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from .chain_handlers import (
create_lora_event_handlers,
create_controlnet_event_handlers,
create_ipadapter_event_handlers,
create_embedding_event_handlers,
create_conditioning_event_handlers,
create_flux1_ipadapter_event_handlers,
create_sd3_ipadapter_event_handlers,
create_style_event_handlers,
create_reference_latent_event_handlers,
create_hidream_o1_reference_event_handlers,
create_sensenova_reference_event_handlers,
create_joyai_reference_event_handlers,
create_krea2_identity_edit_event_handlers,
create_krea2_reference_edit_event_handlers,
create_qwen_image_edit_event_handlers,
create_reference_image_event_handlers
)
from .change_handlers import (
make_update_fn,
make_model_change_fn,
run_on_load,
on_aspect_ratio_change
)
from .run_handlers import create_run_event
def attach_event_handlers(ui_components, demo):
prefixes = ["imagegen", "txt2img", "img2img", "inpaint", "outpaint", "hires_fix"]
active_prefixes = [p for p in prefixes if f'base_model_{p}' in ui_components]
for prefix in active_prefixes:
task_type = prefix if prefix != "imagegen" else None
type_comp = ui_components.get(f'type_{prefix}') # for unified imagegen UI
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}')
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}', [])
lora_accordion = ui_components.get(f'lora_accordion_{prefix}')
cn_accordion = ui_components.get(f'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}')
hidream_o1_ref_accordion = ui_components.get(f'hidream_o1_reference_accordion_{prefix}')
sensenova_ref_accordion = ui_components.get(f'sensenova_reference_accordion_{prefix}')
joyai_ref_accordion = ui_components.get(f'joyai_reference_accordion_{prefix}')
krea2_identity_edit_accordion = ui_components.get(f'krea2_identity_edit_accordion_{prefix}')
krea2_reference_edit_accordion = ui_components.get(f'krea2_reference_edit_accordion_{prefix}')
qwen_image_edit_accordion = ui_components.get(f'qwen_image_edit_accordion_{prefix}')
ref_img_accordion = ui_components.get(f'reference_image_accordion_{prefix}')
pid_accordion = ui_components.get(f'pid_accordion_{prefix}')
vae_accordion = ui_components.get(f'vae_accordion_{prefix}')
qwen_pe_accordion = ui_components.get(f'qwen_image_2_1_prompt_enhancer_accordion_{prefix}')
ming_pe_accordion = ui_components.get(f'ming_image_prompt_enhancer_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 aspect_ratio_comp: outputs.append(aspect_ratio_comp)
outputs.extend(cn_types_list + cn_series_list + cn_filepaths_list)
if lora_accordion: outputs.append(lora_accordion)
if cn_accordion: outputs.append(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 hidream_o1_ref_accordion: outputs.append(hidream_o1_ref_accordion)
if sensenova_ref_accordion: outputs.append(sensenova_ref_accordion)
if joyai_ref_accordion: outputs.append(joyai_ref_accordion)
if krea2_identity_edit_accordion: outputs.append(krea2_identity_edit_accordion)
if krea2_reference_edit_accordion: outputs.append(krea2_reference_edit_accordion)
if qwen_image_edit_accordion: outputs.append(qwen_image_edit_accordion)
if ref_img_accordion: outputs.append(ref_img_accordion)
if pid_accordion: outputs.append(pid_accordion)
if vae_accordion: outputs.append(vae_accordion)
if qwen_pe_accordion: outputs.append(qwen_pe_accordion)
if ming_pe_accordion: outputs.append(ming_pe_accordion)
if ipa_preset_list: outputs.append(ipa_preset_list)
outputs.extend(valid_extra_comps)
update_fn = make_update_fn(
model_comp, cat_comp, aspect_ratio_comp, width_comp, height_comp,
cn_types_list, cn_series_list, cn_filepaths_list,
