| import gradio as gr |
| 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 |
| from ui.shared.ui_components import RESOLUTION_MAP |
| from .config_loaders import ( |
| get_cn_defaults, |
| get_anima_cn_defaults, |
| get_diffsynth_cn_defaults, |
| load_ipadapter_config |
| ) |
|
|
| 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, hidream_o1_ref_acc, guidance_comp, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp, pid_acc=None, vae_acc=None): |
| def update_fn(*args): |
| arch = args[0] |
| category = args[1] |
| current_ar = args[2] if len(args) > 2 else None |
| |
| 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 hidream_o1_ref_acc: updates[hidream_o1_ref_acc] = gr.update(visible=('hidream_o1_reference' in enabled_chains)) |
| if pid_acc: updates[pid_acc] = gr.update(visible=('pid' in enabled_chains)) |
| if vae_acc: updates[vae_acc] = gr.update(visible=('vae' 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, hidream_o1_ref_acc, guidance_comp, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp, pid_acc=None, vae_acc=None): |
| 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 |
| |
| 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 hidream_o1_ref_acc: updates[hidream_o1_ref_acc] = gr.update(visible=('hidream_o1_reference' in enabled_chains)) |
| if pid_acc: updates[pid_acc] = gr.update(visible=('pid' in enabled_chains)) |
| if vae_acc: updates[vae_acc] = gr.update(visible=('vae' 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 |
|
|
|
|
| def initialize_all_cn_dropdowns(ui_components): |
| 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=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(ui_components): |
| config = load_ipadapter_config() |
| if not config: return {} |
| |
| 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(ui_components): |
| cn_updates = initialize_all_cn_dropdowns(ui_components) |
| ipa_updates = initialize_all_ipa_dropdowns(ui_components) |
| return {**cn_updates, **ipa_updates} |
|
|
|
|
| def on_aspect_ratio_change(ratio_key, model_display_name): |
| 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 |
