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import json
import gradio as gr
import functools
from copy import copy
from typing import List, Optional, Union, Dict, Tuple, Literal
from dataclasses import dataclass
import numpy as np
from scripts.supported_preprocessor import Preprocessor
from scripts.utils import svg_preprocess, read_image
from scripts import (
global_state,
external_code,
)
from annotator.util import HWC3
from scripts.logging import logger
from scripts.controlnet_ui.openpose_editor import OpenposeEditor
from scripts.controlnet_ui.preset import ControlNetPresetUI
from scripts.controlnet_ui.tool_button import ToolButton
from scripts.controlnet_ui.photopea import Photopea
from scripts.controlnet_ui.advanced_weight_control import AdvancedWeightControl
from scripts.enums import InputMode
from modules import shared
from modules.ui_components import FormRow
@dataclass
class A1111Context:
"""Contains all components from A1111."""
img2img_batch_input_dir: Optional[gr.components.Component] = None
img2img_batch_output_dir: Optional[gr.components.Component] = None
txt2img_submit_button: Optional[gr.components.Component] = None
img2img_submit_button: Optional[gr.components.Component] = None
# Slider controls from A1111 WebUI.
txt2img_w_slider: Optional[gr.components.Component] = None
txt2img_h_slider: Optional[gr.components.Component] = None
img2img_w_slider: Optional[gr.components.Component] = None
img2img_h_slider: Optional[gr.components.Component] = None
img2img_img2img_tab: Optional[gr.components.Component] = None
img2img_img2img_sketch_tab: Optional[gr.components.Component] = None
img2img_batch_tab: Optional[gr.components.Component] = None
img2img_inpaint_tab: Optional[gr.components.Component] = None
img2img_inpaint_sketch_tab: Optional[gr.components.Component] = None
img2img_inpaint_upload_tab: Optional[gr.components.Component] = None
img2img_inpaint_area: Optional[gr.components.Component] = None
# txt2img_enable_hr is only available for A1111 > 1.7.0.
txt2img_enable_hr: Optional[gr.components.Component] = None
setting_sd_model_checkpoint: Optional[gr.components.Component] = None
@property
def img2img_inpaint_tabs(self) -> Tuple[gr.components.Component]:
return (
self.img2img_inpaint_tab,
self.img2img_inpaint_sketch_tab,
self.img2img_inpaint_upload_tab,
)
@property
def img2img_non_inpaint_tabs(self) -> List[gr.components.Component]:
return (
self.img2img_img2img_tab,
self.img2img_img2img_sketch_tab,
self.img2img_batch_tab,
)
@property
def ui_initialized(self) -> bool:
optional_components = {
# Optional components are only available after A1111 v1.7.0.
"img2img_img2img_tab": "img2img_img2img_tab",
"img2img_img2img_sketch_tab": "img2img_img2img_sketch_tab",
"img2img_batch_tab": "img2img_batch_tab",
"img2img_inpaint_tab": "img2img_inpaint_tab",
"img2img_inpaint_sketch_tab": "img2img_inpaint_sketch_tab",
"img2img_inpaint_upload_tab": "img2img_inpaint_upload_tab",
# SDNext does not have this field. Temporarily disable the callback on
# the checkpoint change until we find a way to register an event when
# all A1111 UI components are ready.
"setting_sd_model_checkpoint": "setting_sd_model_checkpoint",
}
return all(
c
for name, c in vars(self).items()
if name not in optional_components.values()
)
def set_component(self, component: gr.components.Component):
id_mapping = {
"img2img_batch_input_dir": "img2img_batch_input_dir",
"img2img_batch_output_dir": "img2img_batch_output_dir",
"txt2img_generate": "txt2img_submit_button",
"img2img_generate": "img2img_submit_button",
"txt2img_width": "txt2img_w_slider",
"txt2img_height": "txt2img_h_slider",
"img2img_width": "img2img_w_slider",
"img2img_height": "img2img_h_slider",
"img2img_img2img_tab": "img2img_img2img_tab",
"img2img_img2img_sketch_tab": "img2img_img2img_sketch_tab",
"img2img_batch_tab": "img2img_batch_tab",
"img2img_inpaint_tab": "img2img_inpaint_tab",
"img2img_inpaint_sketch_tab": "img2img_inpaint_sketch_tab",
"img2img_inpaint_upload_tab": "img2img_inpaint_upload_tab",
"img2img_inpaint_full_res": "img2img_inpaint_area",
"txt2img_hr-checkbox": "txt2img_enable_hr",
# backward compatibility for webui < 1.6.0
"txt2img_enable_hr": "txt2img_enable_hr",
# setting_sd_model_checkpoint is expected to be initialized last.
# "setting_sd_model_checkpoint": "setting_sd_model_checkpoint",
}
elem_id = getattr(component, "elem_id", None)
# Do not set component if it has already been set.
# https://github.com/Mikubill/sd-webui-controlnet/issues/2587
if elem_id in id_mapping and getattr(self, id_mapping[elem_id]) is None:
setattr(self, id_mapping[elem_id], component)
logger.debug(f"Setting {elem_id}.")
logger.debug(
f"A1111 initialized {sum(c is not None for c in vars(self).values())}/{len(vars(self).keys())}."