ipa_preset_list, lora_accordion, cn_accordion, ipa_accordion, sd3_ipa_accordion, flux1_ipa_accordion, style_accordion, embedding_accordion, conditioning_accordion,
ref_latent_accordion, hidream_o1_ref_accordion, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp,
pid_acc=pid_accordion, vae_acc=vae_accordion, joyai_ref_acc=joyai_ref_accordion, krea2_identity_edit_acc=krea2_identity_edit_accordion, krea2_reference_edit_acc=krea2_reference_edit_accordion, qwen_image_edit_acc=qwen_image_edit_accordion, ref_img_acc=ref_img_accordion, sensenova_ref_acc=sensenova_ref_accordion,
task_type=task_type, type_comp=type_comp, qwen_pe_acc=qwen_pe_accordion, ming_pe_acc=ming_pe_accordion
)
inputs = [arch_comp, cat_comp]
if aspect_ratio_comp:
inputs.append(aspect_ratio_comp)
if type_comp:
inputs.append(type_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 aspect_ratio_comp: outputs2.append(aspect_ratio_comp)
outputs2.extend(cn_types_list + cn_series_list + cn_filepaths_list)
if lora_accordion: outputs2.append(lora_accordion)
if cn_accordion: outputs2.append(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 hidream_o1_ref_accordion: outputs2.append(hidream_o1_ref_accordion)
if sensenova_ref_accordion: outputs2.append(sensenova_ref_accordion)
if joyai_ref_accordion: outputs2.append(joyai_ref_accordion)
if krea2_identity_edit_accordion: outputs2.append(krea2_identity_edit_accordion)
if krea2_reference_edit_accordion: outputs2.append(krea2_reference_edit_accordion)
if qwen_image_edit_accordion: outputs2.append(qwen_image_edit_accordion)
if ref_img_accordion: outputs2.append(ref_img_accordion)
if pid_accordion: outputs2.append(pid_accordion)
if vae_accordion: outputs2.append(vae_accordion)
if qwen_pe_accordion: outputs2.append(qwen_pe_accordion)
if ming_pe_accordion: outputs2.append(ming_pe_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, aspect_ratio_comp, width_comp, height_comp,
cn_types_list, cn_series_list, cn_filepaths_list,
arch_comp, ipa_preset_list, lora_accordion, cn_accordion, ipa_accordion, sd3_ipa_accordion, flux1_ipa_accordion, style_accordion, embedding_accordion, conditioning_accordion,
ref_latent_accordion, hidream_o1_ref_accordion, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp,
pid_acc=pid_accordion, vae_acc=vae_accordion, joyai_ref_acc=joyai_ref_accordion, krea2_identity_edit_acc=krea2_identity_edit_accordion, krea2_reference_edit_acc=krea2_reference_edit_accordion, qwen_image_edit_acc=qwen_image_edit_accordion, ref_img_acc=ref_img_accordion, sensenova_ref_acc=sensenova_ref_accordion,
task_type=task_type, type_comp=type_comp, qwen_pe_acc=qwen_pe_accordion, ming_pe_acc=ming_pe_accordion
)
if type_comp:
inputs2.append(type_comp)
model_comp.change(fn=change_fn, inputs=inputs2, outputs=outputs2)
create_lora_event_handlers(prefix, ui_components)
create_controlnet_event_handlers(prefix, ui_components)
create_ipadapter_event_handlers(prefix, ui_components)
create_embedding_event_handlers(prefix, ui_components)
create_conditioning_event_handlers(prefix, ui_components)
create_flux1_ipadapter_event_handlers(prefix, ui_components)
create_sd3_ipadapter_event_handlers(prefix, ui_components)
create_style_event_handlers(prefix, ui_components)
create_reference_latent_event_handlers(prefix, ui_components)
create_hidream_o1_reference_event_handlers(prefix, ui_components)
create_sensenova_reference_event_handlers(prefix, ui_components)
create_joyai_reference_event_handlers(prefix, ui_components)
create_krea2_identity_edit_event_handlers(prefix, ui_components)
create_krea2_reference_edit_event_handlers(prefix, ui_components)
create_qwen_image_edit_event_handlers(prefix, ui_components)
