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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) |