)
class UiControlNetUnit(external_code.ControlNetUnit):
"""The data class that stores all states of a ControlNetUnit."""
def __init__(
self,
input_mode: InputMode = InputMode.SIMPLE,
batch_images: Optional[Union[str, List[external_code.InputImage]]] = None,
output_dir: str = "",
loopback: bool = False,
merge_gallery_files: List[
Dict[Union[Literal["name"], Literal["data"]], str]
] = [],
use_preview_as_input: bool = False,
generated_image: Optional[np.ndarray] = None,
mask_image: Optional[np.ndarray] = None,
enabled: bool = True,
module: Optional[str] = None,
model: Optional[str] = None,
weight: float = 1.0,
image: Optional[Dict[str, np.ndarray]] = None,
*args,
**kwargs,
):
if use_preview_as_input and generated_image is not None:
input_image = generated_image
module = "none"
else:
input_image = image
# Prefer uploaded mask_image over hand-drawn mask.
if input_image is not None and mask_image is not None:
assert isinstance(input_image, dict)
input_image["mask"] = mask_image
if merge_gallery_files and input_mode == InputMode.MERGE:
input_image = [
{"image": read_image(file["name"])} for file in merge_gallery_files
]
super().__init__(enabled, module, model, weight, input_image, *args, **kwargs)
self.is_ui = True
self.input_mode = input_mode
self.batch_images = batch_images
self.output_dir = output_dir
self.loopback = loopback
def unfold_merged(self) -> List[external_code.ControlNetUnit]:
"""Unfolds a merged unit to multiple units. Keeps the unit merged for
preprocessors that can accept multiple input images.
"""
if self.input_mode != InputMode.MERGE:
return [copy(self)]
if self.accepts_multiple_inputs():
self.input_mode = InputMode.SIMPLE
return [copy(self)]
assert isinstance(self.image, list)
result = []
for image in self.image:
unit = copy(self)
unit.image = image["image"]
unit.input_mode = InputMode.SIMPLE
unit.weight = self.weight / len(self.image)
result.append(unit)
return result
class ControlNetUiGroup(object):
refresh_symbol = "\U0001f504" # 🔄
switch_values_symbol = "\U000021C5" # ⇅
camera_symbol = "\U0001F4F7" # 📷
reverse_symbol = "\U000021C4" # ⇄
tossup_symbol = "\u2934"
trigger_symbol = "\U0001F4A5" # 💥
open_symbol = "\U0001F4DD" # 📝
tooltips = {
"🔄": "Refresh",
"\u2934": "Send dimensions to stable diffusion",
"💥": "Run preprocessor",
"📝": "Open new canvas",
"📷": "Enable webcam",
"⇄": "Mirror webcam",
}
global_batch_input_dir = gr.Textbox(
label="Controlnet input directory",
placeholder="Leave empty to use input directory",
**shared.hide_dirs,
elem_id="controlnet_batch_input_dir",
)
a1111_context = A1111Context()
# All ControlNetUiGroup instances created.
all_ui_groups: List["ControlNetUiGroup"] = []
def __init__(
self,
is_img2img: bool,
default_unit: external_code.ControlNetUnit,
photopea: Optional[Photopea],
):
# Whether callbacks have been registered.
self.callbacks_registered: bool = False
# Whether the render method on this object has been called.
self.ui_initialized: bool = False
self.is_img2img = is_img2img
self.default_unit = default_unit
self.photopea = photopea
self.webcam_enabled = False
self.webcam_mirrored = False
# Note: All gradio elements declared in `render` will be defined as member variable.
# Update counter to trigger a force update of UiControlNetUnit.
# This is useful when a field with no event subscriber available changes.
# e.g. gr.Gallery, gr.State, etc.
self.update_unit_counter = None
self.upload_tab = None
self.image = None
self.generated_image_group = None
self.generated_image = None
self.mask_image_group = None
self.mask_image = None
self.batch_tab = None
self.batch_image_dir = None
self.merge_tab = None
self.merge_gallery = None
self.merge_upload_button = None
self.merge_clear_button = None
self.create_canvas = None
self.canvas_width = None
self.canvas_height = None
self.canvas_create_button = None
self.canvas_cancel_button = None
self.open_new_canvas_button = None
self.webcam_enable = None
self.webcam_mirror = None
self.send_dimen_button = None
self.enabled = None
self.low_vram = None
self.pixel_perfect = None
self.preprocessor_preview = None
self.mask_upload = None
self.type_filter = None
self.module = None
self.trigger_preprocessor = None
self.model = None
self.refresh_models = None
self.weight = None
self.guidance_start = None
self.guidance_end = None
self.advanced = None
self.processor_res = None
self.threshold_a = None
self.threshold_b = None
self.control_mode = None
self.resize_mode = None
self.loopback = None
self.use_preview_as_input = None
self.openpose_editor = None
self.preset_panel = None
self.upload_independent_img_in_img2img = None
self.image_upload_panel = None
self.save_detected_map = None
self.input_mode = gr.State(InputMode.SIMPLE)
self.inpaint_crop_input_image = None
self.hr_option = None
self.advanced_weight_control = AdvancedWeightControl()
self.batch_image_dir_state = None
self.output_dir_state = None
# API-only fields
self.advanced_weighting = gr.State(None)
self.ipadapter_input = gr.State(None)
ControlNetUiGroup.all_ui_groups.append(self)
def render(self, tabname: str, elem_id_tabname: str) -> None:
"""The pure HTML structure of a single ControlNetUnit. Calling this
function will populate `self` with all gradio element declared
in local scope.
