import gradio as gr import yaml import os import shutil from functools import lru_cache from core.settings import * from utils.app_utils import * from core.generation_logic import * from comfy_integration.nodes import SAMPLER_CHOICES, SCHEDULER_CHOICES from utils.app_utils import save_uploaded_file_with_hash from ui.shared.ui_components import RESOLUTION_MAP, MAX_CONTROLNETS, MAX_IPADAPTERS, MAX_EMBEDDINGS, MAX_CONDITIONINGS, MAX_LORAS @lru_cache(maxsize=1) def load_controlnet_config(): _PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) _CN_MODEL_LIST_PATH = os.path.join(_PROJECT_ROOT, 'yaml', 'controlnet_models.yaml') try: print("--- Loading controlnet_models.yaml ---") with open(_CN_MODEL_LIST_PATH, 'r', encoding='utf-8') as f: config = yaml.safe_load(f) print("--- ✅ controlnet_models.yaml loaded successfully ---") return config.get("ControlNet", {}) except Exception as e: print(f"Error loading controlnet_models.yaml: {e}") return {} def get_cn_defaults(arch_val): cn_full_config = load_controlnet_config() cn_config = cn_full_config.get(arch_val, []) if not cn_config: return [], None, [], None, "None" all_types = sorted(list(set(t for model in cn_config for t in model.get("Type", [])))) default_type = all_types[0] if all_types else None series_choices = [] if default_type: series_choices = sorted(list(set(model.get("Series", "Default") for model in cn_config if default_type in model.get("Type", [])))) default_series = series_choices[0] if series_choices else None filepath = "None" if default_series and default_type: for model in cn_config: if model.get("Series") == default_series and default_type in model.get("Type", []): filepath = model.get("Filepath") break return all_types, default_type, series_choices, default_series, filepath @lru_cache(maxsize=1) def load_anima_controlnet_lllite_config(): _PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) _CN_MODEL_LIST_PATH = os.path.join(_PROJECT_ROOT, 'yaml', 'anima_controlnet_lllite_models.yaml') try: print("--- Loading anima_controlnet_lllite_models.yaml ---") with open(_CN_MODEL_LIST_PATH, 'r', encoding='utf-8') as f: config = yaml.safe_load(f) print("--- ✅ anima_controlnet_lllite_models.yaml loaded successfully ---") return config.get("Anima_ControlNet_Lllite", []) except Exception as e: print(f"Error loading anima_controlnet_lllite_models.yaml: {e}") return [] def get_anima_cn_defaults(): cn_config = load_anima_controlnet_lllite_config() if not cn_config: return [], None, [], None, "None" all_types = sorted(list(set(t for model in cn_config for t in model.get("Type", [])))) default_type = all_types[0] if all_types else None series_choices = [] if default_type: series_choices = sorted(list(set(model.get("Series", "Default") for model in cn_config if default_type in model.get("Type", [])))) default_series = series_choices[0] if series_choices else None filepath = "None" if default_series and default_type: for model in cn_config: if model.get("Series") == default_series and default_type in model.get("Type", []): filepath = model.get("Filepath") break return all_types, default_type, series_choices, default_series, filepath @lru_cache(maxsize=1) def load_diffsynth_controlnet_config(): _PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) _CN_MODEL_LIST_PATH = os.path.join(_PROJECT_ROOT, 'yaml', 'diffsynth_controlnet_models.yaml') try: print("--- Loading diffsynth_controlnet_models.yaml ---") with open(_CN_MODEL_LIST_PATH, 'r', encoding='utf-8') as f: config = yaml.safe_load(f) print("--- ✅ diffsynth_controlnet_models.yaml loaded successfully ---") return config.get("DiffSynth_ControlNet", {}) except Exception as e: print(f"Error loading diffsynth_controlnet_models.yaml: {e}") return {} def get_diffsynth_cn_defaults(arch_val): cn_full_config = load_diffsynth_controlnet_config() cn_config = cn_full_config.get(arch_val, []) if not cn_config: return [], None, [], None, "None" all_types = sorted(list(set(t for model in cn_config for t in model.get("Type", [])))) default_type = all_types[0] if all_types else None series_choices = [] if default_type: series_choices = sorted(list(set(model.get("Series", "Default") for model in cn_config if default_type in model.get("Type", [])))) default_series = series_choices[0] if series_choices else None filepath = "None" if default_series and default_type: for model in cn_config: if model.get("Series") == default_series and default_type in model.get("Type", []): filepath = model.get("Filepath") break return all_types, default_type, series_choices, default_series, filepath @lru_cache(maxsize=1) def load_ipadapter_config(): _PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) _IPA_MODEL_LIST_PATH = os.path.join(_PROJECT_ROOT, 'yaml', 'ipadapter.yaml') try: print("--- Loading ipadapter.yaml ---") with open(_IPA_MODEL_LIST_PATH, 'r', encoding='utf-8') as f: config = yaml.safe_load(f) print("--- ✅ ipadapter.yaml loaded successfully ---") return config except Exception as e: print(f"Error loading ipadapter.yaml: {e}") return {} def apply_data_to_ui(data, prefix, ui_components): final_sampler = data.get('sampler') if data.get('sampler') in SAMPLER_CHOICES else SAMPLER_CHOICES[0] default_scheduler = 'normal' if 'normal' in SCHEDULER_CHOICES else SCHEDULER_CHOICES[0] final_scheduler = data.get('scheduler') if data.get('scheduler') in SCHEDULER_CHOICES else default_scheduler updates = {} base_model_name = data.get('base_model') model_map = MODEL_MAP_CHECKPOINT if f'base_model_{prefix}' in ui_components: model_dropdown_component = ui_components[f'base_model_{prefix}'] if base_model_name and base_model_name in model_map: updates[model_dropdown_component] = base_model_name if f'model_arch_{prefix}' in ui_components: m_type = MODEL_TYPE_MAP.get(base_model_name, "SDXL") updates[ui_components[f'model_arch_{prefix}']] = m_type if f'model_cat_{prefix}' in ui_components: m_info = model_map.get(base_model_name) m_cat = m_info[4] if m_info and len(m_info) > 4 else None updates[ui_components[f'model_cat_{prefix}']] = m_cat if m_cat else "ALL" else: updates[model_dropdown_component] = gr.update() common_params = { f'prompt_{prefix}': data.get('prompt', ''), f'neg_prompt_{prefix}': data.get('negative_prompt', ''), f'seed_{prefix}': data.get('seed', -1), f'cfg_{prefix}': data.get('cfg_scale', 7.5), f'steps_{prefix}': data.get('steps', 28), f'sampler_{prefix}': final_sampler, f'scheduler_{prefix}': final_scheduler, } for comp_name, value in common_params.items(): if comp_name in ui_components: updates[ui_components[comp_name]] = value if prefix == 'txt2img': if f'width_{prefix}' in ui_components: updates[ui_components[f'width_{prefix}']] = data.get('width', 1024) if f'height_{prefix}' in ui_components: updates[ui_components[f'height_{prefix}']] = data.get('height', 1024) tab_indices = {"txt2img": 0, "img2img": 1, "inpaint": 2, "outpaint": 3, "hires_fix": 4} tab_index = tab_indices.get(prefix, 0) updates[ui_components['tabs']] = gr.Tabs(selected=tab_index) return updates def send_info_to_tab(image, prefix, ui_components): if not image or not image.info.get('parameters', ''): all_comps = [comp for comp_or_list in ui_components.values() for comp in (comp_or_list if isinstance(comp_or_list, list) else [comp_or_list])] return {comp: gr.update() for comp in all_comps} data = parse_parameters(image.info['parameters']) image_input_map = { "img2img": 'input_image_img2img', "inpaint": 'input_image_dict_inpaint', "outpaint": 'input_image_outpaint', "hires_fix": 'input_image_hires_fix' } updates = apply_data_to_ui(data, prefix, ui_components) if prefix in image_input_map and image_input_map[prefix] in ui_components: component_key = image_input_map[prefix] updates[ui_components[component_key]] = gr.update(value=image) return updates def send_info_by_hash(image, ui_components): if not image or not image.info.get('parameters', ''): all_comps = [comp for comp_or_list in ui_components.values() for comp in (comp_or_list if isinstance(comp_or_list, list) else [comp_or_list])] return {comp: gr.update() for comp in all_comps} data = parse_parameters(image.info['parameters']) return apply_data_to_ui(data, "txt2img", ui_components) def attach_event_handlers(ui_components, demo): def create_lora_event_handlers(prefix): lora_rows = ui_components.get(f'lora_rows_{prefix}') if not lora_rows: return lora_ids = ui_components[f'lora_ids_{prefix}'] lora_scales = ui_components[f'lora_scales_{prefix}'] lora_uploads = ui_components[f'lora_uploads_{prefix}'] count_state = ui_components[f'lora_count_state_{prefix}'] add_button = ui_components[f'add_lora_button_{prefix}'] del_button = ui_components[f'delete_lora_button_{prefix}'] def add_lora_row(c): updates = {} if c < MAX_LORAS: c += 1 updates[lora_rows[c - 1]] = gr.update(visible=True) updates[count_state] = c updates[add_button] = gr.update(visible=c < MAX_LORAS) updates[del_button] = gr.update(visible=c > 1) return updates def del_lora_row(c): updates = {} if c > 1: updates[lora_rows[c - 1]] = gr.update(visible=False) updates[lora_ids[c - 1]] = "" updates[lora_scales[c - 1]] = 0.0 updates[lora_uploads[c - 1]] = None c -= 1 updates[count_state] = c updates[add_button] = gr.update(visible=True) updates[del_button] = gr.update(visible=c > 1) return updates add_outputs = [count_state, add_button, del_button] + lora_rows del_outputs = [count_state, add_button, del_button] + lora_rows + lora_ids + lora_scales + lora_uploads add_button.click(add_lora_row, [count_state], add_outputs, show_progress=False) del_button.click(del_lora_row, [count_state], del_outputs, show_progress=False) def create_controlnet_event_handlers(prefix): cn_rows = ui_components.get(f'controlnet_rows_{prefix}') if not cn_rows: return cn_types = ui_components[f'controlnet_types_{prefix}'] cn_series = ui_components[f'controlnet_series_{prefix}'] cn_filepaths = ui_components[f'controlnet_filepaths_{prefix}'] cn_images = ui_components[f'controlnet_images_{prefix}'] cn_strengths = ui_components[f'controlnet_strengths_{prefix}'] count_state = ui_components[f'controlnet_count_state_{prefix}'] add_button = ui_components[f'add_controlnet_button_{prefix}'] del_button = ui_components[f'delete_controlnet_button_{prefix}'] accordion = ui_components[f'controlnet_accordion_{prefix}'] base_model_comp = ui_components.get(f'base_model_{prefix}') actual_arch_comp = base_model_comp if base_model_comp else gr.State("SDXL") def add_cn_row(c): c += 1 updates = { count_state: c, cn_rows[c-1]: gr.update(visible=True), add_button: gr.update(visible=c < MAX_CONTROLNETS), del_button: gr.update(visible=True) } return updates def del_cn_row(c): c -= 1 updates = { count_state: c, cn_rows[c]: gr.update(visible=False), cn_images[c]: None, cn_strengths[c]: 1.0, add_button: gr.update(visible=True), del_button: gr.update(visible=c > 0) } return updates add_outputs = [count_state, add_button, del_button] + cn_rows del_outputs = [count_state, add_button, del_button] + cn_rows + cn_images + cn_strengths add_button.click(fn=add_cn_row, inputs=[count_state], outputs=add_outputs, show_progress=False) del_button.click(fn=del_cn_row, inputs=[count_state], outputs=del_outputs, show_progress=False) def on_cn_type_change(selected_type, model_name): from core.settings import MODEL_TYPE_MAP m_type = MODEL_TYPE_MAP.get(model_name, "SDXL") if model_name else "SDXL" cn_full_config = load_controlnet_config() architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {}) controlnet_key = architectures_dict.get(m_type, {}).get("controlnet_key", m_type) cn_config = cn_full_config.get(controlnet_key, []) series_choices = [] if selected_type: series_choices = sorted(list(set( model.get("Series", "Default") for model in cn_config if selected_type in model.get("Type", []) ))) default_series = series_choices[0] if series_choices else None filepath = "None" if default_series: for model in cn_config: if model.get("Series") == default_series and selected_type in model.get("Type", []): filepath = model.get("Filepath") break return gr.update(choices=series_choices, value=default_series), filepath def on_cn_series_change(selected_series, selected_type, model_name): from core.settings import MODEL_TYPE_MAP m_type = MODEL_TYPE_MAP.get(model_name, "SDXL") if model_name else "SDXL" cn_full_config = load_controlnet_config() architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {}) controlnet_key = architectures_dict.get(m_type, {}).get("controlnet_key", m_type) cn_config = cn_full_config.get(controlnet_key, []) filepath = "None" if selected_series and selected_type: for model in cn_config: if model.get("Series") == selected_series and selected_type in model.get("Type", []): filepath = model.get("Filepath") break return filepath for i in range(MAX_CONTROLNETS): cn_types[i].change( fn=on_cn_type_change, inputs=[cn_types[i], actual_arch_comp], outputs=[cn_series[i], cn_filepaths[i]], show_progress=False ) cn_series[i].change( fn=on_cn_series_change, inputs=[cn_series[i], cn_types[i], actual_arch_comp], outputs=[cn_filepaths[i]], show_progress=False ) def on_accordion_expand(*images): return [gr.update() for _ in images] accordion.expand( fn=on_accordion_expand, inputs=cn_images, outputs=cn_images, show_progress=False ) def create_anima_controlnet_lllite_event_handlers(prefix): cn_rows = ui_components.get(f'anima_controlnet_lllite_rows_{prefix}') if not cn_rows: return cn_types = ui_components[f'anima_controlnet_lllite_types_{prefix}'] cn_series = ui_components[f'anima_controlnet_lllite_series_{prefix}'] cn_filepaths = ui_components[f'anima_controlnet_lllite_filepaths_{prefix}'] cn_images = ui_components[f'anima_controlnet_lllite_images_{prefix}'] cn_strengths = ui_components[f'anima_controlnet_lllite_strengths_{prefix}'] count_state = ui_components[f'anima_controlnet_lllite_count_state_{prefix}'] add_button = ui_components[f'add_anima_controlnet_lllite_button_{prefix}'] del_button = ui_components[f'delete_anima_controlnet_lllite_button_{prefix}'] accordion = ui_components[f'anima_controlnet_lllite_accordion_{prefix}'] def add_cn_row(c): c += 1 updates = { count_state: c, cn_rows[c-1]: gr.update(visible=True), add_button: gr.update(visible=c < MAX_CONTROLNETS), del_button: gr.update(visible=True) } return updates def del_cn_row(c): c -= 1 updates = { count_state: c, cn_rows[c]: gr.update(visible=False), cn_images[c]: None, cn_strengths[c]: 1.0, add_button: gr.update(visible=True), del_button: gr.update(visible=c > 0) } return updates add_outputs = [count_state, add_button, del_button] + cn_rows del_outputs = [count_state, add_button, del_button] + cn_rows + cn_images + cn_strengths add_button.click(fn=add_cn_row, inputs=[count_state], outputs=add_outputs, show_progress=False) del_button.click(fn=del_cn_row, inputs=[count_state], outputs=del_outputs, show_progress=False) def on_cn_type_change(selected_type): cn_config = load_anima_controlnet_lllite_config() series_choices = [] if selected_type: series_choices = sorted(list(set( model.get("Series", "Default") for model in cn_config if selected_type in model.get("Type", []) ))) default_series = series_choices[0] if series_choices else None filepath = "None" if default_series: for model in cn_config: if model.get("Series") == default_series and selected_type in model.get("Type", []): filepath = model.get("Filepath") break return gr.update(choices=series_choices, value=default_series), filepath