create_reference_image_event_handlers(prefix, ui_components)
create_run_event(prefix, task_type, ui_components)
# Dynamic Type toggle event for unified imagegen UI
if 'type_imagegen' in ui_components:
def on_type_change(type_val, model_name):
from core.settings import MODEL_TYPE_MAP, FEATURES_CONFIG, TASK_FEATURES_CONFIG, ARCHITECTURES_CONFIG
is_txt2img = (type_val == "Txt2Img")
is_img2img = (type_val == "Img2Img")
is_inpaint = (type_val == "Inpaint")
is_outpaint = (type_val == "Outpaint")
is_hires_fix = (type_val == "Hires. Fix")
denoise_val = 0.7 if is_img2img else (1.0 if is_inpaint else (0.55 if is_hires_fix else 0.7))
run_text = "Run Inpaint" if is_inpaint else ("Run Outpaint" if is_outpaint else ("Run Hires. Fix" if is_hires_fix else "Run"))
prompt_lines = 6 if is_inpaint else 3
gallery_cols = 2 if is_txt2img else 1
gallery_height = 627 if is_txt2img else (505 if is_img2img else (510 if is_inpaint else (685 if is_outpaint else 610)))
updates = {
ui_components['image_input_col_imagegen']: gr.update(visible=not is_txt2img),
ui_components['input_image_imagegen']: gr.update(visible=(is_img2img or is_outpaint or is_hires_fix)),
ui_components['inpaint_box_imagegen']: gr.update(visible=is_inpaint),
ui_components['prompt_imagegen']: gr.update(lines=prompt_lines),
ui_components['neg_prompt_imagegen']: gr.update(lines=prompt_lines),
ui_components['aspect_ratio_row_imagegen']: gr.update(visible=is_txt2img),
ui_components['width_height_row_imagegen']: gr.update(visible=is_txt2img),
ui_components['denoise_row_imagegen']: gr.update(visible=(is_img2img or is_inpaint or is_hires_fix)),
ui_components['denoise_imagegen']: gr.update(value=denoise_val),
ui_components['grow_mask_by_imagegen']: gr.update(visible=is_inpaint),
ui_components['outpaint_pads_col_imagegen']: gr.update(visible=is_outpaint),
ui_components['hires_upscaler_row_imagegen']: gr.update(visible=is_hires_fix),
ui_components['run_imagegen']: gr.update(value=run_text),
ui_components['result_imagegen']: gr.update(columns=gallery_cols, height=gallery_height),
}
# Re-evaluate feature accordion visibility based on task + architecture intersection
type_map = {'Txt2Img': 'txt2img', 'Img2Img': 'img2img', 'Inpaint': 'inpaint', 'Outpaint': 'outpaint', 'Hires. Fix': 'hires_fix'}
current_task = type_map.get(type_val, 'txt2img')
m_type = MODEL_TYPE_MAP.get(model_name, "SDXL") if model_name 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_enabled_chains = FEATURES_CONFIG.get(arch_model_type, {}).get('enabled_chains', [])
task_enabled_chains = TASK_FEATURES_CONFIG.get(current_task, {}).get('enabled_chains', [])
enabled_chains = [c for c in arch_enabled_chains if c in task_enabled_chains]
prefix = 'imagegen'
accordion_chain_map = {
f'lora_accordion_{prefix}': 'lora',
f'controlnet_accordion_{prefix}': 'controlnet',
f'ipadapter_accordion_{prefix}': 'ipadapter',
f'sd3_ipadapter_accordion_{prefix}': 'sd3_ipadapter',
f'flux1_ipadapter_accordion_{prefix}': 'flux1_ipadapter',
f'style_accordion_{prefix}': 'style',
f'embedding_accordion_{prefix}': 'embedding',
f'conditioning_accordion_{prefix}': 'conditioning',
f'reference_latent_accordion_{prefix}': 'reference_latent',
f'hidream_o1_reference_accordion_{prefix}': 'hidream_o1_reference',
f'sensenova_reference_accordion_{prefix}': 'sensenova_reference',
f'joyai_reference_accordion_{prefix}': 'joyai_image',
f'krea2_identity_edit_accordion_{prefix}': 'krea2_identity_edit',
f'krea2_reference_edit_accordion_{prefix}': 'krea2_style_reference',
f'qwen_image_edit_accordion_{prefix}': 'qwen_image_edit',
f'reference_image_accordion_{prefix}': 'reference_image',
f'qwen_image_2_1_prompt_enhancer_accordion_{prefix}': 'qwen_image_2_1_prompt_enhancer',