Args:
tabname:
elem_id_tabname:
Returns:
None
"""
self.update_unit_counter = gr.Number(value=0, visible=False)
self.openpose_editor = OpenposeEditor()
with gr.Group(visible=not self.is_img2img) as self.image_upload_panel:
self.save_detected_map = gr.Checkbox(value=True, visible=False)
with gr.Tabs():
with gr.Tab(label="Single Image") as self.upload_tab:
with gr.Row(elem_classes=["cnet-image-row"], equal_height=True):
with gr.Group(elem_classes=["cnet-input-image-group"]):
self.image = gr.Image(
source="upload",
brush_radius=20,
mirror_webcam=False,
type="numpy",
tool="sketch",
elem_id=f"{elem_id_tabname}_{tabname}_input_image",
elem_classes=["cnet-image"],
brush_color=shared.opts.img2img_inpaint_mask_brush_color
if hasattr(
shared.opts, "img2img_inpaint_mask_brush_color"
)
else None,
)
self.image.preprocess = functools.partial(
svg_preprocess, preprocess=self.image.preprocess
)
self.openpose_editor.render_upload()
with gr.Group(
visible=False, elem_classes=["cnet-generated-image-group"]
) as self.generated_image_group:
self.generated_image = gr.Image(
value=None,
label="Preprocessor Preview",
elem_id=f"{elem_id_tabname}_{tabname}_generated_image",
elem_classes=["cnet-image"],
interactive=True,
height=242,
) # Gradio's magic number. Only 242 works.
with gr.Group(
elem_classes=["cnet-generated-image-control-group"]
):
if self.photopea:
self.photopea.render_child_trigger()
self.openpose_editor.render_edit()
preview_check_elem_id = f"{elem_id_tabname}_{tabname}_controlnet_preprocessor_preview_checkbox"
preview_close_button_js = f"document.querySelector('#{preview_check_elem_id} input[type=\\'checkbox\\']').click();"
gr.HTML(
value=f"""<a title="Close Preview" onclick="{preview_close_button_js}">Close</a>""",
visible=True,
elem_classes=["cnet-close-preview"],
)
with gr.Group(
visible=False, elem_classes=["cnet-mask-image-group"]
) as self.mask_image_group:
self.mask_image = gr.Image(
value=None,
label="Upload Mask",
elem_id=f"{elem_id_tabname}_{tabname}_mask_image",
elem_classes=["cnet-mask-image"],
interactive=True,
)
with gr.Tab(label="Batch") as self.batch_tab:
self.batch_image_dir = gr.Textbox(
label="Input Directory",
placeholder="Leave empty to use img2img batch controlnet input directory",
elem_id=f"{elem_id_tabname}_{tabname}_batch_image_dir",
)
with gr.Tab(label="Multi-Inputs") as self.merge_tab:
self.merge_gallery = gr.Gallery(
columns=[4], rows=[2], object_fit="contain", height="auto"
)
with gr.Row():
self.merge_upload_button = gr.UploadButton(
"Upload Images",
file_types=["image"],
file_count="multiple",
)
self.merge_clear_button = gr.Button("Clear Images")
if self.photopea:
self.photopea.attach_photopea_output(self.generated_image)
with gr.Accordion(
label="Open New Canvas", visible=False
) as self.create_canvas:
self.canvas_width = gr.Slider(
label="New Canvas Width",
minimum=256,
maximum=1024,
value=512,
step=64,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_canvas_width",
)
self.canvas_height = gr.Slider(
label="New Canvas Height",
minimum=256,
maximum=1024,
value=512,
step=64,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_canvas_height",
)
with gr.Row():
self.canvas_create_button = gr.Button(
value="Create New Canvas",
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_canvas_create_button",
)
self.canvas_cancel_button = gr.Button(
value="Cancel",
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_canvas_cancel_button",
)
with gr.Row(elem_classes="controlnet_image_controls"):
gr.HTML(
value="<p>Set the preprocessor to [invert] If your image has white background and black lines.</p>",
elem_classes="controlnet_invert_warning",
)
self.open_new_canvas_button = ToolButton(
value=ControlNetUiGroup.open_symbol,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_open_new_canvas_button",
tooltip=ControlNetUiGroup.tooltips[ControlNetUiGroup.open_symbol],
)
self.webcam_enable = ToolButton(
value=ControlNetUiGroup.camera_symbol,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_webcam_enable",
tooltip=ControlNetUiGroup.tooltips[ControlNetUiGroup.camera_symbol],
)
self.webcam_mirror = ToolButton(
value=ControlNetUiGroup.reverse_symbol,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_webcam_mirror",
tooltip=ControlNetUiGroup.tooltips[
ControlNetUiGroup.reverse_symbol
],
)
self.send_dimen_button = ToolButton(
value=ControlNetUiGroup.tossup_symbol,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_send_dimen_button",
tooltip=ControlNetUiGroup.tooltips[ControlNetUiGroup.tossup_symbol],
)
with FormRow(elem_classes=["controlnet_main_options"]):
self.enabled = gr.Checkbox(
label="Enable",
value=self.default_unit.enabled,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_enable_checkbox",
elem_classes=["cnet-unit-enabled"],
)
self.low_vram = gr.Checkbox(
label="Low VRAM",
value=self.default_unit.low_vram,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_low_vram_checkbox",
)
self.pixel_perfect = gr.Checkbox(
label="Pixel Perfect",
value=self.default_unit.pixel_perfect,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_pixel_perfect_checkbox",
)
self.preprocessor_preview = gr.Checkbox(
label="Allow Preview",
value=False,
elem_classes=["cnet-allow-preview"],
elem_id=preview_check_elem_id,
visible=not self.is_img2img,
)
self.mask_upload = gr.Checkbox(
label="Mask Upload",
value=False,
elem_classes=["cnet-mask-upload"],
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_mask_upload_checkbox",
visible=not self.is_img2img,
)
self.use_preview_as_input = gr.Checkbox(
label="Preview as Input",
value=False,
elem_classes=["cnet-preview-as-input"],
visible=False,
)
with gr.Row(elem_classes="controlnet_img2img_options"):
if self.is_img2img:
self.upload_independent_img_in_img2img = gr.Checkbox(
label="Upload independent control image",
value=False,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_same_img2img_checkbox",
elem_classes=["cnet-unit-same_img2img"],
)
else:
