Merge pull request #9036 from comfyanonymous/v3-definition-wip

V3 update - refactored v3/io.py+ui.py+resources.py to get closer to Core API support
This commit is contained in:
Jedrzej Kosinski 2025-07-24 17:18:56 -07:00 committed by GitHub
commit ed95d603df
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7 changed files with 158 additions and 63 deletions

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@ -36,6 +36,13 @@ class _ComfyNodeInternal:
...
class _NodeOutputInternal:
"""Class that all V3-based APIs inherit from for NodeOutput.
This is intended to only be referenced within execution.py, as it has to handle all V3 APIs going forward."""
...
def as_pruned_dict(dataclass_obj):
'''Return dict of dataclass object with pruned None values.'''
return prune_dict(asdict(dataclass_obj))

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@ -0,0 +1,9 @@
from comfy_api.v3._io import _IO
from comfy_api.v3._ui import _UI
from comfy_api.v3._resources import _RESOURCES
io = _IO
ui = _UI
resources = _RESOURCES
__all__ = ["io", "ui", "resources"]

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@ -22,14 +22,13 @@ from comfy.samplers import CFGGuider, Sampler
from comfy.sd import CLIP, VAE
from comfy.sd import StyleModel as StyleModel_
from comfy_api.input import VideoInput
from comfy_api.internal import (_ComfyNodeInternal, classproperty, copy_class, first_real_override, is_class,
from comfy_api.internal import (_ComfyNodeInternal, _NodeOutputInternal, classproperty, copy_class, first_real_override, is_class,
prune_dict, shallow_clone_class)
from comfy_api.v3.resources import Resources, ResourcesLocal
from comfy_api.v3._resources import Resources, ResourcesLocal
from comfy_execution.graph import ExecutionBlocker
# from comfy_extras.nodes_images import SVG as SVG_ # NOTE: needs to be moved before can be imported due to circular reference
class FolderType(str, Enum):
input = "input"
output = "output"
@ -157,7 +156,7 @@ class _IO_V3:
def Type(self):
return self.Parent.Type
class InputV3(_IO_V3):
class Input(_IO_V3):
'''
Base class for a V3 Input.
'''
@ -181,7 +180,7 @@ class InputV3(_IO_V3):
def get_io_type(self):
return _StringIOType(self.io_type)
class WidgetInputV3(InputV3):
class WidgetInput(Input):
'''
Base class for a V3 Input with widget.
'''
@ -206,7 +205,7 @@ class WidgetInputV3(InputV3):
return self.widget_type if self.widget_type is not None else super().get_io_type()
class OutputV3(_IO_V3):
class Output(_IO_V3):
def __init__(self, id: str=None, display_name: str=None, tooltip: str=None,
is_output_list=False):
self.id = id
@ -227,12 +226,12 @@ class OutputV3(_IO_V3):
class ComfyTypeI(_ComfyType):
'''ComfyType subclass that only has a default Input class - intended for types that only have Inputs.'''
class Input(InputV3):
class Input(Input):
...
class ComfyTypeIO(ComfyTypeI):
'''ComfyType subclass that has default Input and Output classes; useful for types with both Inputs and Outputs.'''
class Output(OutputV3):
class Output(Output):
...
@ -240,7 +239,7 @@ class ComfyTypeIO(ComfyTypeI):
class Boolean(ComfyTypeIO):
Type = bool
class Input(WidgetInputV3):
class Input(WidgetInput):
'''Boolean input.'''
def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None,
default: bool=None, label_on: str=None, label_off: str=None,
@ -260,7 +259,7 @@ class Boolean(ComfyTypeIO):
class Int(ComfyTypeIO):
Type = int
class Input(WidgetInputV3):
class Input(WidgetInput):
'''Integer input.'''
def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None,
default: int=None, min: int=None, max: int=None, step: int=None, control_after_generate: bool=None,
@ -286,7 +285,7 @@ class Int(ComfyTypeIO):
class Float(ComfyTypeIO):
Type = float
class Input(WidgetInputV3):
class Input(WidgetInput):
'''Float input.'''
def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None,
default: float=None, min: float=None, max: float=None, step: float=None, round: float=None,
@ -312,7 +311,7 @@ class Float(ComfyTypeIO):
class String(ComfyTypeIO):
