||
outputs=[generate_button, stop_button, skip_button, state_is_generating]) \
|
||
.then(fn=update_history_link, outputs=history_link) \
|
||
.then(fn=lambda: None, _js='playNotification').then(fn=lambda: None, _js='refresh_grid_delayed')
|
||
|
||
reset_button.click(lambda: [worker.AsyncTask(args=[]), False, gr.update(visible=True, interactive=True)] +
|
||
[gr.update(visible=False)] * 6 +
|
||
[gr.update(visible=True, value=[])],
|
||
outputs=[currentTask, state_is_generating, generate_button,
|
||
reset_button, stop_button, skip_button,
|
||
progress_html, progress_window, progress_gallery, gallery],
|
||
queue=False)
|
||
|
||
for notification_file in ['notification.ogg', 'notification.mp3']:
|
||
if os.path.exists(notification_file):
|
||
gr.Audio(interactive=False, value=notification_file, elem_id='audio_notification', visible=False)
|
||
break
|
||
|
||
def trigger_describe(modes, img, apply_styles):
|
||
describe_prompts = []
|
||
styles = set()
|
||
|
||
if flags.describe_type_photo in modes:
|
||
from extras.interrogate import default_interrogator as default_interrogator_photo
|
||
describe_prompts.append(default_interrogator_photo(img))
|
||
styles.update(["Fooocus V2", "Fooocus Enhance", "Fooocus Sharp"])
|
||
|
||
if flags.describe_type_anime in modes:
|
||
from extras.wd14tagger import default_interrogator as default_interrogator_anime
|
||
describe_prompts.append(default_interrogator_anime(img))
|
||
styles.update(["Fooocus V2", "Fooocus Masterpiece"])
|
||
|
||
if len(styles) == 0 or not apply_styles:
|
||
styles = gr.update()
|
||
else:
|
||
styles = list(styles)
|
||
|
||
if len(describe_prompts) == 0:
|
||
describe_prompt = gr.update()
|
||
else:
|
||
describe_prompt = ', '.join(describe_prompts)
|
||
|
||
return describe_prompt, styles
|
||
|
||
describe_btn.click(trigger_describe, inputs=[describe_methods, describe_input_image, describe_apply_styles],
|
||
outputs=[prompt, style_selections], show_progress=True, queue=True) \
|
||
.then(fn=style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False) \
|
||
.then(lambda: None, _js='()=>{refresh_style_localization();}')
|
||
|
||
# ── Prompt Forge 統合：postMessage リスナー ──
|
||
shared.gradio_root.load(
|
||
fn=lambda: None, inputs=[], outputs=[],
|
||
queue=False, show_progress=False,
|
||
_js="""
|
||
function() {
|
||
if (window._pfListenerAdded) return [];
|
||
window._pfListenerAdded = true;
|
||
|
||
// React管理のtextareaに値をセットしてイベントを発火する
|
||
function pfSetTextarea(selector, value) {
|
||
var el = document.querySelector(selector);
|
||
if (!el) return false;
|
||
try {
|
||
var nativeSetter = Object.getOwnPropertyDescriptor(window.HTMLTextAreaElement.prototype, 'value').set;
|
||
nativeSetter.call(el, value);
|
||
} catch(e) {
|
||
el.value = value;
|
||
}
|
||
el.dispatchEvent(new Event('input', {bubbles: true}));
|
||
el.dispatchEvent(new Event('change', {bubbles: true}));
|
||
return true;
|
||
}
|
||
|
||
// 転送後、テキストエリアをハイライト（緑フラッシュ）
|
||
function pfFlash(selector) {
|
||
var el = document.querySelector(selector);
|
||
if (!el) return;
|
||
el.style.transition = 'box-shadow 0.15s ease';
|
||
el.style.boxShadow = '0 0 0 3px rgba(100,255,150,0.7)';
|
||
setTimeout(function() { el.style.boxShadow = ''; }, 1000);
|
||
}
|
