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https://github.com/comfyanonymous/ComfyUI.git
synced 2026-02-19 22:44:35 +00:00
feat(api-nodes): add TencentModelTo3DUV node
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@@ -64,3 +64,12 @@ class To3DProTaskResultResponse(BaseModel):
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class To3DProTaskQueryRequest(BaseModel):
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JobId: str = Field(...)
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class To3DUVFileInput(BaseModel):
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Type: str = Field(..., description="File type: GLB, OBJ, or FBX")
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Url: str = Field(...)
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class To3DUVTaskRequest(BaseModel):
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File: To3DUVFileInput = Field(...)
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@@ -1,6 +1,6 @@
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from typing_extensions import override
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from comfy_api.latest import IO, ComfyExtension, Input
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from comfy_api.latest import IO, ComfyExtension, Input, Types
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from comfy_api_nodes.apis.hunyuan3d import (
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Hunyuan3DViewImage,
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InputGenerateType,
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@@ -9,6 +9,8 @@ from comfy_api_nodes.apis.hunyuan3d import (
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To3DProTaskQueryRequest,
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To3DProTaskRequest,
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To3DProTaskResultResponse,
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To3DUVFileInput,
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To3DUVTaskRequest,
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)
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from comfy_api_nodes.util import (
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ApiEndpoint,
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@@ -16,16 +18,21 @@ from comfy_api_nodes.util import (
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downscale_image_tensor_by_max_side,
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poll_op,
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sync_op,
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upload_file_to_comfyapi,
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upload_image_to_comfyapi,
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validate_image_dimensions,
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validate_string,
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)
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def get_file_from_response(response_objs: list[ResultFile3D], file_type: str) -> ResultFile3D | None:
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def get_file_from_response(
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response_objs: list[ResultFile3D], file_type: str, raise_if_not_found: bool = True
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) -> ResultFile3D | None:
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for i in response_objs:
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if i.Type.lower() == file_type.lower():
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return i
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if raise_if_not_found:
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raise ValueError(f"'{file_type}' file type is not found in the response.")
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return None
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@@ -131,11 +138,14 @@ class TencentTextToModelNode(IO.ComfyNode):
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response_model=To3DProTaskResultResponse,
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status_extractor=lambda r: r.Status,
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)
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glb_result = get_file_from_response(result.ResultFile3Ds, "glb")
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obj_result = get_file_from_response(result.ResultFile3Ds, "obj")
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file_glb = await download_url_to_file_3d(glb_result.Url, "glb", task_id=task_id) if glb_result else None
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return IO.NodeOutput(
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file_glb, file_glb, await download_url_to_file_3d(obj_result.Url, "obj", task_id=task_id) if obj_result else None
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f"{task_id}.glb",
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await download_url_to_file_3d(
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get_file_from_response(result.ResultFile3Ds, "glb").Url, "glb", task_id=task_id
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),
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await download_url_to_file_3d(
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get_file_from_response(result.ResultFile3Ds, "obj").Url, "obj", task_id=task_id
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),
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)
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@@ -279,11 +289,105 @@ class TencentImageToModelNode(IO.ComfyNode):
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response_model=To3DProTaskResultResponse,
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status_extractor=lambda r: r.Status,
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)
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glb_result = get_file_from_response(result.ResultFile3Ds, "glb")
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obj_result = get_file_from_response(result.ResultFile3Ds, "obj")
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file_glb = await download_url_to_file_3d(glb_result.Url, "glb", task_id=task_id) if glb_result else None
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return IO.NodeOutput(
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file_glb, file_glb, await download_url_to_file_3d(obj_result.Url, "obj", task_id=task_id) if obj_result else None
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f"{task_id}.glb",
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await download_url_to_file_3d(
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get_file_from_response(result.ResultFile3Ds, "glb").Url, "glb", task_id=task_id
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),
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await download_url_to_file_3d(
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get_file_from_response(result.ResultFile3Ds, "obj").Url, "obj", task_id=task_id
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),
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)
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class TencentModelTo3DUVNode(IO.ComfyNode):
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@classmethod
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def define_schema(cls):
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return IO.Schema(
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node_id="TencentModelTo3DUVNode",
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display_name="Hunyuan3D: Model to UV",
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category="api node/3d/Tencent",
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description="Perform UV unfolding on a 3D model to generate UV texture. "
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"Input model must have less than 30000 faces.",
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inputs=[
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IO.MultiType.Input(
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"model_3d",
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types=[IO.File3DGLB, IO.File3DOBJ, IO.File3DFBX, IO.File3DAny],
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tooltip="Input 3D model (GLB, OBJ, or FBX)",
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),
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IO.Int.Input(
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"seed",
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default=1,
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min=0,
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max=2147483647,
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display_mode=IO.NumberDisplay.number,
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control_after_generate=True,
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tooltip="Seed controls whether the node should re-run; "
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"results are non-deterministic regardless of seed.",
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),
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],
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outputs=[
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IO.File3DOBJ.Output(display_name="OBJ"),
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IO.File3DFBX.Output(display_name="FBX"),
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],
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hidden=[
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IO.Hidden.auth_token_comfy_org,
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IO.Hidden.api_key_comfy_org,
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IO.Hidden.unique_id,
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],
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is_api_node=True,
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price_badge=IO.PriceBadge(expr='{"type":"usd","usd":0.2}'),
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)
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SUPPORTED_FORMATS = {"glb", "obj", "fbx"}
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@classmethod
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async def execute(
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cls,
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model_3d: Types.File3D,
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seed: int,
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) -> IO.NodeOutput:
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_ = seed
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file_format = model_3d.format.lower()
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if file_format not in cls.SUPPORTED_FORMATS:
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raise ValueError(
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f"Unsupported file format: '{file_format}'. "
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f"Supported formats: {', '.join(sorted(cls.SUPPORTED_FORMATS))}."
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)
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mime_types = {
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"glb": "model/gltf-binary",
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"obj": "model/obj",
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"fbx": "application/octet-stream",
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}
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response = await sync_op(
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cls,
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ApiEndpoint(path="/proxy/tencent/hunyuan/3d-uv", method="POST"),
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response_model=To3DProTaskCreateResponse,
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data=To3DUVTaskRequest(
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File=To3DUVFileInput(
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Type=file_format.upper(),
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Url=await upload_file_to_comfyapi(
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cls,
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model_3d.get_data(),
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f"model.{file_format}",
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mime_types.get(file_format, "application/octet-stream"),
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),
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)
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),
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)
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if response.Error:
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raise ValueError(f"Task creation failed with code {response.Error.Code}: {response.Error.Message}")
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result = await poll_op(
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cls,
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ApiEndpoint(path="/proxy/tencent/hunyuan/3d-uv/query", method="POST"),
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data=To3DProTaskQueryRequest(JobId=response.JobId),
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response_model=To3DProTaskResultResponse,
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status_extractor=lambda r: r.Status,
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)
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return IO.NodeOutput(
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await download_url_to_file_3d(get_file_from_response(result.ResultFile3Ds, "obj").Url, "obj"),
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await download_url_to_file_3d(get_file_from_response(result.ResultFile3Ds, "fbx").Url, "fbx"),
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)
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@@ -293,6 +397,7 @@ class TencentHunyuan3DExtension(ComfyExtension):
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return [
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TencentTextToModelNode,
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TencentImageToModelNode,
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TencentModelTo3DUVNode,
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]
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