2025-05-27 15:02:17 -07:00

528 lines
18 KiB
Python

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