def on_cn_series_change(selected_series, selected_type): cn_config = load_anima_controlnet_lllite_config() filepath = "None" if selected_series and selected_type: for model in cn_config: if model.get("Series") == selected_series and selected_type in model.get("Type", []): filepath = model.get("Filepath") break return filepath for i in range(MAX_CONTROLNETS): cn_types[i].change( fn=on_cn_type_change, inputs=[cn_types[i]], outputs=[cn_series[i], cn_filepaths[i]], show_progress=False ) cn_series[i].change( fn=on_cn_series_change, inputs=[cn_series[i], cn_types[i]], outputs=[cn_filepaths[i]], show_progress=False ) def on_accordion_expand(*images): return [gr.update() for _ in images] accordion.expand( fn=on_accordion_expand, inputs=cn_images, outputs=cn_images, show_progress=False ) def create_diffsynth_controlnet_event_handlers(prefix): cn_rows = ui_components.get(f'diffsynth_controlnet_rows_{prefix}') if not cn_rows: return cn_types = ui_components[f'diffsynth_controlnet_types_{prefix}'] cn_series = ui_components[f'diffsynth_controlnet_series_{prefix}'] cn_filepaths = ui_components[f'diffsynth_controlnet_filepaths_{prefix}'] cn_images = ui_components[f'diffsynth_controlnet_images_{prefix}'] cn_strengths = ui_components[f'diffsynth_controlnet_strengths_{prefix}'] count_state = ui_components[f'diffsynth_controlnet_count_state_{prefix}'] add_button = ui_components[f'add_diffsynth_controlnet_button_{prefix}'] del_button = ui_components[f'delete_diffsynth_controlnet_button_{prefix}'] accordion = ui_components[f'diffsynth_controlnet_accordion_{prefix}'] base_model_comp = ui_components.get(f'base_model_{prefix}') actual_arch_comp = base_model_comp if base_model_comp else gr.State("SDXL") def add_cn_row(c): c += 1 updates = { count_state: c, cn_rows[c-1]: gr.update(visible=True), add_button: gr.update(visible=c < MAX_CONTROLNETS), del_button: gr.update(visible=True) } return updates def del_cn_row(c): c -= 1 updates = { count_state: c, cn_rows[c]: gr.update(visible=False), cn_images[c]: None, cn_strengths[c]: 1.0, add_button: gr.update(visible=True), del_button: gr.update(visible=c > 0) } return updates add_outputs = [count_state, add_button, del_button] + cn_rows del_outputs = [count_state, add_button, del_button] + cn_rows + cn_images + cn_strengths add_button.click(fn=add_cn_row, inputs=[count_state], outputs=add_outputs, show_progress=False) del_button.click(fn=del_cn_row, inputs=[count_state], outputs=del_outputs, show_progress=False) def on_cn_type_change(selected_type, model_name): from core.settings import MODEL_TYPE_MAP m_type = MODEL_TYPE_MAP.get(model_name, "SDXL") if model_name else "SDXL" cn_full_config = load_diffsynth_controlnet_config() architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {}) controlnet_key = architectures_dict.get(m_type, {}).get("controlnet_key", m_type) cn_config = cn_full_config.get(controlnet_key, []) series_choices = [] if selected_type: series_choices = sorted(list(set( model.get("Series", "Default") for model in cn_config if selected_type in model.get("Type", []) ))) default_series = series_choices[0] if series_choices else None filepath = "None" if default_series: for model in cn_config: if model.get("Series") == default_series and selected_type in model.get("Type", []): filepath = model.get("Filepath") break return gr.update(choices=series_choices, value=default_series), filepath def on_cn_series_change(selected_series, selected_type, model_name): from core.settings import MODEL_TYPE_MAP m_type = MODEL_TYPE_MAP.get(model_name, "SDXL") if model_name else "SDXL" cn_full_config = load_diffsynth_controlnet_config() architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {}) controlnet_key = architectures_dict.get(m_type, {}).get("controlnet_key", m_type) cn_config = cn_full_config.get(controlnet_key, []) filepath = "None" if selected_series and selected_type: for model in cn_config: if model.get("Series") == selected_series and selected_type in model.get("Type", []): filepath = model.get("Filepath") break return filepath for i in range(MAX_CONTROLNETS): cn_types[i].change( fn=on_cn_type_change, inputs=[cn_types[i], actual_arch_comp], outputs=[cn_series[i], cn_filepaths[i]], show_progress=False ) cn_series[i].change( fn=on_cn_series_change, inputs=[cn_series[i], cn_types[i], actual_arch_comp], outputs=[cn_filepaths[i]], show_progress=False ) def on_accordion_expand(*images): return [gr.update() for _ in images] accordion.expand( fn=on_accordion_expand, inputs=cn_images, outputs=cn_images, show_progress=False ) def create_flux1_ipadapter_event_handlers(prefix): fipa_rows = ui_components.get(f'flux1_ipadapter_rows_{prefix}') if not fipa_rows: return count_state = ui_components[f'flux1_ipadapter_count_state_{prefix}'] add_button = ui_components[f'add_flux1_ipadapter_button_{prefix}'] del_button = ui_components[f'delete_flux1_ipadapter_button_{prefix}'] def add_fipa_row(c): c += 1 return { count_state: c, fipa_rows[c - 1]: gr.update(visible=True), add_button: gr.update(visible=c < MAX_IPADAPTERS), del_button: gr.update(visible=True), } def del_fipa_row(c): c -= 1 return { count_state: c, fipa_rows[c]: gr.update(visible=False), add_button: gr.update(visible=True), del_button: gr.update(visible=c > 0), } add_outputs = [count_state, add_button, del_button] + fipa_rows del_outputs = [count_state, add_button, del_button] + fipa_rows add_button.click(fn=add_fipa_row, inputs=[count_state], outputs=add_outputs, show_progress=False) del_button.click(fn=del_fipa_row, inputs=[count_state], outputs=del_outputs, show_progress=False) def create_style_event_handlers(prefix): style_rows = ui_components.get(f'style_rows_{prefix}') if not style_rows: return count_state = ui_components[f'style_count_state_{prefix}'] add_button = ui_components[f'add_style_button_{prefix}'] del_button = ui_components[f'delete_style_button_{prefix}'] def add_style_row(c): c += 1 return { count_state: c, style_rows[c - 1]: gr.update(visible=True), add_button: gr.update(visible=c < 5), del_button: gr.update(visible=True), } def del_style_row(c): c -= 1 return { count_state: c, style_rows[c]: gr.update(visible=False), add_button: gr.update(visible=True), del_button: gr.update(visible=c > 0), } add_outputs = [count_state, add_button, del_button] + style_rows del_outputs = [count_state, add_button, del_button] + style_rows add_button.click(fn=add_style_row, inputs=[count_state], outputs=add_outputs, show_progress=False) del_button.click(fn=del_style_row, inputs=[count_state], outputs=del_outputs, show_progress=False) def create_ipadapter_event_handlers(prefix): ipa_rows = ui_components.get(f'ipadapter_rows_{prefix}') if not ipa_rows: return ipa_lora_strengths = ui_components[f'ipadapter_lora_strengths_{prefix}'] ipa_final_preset = ui_components[f'ipadapter_final_preset_{prefix}'] ipa_final_lora_strength = ui_components[f'ipadapter_final_lora_strength_{prefix}'] count_state = ui_components[f'ipadapter_count_state_{prefix}'] add_button = ui_components[f'add_ipadapter_button_{prefix}'] del_button = ui_components[f'delete_ipadapter_button_{prefix}'] accordion = ui_components[f'ipadapter_accordion_{prefix}'] def add_ipa_row(c): c += 1 return { count_state: c, ipa_rows[c - 1]: gr.update(visible=True), add_button: gr.update(visible=c < MAX_IPADAPTERS), del_button: gr.update(visible=True), } def del_ipa_row(c): c -= 1 return { count_state: c, ipa_rows[c]: gr.update(visible=False), add_button: gr.update(visible=True), del_button: gr.update(visible=c > 0), } add_outputs = [count_state, add_button, del_button] + ipa_rows del_outputs = [count_state, add_button, del_button] + ipa_rows