mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2025-09-13 04:55:53 +00:00
V3 Nodes: Load,Save,Vae audio nodes; sort imports; ruff
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0
comfy_api/v3/__init__.py
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0
comfy_api/v3/__init__.py
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@@ -1,4 +1,4 @@
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from typing import Optional, Callable
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from typing import Callable, Optional
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def first_real_override(cls: type, name: str, *, base: type) -> Optional[Callable]:
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@@ -1,26 +1,29 @@
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from __future__ import annotations
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from typing import Any, Literal, TypeVar, Callable, TypedDict
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from typing_extensions import NotRequired
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from enum import Enum
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from abc import ABC, abstractmethod
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from dataclasses import dataclass, asdict
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from collections import Counter
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from comfy_execution.graph import ExecutionBlocker
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from comfy_api.v3.resources import Resources, ResourcesLocal
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import copy
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from abc import ABC, abstractmethod
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from collections import Counter
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from dataclasses import asdict, dataclass
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from enum import Enum
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from typing import Any, Callable, Literal, TypedDict, TypeVar
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# used for type hinting
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import torch
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from spandrel import ImageModelDescriptor
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from comfy.model_patcher import ModelPatcher
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from comfy.samplers import Sampler, CFGGuider
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from comfy.sd import CLIP
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from comfy.controlnet import ControlNet
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from comfy.sd import VAE
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from comfy.sd import StyleModel as StyleModel_
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from typing_extensions import NotRequired
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from comfy.clip_vision import ClipVisionModel
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from comfy.clip_vision import Output as ClipVisionOutput_
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from comfy_api.input import VideoInput
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from comfy.controlnet import ControlNet
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from comfy.hooks import HookGroup, HookKeyframeGroup
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from comfy.model_patcher import ModelPatcher
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from comfy.samplers import CFGGuider, Sampler
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from comfy.sd import CLIP, VAE
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from comfy.sd import StyleModel as StyleModel_
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from comfy_api.input import VideoInput
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from comfy_api.v3.resources import Resources, ResourcesLocal
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from comfy_execution.graph import ExecutionBlocker
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# from comfy_extras.nodes_images import SVG as SVG_ # NOTE: needs to be moved before can be imported due to circular reference
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@@ -1137,7 +1140,7 @@ class ComfyNodeV3:
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@classmethod
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def GET_NODE_INFO_V3(cls) -> dict[str, Any]:
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schema = cls.GET_SCHEMA()
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# schema = cls.GET_SCHEMA()
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# TODO: finish
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return None
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@@ -1183,84 +1186,84 @@ class ComfyNodeV3:
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#--------------------------------------------
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_DESCRIPTION = None
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@classproperty
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def DESCRIPTION(cls):
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def DESCRIPTION(cls): # noqa
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if cls._DESCRIPTION is None:
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cls.GET_SCHEMA()
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return cls._DESCRIPTION
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_CATEGORY = None
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@classproperty
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def CATEGORY(cls):
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def CATEGORY(cls): # noqa
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if cls._CATEGORY is None:
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cls.GET_SCHEMA()
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return cls._CATEGORY
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_EXPERIMENTAL = None
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@classproperty
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def EXPERIMENTAL(cls):
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def EXPERIMENTAL(cls): # noqa
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if cls._EXPERIMENTAL is None:
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cls.GET_SCHEMA()
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return cls._EXPERIMENTAL
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_DEPRECATED = None
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@classproperty
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def DEPRECATED(cls):
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def DEPRECATED(cls): # noqa
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if cls._DEPRECATED is None:
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cls.GET_SCHEMA()
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return cls._DEPRECATED
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_API_NODE = None
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@classproperty
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def API_NODE(cls):
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def API_NODE(cls): # noqa
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if cls._API_NODE is None:
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cls.GET_SCHEMA()
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return cls._API_NODE
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_OUTPUT_NODE = None
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@classproperty
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def OUTPUT_NODE(cls):
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def OUTPUT_NODE(cls): # noqa
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if cls._OUTPUT_NODE is None:
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cls.GET_SCHEMA()
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return cls._OUTPUT_NODE
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_INPUT_IS_LIST = None
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@classproperty
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def INPUT_IS_LIST(cls):
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def INPUT_IS_LIST(cls): # noqa
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if cls._INPUT_IS_LIST is None:
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cls.GET_SCHEMA()
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return cls._INPUT_IS_LIST
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_OUTPUT_IS_LIST = None
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@classproperty
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def OUTPUT_IS_LIST(cls):
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def OUTPUT_IS_LIST(cls): # noqa
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if cls._OUTPUT_IS_LIST is None:
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cls.GET_SCHEMA()
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return cls._OUTPUT_IS_LIST
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_RETURN_TYPES = None
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@classproperty
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def RETURN_TYPES(cls):
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def RETURN_TYPES(cls): # noqa
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if cls._RETURN_TYPES is None:
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cls.GET_SCHEMA()
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return cls._RETURN_TYPES
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_RETURN_NAMES = None
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@classproperty
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def RETURN_NAMES(cls):
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def RETURN_NAMES(cls): # noqa
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if cls._RETURN_NAMES is None:
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cls.GET_SCHEMA()
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return cls._RETURN_NAMES
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_OUTPUT_TOOLTIPS = None
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@classproperty
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def OUTPUT_TOOLTIPS(cls):
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def OUTPUT_TOOLTIPS(cls): # noqa
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if cls._OUTPUT_TOOLTIPS is None:
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cls.GET_SCHEMA()
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return cls._OUTPUT_TOOLTIPS
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_NOT_IDEMPOTENT = None
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@classproperty
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def NOT_IDEMPOTENT(cls):
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def NOT_IDEMPOTENT(cls): # noqa
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if cls._NOT_IDEMPOTENT is None:
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cls.GET_SCHEMA()
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return cls._NOT_IDEMPOTENT
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@@ -1440,36 +1443,36 @@ class TestNode(ComfyNodeV3):
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def execute(cls, **kwargs):