self.upload_independent_img_in_img2img = None
# Note: The checkbox needs to exist for both img2img and txt2img as infotext
# needs the checkbox value.
self.inpaint_crop_input_image = gr.Checkbox(
label="Crop input image based on A1111 mask",
value=False,
elem_classes=["cnet-crop-input-image"],
visible=False,
)
with gr.Row(elem_classes=["controlnet_control_type", "controlnet_row"]):
self.type_filter = gr.Radio(
Preprocessor.get_all_preprocessor_tags(),
label="Control Type",
value="All",
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_type_filter_radio",
elem_classes="controlnet_control_type_filter_group",
)
with gr.Row(elem_classes=["controlnet_preprocessor_model", "controlnet_row"]):
self.module = gr.Dropdown(
[p.label for p in Preprocessor.get_sorted_preprocessors()],
label="Preprocessor",
value=self.default_unit.module,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_preprocessor_dropdown",
)
self.trigger_preprocessor = ToolButton(
value=ControlNetUiGroup.trigger_symbol,
visible=not self.is_img2img,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_trigger_preprocessor",
elem_classes=["cnet-run-preprocessor"],
tooltip=ControlNetUiGroup.tooltips[ControlNetUiGroup.trigger_symbol],
)
self.model = gr.Dropdown(
list(global_state.cn_models.keys()),
label="Model",
value=self.default_unit.model,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_model_dropdown",
)
self.refresh_models = ToolButton(
value=ControlNetUiGroup.refresh_symbol,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_refresh_models",
tooltip=ControlNetUiGroup.tooltips[ControlNetUiGroup.refresh_symbol],
)
with gr.Row(elem_classes=["controlnet_weight_steps", "controlnet_row"]):
self.weight = gr.Slider(
label="Control Weight",
value=self.default_unit.weight,
minimum=0.0,
maximum=2.0,
step=0.05,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_control_weight_slider",
elem_classes="controlnet_control_weight_slider",
)
self.guidance_start = gr.Slider(
label="Starting Control Step",
value=self.default_unit.guidance_start,
minimum=0.0,
maximum=1.0,
interactive=True,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_start_control_step_slider",
elem_classes="controlnet_start_control_step_slider",
)
self.guidance_end = gr.Slider(
label="Ending Control Step",
value=self.default_unit.guidance_end,
minimum=0.0,
maximum=1.0,
interactive=True,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_ending_control_step_slider",
elem_classes="controlnet_ending_control_step_slider",
)
# advanced options
with gr.Column(visible=False) as self.advanced:
self.processor_res = gr.Slider(
label="Preprocessor resolution",
value=self.default_unit.processor_res,
minimum=64,
maximum=2048,
visible=False,
interactive=True,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_preprocessor_resolution_slider",
)
self.threshold_a = gr.Slider(
label="Threshold A",
value=self.default_unit.threshold_a,
minimum=64,
maximum=1024,
visible=False,
interactive=True,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_threshold_A_slider",
)
self.threshold_b = gr.Slider(
label="Threshold B",
value=self.default_unit.threshold_b,
minimum=64,
maximum=1024,
visible=False,
interactive=True,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_threshold_B_slider",
)
self.control_mode = gr.Radio(
choices=[e.value for e in external_code.ControlMode],
value=self.default_unit.control_mode.value,
label="Control Mode",
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_control_mode_radio",
elem_classes="controlnet_control_mode_radio",
)
self.resize_mode = gr.Radio(
choices=[e.value for e in external_code.ResizeMode],
value=self.default_unit.resize_mode.value,
label="Resize Mode",
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_resize_mode_radio",
elem_classes="controlnet_resize_mode_radio",
visible=not self.is_img2img,
)
self.hr_option = gr.Radio(
choices=[e.value for e in external_code.HiResFixOption],
value=self.default_unit.hr_option.value,
label="Hires-Fix Option",
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_hr_option_radio",
elem_classes="controlnet_hr_option_radio",
visible=False,
)
self.loopback = gr.Checkbox(
label="[Batch Loopback] Automatically send generated images to this ControlNet unit in batch generation",
value=self.default_unit.loopback,
elem_id=f"{elem_id_tabname}_{tabname}_controlnet_automatically_send_generated_images_checkbox",
elem_classes="controlnet_loopback_checkbox",
visible=False,
)
self.advanced_weight_control.render()
self.preset_panel = ControlNetPresetUI(
id_prefix=f"{elem_id_tabname}_{tabname}_"
)
self.batch_image_dir_state = gr.State("")
self.output_dir_state = gr.State("")