add_button.click(fn=add_ipa_row, inputs=[count_state], outputs=add_outputs, show_progress=False) del_button.click(fn=del_ipa_row, inputs=[count_state], outputs=del_outputs, show_progress=False) def on_preset_change(preset_value): config = load_ipadapter_config() faceid_presets = [] if config: faceid_presets.extend(config.get("IPAdapter_FaceID_presets", {}).get("SDXL", [])) faceid_presets.extend(config.get("IPAdapter_FaceID_presets", {}).get("SD1.5", [])) is_visible = preset_value in faceid_presets updates = [gr.update(visible=is_visible)] * (MAX_IPADAPTERS + 1) return updates all_lora_strength_sliders = [ipa_final_lora_strength] + ipa_lora_strengths ipa_final_preset.change(fn=on_preset_change, inputs=[ipa_final_preset], outputs=all_lora_strength_sliders, show_progress=False) accordion.expand(fn=lambda *imgs: [gr.update() for _ in imgs], inputs=ui_components[f'ipadapter_images_{prefix}'], outputs=ui_components[f'ipadapter_images_{prefix}'], show_progress=False) def create_reference_latent_event_handlers(prefix): ref_rows = ui_components.get(f'reference_latent_rows_{prefix}') if not ref_rows: return count_state = ui_components[f'reference_latent_count_state_{prefix}'] add_button = ui_components[f'add_reference_latent_button_{prefix}'] del_button = ui_components[f'delete_reference_latent_button_{prefix}'] images = ui_components[f'reference_latent_images_{prefix}'] def add_ref_row(c): c += 1 return { count_state: c, ref_rows[c - 1]: gr.update(visible=True), add_button: gr.update(visible=c < 10), del_button: gr.update(visible=True), } def del_ref_row(c): c -= 1 return { count_state: c, ref_rows[c]: gr.update(visible=False), images[c]: None, add_button: gr.update(visible=True), del_button: gr.update(visible=c > 0), } add_outputs = [count_state, add_button, del_button] + ref_rows del_outputs = [count_state, add_button, del_button] + ref_rows + images add_button.click(fn=add_ref_row, inputs=[count_state], outputs=add_outputs, show_progress=False) del_button.click(fn=del_ref_row, inputs=[count_state], outputs=del_outputs, show_progress=False) def create_embedding_event_handlers(prefix): rows = ui_components.get(f'embedding_rows_{prefix}') if not rows: return ids = ui_components[f'embeddings_ids_{prefix}'] files = ui_components[f'embeddings_files_{prefix}'] count_state = ui_components[f'embedding_count_state_{prefix}'] add_button = ui_components[f'add_embedding_button_{prefix}'] del_button = ui_components[f'delete_embedding_button_{prefix}'] def add_row(c): c += 1 return { count_state: c, rows[c - 1]: gr.update(visible=True), add_button: gr.update(visible=c < MAX_EMBEDDINGS), del_button: gr.update(visible=True) } def del_row(c): c -= 1 return { count_state: c, rows[c]: gr.update(visible=False), ids[c]: "", files[c]: None, add_button: gr.update(visible=True), del_button: gr.update(visible=c > 0) } add_outputs = [count_state, add_button, del_button] + rows del_outputs = [count_state, add_button, del_button] + rows + ids + files add_button.click(fn=add_row, inputs=[count_state], outputs=add_outputs, show_progress=False) del_button.click(fn=del_row, inputs=[count_state], outputs=del_outputs, show_progress=False) def create_conditioning_event_handlers(prefix): rows = ui_components.get(f'conditioning_rows_{prefix}') if not rows: return prompts = ui_components[f'conditioning_prompts_{prefix}'] count_state = ui_components[f'conditioning_count_state_{prefix}'] add_button = ui_components[f'add_conditioning_button_{prefix}'] del_button = ui_components[f'delete_conditioning_button_{prefix}'] def add_row(c): c += 1 return { count_state: c, rows[c - 1]: gr.update(visible=True), add_button: gr.update(visible=c < MAX_CONDITIONINGS), del_button: gr.update(visible=True), } def del_row(c): c -= 1 return { count_state: c, rows[c]: gr.update(visible=False), prompts[c]: "", add_button: gr.update(visible=True), del_button: gr.update(visible=c > 0), } add_outputs = [count_state, add_button, del_button] + rows del_outputs = [count_state, add_button, del_button] + rows + prompts add_button.click(fn=add_row, inputs=[count_state], outputs=add_outputs, show_progress=False) del_button.click(fn=del_row, inputs=[count_state], outputs=del_outputs, show_progress=False) def on_vae_upload(file_obj): if not file_obj: return gr.update(), gr.update(), None hashed_filename = save_uploaded_file_with_hash(file_obj, VAE_DIR) return hashed_filename, "File", file_obj def on_lora_upload(file_obj): if not file_obj: return gr.update(), gr.update() hashed_filename = save_uploaded_file_with_hash(file_obj, LORA_DIR) return hashed_filename, "File" def on_embedding_upload(file_obj): if not file_obj: return gr.update(), gr.update(), None hashed_filename = save_uploaded_file_with_hash(file_obj, EMBEDDING_DIR) return hashed_filename, "File", file_obj def create_run_event(prefix: str, task_type: str): run_inputs_map = { 'model_display_name': ui_components[f'base_model_{prefix}'], 'positive_prompt': ui_components.get(f'prompt_{prefix}') or ui_components.get(f'{prefix}_positive_prompt'), 'negative_prompt': ui_components.get(f'neg_prompt_{prefix}') or ui_components.get(f'{prefix}_negative_prompt'), 'seed': ui_components.get(f'seed_{prefix}') or ui_components.get(f'{prefix}_seed'), 'batch_size': ui_components.get(f'batch_size_{prefix}') or ui_components.get(f'{prefix}_batch_size'), 'guidance_scale': ui_components.get(f'cfg_{prefix}') or ui_components.get(f'{prefix}_cfg'), 'num_inference_steps': ui_components.get(f'steps_{prefix}') or ui_components.get(f'{prefix}_steps'), 'sampler': ui_components.get(f'sampler_{prefix}') or ui_components.get(f'{prefix}_sampler_name'), 'scheduler': ui_components.get(f'scheduler_{prefix}') or ui_components.get(f'{prefix}_scheduler'), 'zero_gpu_duration': ui_components.get(f'zero_gpu_{prefix}'), 'clip_skip': ui_components.get(f'clip_skip_{prefix}'), 'guidance': ui_components.get(f'guidance_{prefix}'), 'task_type': gr.State(task_type) } if task_type not in ['img2img', 'inpaint']: run_inputs_map.update({ 'width': ui_components.get(f'width_{prefix}') or ui_components.get(f'{prefix}_width'), 'height': ui_components.get(f'height_{prefix}') or ui_components.get(f'{prefix}_height') }) task_specific_map = { 'img2img': {'img2img_image': f'input_image_{prefix}', 'img2img_denoise': f'denoise_{prefix}'}, 'inpaint': {'inpaint_image_dict': f'input_image_dict_{prefix}', 'grow_mask_by': f'grow_mask_by_{prefix}'}, 'outpaint': {'outpaint_image': f'input_image_{prefix}', 'left': f'left_{prefix}', 'top': f'top_{prefix}', 'right': f'right_{prefix}', 'bottom': f'bottom_{prefix}', 'feathering': f'feathering_{prefix}'}, 'hires_fix': {'hires_image': f'input_image_{prefix}', 'hires_upscaler': f'hires_upscaler_{prefix}', 'hires_scale_by': f'hires_scale_by_{prefix}', 'hires_denoise': f'denoise_{prefix}'} } if task_type in task_specific_map: for key, comp_name in task_specific_map[task_type].items(): if comp_name in ui_components: run_inputs_map[key] = ui_components[comp_name] lora_data_components = ui_components.get(f'all_lora_components_flat_{prefix}', []) controlnet_data_components = ui_components.get(f'all_controlnet_components_flat_{prefix}', []) anima_controlnet_lllite_data_components = ui_components.get(f'all_anima_controlnet_lllite_components_flat_{prefix}', []) diffsynth_controlnet_data_components = ui_components.get(f'all_diffsynth_controlnet_components_flat_{prefix}', []) ipadapter_data_components = ui_components.get(f'all_ipadapter_components_flat_{prefix}', []) sd3_ipadapter_data_components = ui_components.get(f'all_sd3_ipadapter_components_flat_{prefix}', []) flux1_ipadapter_data_components = ui_components.get(f'all_flux1_ipadapter_components_flat_{prefix}', []) style_data_components = ui_components.get(f'all_style_components_flat_{prefix}', []) embedding_data_components = ui_components.get(f'all_embedding_components_flat_{prefix}', []) conditioning_data_components = ui_components.get(f'all_conditioning_components_flat_{prefix}', []) reference_latent_data_components = ui_components.get(f'all_reference_latent_components_flat_{prefix}', []) run_inputs_map['vae_source'] = ui_components.get(f'vae_source_{prefix}') run_inputs_map['vae_id'] = ui_components.get(f'vae_id_{prefix}') run_inputs_map['vae_file'] = ui_components.get(f'vae_file_{prefix}') input_keys = list(run_inputs_map.keys()) input_list_flat = [v for v in run_inputs_map.values() if v is not None] all_chains = [ lora_data_components, controlnet_data_components, anima_controlnet_lllite_data_components, diffsynth_controlnet_data_components, ipadapter_data_components, sd3_ipadapter_data_components, flux1_ipadapter_data_components, style_data_components, embedding_data_components, conditioning_data_components, reference_latent_data_components ] for chain in all_chains: if chain: input_list_flat.extend(chain) def create_ui_inputs_dict(*args): valid_keys = [k for k in input_keys if run_inputs_map[k] is not None] ui_dict = dict(zip(valid_keys, args[:len(valid_keys)])) arg_idx = len(valid_keys) def assign_chain_data(chain_key, components_list): nonlocal arg_idx if components_list: ui_dict[chain_key] = list(args[arg_idx : arg_idx + len(components_list)]) arg_idx += len(components_list) assign_chain_data('lora_data', lora_data_components) assign_chain_data('controlnet_data', controlnet_data_components) assign_chain_data('anima_controlnet_lllite_data', anima_controlnet_lllite_data_components) assign_chain_data('diffsynth_controlnet_data', diffsynth_controlnet_data_components) assign_chain_data('ipadapter_data', ipadapter_data_components) assign_chain_data('sd3_ipadapter_chain', sd3_ipadapter_data_components) assign_chain_data('flux1_ipadapter_data', flux1_ipadapter_data_components) assign_chain_data('style_data', style_data_components) assign_chain_data('embedding_data', embedding_data_components) assign_chain_data('conditioning_data', conditioning_data_components) assign_chain_data('reference_latent_data', reference_latent_data_components) return ui_dict run_btn = ui_components.get(f'run_{prefix}') or ui_components.get(f'{prefix}_run_button') res_gal = ui_components.get(f'result_{prefix}') or ui_components.get(f'{prefix}_output_gallery') if run_btn and res_gal: run_btn.click( fn=lambda *args, progress=gr.Progress(track_tqdm=True): generate_image_wrapper(create_ui_inputs_dict(*args), progress), inputs=input_list_flat, outputs=[res_gal] ) def make_update_fn(m_comp, cat_comp, cs_comp, ar_comp, width_comp, height_comp, cn_types, cn_series, cn_filepaths, anima_cn_types, anima_cn_series, anima_cn_filepaths, diffsynth_cn_types, diffsynth_cn_series, diffsynth_cn_filepaths, ipa_preset, lora_acc, cn_acc, anima_cn_acc, diffsynth_cn_acc, ipa_acc, sd3_ipa_acc, flux1_ipa_acc, style_acc, embed_acc, cond_acc, ref_latent_acc, guidance_comp, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp): def update_fn(*args): arch = args[0] category = args[1] current_ar = args[2] if len(args) > 2 else None from core.settings import MODEL_TYPE_MAP, MODEL_MAP_CHECKPOINT, FEATURES_CONFIG, ARCHITECTURES_CONFIG, MODEL_DEFAULTS_CONFIG, ARCH_CATEGORIES_MAP from utils.app_utils import get_model_generation_defaults if arch == "ALL": valid_cats = list(set(cat for cats in ARCH_CATEGORIES_MAP.values() for cat in cats)) else: valid_cats = ARCH_CATEGORIES_MAP.get(arch, []) cat_choices = ["ALL"] + sorted(valid_cats) new_category = category if category in cat_choices else "ALL" choices = [] for name, info in MODEL_MAP_CHECKPOINT.items(): m_arch = info[2] m_cat = info[4] if len(info) > 4 else None arch_match = (arch == "ALL" or m_arch == arch) cat_match = (new_category == "ALL" or m_cat == new_category) if arch_match and cat_match: choices.append(name) val = choices[0] if choices else None updates = { m_comp: gr.update(choices=choices, value=val), cat_comp: gr.update(choices=cat_choices, value=new_category) } m_type = MODEL_TYPE_MAP.get(val, "SDXL") if val else "SDXL" architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {}) arch_model_type = architectures_dict.get(m_type, {}).get("model_type", m_type.lower().replace(" ", "").replace(".", "")) arch_features = FEATURES_CONFIG.get(arch_model_type, FEATURES_CONFIG.get('default', {})) enabled_chains = arch_features.get('enabled_chains', []) if lora_acc: updates[lora_acc] = gr.update(visible=('lora' in enabled_chains)) if cn_acc: updates[cn_acc] = gr.update(visible=('controlnet' in enabled_chains)) if anima_cn_acc: updates[anima_cn_acc] = gr.update(visible=('anima_controlnet_lllite' in enabled_chains)) if diffsynth_cn_acc: updates[diffsynth_cn_acc] = gr.update(visible=('controlnet_model_patch' in enabled_chains)) if ipa_acc: updates[ipa_acc] = gr.update(visible=('ipadapter' in enabled_chains)) if flux1_ipa_acc: updates[flux1_ipa_acc] = gr.update(visible=('flux1_ipadapter' in enabled_chains)) if sd3_ipa_acc: updates[sd3_ipa_acc] = gr.update(visible=('sd3_ipadapter' in enabled_chains)) if style_acc: updates[style_acc] = gr.update(visible=('style' in enabled_chains)) if embed_acc: updates[embed_acc] = gr.update(visible=('embedding' in enabled_chains)) if cond_acc: updates[cond_acc] = gr.update(visible=('conditioning' in enabled_chains)) if ref_latent_acc: updates[ref_latent_acc] = gr.update(visible=('reference_latent' in enabled_chains)) if cs_comp: updates[cs_comp] = gr.update(visible=(arch_model_type == "sd15")) if guidance_comp: updates[guidance_comp] = gr.update(visible=(arch_model_type == "flux1")) if ar_comp: res_key = arch_model_type if res_key not in RESOLUTION_MAP: res_key = 'sdxl' res_map = RESOLUTION_MAP.get(res_key, {}) target_ar = current_ar if current_ar in res_map else (list(res_map.keys())[0] if res_map else "1:1 (Square)") updates[ar_comp] = gr.update(choices=list(res_map.keys()), value=target_ar) if width_comp and height_comp and target_ar in res_map: updates[width_comp] = gr.update(value=res_map[target_ar][0]) updates[height_comp] = gr.update(value=res_map[target_ar][1]) controlnet_key = architectures_dict.get(m_type, {}).get("controlnet_key", m_type) all_types, default_type, series_choices, default_series, filepath = get_cn_defaults(controlnet_key) for t_comp in cn_types: updates[t_comp] = gr.update(choices=all_types, value=default_type) for s_comp in cn_series: updates[s_comp] = gr.update(choices=series_choices, value=default_series) for f_comp in cn_filepaths: updates[f_comp] = filepath anima_all_types, anima_default_type, anima_series_choices, anima_default_series, anima_filepath = get_anima_cn_defaults() for t_comp in anima_cn_types: updates[t_comp] = gr.update(choices=anima_all_types, value=anima_default_type) for s_comp in anima_cn_series: updates[s_comp] = gr.update(choices=anima_series_choices, value=anima_default_series) for f_comp in anima_cn_filepaths: updates[f_comp] = anima_filepath diffsynth_all_types, diffsynth_default_type, diffsynth_series_choices, diffsynth_default_series, diffsynth_filepath = get_diffsynth_cn_defaults(controlnet_key) for t_comp in diffsynth_cn_types: updates[t_comp] = gr.update(choices=diffsynth_all_types, value=diffsynth_default_type) for s_comp in diffsynth_cn_series: updates[s_comp] = gr.update(choices=diffsynth_series_choices, value=diffsynth_default_series) for f_comp in diffsynth_cn_filepaths: updates[f_comp] = diffsynth_filepath if ipa_preset and (arch_model_type in ["sdxl", "sd15", "sd35"]): config = load_ipadapter_config() ipa_arch_key = "SDXL" if arch_model_type