mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2025-06-09 23:57:14 +00:00
528 lines
18 KiB
Python
528 lines
18 KiB
Python
from __future__ import annotations
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from typing import Union, Any
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from enum import Enum
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from abc import ABC, abstractmethod
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class InputBehavior(str, Enum):
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required = "required"
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optional = "optional"
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# TODO: handle hidden inputs
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def is_class(obj):
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'''
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Returns True if is a class type.
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Returns False if is a class instance.
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'''
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return isinstance(obj, type)
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class NumberDisplay(str, Enum):
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number = "number"
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slider = "slider"
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class IO_V3:
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'''
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Base class for V3 Inputs and Outputs.
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'''
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def __init__(self):
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pass
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def __init_subclass__(cls, io_type, **kwargs):
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cls.io_type = io_type
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super().__init_subclass__(**kwargs)
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class InputV3(IO_V3, io_type=None):
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'''
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Base class for a V3 Input.
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'''
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def __init__(self, id: str, display_name: str=None, behavior=InputBehavior.required, tooltip: str=None, lazy: bool=None):
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super().__init__()
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self.id = id
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self.display_name = display_name
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self.behavior = behavior
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self.tooltip = tooltip
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self.lazy = lazy
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class WidgetInputV3(InputV3, io_type=None):
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'''
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Base class for a V3 Input with widget.
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'''
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def __init__(self, id: str, display_name: str=None, behavior=InputBehavior.required, tooltip: str=None, lazy: bool=None,
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default: Any=None,
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socketless: bool=None, widgetType: str=None):
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super().__init__(id, display_name, behavior, tooltip, lazy)
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self.default = default
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self.socketless = socketless
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self.widgetType = widgetType
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def CustomType(io_type: str) -> type[IO_V3]:
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name = f"{io_type}_IO_V3"
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return type(name, (IO_V3,), {}, io_type=io_type)
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def CustomInput(id: str, io_type: str, display_name: str=None, behavior=InputBehavior.required, tooltip: str=None, lazy: bool=None) -> InputV3:
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'''
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Defines input for 'io_type'. Can be used to stand in for non-core types.
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'''
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input_kwargs = {
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"id": id,
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"display_name": display_name,
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"behavior": behavior,
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"tooltip": tooltip,
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"lazy": lazy,
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}
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return type(f"{io_type}Input", (InputV3,), {}, io_type=io_type)(**input_kwargs)
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def CustomOutput(id: str, io_type: str, display_name: str=None, tooltip: str=None) -> OutputV3:
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'''
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Defines output for 'io_type'. Can be used to stand in for non-core types.
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'''
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input_kwargs = {
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"id": id,
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"display_name": display_name,
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"tooltip": tooltip,
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}
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return type(f"{io_type}Output", (OutputV3,), {}, io_type=io_type)(**input_kwargs)
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class BooleanInput(WidgetInputV3, io_type="BOOLEAN"):
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'''
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Boolean input.
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'''
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def __init__(self, id: str, display_name: str=None, behavior=InputBehavior.required, tooltip: str=None, lazy: bool=None,
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default: bool=None, label_on: str=None, label_off: str=None,
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socketless: bool=None, widgetType: str=None):
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super().__init__(id, display_name, behavior, tooltip, lazy, default, socketless, widgetType)
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self.label_on = label_on
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self.label_off = label_off
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self.default: bool
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class IntegerInput(WidgetInputV3, io_type="INT"):
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'''
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Integer input.
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'''
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def __init__(self, id: str, display_name: str=None, behavior=InputBehavior.required, tooltip: str=None, lazy: bool=None,
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default: int=None, min: int=None, max: int=None, step: int=None, control_after_generate: bool=None,
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display_mode: NumberDisplay=None, socketless: bool=None, widgetType: str=None):
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super().__init__(id, display_name, behavior, tooltip, lazy, default, socketless, widgetType)
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self.min = min
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self.max = max
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self.step = step
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self.control_after_generate = control_after_generate
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self.display_mode = display_mode
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self.default: int
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class FloatInput(WidgetInputV3, io_type="FLOAT"):
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'''
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Float input.
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'''
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def __init__(self, id: str, display_name: str=None, behavior=InputBehavior.required, tooltip: str=None, lazy: bool=None,
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default: float=None, min: float=None, max: float=None, step: float=None, round: float=None,
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display_mode: NumberDisplay=None, socketless: bool=None, widgetType: str=None):
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super().__init__(id, display_name, behavior, tooltip, lazy, default, socketless, widgetType)
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self.default = default
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self.min = min
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self.max = max
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self.step = step
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self.round = round
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self.display_mode = display_mode
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self.default: float
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class StringInput(WidgetInputV3, io_type="STRING"):
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'''
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String input.