unit_args = (
self.input_mode,
self.batch_image_dir_state,
self.output_dir_state,
self.loopback,
# Non-persistent fields.
# Following inputs will not be persistent on `ControlNetUnit`.
# They are only used during object construction.
self.merge_gallery,
self.use_preview_as_input,
self.generated_image,
self.mask_image,
# End of Non-persistent fields.
self.enabled,
self.module,
self.model,
self.weight,
self.image,
self.resize_mode,
self.low_vram,
self.processor_res,
self.threshold_a,
self.threshold_b,
self.guidance_start,
self.guidance_end,
self.pixel_perfect,
self.control_mode,
self.inpaint_crop_input_image,
self.hr_option,
self.save_detected_map,
self.advanced_weighting,
)
unit = gr.State(self.default_unit)
for comp in unit_args + (self.update_unit_counter,):
event_subscribers = []
if hasattr(comp, "edit"):
event_subscribers.append(comp.edit)
elif hasattr(comp, "click"):
event_subscribers.append(comp.click)
elif isinstance(comp, gr.Slider) and hasattr(comp, "release"):
event_subscribers.append(comp.release)
elif hasattr(comp, "change"):
event_subscribers.append(comp.change)
if hasattr(comp, "clear"):
event_subscribers.append(comp.clear)
for event_subscriber in event_subscribers:
event_subscriber(
fn=UiControlNetUnit, inputs=list(unit_args), outputs=unit
)
(
ControlNetUiGroup.a1111_context.img2img_submit_button
if self.is_img2img
else ControlNetUiGroup.a1111_context.txt2img_submit_button
).click(
fn=UiControlNetUnit,
inputs=list(unit_args),
outputs=unit,
queue=False,
)
self.register_core_callbacks()
self.ui_initialized = True
return unit
def register_send_dimensions(self):
"""Register event handler for send dimension button."""
def send_dimensions(image):
def closesteight(num):
rem = num % 8
if rem <= 4:
return round(num - rem)
else:
return round(num + (8 - rem))
if image:
interm = np.asarray(image.get("image"))
return closesteight(interm.shape[1]), closesteight(interm.shape[0])
else:
return gr.Slider.update(), gr.Slider.update()
outputs = (
[
ControlNetUiGroup.a1111_context.img2img_w_slider,
ControlNetUiGroup.a1111_context.img2img_h_slider,
]
if self.is_img2img
else [
ControlNetUiGroup.a1111_context.txt2img_w_slider,
ControlNetUiGroup.a1111_context.txt2img_h_slider,
]
)
self.send_dimen_button.click(
fn=send_dimensions,
inputs=[self.image],
outputs=outputs,
show_progress=False,
)
def register_webcam_toggle(self):
def webcam_toggle():
self.webcam_enabled = not self.webcam_enabled
return {
"value": None,
"source": "webcam" if self.webcam_enabled else "upload",
"__type__": "update",
}
self.webcam_enable.click(
webcam_toggle, inputs=None, outputs=self.image, show_progress=False
)
def register_webcam_mirror_toggle(self):
def webcam_mirror_toggle():
self.webcam_mirrored = not self.webcam_mirrored
return {"mirror_webcam": self.webcam_mirrored, "__type__": "update"}
self.webcam_mirror.click(
webcam_mirror_toggle, inputs=None, outputs=self.image, show_progress=False
)
def register_refresh_all_models(self):
def refresh_all_models(model: str):
global_state.update_cn_models()
choices = list(global_state.cn_models.keys())
return gr.Dropdown.update(
value=model if model in global_state.cn_models else "None",
choices=choices,
)
self.refresh_models.click(
refresh_all_models,
inputs=[self.model],
outputs=[self.model],
show_progress=False,
)
def register_build_sliders(self):
def build_sliders(module: str, pp: bool):
preprocessor = Preprocessor.get_preprocessor(module)
slider_resolution_kwargs = preprocessor.slider_resolution.gradio_update_kwargs.copy()
if pp:
slider_resolution_kwargs['visible'] = False
grs = [
gr.update(**slider_resolution_kwargs),
gr.update(**preprocessor.slider_1.gradio_update_kwargs.copy()),
gr.update(**preprocessor.slider_2.gradio_update_kwargs.copy()),
gr.update(visible=True),
gr.update(visible=not preprocessor.do_not_need_model),
gr.update(visible=not preprocessor.do_not_need_model),
gr.update(visible=preprocessor.show_control_mode),
]
return grs
inputs = [
self.module,
self.pixel_perfect,
]
outputs = [
self.processor_res,
self.threshold_a,
self.threshold_b,
self.advanced,
self.model,
self.refresh_models,
self.control_mode,
]
self.module.change(
build_sliders, inputs=inputs, outputs=outputs, show_progress=False
)
self.pixel_perfect.change(
build_sliders, inputs=inputs, outputs=outputs, show_progress=False
)
def filter_selected(k: str):
logger.debug(f"Switch to control type {k}")
(
filtered_preprocessor_list,
filtered_model_list,
default_option,
default_model,
) = global_state.select_control_type(k, global_state.get_sd_version())
return [
gr.Dropdown.update(
value=default_option, choices=filtered_preprocessor_list
),
gr.Dropdown.update(
value=default_model, choices=filtered_model_list
),
]
self.type_filter.change(
fn=filter_selected,
inputs=[self.type_filter],
outputs=[self.module, self.model],
show_progress=False,
)
def register_sd_version_changed(self):
def sd_version_changed(type_filter: str, current_model: str):
"""When SD version changes, update model dropdown choices."""