f'ming_image_prompt_enhancer_accordion_{prefix}': 'ming_image_prompt_enhancer',
f'pid_accordion_{prefix}': 'pid',
f'vae_accordion_{prefix}': 'vae',
}
for comp_key, chain_name in accordion_chain_map.items():
comp = ui_components.get(comp_key)
if comp:
updates[comp] = gr.update(visible=(chain_name in enabled_chains))
return updates
type_change_outputs = [
ui_components['image_input_col_imagegen'],
ui_components['input_image_imagegen'],
ui_components['inpaint_box_imagegen'],
ui_components['prompt_imagegen'],
ui_components['neg_prompt_imagegen'],
ui_components['aspect_ratio_row_imagegen'],
ui_components['width_height_row_imagegen'],
ui_components['denoise_row_imagegen'],
ui_components['denoise_imagegen'],
ui_components['grow_mask_by_imagegen'],
ui_components['outpaint_pads_col_imagegen'],
ui_components['hires_upscaler_row_imagegen'],
ui_components['run_imagegen'],
ui_components['result_imagegen'],
]
# Add feature accordion outputs for task-based visibility
accordion_keys = [
'lora_accordion_imagegen', 'controlnet_accordion_imagegen',
'ipadapter_accordion_imagegen',
'sd3_ipadapter_accordion_imagegen', 'flux1_ipadapter_accordion_imagegen',
'style_accordion_imagegen', 'embedding_accordion_imagegen',
'conditioning_accordion_imagegen', 'reference_latent_accordion_imagegen',
'hidream_o1_reference_accordion_imagegen', 'sensenova_reference_accordion_imagegen', 'joyai_reference_accordion_imagegen',
'krea2_identity_edit_accordion_imagegen', 'krea2_reference_edit_accordion_imagegen',
'qwen_image_edit_accordion_imagegen',
'reference_image_accordion_imagegen',
'qwen_image_2_1_prompt_enhancer_accordion_imagegen',
'ming_image_prompt_enhancer_accordion_imagegen',
'pid_accordion_imagegen', 'vae_accordion_imagegen',
]
for key in accordion_keys:
if key in ui_components:
type_change_outputs.append(ui_components[key])
ui_components['type_imagegen'].change(
fn=on_type_change,
inputs=[ui_components['type_imagegen'], ui_components['base_model_imagegen']],
outputs=type_change_outputs,
show_progress=False
)
# Fullscreen view toggle for imagegen
if 'view_mode_imagegen' in ui_components:
def toggle_imagegen_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['type_imagegen']: gr.update(visible=other_elements_visible),
ui_components['prompts_col_imagegen']: gr.update(visible=other_elements_visible),
ui_components['params_and_gallery_row_imagegen']: gr.update(visible=other_elements_visible),
ui_components['accordion_wrapper_imagegen']: gr.update(visible=other_elements_visible),
ui_components['input_image_dict_imagegen']: gr.update(height=editor_height),
}
model_and_run_rows = ui_components.get('model_and_run_row_imagegen', [])
for row in model_and_run_rows:
updates[row] = gr.update(visible=other_elements_visible)
return updates
output_components = [ui_components['type_imagegen']]
model_and_run_rows = ui_components.get('model_and_run_row_imagegen', [])
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_col_imagegen'],
ui_components['params_and_gallery_row_imagegen'],
ui_components['accordion_wrapper_imagegen'],
ui_components['input_image_dict_imagegen']
])
ui_components['view_mode_imagegen'].change(
fn=toggle_imagegen_fullscreen_view,
inputs=[ui_components['view_mode_imagegen']],
outputs=output_components,
show_progress=False
)
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
)
all_load_outputs = []
for prefix in prefixes:
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'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=lambda: run_on_load(ui_components),
outputs=all_load_outputs
)
for prefix in prefixes:
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) |