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'''
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def __init__(self, id: str, display_name: str=None, behavior=InputBehavior.required, tooltip: str=None, lazy: bool=None,
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multiline=False, placeholder: str=None, default: int=None,
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socketless: bool=None, widgetType: str=None):
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super().__init__(id, display_name, behavior, tooltip, lazy, default, socketless, widgetType)
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self.multiline = multiline
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self.placeholder = placeholder
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self.default: str
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class ComboInput(WidgetInputV3, io_type="COMBO"):
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'''Combo input (dropdown).'''
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def __init__(self, id: str, options: list[str], display_name: str=None, behavior=InputBehavior.required, tooltip: str=None, lazy: bool=None,
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default: str=None, control_after_generate: bool=None,
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socketless: bool=None, widgetType: str=None):
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super().__init__(id, display_name, behavior, tooltip, lazy, default, socketless, widgetType)
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self.multiselect = False
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self.options = options
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self.control_after_generate = control_after_generate
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self.default: str
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class MultiselectComboWidget(ComboInput, io_type="COMBO"):
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'''Multiselect Combo input (dropdown for selecting potentially more than one value).'''
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def __init__(self, id: str, options: list[str], display_name: str=None, behavior=InputBehavior.required, tooltip: str=None, lazy: bool=None,
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default: list[str]=None, placeholder: str=None, chip: bool=None, control_after_generate: bool=None,
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socketless: bool=None, widgetType: str=None):
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super().__init__(id, options, display_name, behavior, tooltip, lazy, default, control_after_generate, socketless, widgetType)
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self.multiselect = True
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self.placeholder = placeholder
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self.chip = chip
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self.default: list[str]
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class ImageInput(InputV3, io_type="IMAGE"):
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'''
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Image input.
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'''
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def __init__(self, id: str, display_name: str=None, behavior=InputBehavior.required, tooltip: str=None):
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super().__init__(id, display_name, behavior, tooltip)
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class MaskInput(InputV3, io_type="MASK"):
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'''
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Mask input.
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'''
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def __init__(self, id: str, display_name: str=None, behavior=InputBehavior.required, tooltip: str=None):
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super().__init__(id, display_name, behavior, tooltip)
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class LatentInput(InputV3, io_type="LATENT"):
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'''
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Latent input.
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'''
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def __init__(self, id: str, display_name: str=None, behavior=InputBehavior.required, tooltip: str=None):
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super().__init__(id, display_name, behavior, tooltip)
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class MultitypedInput(InputV3, io_type="COMFY_MULTITYPED_V3"):
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'''
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Input that permits more than one input type.
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'''
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def __init__(self, id: str, io_types: list[Union[type[IO_V3], InputV3, str]], display_name: str=None, behavior=InputBehavior.required, tooltip: str=None,):
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super().__init__(id, display_name, behavior, tooltip)
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self._io_types = io_types
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@property
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def io_types(self) -> list[type[InputV3]]:
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'''
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Returns list of InputV3 class types permitted.
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'''
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io_types = []
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for x in self._io_types:
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if not is_class(x):
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io_types.append(type(x))
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else:
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io_types.append(x)
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return io_types
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class OutputV3:
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def __init__(self, id: str, display_name: str=None, tooltip: str=None,
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is_output_list=False):
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self.id = id
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self.display_name = display_name
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self.tooltip = tooltip
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self.is_output_list = is_output_list
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def __init_subclass__(cls, io_type, **kwargs):
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cls.io_type = io_type
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super().__init_subclass__(**kwargs)
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class IntegerOutput(OutputV3, io_type="INT"):
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pass
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class FloatOutput(OutputV3, io_type="FLOAT"):
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pass
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class StringOutput(OutputV3, io_type="STRING"):
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pass
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# def __init__(self, id: str, display_name: str=None, tooltip: str=None):
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# super().__init__(id, display_name, tooltip)
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class ImageOutput(OutputV3, io_type="IMAGE"):
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pass
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class MaskOutput(OutputV3, io_type="MASK"):
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pass
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class LatentOutput(OutputV3, io_type="LATENT"):
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pass
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class DynamicInput(InputV3, io_type=None):
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'''
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Abstract class for dynamic input registration.
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'''
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def __init__(self, io_type: str, id: str, display_name: str=None):
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super().__init__(io_type, id, display_name)
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class DynamicOutput(OutputV3, io_type=None):
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'''
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Abstract class for dynamic output registration.
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'''
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def __init__(self, io_type: str, id: str, display_name: str=None):
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super().__init__(io_type, id, display_name)
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class AutoGrowDynamicInput(DynamicInput, io_type="COMFY_MULTIGROW_V3"):
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'''
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Dynamic Input that adds another template_input each time one is provided.
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Additional inputs are forced to have 'InputBehavior.optional'.