(
filtered_preprocessor_list,
filtered_model_list,
default_option,
default_model,
) = global_state.select_control_type(
type_filter, global_state.get_sd_version()
)
if current_model in filtered_model_list:
return gr.update()
return gr.Dropdown.update(
value=default_model,
choices=filtered_model_list,
)
if ControlNetUiGroup.a1111_context.setting_sd_model_checkpoint:
ControlNetUiGroup.a1111_context.setting_sd_model_checkpoint.change(
fn=sd_version_changed,
inputs=[self.type_filter, self.model],
outputs=[self.model],
show_progress=False,
)
def register_run_annotator(self):
def run_annotator(image, module, pres, pthr_a, pthr_b, t2i_w, t2i_h, pp, rm, model: str):
if image is None:
return (
gr.update(value=None, visible=True),
gr.update(),
*self.openpose_editor.update(""),
)
img = HWC3(image["image"])
has_mask = not (
(image["mask"][:, :, 0] <= 5).all()
or (image["mask"][:, :, 0] >= 250).all()
)
if "inpaint" in module:
color = HWC3(image["image"])
alpha = image["mask"][:, :, 0:1]
img = np.concatenate([color, alpha], axis=2)
elif has_mask and not shared.opts.data.get(
"controlnet_ignore_noninpaint_mask", False
):
img = HWC3(image["mask"][:, :, 0])
preprocessor = Preprocessor.get_preprocessor(module)
if pp:
pres = external_code.pixel_perfect_resolution(
img,
target_H=t2i_h,
target_W=t2i_w,
resize_mode=external_code.resize_mode_from_value(rm),
)
class JsonAcceptor:
def __init__(self) -> None:
self.value = ""
def accept(self, json_dict: dict) -> None:
self.value = json.dumps(json_dict)
json_acceptor = JsonAcceptor()
logger.info(f"Preview Resolution = {pres}")
def is_openpose(module: str):
return "openpose" in module
# Only openpose preprocessor returns a JSON output, pass json_acceptor
# only when a JSON output is expected. This will make preprocessor cache
# work for all other preprocessors other than openpose ones. JSON acceptor
# instance are different every call, which means cache will never take
# effect.
# TODO: Maybe we should let `preprocessor` return a Dict to alleviate this issue?
# This requires changing all callsites though.
result = preprocessor.cached_call(
img,
resolution=pres,
slider_1=pthr_a,
slider_2=pthr_b,
low_vram=(
("clip" in module or module == "ip-adapter_face_id_plus")
and shared.opts.data.get("controlnet_clip_detector_on_cpu", False)
),
json_pose_callback=(
json_acceptor.accept
if is_openpose(module)
else None
),
model=model,
)
if not preprocessor.returns_image:
result = img
result = external_code.visualize_inpaint_mask(result)
return (
# Update to `generated_image`
gr.update(value=result, visible=True, interactive=False),
# preprocessor_preview
gr.update(value=True),
# openpose editor
*self.openpose_editor.update(json_acceptor.value),
)
self.trigger_preprocessor.click(
fn=run_annotator,
inputs=[
self.image,
self.module,
self.processor_res,
self.threshold_a,
self.threshold_b,
ControlNetUiGroup.a1111_context.img2img_w_slider
if self.is_img2img
else ControlNetUiGroup.a1111_context.txt2img_w_slider,
ControlNetUiGroup.a1111_context.img2img_h_slider
if self.is_img2img
else ControlNetUiGroup.a1111_context.txt2img_h_slider,
self.pixel_perfect,
self.resize_mode,
self.model,
],
outputs=[
self.generated_image,
self.preprocessor_preview,
*self.openpose_editor.outputs(),
],
)
def register_shift_preview(self):
def shift_preview(is_on):
return (
# generated_image
gr.update() if is_on else gr.update(value=None),
# generated_image_group
gr.update(visible=is_on),
# use_preview_as_input,
gr.update(visible=False), # Now this is automatically managed
# download_pose_link
gr.update() if is_on else gr.update(value=None),
# modal edit button
gr.update() if is_on else gr.update(visible=False),
)
self.preprocessor_preview.change(
fn=shift_preview,
inputs=[self.preprocessor_preview],
outputs=[
self.generated_image,
self.generated_image_group,
self.use_preview_as_input,
self.openpose_editor.download_link,
self.openpose_editor.modal,
],
show_progress=False,
)
def register_create_canvas(self):
self.open_new_canvas_button.click(
lambda: gr.Accordion.update(visible=True),
inputs=None,
outputs=self.create_canvas,
show_progress=False,
)
self.canvas_cancel_button.click(
lambda: gr.Accordion.update(visible=False),
inputs=None,
outputs=self.create_canvas,
show_progress=False,
)
def fn_canvas(h, w):
return np.zeros(shape=(h, w, 3), dtype=np.uint8) + 255, gr.Accordion.update(
visible=False
)
self.canvas_create_button.click(
fn=fn_canvas,
inputs=[self.canvas_height, self.canvas_width],
outputs=[self.image, self.create_canvas],
show_progress=False,
)
def register_img2img_same_input(self):
def fn_same_checked(x):
return [
gr.update(value=None),
gr.update(value=None),
gr.update(value=False, visible=x),
] + [gr.update(visible=x)] * 4
self.upload_independent_img_in_img2img.change(
fn_same_checked,
inputs=self.upload_independent_img_in_img2img,
outputs=[
self.image,
self.batch_image_dir,
self.preprocessor_preview,
self.image_upload_panel,
self.trigger_preprocessor,
self.loopback,
self.resize_mode,
],
show_progress=False,
)
def register_shift_crop_input_image(self):