Type = str
class Input(WidgetInputV3):
class Input(WidgetInput):
'''String input.'''
def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None,
multiline=False, placeholder: str=None, default: str=None, dynamic_prompts: bool=None,
@ -333,7 +332,7 @@ class String(ComfyTypeIO):
@comfytype(io_type="COMBO")
class Combo(ComfyTypeI):
Type = str
class Input(WidgetInputV3):
class Input(WidgetInput):
"""Combo input (dropdown)."""
Type = str
def __init__(self, id: str, options: list[str]=None, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None,
@ -398,7 +397,7 @@ class WanCameraEmbedding(ComfyTypeIO):
class Webcam(ComfyTypeIO):
Type = str
class Input(WidgetInputV3):
class Input(WidgetInput):
"""Webcam input."""
Type = str
def __init__(
@ -715,14 +714,14 @@ class AnyType(ComfyTypeIO):
@comfytype(io_type="COMFY_MULTITYPED_V3")
class MultiType:
Type = Any
class Input(InputV3):
class Input(Input):
'''
Input that permits more than one input type; if `id` is an instance of `ComfyType.Input`, then that input will be used to create a widget (if applicable) with overridden values.
'''
def __init__(self, id: str | InputV3, types: list[type[_ComfyType] | _ComfyType], display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, extra_dict=None):
def __init__(self, id: str | Input, types: list[type[_ComfyType] | _ComfyType], display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, extra_dict=None):
# if id is an Input, then use that Input with overridden values
self.input_override = None
if isinstance(id, InputV3):
if isinstance(id, Input):
self.input_override = copy.copy(id)
optional = id.optional if id.optional is True else optional
tooltip = id.tooltip if id.tooltip is not None else tooltip
@ -730,13 +729,13 @@ class MultiType:
lazy = id.lazy if id.lazy is not None else lazy
id = id.id
# if is a widget input, make sure widget_type is set appropriately
if isinstance(self.input_override, WidgetInputV3):
if isinstance(self.input_override, WidgetInput):
self.input_override.widget_type = self.input_override.get_io_type()
super().__init__(id, display_name, optional, tooltip, lazy, extra_dict)
self._io_types = types
@property
def io_types(self) -> list[type[InputV3]]:
def io_types(self) -> list[type[Input]]:
'''
Returns list of InputV3 class types permitted.
'''
@ -761,15 +760,15 @@ class MultiType:
else:
return super().as_dict()
class DynamicInput(InputV3, ABC):
class DynamicInput(Input, ABC):
'''
Abstract class for dynamic input registration.
'''
@abstractmethod
def get_dynamic(self) -> list[InputV3]:
def get_dynamic(self) -> list[Input]:
...
class DynamicOutput(OutputV3, ABC):
class DynamicOutput(Output, ABC):
'''
Abstract class for dynamic output registration.
'''
@ -778,7 +777,7 @@ class DynamicOutput(OutputV3, ABC):
super().__init__(id, display_name, tooltip, is_output_list)
@abstractmethod
def get_dynamic(self) -> list[OutputV3]:
def get_dynamic(self) -> list[Output]:
...
@ -786,7 +785,7 @@ class DynamicOutput(OutputV3, ABC):
class AutogrowDynamic(ComfyTypeI):
Type = list[Any]
class Input(DynamicInput):
def __init__(self, id: str, template_input: InputV3, min: int=1, max: int=None,
def __init__(self, id: str, template_input: Input, min: int=1, max: int=None,
display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, extra_dict=None):
super().__init__(id, display_name, optional, tooltip, lazy, extra_dict)
self.template_input = template_input
@ -797,7 +796,7 @@ class AutogrowDynamic(ComfyTypeI):
self.min = min
self.max = max
def get_dynamic(self) -> list[InputV3]:
def get_dynamic(self) -> list[Input]:
curr_count = 1
new_inputs = []
for i in range(self.min):
@ -806,7 +805,7 @@ class AutogrowDynamic(ComfyTypeI):
if new_input.display_name is not None:
new_input.display_name = f"{new_input.display_name}{curr_count}"
new_input.optional = self.optional or new_input.optional
if isinstance(self.template_input, WidgetInputV3):
if isinstance(self.template_input, WidgetInput):
new_input.force_input = True
new_inputs.append(new_input)