||
|
||
// アコーディオンを閉じる（複数のセレクタを試みる）
|
||
function pfCloseAccordion() {
|
||
var btn = document.querySelector('#pf_accordion button[aria-expanded="true"]');
|
||
if (!btn) btn = document.querySelector('#pf_accordion .toggle-icon[aria-expanded="true"]');
|
||
if (!btn) btn = document.querySelector('#pf_accordion > button:first-child');
|
||
if (btn) {
|
||
try { btn.click(); } catch(e) {}
|
||
}
|
||
}
|
||
|
||
window.addEventListener('message', function(ev) {
|
||
if (!ev.data || ev.data.type !== 'pf_send') return;
|
||
|
||
// アコーディオンを閉じる
|
||
pfCloseAccordion();
|
||
|
||
// positive_prompt を更新
|
||
var posOk = pfSetTextarea('#positive_prompt textarea', ev.data.pos || '');
|
||
|
||
// negative_prompt を更新（Settingsタブが閉じていてもGradioはDOMに保持する）
|
||
pfSetTextarea('#negative_prompt textarea', ev.data.neg || '');
|
||
|
||
// フォーカス＆フラッシュ
|
||
setTimeout(function() {
|
||
var posEl = document.querySelector('#positive_prompt textarea');
|
||
if (posEl) {
|
||
posEl.focus();
|
||
posEl.scrollIntoView({behavior: 'smooth', block: 'center'});
|
||
}
|
||
pfFlash('#positive_prompt textarea');
|
||
}, 150);
|
||
|
||
// 生成ボタン自動クリック
|
||
if (ev.data.generate) {
|
||
setTimeout(function() {
|
||
var btn = document.getElementById('generate_button');
|
||
if (btn) btn.click();
|
||
}, 600);
|
||
}
|
||
});
|
||
return [];
|
||
}
|
||
"""
|
||
)
|
||
|
||
if args_manager.args.enable_auto_describe_image:
|
||
def trigger_auto_describe(mode, img, prompt, apply_styles):
|
||
# keep prompt if not empty
|
||
if prompt == '':
|
||
return trigger_describe(mode, img, apply_styles)
|
||
return gr.update(), gr.update()
|
||
|
||
uov_input_image.upload(trigger_auto_describe, inputs=[describe_methods, uov_input_image, prompt, describe_apply_styles],
|
||
outputs=[prompt, style_selections], show_progress=True, queue=True) \
|
||
.then(fn=style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False) \
|
||
.then(lambda: None, _js='()=>{refresh_style_localization();}')
|
||
|
||
enhance_input_image.upload(lambda: gr.update(value=True), outputs=enhance_checkbox, queue=False, show_progress=False) \
|
||
.then(trigger_auto_describe, inputs=[describe_methods, enhance_input_image, prompt, describe_apply_styles],
|
||
outputs=[prompt, style_selections], show_progress=True, queue=True) \
|
||
.then(fn=style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False) \
|
||
.then(lambda: None, _js='()=>{refresh_style_localization();}')
|
||
|
||
def dump_default_english_config():
|
||
from modules.localization import dump_english_config
|
||
dump_english_config(grh.all_components)
|
||
|
||
|
||
# dump_default_english_config()
|
||
|
||
# ── Prompt Forge ブリッジサーバーを起動 ──
|
||
try:
|
||
import prompt_forge_bridge
|
||
prompt_forge_bridge.start_bridge()
|
||
except Exception as _pf_err:
|
||
print(f'[PromptForge] ブリッジ起動失敗: {_pf_err}')
|
||
|
||
shared.gradio_root.launch(
|
||
inbrowser=args_manager.args.in_browser,
|
||
server_name=args_manager.args.listen,
|
||
server_port=args_manager.args.port,
|
||
share=args_manager.args.share,
|
||
auth=check_auth if (args_manager.args.share or args_manager.args.listen) and auth_enabled else None,
|
||
allowed_paths=[modules.config.path_outputs],
|
||
blocked_paths=[constants.AUTH_FILENAME]
|
||
)
|