# A1111 < 1.7.0 compatibility.
if any(c is None for c in ControlNetUiGroup.a1111_context.img2img_inpaint_tabs):
self.inpaint_crop_input_image.visible = True
self.inpaint_crop_input_image.value = True
return
is_inpaint_tab = gr.State(False)
def shift_crop_input_image(is_inpaint: bool, inpaint_area: int):
# Note: inpaint_area (0: Whole picture, 1: Only masked)
# By default set value to True, as most preprocessors need cropped result.
return gr.update(value=True, visible=is_inpaint and inpaint_area == 1)
gradio_kwargs = dict(
fn=shift_crop_input_image,
inputs=[
is_inpaint_tab,
ControlNetUiGroup.a1111_context.img2img_inpaint_area,
],
outputs=[self.inpaint_crop_input_image],
show_progress=False,
)
for elem in ControlNetUiGroup.a1111_context.img2img_inpaint_tabs:
elem.select(fn=lambda: True, inputs=[], outputs=[is_inpaint_tab]).then(
**gradio_kwargs
)
for elem in ControlNetUiGroup.a1111_context.img2img_non_inpaint_tabs:
elem.select(fn=lambda: False, inputs=[], outputs=[is_inpaint_tab]).then(
**gradio_kwargs
)
ControlNetUiGroup.a1111_context.img2img_inpaint_area.change(**gradio_kwargs)
def register_shift_hr_options(self):
# A1111 version < 1.6.0.
if not ControlNetUiGroup.a1111_context.txt2img_enable_hr:
return
ControlNetUiGroup.a1111_context.txt2img_enable_hr.change(
fn=lambda checked: gr.update(visible=checked),
inputs=[ControlNetUiGroup.a1111_context.txt2img_enable_hr],
outputs=[self.hr_option],
show_progress=False,
)
def register_shift_upload_mask(self):
"""Controls whether the upload mask input should be visible."""
self.mask_upload.change(
fn=lambda checked: (
# Clear mask_image if unchecked.
(gr.update(visible=False), gr.update(value=None))
if not checked
else (gr.update(visible=True), gr.update())
),
inputs=[self.mask_upload],
outputs=[self.mask_image_group, self.mask_image],
show_progress=False,
)
if self.upload_independent_img_in_img2img is not None:
self.upload_independent_img_in_img2img.change(
fn=lambda checked: (
# Uncheck `upload_mask` when not using independent input.
gr.update(visible=False, value=False)
if not checked
else gr.update(visible=True)
),
inputs=[self.upload_independent_img_in_img2img],
outputs=[self.mask_upload],
show_progress=False,
)
def register_sync_batch_dir(self):
def determine_batch_dir(batch_dir, fallback_dir, fallback_fallback_dir):
if batch_dir:
return batch_dir
elif fallback_dir:
return fallback_dir
else:
return fallback_fallback_dir
batch_dirs = [
self.batch_image_dir,
ControlNetUiGroup.global_batch_input_dir,
ControlNetUiGroup.a1111_context.img2img_batch_input_dir,
]
for batch_dir_comp in batch_dirs:
subscriber = getattr(batch_dir_comp, "blur", None)
if subscriber is None:
continue
subscriber(
fn=determine_batch_dir,
inputs=batch_dirs,
outputs=[self.batch_image_dir_state],
queue=False,
)
ControlNetUiGroup.a1111_context.img2img_batch_output_dir.blur(
fn=lambda a: a,
inputs=[ControlNetUiGroup.a1111_context.img2img_batch_output_dir],
outputs=[self.output_dir_state],
queue=False,
)
def register_clear_preview(self):
def clear_preview(x):
if x:
logger.info("Preview as input is cancelled.")