curr_count += 1
@ -817,17 +816,17 @@ class AutogrowDynamic(ComfyTypeI):
if new_input.display_name is not None:
new_input.display_name = f"{new_input.display_name}{curr_count}"
new_input.optional = True
if isinstance(self.template_input, WidgetInputV3):
if isinstance(self.template_input, WidgetInput):
new_input.force_input = True
new_inputs.append(new_input)
curr_count += 1
return new_inputs
# io_type="COMFY_COMBODYNAMIC_V3"
class ComboDynamicInput(DynamicInput):
def __init__(self, id: str):
pass
@comfytype(io_type="COMFY_COMBODYNAMIC_V3")
class ComboDynamic(ComfyTypeI):
class Input(DynamicInput):
def __init__(self, id: str):
pass
@comfytype(io_type="COMFY_MATCHTYPE_V3")
class MatchType(ComfyTypeIO):
@ -848,7 +847,7 @@ class MatchType(ComfyTypeIO):
super().__init__(id, display_name, optional, tooltip, lazy, extra_dict)
self.template = template
def get_dynamic(self) -> list[InputV3]:
def get_dynamic(self) -> list[Input]:
return [self]
def as_dict(self):
@ -862,7 +861,7 @@ class MatchType(ComfyTypeIO):
super().__init__(id, display_name, tooltip, is_output_list)
self.template = template
def get_dynamic(self) -> list[OutputV3]:
def get_dynamic(self) -> list[Output]:
return [self]
def as_dict(self):
@ -966,8 +965,8 @@ class Schema:
"""Display name of node."""
category: str = "sd"
"""The category of the node, as per the "Add Node" menu."""
inputs: list[InputV3]=None
outputs: list[OutputV3]=None
inputs: list[Input]=None
outputs: list[Output]=None
hidden: list[Hidden]=None
description: str=""
"""Node description, shown as a tooltip when hovering over the node."""
@ -1129,14 +1128,14 @@ class Schema:
return info
def add_to_dict_v1(i: InputV3, input: dict):
def add_to_dict_v1(i: Input, input: dict):
key = "optional" if i.optional else "required"
as_dict = i.as_dict()
# for v1, we don't want to include the optional key
as_dict.pop("optional", None)
input.setdefault(key, {})[i.id] = (i.get_io_type(), as_dict)
def add_to_dict_v3(io: InputV3 | OutputV3, d: dict):
def add_to_dict_v3(io: Input | Output, d: dict):
d[io.id] = (io.get_io_type(), io.as_dict())
@ -1487,7 +1486,7 @@ class ComfyNode(_ComfyNodeBaseInternal):
return ComfyNode
class NodeOutput:
class NodeOutput(_NodeOutputInternal):
'''
Standardized output of a node; can pass in any number of args and/or a UIOutput into 'ui' kwarg.
'''
@ -1527,3 +1526,78 @@ class _UIOutput(ABC):
@abstractmethod
def as_dict(self) -> dict:
...
class _IO:
FolderType = FolderType
UploadType = UploadType
RemoteOptions = RemoteOptions
NumberDisplay = NumberDisplay
comfytype = staticmethod(comfytype)
Custom = staticmethod(Custom)
Input = Input
WidgetInput = WidgetInput
Output = Output
ComfyTypeI = ComfyTypeI
ComfyTypeIO = ComfyTypeIO
#---------------------------------
# Supported Types
Boolean = Boolean
Int = Int
Float = Float
String = String
Combo = Combo
MultiCombo = MultiCombo
Image = Image
WanCameraEmbedding = WanCameraEmbedding
Webcam = Webcam
Mask = Mask
Latent = Latent
Conditioning = Conditioning
Sampler = Sampler
Sigmas = Sigmas
Noise = Noise
Guider = Guider
Clip = Clip
ControlNet = ControlNet
Vae = Vae
Model = Model
ClipVision = ClipVision
ClipVisionOutput = ClipVisionOutput
StyleModel = StyleModel
Gligen = Gligen
UpscaleModel = UpscaleModel
Audio = Audio
Video = Video
SVG = SVG
LoraModel = LoraModel
LossMap = LossMap
Voxel = Voxel
Mesh = Mesh
Hooks = Hooks
HookKeyframes = HookKeyframes
TimestepsRange = TimestepsRange
LatentOperation = LatentOperation
FlowControl = FlowControl
Accumulation = Accumulation
Load3DCamera = Load3DCamera
Load3D = Load3D
Load3DAnimation = Load3DAnimation
Photomaker = Photomaker
Point = Point
FaceAnalysis = FaceAnalysis
BBOX = BBOX
SEGS = SEGS
AnyType = AnyType
MultiType = MultiType
#---------------------------------
HiddenHolder = HiddenHolder
Hidden = Hidden
NodeInfoV1 = NodeInfoV1
NodeInfoV3 = NodeInfoV3
Schema = Schema
ComfyNode = ComfyNode
NodeOutput = NodeOutput
add_to_dict_v1 = staticmethod(add_to_dict_v1)
add_to_dict_v3 = staticmethod(add_to_dict_v3)