in ["sdxl", "sd35"] else "SD1.5" std_presets = config.get("IPAdapter_presets", {}).get(ipa_arch_key, []) face_presets = config.get("IPAdapter_FaceID_presets", {}).get(ipa_arch_key, []) all_ipa_presets = std_presets + face_presets default_ipa = all_ipa_presets[0] if all_ipa_presets else None updates[ipa_preset] = gr.update(choices=all_ipa_presets, value=default_ipa) defaults = get_model_generation_defaults(val, arch_model_type, MODEL_DEFAULTS_CONFIG) if steps_comp: updates[steps_comp] = gr.update(value=defaults.get('steps')) if cfg_comp: updates[cfg_comp] = gr.update(value=defaults.get('cfg')) if sampler_comp: updates[sampler_comp] = gr.update(value=defaults.get('sampler_name')) if scheduler_comp: updates[scheduler_comp] = gr.update(value=defaults.get('scheduler')) if prompt_comp: updates[prompt_comp] = gr.update(value=defaults.get('positive_prompt')) if neg_prompt_comp: updates[neg_prompt_comp] = gr.update(value=defaults.get('negative_prompt')) return updates return update_fn def make_model_change_fn(cat_comp_ref, cs_comp, ar_comp, width_comp, height_comp, cn_types, cn_series, cn_filepaths, anima_cn_types, anima_cn_series, anima_cn_filepaths, diffsynth_cn_types, diffsynth_cn_series, diffsynth_cn_filepaths, arch_comp_ref, ipa_preset, lora_acc, cn_acc, anima_cn_acc, diffsynth_cn_acc, ipa_acc, sd3_ipa_acc, flux1_ipa_acc, style_acc, embed_acc, cond_acc, ref_latent_acc, guidance_comp, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp): def change_fn(*args): model_name = args[0] idx = 1 current_arch = args[idx] if arch_comp_ref and idx < len(args) else None if arch_comp_ref: idx += 1 current_cat = args[idx] if cat_comp_ref and idx < len(args) else None if cat_comp_ref: idx += 1 current_ar = args[idx] if idx < len(args) else None from core.settings import MODEL_TYPE_MAP, FEATURES_CONFIG, ARCHITECTURES_CONFIG, MODEL_DEFAULTS_CONFIG, ARCH_CATEGORIES_MAP, MODEL_MAP_CHECKPOINT from utils.app_utils import get_model_generation_defaults m_type = MODEL_TYPE_MAP.get(model_name, "SDXL") m_info = MODEL_MAP_CHECKPOINT.get(model_name) m_cat = m_info[4] if m_info and len(m_info) > 4 else None if not m_cat: m_cat = "ALL" updates = {} target_arch = m_type if arch_comp_ref: if current_arch == "ALL": updates[arch_comp_ref] = gr.update() target_arch = "ALL" else: updates[arch_comp_ref] = m_type if cat_comp_ref: if target_arch == "ALL": valid_cats = list(set(cat for cats in ARCH_CATEGORIES_MAP.values() for cat in cats)) else: valid_cats = ARCH_CATEGORIES_MAP.get(target_arch, []) cat_choices = ["ALL"] + sorted(valid_cats) if current_cat == "ALL": updates[cat_comp_ref] = gr.update(choices=cat_choices) else: updates[cat_comp_ref] = gr.update(choices=cat_choices, value=m_cat) architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {}) arch_model_type = architectures_dict.get(m_type, {}).get("model_type", m_type.lower().replace(" ", "").replace(".", "")) arch_features = FEATURES_CONFIG.get(arch_model_type, FEATURES_CONFIG.get('default', {})) enabled_chains = arch_features.get('enabled_chains', []) if lora_acc: updates[lora_acc] = gr.update(visible=('lora' in enabled_chains)) if cn_acc: updates[cn_acc] = gr.update(visible=('controlnet' in enabled_chains)) if anima_cn_acc: updates[anima_cn_acc] = gr.update(visible=('anima_controlnet_lllite' in enabled_chains)) if diffsynth_cn_acc: updates[diffsynth_cn_acc] = gr.update(visible=('controlnet_model_patch' in enabled_chains)) if ipa_acc: updates[ipa_acc] = gr.update(visible=('ipadapter' in enabled_chains)) if flux1_ipa_acc: updates[flux1_ipa_acc] = gr.update(visible=('flux1_ipadapter' in enabled_chains)) if sd3_ipa_acc: updates[sd3_ipa_acc] = gr.update(visible=('sd3_ipadapter' in enabled_chains)) if style_acc: updates[style_acc] = gr.update(visible=('style' in enabled_chains)) if embed_acc: updates[embed_acc] = gr.update(visible=('embedding' in enabled_chains)) if cond_acc: updates[cond_acc] = gr.update(visible=('conditioning' in enabled_chains)) if ref_latent_acc: updates[ref_latent_acc] = gr.update(visible=('reference_latent' in enabled_chains)) if cs_comp: updates[cs_comp] = gr.update(visible=(arch_model_type == "sd15")) if guidance_comp: updates[guidance_comp] = gr.update(visible=(arch_model_type == "flux1")) if ar_comp: res_key = arch_model_type if res_key not in RESOLUTION_MAP: res_key = 'sdxl' res_map = RESOLUTION_MAP.get(res_key, {}) target_ar = current_ar if current_ar in res_map else (list(res_map.keys())[0] if res_map else "1:1 (Square)") updates[ar_comp] = gr.update(choices=list(res_map.keys()), value=target_ar) if width_comp and height_comp and target_ar in res_map: updates[width_comp] = gr.update(value=res_map[target_ar][0]) updates[height_comp] = gr.update(value=res_map[target_ar][1]) controlnet_key = architectures_dict.get(m_type, {}).get("controlnet_key", m_type) all_types, default_type, series_choices, default_series, filepath = get_cn_defaults(controlnet_key) for t_comp in cn_types: updates[t_comp] = gr.update(choices=all_types, value=default_type) for s_comp in cn_series: updates[s_comp] = gr.update(choices=series_choices, value=default_series) for f_comp in cn_filepaths: updates[f_comp] = filepath anima_all_types, anima_default_type, anima_series_choices, anima_default_series, anima_filepath = get_anima_cn_defaults() for t_comp in anima_cn_types: updates[t_comp] = gr.update(choices=anima_all_types, value=anima_default_type) for s_comp in anima_cn_series: updates[s_comp] = gr.update(choices=anima_series_choices, value=anima_default_series) for f_comp in anima_cn_filepaths: updates[f_comp] = anima_filepath diffsynth_all_types, diffsynth_default_type, diffsynth_series_choices, diffsynth_default_series, diffsynth_filepath = get_diffsynth_cn_defaults(controlnet_key) for t_comp in diffsynth_cn_types: updates[t_comp] = gr.update(choices=diffsynth_all_types, value=diffsynth_default_type) for s_comp in diffsynth_cn_series: updates[s_comp] = gr.update(choices=diffsynth_series_choices, value=diffsynth_default_series) for f_comp in diffsynth_cn_filepaths: updates[f_comp] = diffsynth_filepath if ipa_preset and (arch_model_type in ["sdxl", "sd15", "sd35"]): config = load_ipadapter_config() ipa_arch_key = "SDXL" if arch_model_type in ["sdxl", "sd35"] else "SD1.5" std_presets = config.get("IPAdapter_presets", {}).get(ipa_arch_key, []) face_presets = config.get("IPAdapter_FaceID_presets", {}).get(ipa_arch_key, []) all_ipa_presets = std_presets + face_presets default_ipa = all_ipa_presets[0] if all_ipa_presets else None updates[ipa_preset] = gr.update(choices=all_ipa_presets, value=default_ipa) defaults = get_model_generation_defaults(model_name, arch_model_type, MODEL_DEFAULTS_CONFIG) if steps_comp: updates[steps_comp] = gr.update(value=defaults.get('steps')) if cfg_comp: updates[cfg_comp] = gr.update(value=defaults.get('cfg')) if sampler_comp: updates[sampler_comp] = gr.update(value=defaults.get('sampler_name')) if scheduler_comp: updates[scheduler_comp] = gr.update(value=defaults.get('scheduler')) if prompt_comp: updates[prompt_comp] = gr.update(value=defaults.get('positive_prompt')) if neg_prompt_comp: updates[neg_prompt_comp] = gr.update(value=defaults.get('negative_prompt')) return updates return change_fn for prefix, task_type in [ ("txt2img", "txt2img"), ("img2img", "img2img"), ("inpaint", "inpaint"), ("outpaint", "outpaint"), ("hires_fix", "hires_fix"), ]: arch_comp = ui_components.get(f'model_arch_{prefix}') cat_comp = ui_components.get(f'model_cat_{prefix}') model_comp = ui_components.get(f'base_model_{prefix}') clip_skip_comp = ui_components.get(f'clip_skip_{prefix}') or ui_components.get(f'{prefix}_clip_skip') guidance_comp = ui_components.get(f'guidance_{prefix}') or