return gr.update(value=False), gr.update(value=None)
for comp in (
self.pixel_perfect,
self.module,
self.image,
self.processor_res,
self.threshold_a,
self.threshold_b,
self.upload_independent_img_in_img2img,
):
event_subscribers = []
if hasattr(comp, "edit"):
event_subscribers.append(comp.edit)
elif hasattr(comp, "click"):
event_subscribers.append(comp.click)
elif isinstance(comp, gr.Slider) and hasattr(comp, "release"):
event_subscribers.append(comp.release)
elif hasattr(comp, "change"):
event_subscribers.append(comp.change)
if hasattr(comp, "clear"):
event_subscribers.append(comp.clear)
for event_subscriber in event_subscribers:
event_subscriber(
fn=clear_preview,
inputs=self.use_preview_as_input,
outputs=[self.use_preview_as_input, self.generated_image],
)
def register_multi_images_upload(self):
"""Register callbacks on merge tab multiple images upload."""
self.merge_clear_button.click(
fn=lambda: [],
inputs=[],
outputs=[self.merge_gallery],
).then(
fn=lambda x: gr.update(value=x + 1),
inputs=[self.update_unit_counter],
outputs=[self.update_unit_counter],
)
def upload_file(files, current_files):
return {file_d["name"] for file_d in current_files} | {
file.name for file in files
}
self.merge_upload_button.upload(
upload_file,
inputs=[self.merge_upload_button, self.merge_gallery],
outputs=[self.merge_gallery],
queue=False,
).then(
fn=lambda x: gr.update(value=x + 1),
inputs=[self.update_unit_counter],
outputs=[self.update_unit_counter],
)
def register_core_callbacks(self):
"""Register core callbacks that only involves gradio components defined
within this ui group."""
self.register_webcam_toggle()
self.register_webcam_mirror_toggle()
self.register_refresh_all_models()
self.register_build_sliders()
self.register_shift_preview()
self.register_shift_upload_mask()
self.register_create_canvas()
self.register_clear_preview()
self.register_multi_images_upload()
self.openpose_editor.register_callbacks(
self.generated_image,
self.use_preview_as_input,
self.model,
)
assert self.type_filter is not None
self.preset_panel.register_callbacks(
self,
self.type_filter,
*[
getattr(self, key)
for key in vars(external_code.ControlNetUnit()).keys()
],
)
self.advanced_weight_control.register_callbacks(
self.weight,
self.advanced_weighting,
self.type_filter,
self.update_unit_counter,
)
if self.is_img2img:
self.register_img2img_same_input()
def register_callbacks(self):
"""Register callbacks that involves A1111 context gradio components."""
# Prevent infinite recursion.
if self.callbacks_registered:
return
self.callbacks_registered = True
self.register_sd_version_changed()
self.register_send_dimensions()
self.register_run_annotator()
self.register_sync_batch_dir()
if self.is_img2img:
self.register_shift_crop_input_image()
else:
self.register_shift_hr_options()
@staticmethod
def register_input_mode_sync(ui_groups: List["ControlNetUiGroup"]):
"""
- ui_group.input_mode should be updated when user switch tabs.
- Loopback checkbox should only be visible if at least one ControlNet unit
is set to batch mode.
Argument:
ui_groups: All ControlNetUiGroup instances defined in current Script context.
Returns:
None
"""
if not ui_groups:
return
for ui_group in ui_groups:
batch_fn = lambda: InputMode.BATCH
simple_fn = lambda: InputMode.SIMPLE
merge_fn = lambda: InputMode.MERGE
for input_tab, fn in (
(ui_group.upload_tab, simple_fn),
(ui_group.batch_tab, batch_fn),
(ui_group.merge_tab, merge_fn),
):
# Sync input_mode.
input_tab.select(
fn=fn,
inputs=[],
outputs=[ui_group.input_mode],
show_progress=False,
).then(
# Update visibility of loopback checkbox.
fn=lambda *mode_values: (
(
gr.update(
visible=any(m == InputMode.BATCH for m in mode_values)
),
)
* len(ui_groups)
),
inputs=[g.input_mode for g in ui_groups],
outputs=[g.loopback for g in ui_groups],
show_progress=False,
)
@staticmethod
def reset():
ControlNetUiGroup.a1111_context = A1111Context()
ControlNetUiGroup.all_ui_groups = []
@staticmethod
def try_register_all_callbacks():
unit_count = shared.opts.data.get("control_net_unit_count", 3)
all_unit_count = unit_count * 2 # txt2img + img2img.
if (
# All A1111 components ControlNet units care about are all registered.
ControlNetUiGroup.a1111_context.ui_initialized
and all_unit_count == len(ControlNetUiGroup.all_ui_groups)
and all(
g.ui_initialized and (not g.callbacks_registered)
for g in ControlNetUiGroup.all_ui_groups
)
):
for ui_group in ControlNetUiGroup.all_ui_groups:
ui_group.register_callbacks()
ControlNetUiGroup.register_input_mode_sync(
[g for g in ControlNetUiGroup.all_ui_groups if g.is_img2img]
)
ControlNetUiGroup.register_input_mode_sync(
[g for g in ControlNetUiGroup.all_ui_groups if not g.is_img2img]
)
logger.info("ControlNet UI callback registered.")
@staticmethod
def on_after_component(component, **_kwargs):
"""Register the A1111 component."""
if getattr(component, "elem_id", None) == "img2img_batch_inpaint_mask_dir":
ControlNetUiGroup.global_batch_input_dir.render()
return
ControlNetUiGroup.a1111_context.set_component(component)
ControlNetUiGroup.try_register_all_callbacks()
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