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@ -63,3 +63,10 @@ class ResourcesLocal(Resources):
if default is not ...:
return default
raise Exception(f"Unsupported resource key type: {type(key)}")
class _RESOURCES:
ResourceKey = ResourceKey
TorchDictFolderFilename = TorchDictFolderFilename
Resources = Resources
ResourcesLocal = ResourcesLocal

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@ -17,7 +17,7 @@ import folder_paths
# used for image preview
from comfy.cli_args import args
from comfy_api.v3.io import ComfyNode, FolderType, Image, _UIOutput
from comfy_api.v3._io import ComfyNode, FolderType, Image, _UIOutput
class SavedResult(dict):
@ -489,3 +489,17 @@ class PreviewText(_UIOutput):
def as_dict(self):
return {"text": (self.value,)}
class _UI:
SavedResult = SavedResult
SavedImages = SavedImages
SavedAudios = SavedAudios
ImageSaveHelper = ImageSaveHelper
AudioSaveHelper = AudioSaveHelper
PreviewImage = PreviewImage
PreviewMask = PreviewMask
PreviewAudio = PreviewAudio
PreviewVideo = PreviewVideo
PreviewUI3D = PreviewUI3D
PreviewText = PreviewText

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@ -1,13 +1,12 @@
import torch
import time
from comfy_api.v3 import io, ui, resources
from comfy_api.v3 import io, ui, resources, _io
import logging # noqa
import folder_paths
import comfy.utils
import comfy.sd
import asyncio
@io.comfytype(io_type="XYZ")
class XYZ(io.ComfyTypeIO):
Type = tuple[int,str]
@ -144,8 +143,8 @@ class NInputsTest(io.ComfyNode):
node_id="V3_NInputsTest",
display_name="V3 N Inputs Test",
inputs=[
io.AutogrowDynamic.Input("nmock", template_input=io.Image.Input("image"), min=1, max=3),
io.AutogrowDynamic.Input("nmock2", template_input=io.Int.Input("int"), optional=True, min=1, max=4),
_io.AutogrowDynamic.Input("nmock", template_input=io.Image.Input("image"), min=1, max=3),
_io.AutogrowDynamic.Input("nmock2", template_input=io.Int.Input("int"), optional=True, min=1, max=4),
],
outputs=[
io.Image.Output(),

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@ -32,8 +32,8 @@ from comfy_execution.graph_utils import GraphBuilder, is_link
from comfy_execution.validation import validate_node_input
from comfy_execution.progress import get_progress_state, reset_progress_state, add_progress_handler, WebUIProgressHandler
from comfy_execution.utils import CurrentNodeContext
from comfy_api.internal import _ComfyNodeInternal, first_real_override, is_class, make_locked_method_func
from comfy_api.v3 import io
from comfy_api.internal import _ComfyNodeInternal, _NodeOutputInternal, first_real_override, is_class, make_locked_method_func
from comfy_api.v3 import io, resources
class ExecutionResult(Enum):
@ -256,26 +256,11 @@ async def _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, f
type_obj = type(obj)
type_obj.VALIDATE_CLASS()
class_clone = type_obj.PREPARE_CLASS_CLONE(hidden_inputs)
# NOTE: this is a mock of state management; for local, just stores NodeStateLocal on node instance
if hasattr(obj, "local_state"):
if obj.local_state is None:
obj.local_state = io.NodeStateLocal(class_clone.hidden.unique_id)
class_clone.state = obj.local_state
# NOTE: this is a mock of resource management; for local, just stores ResourcesLocal on node instance
if hasattr(obj, "local_resources"):
if obj.local_resources is None:
obj.local_resources = io.ResourcesLocal()
obj.local_resources = resources.ResourcesLocal()
class_clone.resources = obj.local_resources
# TODO: delete this when done testing mocking dynamic inputs
for si in obj.SCHEMA.inputs:
if isinstance(si, io.AutogrowDynamic.Input):
add_key = si.id
dynamic_list = []
real_inputs = {k: v for k, v in inputs.items()}
for d in si.get_dynamic():
dynamic_list.append(real_inputs.pop(d.id, None))
dynamic_list = [x for x in dynamic_list if x is not None]
inputs = {**real_inputs, add_key: dynamic_list}
f = make_locked_method_func(type_obj, func, class_clone)
# V1
else:
@ -363,7 +348,7 @@ def get_output_from_returns(return_values, obj):
result = tuple([result] * len(obj.RETURN_TYPES))
results.append(result)
subgraph_results.append((None, result))
elif isinstance(r, io.NodeOutput):
elif isinstance(r, _NodeOutputInternal):
# V3
if r.ui is not None:
if isinstance(r.ui, dict):