ui_components.get(f'{prefix}_guidance') aspect_ratio_comp = ui_components.get(f'aspect_ratio_{prefix}') or ui_components.get(f'{prefix}_aspect_ratio_dropdown') width_comp = ui_components.get(f'width_{prefix}') or ui_components.get(f'{prefix}_width') height_comp = ui_components.get(f'height_{prefix}') or ui_components.get(f'{prefix}_height') cn_types_list = ui_components.get(f'controlnet_types_{prefix}', []) cn_series_list = ui_components.get(f'controlnet_series_{prefix}', []) cn_filepaths_list = ui_components.get(f'controlnet_filepaths_{prefix}', []) anima_cn_types_list = ui_components.get(f'anima_controlnet_lllite_types_{prefix}', []) anima_cn_series_list = ui_components.get(f'anima_controlnet_lllite_series_{prefix}', []) anima_cn_filepaths_list = ui_components.get(f'anima_controlnet_lllite_filepaths_{prefix}', []) diffsynth_cn_types_list = ui_components.get(f'diffsynth_controlnet_types_{prefix}', []) diffsynth_cn_series_list = ui_components.get(f'diffsynth_controlnet_series_{prefix}', []) diffsynth_cn_filepaths_list = ui_components.get(f'diffsynth_controlnet_filepaths_{prefix}', []) lora_accordion = ui_components.get(f'lora_accordion_{prefix}') cn_accordion = ui_components.get(f'controlnet_accordion_{prefix}') anima_cn_accordion = ui_components.get(f'anima_controlnet_lllite_accordion_{prefix}') diffsynth_cn_accordion = ui_components.get(f'diffsynth_controlnet_accordion_{prefix}') ipa_accordion = ui_components.get(f'ipadapter_accordion_{prefix}') sd3_ipa_accordion = ui_components.get(f'sd3_ipadapter_accordion_{prefix}') flux1_ipa_accordion = ui_components.get(f'flux1_ipadapter_accordion_{prefix}') style_accordion = ui_components.get(f'style_accordion_{prefix}') embedding_accordion = ui_components.get(f'embedding_accordion_{prefix}') conditioning_accordion = ui_components.get(f'conditioning_accordion_{prefix}') ref_latent_accordion = ui_components.get(f'reference_latent_accordion_{prefix}') ipa_preset_list = ui_components.get(f'ipadapter_final_preset_{prefix}') prompt_comp = ui_components.get(f'prompt_{prefix}') or ui_components.get(f'{prefix}_positive_prompt') neg_prompt_comp = ui_components.get(f'neg_prompt_{prefix}') or ui_components.get(f'{prefix}_negative_prompt') steps_comp = ui_components.get(f'steps_{prefix}') or ui_components.get(f'{prefix}_steps') cfg_comp = ui_components.get(f'cfg_{prefix}') or ui_components.get(f'{prefix}_cfg') sampler_comp = ui_components.get(f'sampler_{prefix}') or ui_components.get(f'{prefix}_sampler_name') scheduler_comp = ui_components.get(f'scheduler_{prefix}') or ui_components.get(f'{prefix}_scheduler') extra_comps = [prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp, width_comp, height_comp] valid_extra_comps = [c for c in extra_comps if c is not None] if arch_comp and cat_comp and model_comp: outputs = [model_comp, cat_comp] if clip_skip_comp: outputs.append(clip_skip_comp) if guidance_comp: outputs.append(guidance_comp) if aspect_ratio_comp: outputs.append(aspect_ratio_comp) outputs.extend(cn_types_list + cn_series_list + cn_filepaths_list) outputs.extend(anima_cn_types_list + anima_cn_series_list + anima_cn_filepaths_list) outputs.extend(diffsynth_cn_types_list + diffsynth_cn_series_list + diffsynth_cn_filepaths_list) if lora_accordion: outputs.append(lora_accordion) if cn_accordion: outputs.append(cn_accordion) if anima_cn_accordion: outputs.append(anima_cn_accordion) if diffsynth_cn_accordion: outputs.append(diffsynth_cn_accordion) if ipa_accordion: outputs.append(ipa_accordion) if sd3_ipa_accordion: outputs.append(sd3_ipa_accordion) if flux1_ipa_accordion: outputs.append(flux1_ipa_accordion) if style_accordion: outputs.append(style_accordion) if embedding_accordion: outputs.append(embedding_accordion) if conditioning_accordion: outputs.append(conditioning_accordion) if ref_latent_accordion: outputs.append(ref_latent_accordion) if ipa_preset_list: outputs.append(ipa_preset_list) outputs.extend(valid_extra_comps) update_fn = make_update_fn( model_comp, cat_comp, clip_skip_comp, aspect_ratio_comp, width_comp, height_comp, cn_types_list, cn_series_list, cn_filepaths_list, anima_cn_types_list, anima_cn_series_list, anima_cn_filepaths_list, diffsynth_cn_types_list, diffsynth_cn_series_list, diffsynth_cn_filepaths_list, ipa_preset_list, lora_accordion, cn_accordion, anima_cn_accordion, diffsynth_cn_accordion, ipa_accordion, sd3_ipa_accordion, flux1_ipa_accordion, style_accordion, embedding_accordion, conditioning_accordion, ref_latent_accordion, guidance_comp, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp ) inputs = [arch_comp, cat_comp] if aspect_ratio_comp: inputs.append(aspect_ratio_comp) arch_comp.change(fn=update_fn, inputs=inputs, outputs=outputs) cat_comp.change(fn=update_fn, inputs=inputs, outputs=outputs) if model_comp: outputs2 = [] if arch_comp: outputs2.append(arch_comp) if cat_comp: outputs2.append(cat_comp) if clip_skip_comp: outputs2.append(clip_skip_comp) if guidance_comp: outputs2.append(guidance_comp) if aspect_ratio_comp: outputs2.append(aspect_ratio_comp) outputs2.extend(cn_types_list + cn_series_list + cn_filepaths_list) outputs2.extend(anima_cn_types_list + anima_cn_series_list + anima_cn_filepaths_list) outputs2.extend(diffsynth_cn_types_list + diffsynth_cn_series_list + diffsynth_cn_filepaths_list) if lora_accordion: outputs2.append(lora_accordion) if cn_accordion: outputs2.append(cn_accordion) if anima_cn_accordion: outputs2.append(anima_cn_accordion) if diffsynth_cn_accordion: outputs2.append(diffsynth_cn_accordion) if ipa_accordion: outputs2.append(ipa_accordion) if sd3_ipa_accordion: outputs2.append(sd3_ipa_accordion) if flux1_ipa_accordion: outputs2.append(flux1_ipa_accordion) if style_accordion: outputs2.append(style_accordion) if embedding_accordion: outputs2.append(embedding_accordion) if conditioning_accordion: outputs2.append(conditioning_accordion) if ref_latent_accordion: outputs2.append(ref_latent_accordion) if ipa_preset_list: outputs2.append(ipa_preset_list) outputs2.extend(valid_extra_comps) if outputs2: inputs2 = [model_comp] if arch_comp: inputs2.append(arch_comp) if cat_comp: inputs2.append(cat_comp) if aspect_ratio_comp: inputs2.append(aspect_ratio_comp) change_fn = make_model_change_fn( cat_comp, clip_skip_comp, aspect_ratio_comp, width_comp, height_comp, cn_types_list, cn_series_list, cn_filepaths_list, anima_cn_types_list, anima_cn_series_list, anima_cn_filepaths_list, diffsynth_cn_types_list, diffsynth_cn_series_list, diffsynth_cn_filepaths_list, arch_comp, ipa_preset_list, lora_accordion, cn_accordion, anima_cn_accordion, diffsynth_cn_accordion, ipa_accordion, sd3_ipa_accordion, flux1_ipa_accordion, style_accordion, embedding_accordion, conditioning_accordion, ref_latent_accordion, guidance_comp, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp ) model_comp.change(fn=change_fn, inputs=inputs2, outputs=outputs2) create_lora_event_handlers(prefix) create_controlnet_event_handlers(prefix) create_anima_controlnet_lllite_event_handlers(prefix) create_diffsynth_controlnet_event_handlers(prefix) create_ipadapter_event_handlers(prefix) create_embedding_event_handlers(prefix) create_conditioning_event_handlers(prefix) create_flux1_ipadapter_event_handlers(prefix) create_style_event_handlers(prefix) create_reference_latent_event_handlers(prefix) create_run_event(prefix, task_type) if 'view_mode_inpaint' in ui_components: def toggle_inpaint_fullscreen_view(view_mode): is_fullscreen = (view_mode == "Fullscreen View") other_elements_visible = not is_fullscreen editor_height = 800 if is_fullscreen else 272 updates = { ui_components['prompts_column_inpaint']: gr.update(visible=other_elements_visible), ui_components['params_and_gallery_row_inpaint']: gr.update(visible=other_elements_visible), ui_components['accordion_wrapper_inpaint']: gr.update(visible=other_elements_visible), ui_components['input_image_dict_inpaint']: gr.update(height=editor_height), } model_and_run_rows = ui_components.get('model_and_run_row_inpaint', []) for row in model_and_run_rows: updates[row] = gr.update(visible=other_elements_visible) return updates output_components = [] model_and_run_rows = ui_components.get('model_and_run_row_inpaint', []) if isinstance(model_and_run_rows, list): output_components.extend(model_and_run_rows) else: output_components.append(model_and_run_rows) output_components.extend([ ui_components['prompts_column_inpaint'], ui_components['params_and_gallery_row_inpaint'], ui_components['accordion_wrapper_inpaint'], ui_components['input_image_dict_inpaint'] ]) ui_components['view_mode_inpaint'].change( fn=toggle_inpaint_fullscreen_view, inputs=[ui_components['view_mode_inpaint']], outputs=output_components, show_progress=False ) def initialize_all_cn_dropdowns(): from core.settings import MODEL_TYPE_MAP, MODEL_MAP_CHECKPOINT, ARCHITECTURES_CONFIG default_model_name = list(MODEL_MAP_CHECKPOINT.keys())[0] if MODEL_MAP_CHECKPOINT else None default_m_type = MODEL_TYPE_MAP.get(default_model_name, "SDXL") if default_model_name else "SDXL" architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {}) controlnet_key = architectures_dict.get(default_m_type, {}).get("controlnet_key", default_m_type) all_types, default_type, series_choices, default_series, filepath = get_cn_defaults(controlnet_key) anima_all_types, anima_default_type, anima_series_choices, anima_default_series, anima_filepath = get_anima_cn_defaults() diffsynth_all_types, diffsynth_default_type, diffsynth_series_choices, diffsynth_default_series, diffsynth_filepath = get_diffsynth_cn_defaults(controlnet_key) updates = {} for prefix in ["txt2img", "img2img", "inpaint", "outpaint", "hires_fix"]: if f'controlnet_types_{prefix}' in ui_components: for type_dd in ui_components[f'controlnet_types_{prefix}']: updates[type_dd] = gr.update(choices=all_types, value=default_type) for series_dd in ui_components[f'controlnet_series_{prefix}']: updates[series_dd] = gr.update(choices=series_choices, value=default_series) for filepath_state in ui_components[f'controlnet_filepaths_{prefix}']: updates[filepath_state] = filepath if f'anima_controlnet_lllite_types_{prefix}' in ui_components: for type_dd in ui_components[f'anima_controlnet_lllite_types_{prefix}']: updates[type_dd] = gr.update(choices=anima_all_types, value=anima_default_type) for series_dd in ui_components[f'anima_controlnet_lllite_series_{prefix}']: updates[series_dd] = gr.update(choices=anima_series_choices, value=anima_default_series) for filepath_state in ui_components[f'anima_controlnet_lllite_filepaths_{prefix}']: updates[filepath_state] = anima_filepath if f'diffsynth_controlnet_types_{prefix}' in ui_components: for type_dd in ui_components[f'diffsynth_controlnet_types_{prefix}']: updates[type_dd] = gr.update(choices=diffsynth_all_types, value=diffsynth_default_type) for series_dd in ui_components[f'diffsynth_controlnet_series_{prefix}']: updates[series_dd] = gr.update(choices=diffsynth_series_choices, value=diffsynth_default_series) for filepath_state in ui_components[f'diffsynth_controlnet_filepaths_{prefix}']: updates[filepath_state] = diffsynth_filepath return updates def initialize_all_ipa_dropdowns(): config = load_ipadapter_config() if not config: return {} from core.settings import MODEL_TYPE_MAP, MODEL_MAP_CHECKPOINT, ARCHITECTURES_CONFIG default_model_name = list(MODEL_MAP_CHECKPOINT.keys())[0] if MODEL_MAP_CHECKPOINT else None default_m_type = MODEL_TYPE_MAP.get(default_model_name, "SDXL") if default_model_name else "SDXL" architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {}) arch_model_type = architectures_dict.get(default_m_type, {}).get("model_type", default_m_type.lower().replace(" ", "").replace(".", "")) ipa_arch_key = "SDXL" if arch_model_type in ["sdxl", "sd35"] else "SD1.5" unified_presets = config.get("IPAdapter_presets", {}).get(ipa_arch_key, []) faceid_presets = config.get("IPAdapter_FaceID_presets", {}).get(ipa_arch_key, []) all_presets = unified_presets + faceid_presets default_preset = all_presets[0] if all_presets else None is_faceid_default = default_preset in faceid_presets lora_strength_update = gr.update(visible=is_faceid_default) updates = {} for prefix in ["txt2img", "img2img", "inpaint", "outpaint", "hires_fix"]: if f'ipadapter_final_preset_{prefix}' in ui_components: for lora_strength_slider in ui_components[f'ipadapter_lora_strengths_{prefix}']: updates[lora_strength_slider] = lora_strength_update updates[ui_components[f'ipadapter_final_preset_{prefix}']] = gr.update(choices=all_presets, value=default_preset) updates[ui_components[f'ipadapter_final_lora_strength_{prefix}']] = lora_strength_update return updates def run_on_load(): cn_updates = initialize_all_cn_dropdowns() ipa_updates = initialize_all_ipa_dropdowns() all_updates = {**cn_updates, **ipa_updates} return all_updates all_load_outputs = [] for prefix in ["txt2img", "img2img", "inpaint", "outpaint", "hires_fix"]: if f'controlnet_types_{prefix}' in ui_components: all_load_outputs.extend(ui_components[f'controlnet_types_{prefix}']) all_load_outputs.extend(ui_components[f'controlnet_series_{prefix}']) all_load_outputs.extend(ui_components[f'controlnet_filepaths_{prefix}']) if f'anima_controlnet_lllite_types_{prefix}' in ui_components: all_load_outputs.extend(ui_components[f'anima_controlnet_lllite_types_{prefix}']) all_load_outputs.extend(ui_components[f'anima_controlnet_lllite_series_{prefix}']) all_load_outputs.extend(ui_components[f'anima_controlnet_lllite_filepaths_{prefix}']) if f'diffsynth_controlnet_types_{prefix}' in ui_components: all_load_outputs.extend(ui_components[f'diffsynth_controlnet_types_{prefix}']) all_load_outputs.extend(ui_components[f'diffsynth_controlnet_series_{prefix}']) all_load_outputs.extend(ui_components[f'diffsynth_controlnet_filepaths_{prefix}']) if f'ipadapter_final_preset_{prefix}' in ui_components: all_load_outputs.extend(ui_components[f'ipadapter_lora_strengths_{prefix}']) all_load_outputs.append(ui_components[f'ipadapter_final_preset_{prefix}']) all_load_outputs.append(ui_components[f'ipadapter_final_lora_strength_{prefix}']) if all_load_outputs: demo.load( fn=run_on_load, outputs=all_load_outputs ) def on_aspect_ratio_change(ratio_key, model_display_name): from core.settings import MODEL_TYPE_MAP, ARCHITECTURES_CONFIG m_type = MODEL_TYPE_MAP.get(model_display_name, 'SDXL') architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {}) arch_model_type = architectures_dict.get(m_type, {}).get("model_type", m_type.lower().replace(" ", "").replace(".", "")) res_map = RESOLUTION_MAP.get(arch_model_type, RESOLUTION_MAP.get("sdxl", {})) w, h = res_map.get(ratio_key, (1024, 1024)) return w, h for prefix in ["txt2img", "img2img", "inpaint", "outpaint", "hires_fix"]: aspect_ratio_dropdown = ui_components.get(f'aspect_ratio_{prefix}') or ui_components.get(f'{prefix}_aspect_ratio_dropdown') width_component = ui_components.get(f'width_{prefix}') or ui_components.get(f'{prefix}_width') height_component = ui_components.get(f'height_{prefix}') or ui_components.get(f'{prefix}_height') model_dropdown = ui_components.get(f'base_model_{prefix}') if aspect_ratio_dropdown and width_component and height_component and model_dropdown: aspect_ratio_dropdown.change(fn=on_aspect_ratio_change, inputs=[aspect_ratio_dropdown, model_dropdown], outputs=[width_component, height_component], show_progress=False)