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Merge 92890ef01d into 3f77450ef1

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Alexander Piskun 2026-03-29 10:53:06 +08:00 committed by GitHub
commit dfdd8f42c0
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1 changed files with 10 additions and 2 deletions
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12
comfy_api_nodes/nodes_hunyuan3d.py
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@ -132,7 +132,7 @@ class TencentTextToModelNode(IO.ComfyNode):
tooltip="The LowPoly option is unavailable for the `3.1` model.", tooltip="The LowPoly option is unavailable for the `3.1` model.",
), ),
IO.String.Input("prompt", multiline=True, default="", tooltip="Supports up to 1024 characters."), IO.String.Input("prompt", multiline=True, default="", tooltip="Supports up to 1024 characters."),
IO.Int.Input("face_count", default=500000, min=40000, max=1500000), IO.Int.Input("face_count", default=500000, min=3000, max=1500000),
IO.DynamicCombo.Input( IO.DynamicCombo.Input(
"generate_type", "generate_type",
options=[ options=[
@ -251,7 +251,7 @@ class TencentImageToModelNode(IO.ComfyNode):
IO.Image.Input("image_left", optional=True), IO.Image.Input("image_left", optional=True),
IO.Image.Input("image_right", optional=True), IO.Image.Input("image_right", optional=True),
IO.Image.Input("image_back", optional=True), IO.Image.Input("image_back", optional=True),
IO.Int.Input("face_count", default=500000, min=40000, max=1500000), IO.Int.Input("face_count", default=500000, min=3000, max=1500000),
IO.DynamicCombo.Input( IO.DynamicCombo.Input(
"generate_type", "generate_type",
options=[ options=[
@ -422,6 +422,7 @@ class TencentModelTo3DUVNode(IO.ComfyNode):
outputs=[ outputs=[
IO.File3DOBJ.Output(display_name="OBJ"), IO.File3DOBJ.Output(display_name="OBJ"),
IO.File3DFBX.Output(display_name="FBX"), IO.File3DFBX.Output(display_name="FBX"),
IO.Image.Output(display_name="uv_image"),
], ],
hidden=[ hidden=[
IO.Hidden.auth_token_comfy_org, IO.Hidden.auth_token_comfy_org,
@ -468,9 +469,16 @@ class TencentModelTo3DUVNode(IO.ComfyNode):
response_model=To3DProTaskResultResponse, response_model=To3DProTaskResultResponse,
status_extractor=lambda r: r.Status, status_extractor=lambda r: r.Status,
) )
uv_image_file = get_file_from_response(result.ResultFile3Ds, "uv_image", raise_if_not_found=False)
uv_image = (
await download_url_to_image_tensor(uv_image_file.Url)
if uv_image_file is not None
else torch.zeros(1, 1, 1, 3)
)
return IO.NodeOutput( return IO.NodeOutput(
await download_url_to_file_3d(get_file_from_response(result.ResultFile3Ds, "obj").Url, "obj"), await download_url_to_file_3d(get_file_from_response(result.ResultFile3Ds, "obj").Url, "obj"),
await download_url_to_file_3d(get_file_from_response(result.ResultFile3Ds, "fbx").Url, "fbx"), await download_url_to_file_3d(get_file_from_response(result.ResultFile3Ds, "fbx").Url, "fbx"),
uv_image,
) )