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convert WanCameraEmbedding node to V3 schema (#9714)
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@ -2,12 +2,12 @@ import nodes
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import torch
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import numpy as np
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from einops import rearrange
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from typing_extensions import override
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import comfy.model_management
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from comfy_api.latest import ComfyExtension, io
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MAX_RESOLUTION = nodes.MAX_RESOLUTION
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CAMERA_DICT = {
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"base_T_norm": 1.5,
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"base_angle": np.pi/3,
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@ -148,32 +148,47 @@ def get_camera_motion(angle, T, speed, n=81):
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RT = np.stack(RT)
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return RT
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class WanCameraEmbedding:
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class WanCameraEmbedding(io.ComfyNode):
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"camera_pose":(["Static","Pan Up","Pan Down","Pan Left","Pan Right","Zoom In","Zoom Out","Anti Clockwise (ACW)", "ClockWise (CW)"],{"default":"Static"}),
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"width": ("INT", {"default": 832, "min": 16, "max": MAX_RESOLUTION, "step": 16}),
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"height": ("INT", {"default": 480, "min": 16, "max": MAX_RESOLUTION, "step": 16}),
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"length": ("INT", {"default": 81, "min": 1, "max": MAX_RESOLUTION, "step": 4}),
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},
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"optional":{
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"speed":("FLOAT",{"default":1.0, "min": 0, "max": 10.0, "step": 0.1}),
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"fx":("FLOAT",{"default":0.5, "min": 0, "max": 1, "step": 0.000000001}),
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"fy":("FLOAT",{"default":0.5, "min": 0, "max": 1, "step": 0.000000001}),
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"cx":("FLOAT",{"default":0.5, "min": 0, "max": 1, "step": 0.01}),
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"cy":("FLOAT",{"default":0.5, "min": 0, "max": 1, "step": 0.01}),
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}
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def define_schema(cls):
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return io.Schema(
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node_id="WanCameraEmbedding",
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category="camera",
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inputs=[
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io.Combo.Input(
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"camera_pose",
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options=[
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"Static",
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"Pan Up",
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"Pan Down",
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"Pan Left",
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"Pan Right",
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"Zoom In",
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"Zoom Out",
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"Anti Clockwise (ACW)",
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"ClockWise (CW)",
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],
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default="Static",
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),
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io.Int.Input("width", default=832, min=16, max=nodes.MAX_RESOLUTION, step=16),
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io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16),
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io.Int.Input("length", default=81, min=1, max=nodes.MAX_RESOLUTION, step=4),
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io.Float.Input("speed", default=1.0, min=0, max=10.0, step=0.1, optional=True),
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io.Float.Input("fx", default=0.5, min=0, max=1, step=0.000000001, optional=True),
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io.Float.Input("fy", default=0.5, min=0, max=1, step=0.000000001, optional=True),
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io.Float.Input("cx", default=0.5, min=0, max=1, step=0.01, optional=True),
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io.Float.Input("cy", default=0.5, min=0, max=1, step=0.01, optional=True),
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],
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outputs=[
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io.WanCameraEmbedding.Output(display_name="camera_embedding"),
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io.Int.Output(display_name="width"),
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io.Int.Output(display_name="height"),
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io.Int.Output(display_name="length"),
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],
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)
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}
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RETURN_TYPES = ("WAN_CAMERA_EMBEDDING","INT","INT","INT")
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RETURN_NAMES = ("camera_embedding","width","height","length")
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FUNCTION = "run"
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CATEGORY = "camera"
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def run(self, camera_pose, width, height, length, speed=1.0, fx=0.5, fy=0.5, cx=0.5, cy=0.5):
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@classmethod
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def execute(cls, camera_pose, width, height, length, speed=1.0, fx=0.5, fy=0.5, cx=0.5, cy=0.5) -> io.NodeOutput:
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"""
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Use Camera trajectory as extrinsic parameters to calculate Plücker embeddings (Sitzmannet al., 2021)
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Adapted from https://github.com/aigc-apps/VideoX-Fun/blob/main/comfyui/comfyui_nodes.py
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@ -210,9 +225,15 @@ class WanCameraEmbedding:
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control_camera_video = control_camera_video.contiguous().view(b, f // 4, 4, c, h, w).transpose(2, 3)
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control_camera_video = control_camera_video.contiguous().view(b, f // 4, c * 4, h, w).transpose(1, 2)
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return (control_camera_video, width, height, length)
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return io.NodeOutput(control_camera_video, width, height, length)
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NODE_CLASS_MAPPINGS = {
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"WanCameraEmbedding": WanCameraEmbedding,
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}
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class CameraTrajectoryExtension(ComfyExtension):
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@override
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async def get_node_list(self) -> list[type[io.ComfyNode]]:
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return [
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WanCameraEmbedding,
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]
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async def comfy_entrypoint() -> CameraTrajectoryExtension:
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return CameraTrajectoryExtension()
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