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Added missing type definitions to v3 (present in core code)
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@ -17,7 +17,8 @@ from comfy.sd import StyleModel as StyleModel_
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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.hooks import HookGroup
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from comfy.hooks import HookGroup, HookKeyframeGroup
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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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class FolderType(str, Enum):
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@ -636,6 +637,65 @@ class Audio(ComfyTypeIO):
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sampler_rate: int
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Type = AudioDict
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@comfytype(io_type=IO.VIDEO)
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class Video(ComfyTypeIO):
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Type = VideoInput
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@comfytype(io_type="SVG")
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class SVG(ComfyTypeIO):
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Type = Any # TODO: SVG class is defined in comfy_extras/nodes_images.py, causing circular reference; should be moved to somewhere else before referenced directly in v3
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@comfytype(io_type=IO.LORA_MODEL)
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class LoraModel(ComfyTypeIO):
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Type = dict[str, torch.Tensor]
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@comfytype(io_type=IO.LOSS_MAP)
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class LossMap(ComfyTypeIO):
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class LossMapDict(TypedDict):
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loss: list[torch.Tensor]
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Type = LossMapDict
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@comfytype(io_type="VOXEL")
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class Voxel(ComfyTypeIO):
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Type = Any # TODO: VOXEL class is defined in comfy_extras/nodes_hunyuan3d.py; should be moved to somewhere else before referenced directly in v3
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@comfytype(io_type="MESH")
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class Mesh(ComfyTypeIO):
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Type = Any # TODO: MESH class is defined in comfy_extras/nodes_hunyuan3d.py; should be moved to somewhere else before referenced directly in v3
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@comfytype(io_type="HOOKS")
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class Hooks(ComfyTypeIO):
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Type = HookGroup
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@comfytype(io_type="HOOK_KEYFRAMES")
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class HookKeyframes(ComfyTypeIO):
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Type = HookKeyframeGroup
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@comfytype(io_type="TIMESTEPS_RANGE")
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class TimestepsRange(ComfyTypeIO):
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'''Range defined by start and endpoint, between 0.0 and 1.0.'''
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Type = tuple[int, int]
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@comfytype(io_type="LATENT_OPERATION")
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class LatentOperation(ComfyTypeIO):
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Type = Callable[[torch.Tensor], torch.Tensor]
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@comfytype(io_type="FLOW_CONTROL")
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class FlowControl(ComfyTypeIO):
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# NOTE: only used in testing_nodes right now
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Type = tuple[str, Any]
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@comfytype(io_type="ACCUMULATION")
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class Accumulation(ComfyTypeIO):
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# NOTE: only used in testing_nodes right now
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class AccumulationDict(TypedDict):
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accum: list[Any]
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Type = AccumulationDict
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@comfytype(io_type="LOAD3D_CAMERA")
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class Load3DCamera(ComfyTypeIO):
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Type = Any # TODO: figure out type for this; in code, only described as image['camera_info'], gotten from a LOAD_3D or LOAD_3D_ANIMATION type
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@comfytype(io_type=IO.POINT)
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class Point(ComfyTypeIO):
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Type = Any # NOTE: I couldn't find any references in core code to POINT io_type. Does this exist?
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@ -652,10 +712,6 @@ class BBOX(ComfyTypeIO):
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class SEGS(ComfyTypeIO):
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Type = Any # NOTE: I couldn't find any references in core code to POINT io_type. Does this exist?
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@comfytype(io_type=IO.VIDEO)
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class Video(ComfyTypeIO):
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Type = VideoInput
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@comfytype(io_type="COMFY_MULTITYPED_V3")
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class MultiType:
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Type = Any
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