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'''
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def __init__(self, id: str, template_input: InputV3, min: int=1, max: int=None):
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super().__init__("AutoGrowDynamicInput", id)
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self.template_input = template_input
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if min is not None:
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assert(min >= 1)
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if max is not None:
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assert(max >= 1)
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self.min = min
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self.max = max
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class ComboDynamicInput(DynamicInput, io_type="COMFY_COMBODYNAMIC_V3"):
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def __init__(self, id: str):
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pass
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AutoGrowDynamicInput(id="dynamic", template_input=ImageInput(id="image"))
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class Hidden(str, Enum):
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'''
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Enumerator for requesting hidden variables in nodes.
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'''
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unique_id = "UNIQUE_ID"
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"""UNIQUE_ID is the unique identifier of the node, and matches the id property of the node on the client side. It is commonly used in client-server communications (see messages)."""
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prompt = "PROMPT"
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"""PROMPT is the complete prompt sent by the client to the server. See the prompt object for a full description."""
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extra_pnginfo = "EXTRA_PNGINFO"
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"""EXTRA_PNGINFO is a dictionary that will be copied into the metadata of any .png files saved. Custom nodes can store additional information in this dictionary for saving (or as a way to communicate with a downstream node)."""
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dynprompt = "DYNPROMPT"
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"""DYNPROMPT is an instance of comfy_execution.graph.DynamicPrompt. It differs from PROMPT in that it may mutate during the course of execution in response to Node Expansion."""
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auth_token_comfy_org = "AUTH_TOKEN_COMFY_ORG"
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"""AUTH_TOKEN_COMFY_ORG is a token acquired from signing into a ComfyOrg account on frontend."""
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api_key_comfy_org = "API_KEY_COMFY_ORG"
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"""API_KEY_COMFY_ORG is an API Key generated by ComfyOrg that allows skipping signing into a ComfyOrg account on frontend."""
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# '''
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# Request hidden value based on hidden_var key.
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# '''
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# def __init__(self, hidden_var: str):
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# self.hidden_var = hidden_var
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# NOTE: does this exist?
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# class HiddenNodeId(Hidden):
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# """UNIQUE_ID is the unique identifier of the node, and matches the id property of the node on the client side. It is commonly used in client-server communications (see messages)."""
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# def __init__(self):
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# super().__init__("NODE_ID")
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# class HiddenUniqueId(Hidden):
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# """UNIQUE_ID is the unique identifier of the node, and matches the id property of the node on the client side. It is commonly used in client-server communications (see messages)."""
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# def __init__(self):
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# super().__init__("UNIQUE_ID")
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# class HiddenPrompt(Hidden):
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# """PROMPT is the complete prompt sent by the client to the server. See the prompt object for a full description."""
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# def __init__(self):
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# super().__init__("PROMPT")
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# class HiddenExtraPngInfo(Hidden):
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# """EXTRA_PNGINFO is a dictionary that will be copied into the metadata of any .png files saved. Custom nodes can store additional information in this dictionary for saving (or as a way to communicate with a downstream node)."""
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# def __init__(self):
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# super().__init__("EXTRA_PNGINFO")
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# class HiddenDynPrompt(Hidden):
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# """DYNPROMPT is an instance of comfy_execution.graph.DynamicPrompt. It differs from PROMPT in that it may mutate during the course of execution in response to Node Expansion."""
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# def __init__(self):
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# super().__init__("DYNPROMPT")
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# class HiddenAuthTokenComfyOrg(Hidden):
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# """Token acquired from signing into a ComfyOrg account on frontend."""
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# def __init__(self):
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# super().__init__("AUTH_TOKEN_COMFY_ORG")
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# class HiddenApiKeyComfyOrg(Hidden):
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# """API Key generated by ComfyOrg that allows skipping signing into a ComfyOrg account on frontend."""
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# def __init__(self):
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# super().__init__("API_KEY_COMFY_ORG")
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# class HiddenParam:
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# def __init__(self):
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# pass
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# def __init_subclass__(cls, hidden_var, **kwargs):
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# cls.hidden_var = hidden_var
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# super().__init_subclass__(**kwargs)
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# def Hidden(hidden_var: str) -> type[HiddenParam]:
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# return type(f"{hidden_var}_HIDDEN", (HiddenParam,), {}, hidden_var=hidden_var)
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class SchemaV3:
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def __init__(self,
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category: str,
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inputs: list[InputV3],
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outputs: list[OutputV3]=None,
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hidden: list[Hidden]=None,
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description: str="",
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is_input_list: bool = False,
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is_output_node: bool=False,
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is_deprecated: bool=False,
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is_experimental: bool=False,
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is_api_node: bool=False,
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):
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self.category = category
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"""The category of the node, as per the "Add Node" menu."""