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pass
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if __name__ == "__main__":
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print("hello there")
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inputs: list[InputV3] = [
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Int.Input("tessfes", widgetType=String.io_type),
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Int.Input("my_int"),
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Custom("XYZ").Input("xyz"),
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Custom("MODEL_M").Input("model1"),
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Image.Input("my_image"),
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Float.Input("my_float"),
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MultiType.Input("my_inputs", [String, Custom("MODEL_M"), Custom("XYZ")]),
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]
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Custom("XYZ").Input()
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outputs: list[OutputV3] = [
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Image.Output("image"),
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Custom("XYZ").Output("xyz"),
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]
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for c in inputs:
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if isinstance(c, MultiType):
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print(f"{c}, {type(c)}, {type(c).io_type}, {c.id}, {[x.io_type for x in c.io_types]}")
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print(c.get_io_type_V1())
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else:
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print(f"{c}, {type(c)}, {type(c).io_type}, {c.id}")
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for c in outputs:
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print(f"{c}, {type(c)}, {type(c).io_type}, {c.id}")
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zz = TestNode()
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print(zz.GET_NODE_INFO_V1())
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# aa = NodeInfoV1()
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# print(asdict(aa))
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# print(as_pruned_dict(aa))
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# if __name__ == "__main__":
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# print("hello there")
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# inputs: list[InputV3] = [
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# Int.Input("tessfes", widgetType=String.io_type),
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# Int.Input("my_int"),
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# Custom("XYZ").Input("xyz"),
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# Custom("MODEL_M").Input("model1"),
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# Image.Input("my_image"),
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# Float.Input("my_float"),
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# MultiType.Input("my_inputs", [String, Custom("MODEL_M"), Custom("XYZ")]),
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# ]
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# Custom("XYZ").Input()
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# outputs: list[OutputV3] = [
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# Image.Output("image"),
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# Custom("XYZ").Output("xyz"),
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# ]
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#
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# for c in inputs:
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# if isinstance(c, MultiType):
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# print(f"{c}, {type(c)}, {type(c).io_type}, {c.id}, {[x.io_type for x in c.io_types]}")
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# print(c.get_io_type_V1())
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# else:
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# print(f"{c}, {type(c)}, {type(c).io_type}, {c.id}")
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#
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# for c in outputs:
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# print(f"{c}, {type(c)}, {type(c).io_type}, {c.id}")
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#
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# zz = TestNode()
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# print(zz.GET_NODE_INFO_V1())
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#
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# # aa = NodeInfoV1()
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# # print(asdict(aa))
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# # print(as_pruned_dict(aa))
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@@ -1,19 +1,21 @@
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from __future__ import annotations
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from abc import ABC, abstractmethod
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import json
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import os
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import random
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from io import BytesIO
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import av
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import numpy as np
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import torchaudio
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from comfy_api.v3.io import Image, FolderType, _UIOutput, ComfyNodeV3
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# used for image preview
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from comfy.cli_args import args
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import folder_paths
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import random
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from PIL import Image as PILImage
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from PIL.PngImagePlugin import PngInfo
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import os
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import json
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import numpy as np
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import folder_paths
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# used for image preview
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from comfy.cli_args import args
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from comfy_api.v3.io import ComfyNodeV3, FolderType, Image, _UIOutput
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class SavedResult(dict):
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@@ -67,11 +69,13 @@ class PreviewImage(_UIOutput):
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"animated": (self.animated,)
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}
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class PreviewMask(PreviewImage):
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def __init__(self, mask: PreviewMask.Type, animated: bool=False, cls: ComfyNodeV3=None, **kwargs):
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preview = mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])).movedim(1, -1).expand(-1, -1, -1, 3)
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super().__init__(preview, animated, cls, **kwargs)
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# class UILatent(_UIOutput):
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# def __init__(self, values: list[SavedResult | dict], **kwargs):
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# output_dir = folder_paths.get_temp_directory()
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@@ -119,21 +123,15 @@ class PreviewMask(PreviewImage):
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# "latents": self.values,
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# }
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class PreviewAudio(_UIOutput):
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def __init__(self, values: list[SavedResult | dict], **kwargs):
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self.values = values
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class PreviewAudio(_UIOutput):
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def __init__(self, audio, cls: ComfyNodeV3=None, **kwargs):
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output_dir = folder_paths.get_temp_directory()
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type = "temp"
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prefix_append = "_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5))
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filename_prefix = "ComfyUI"
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quality = "128k"
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format = "flac"
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filename_prefix += prefix_append
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filename_prefix = "ComfyUI_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5))
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full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(
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filename_prefix, output_dir
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filename_prefix, folder_paths.get_temp_directory()
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)
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# Prepare metadata dictionary
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@@ -223,7 +221,7 @@ class PreviewAudio(_UIOutput):
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with open(output_path, 'wb') as f:
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f.write(output_buffer.getbuffer())
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results.append(SavedResult(file, subfolder, type))
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results.append(SavedResult(file, subfolder, FolderType.temp))
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counter += 1
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self.values = results
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@@ -231,6 +229,7 @@ class PreviewAudio(_UIOutput):
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def as_dict(self):
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return {"audio": self.values}
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class PreviewUI3D(_UIOutput):
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def __init__(self, values: list[SavedResult | dict], **kwargs):
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self.values = values
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@@ -238,6 +237,7 @@ class PreviewUI3D(_UIOutput):
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def as_dict(self):
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return {"3d": self.values}
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class PreviewText(_UIOutput):
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def __init__(self, value: str, **kwargs):
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self.value = value
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