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self.inputs = inputs
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self.outputs = outputs
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self.hidden = hidden
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self.description = description
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"""Node description, shown as a tooltip when hovering over the node."""
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self.is_input_list = is_input_list
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"""A flag indicating if this node implements the additional code necessary to deal with OUTPUT_IS_LIST nodes.
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All inputs of ``type`` will become ``list[type]``, regardless of how many items are passed in. This also affects ``check_lazy_status``.
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From the docs:
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A node can also override the default input behaviour and receive the whole list in a single call. This is done by setting a class attribute `INPUT_IS_LIST` to ``True``.
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Comfy Docs: https://docs.comfy.org/custom-nodes/backend/lists#list-processing
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"""
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self.is_output_node = is_output_node
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"""Flags this node as an output node, causing any inputs it requires to be executed.
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If a node is not connected to any output nodes, that node will not be executed. Usage::
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OUTPUT_NODE = True
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From the docs:
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By default, a node is not considered an output. Set ``OUTPUT_NODE = True`` to specify that it is.
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Comfy Docs: https://docs.comfy.org/custom-nodes/backend/server_overview#output-node
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"""
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self.is_deprecated = is_deprecated
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"""Flags a node as deprecated, indicating to users that they should find alternatives to this node."""
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self.is_experimental = is_experimental
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"""Flags a node as experimental, informing users that it may change or not work as expected."""
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self.is_api_node = is_api_node
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"""Flags a node as an API node. See: https://docs.comfy.org/tutorials/api-nodes/overview."""
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class ComfyNodeV3(ABC):
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@classmethod
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def GET_SCHEMA(cls) -> SchemaV3:
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"""
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Override this function with one that returns a SchemaV3 instance.
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"""
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return None
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GET_SCHEMA = None
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def __init__(self):
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if self.GET_SCHEMA is None:
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raise Exception("No GET_SCHEMA function was defined for this node.")
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@abstractmethod
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def execute(self, inputs, outputs, hidden, **kwargs):
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pass
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# @classmethod
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# @abstractmethod
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# def INPUTS(cls) -> list[InputV3]:
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# pass
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# @classmethod
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# @abstractmethod
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# def OUTPUTS(cls) -> list[OutputV3]:
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# pass
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# @abstractmethod
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# def execute(self, inputs, outputs, hidden):
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# pass
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# class ComfyNodeV3:
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# INPUTS = [
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# ImageInput("image"),
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# IntegerInput("count", min=1, max=6),
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# ]
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# OUTPUTS = [
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# ]
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# OUTPUTS = [
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# ImageOutput(),
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# ]
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# class CustomInput(InputV3):
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# def __init__(self, id: str, io_type: str):
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# super().__init__(id)
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# IO_TYPE = IO_TYPE
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# class AnimateDiffModelInput(InputV3, io_type="MODEL_M"):
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# def __init__(self):
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# pass
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# def execute(inputs, outputs, hidden):
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# pass
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class ReturnedInputs:
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def __init__(self):
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pass
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class ReturnedOutputs:
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def __init__(self):
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pass
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class NodeOutputV3:
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def __init__(self):
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pass
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class UINodeOutput:
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def __init__(self):
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pass
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class TestNode(ComfyNodeV3):
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SCHEMA = SchemaV3(
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|
category="v3_test",
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|
inputs=[],
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|
)
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|
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|
# @classmethod
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|
# def GET_SCHEMA(cls):
|
|
# return cls.SCHEMA
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|
|
|
@classmethod
|
|
def GET_SCHEMA(cls):
|
|
return cls.SCHEMA
|
|
|
|
def execute(**kwargs):
|
|
pass
|
|
|
|
if __name__ == "__main__":
|
|
print("hello there")
|
|
inputs: list[InputV3] = [
|
|
IntegerInput("my_int"),
|
|
CustomInput("xyz", "XYZ"),
|
|
CustomInput("model1", "MODEL_M"),
|
|
ImageInput("my_image"),
|
|
FloatInput("my_float"),
|
|
MultitypedInput("my_inputs", [CustomType("MODEL_M"), CustomType("XYZ")]),
|
|
]
|
|
|
|
outputs: list[OutputV3] = [
|
|
ImageOutput("image"),
|
|
CustomOutput("xyz", "XYZ")
|
|
]
|
|
|
|
for c in inputs:
|
|
if isinstance(c, MultitypedInput):
|
|
print(f"{c}, {type(c)}, {type(c).io_type}, {c.id}, {[x.io_type for x in c.io_types]}")
|
|
else:
|
|
print(f"{c}, {type(c)}, {type(c).io_type}, {c.id}")
|
|
|
|
for c in outputs:
|
|
print(f"{c}, {type(c)}, {type(c).io_type}, {c.id}")
|
|
|
|
zzz = TestNode()
|