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https://github.com/comfyanonymous/ComfyUI.git
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bc72d7f8d1
* feat(api-nodes): add TencentHunyuan3D nodes * add "(Pro)" to display name --------- Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>
298 lines
11 KiB
Python
298 lines
11 KiB
Python
import os
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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_nodes.apis.hunyuan3d import (
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Hunyuan3DViewImage,
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InputGenerateType,
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ResultFile3D,
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To3DProTaskCreateResponse,
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To3DProTaskQueryRequest,
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To3DProTaskRequest,
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To3DProTaskResultResponse,
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)
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from comfy_api_nodes.util import (
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ApiEndpoint,
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download_url_to_bytesio,
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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_image_to_comfyapi,
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validate_image_dimensions,
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validate_string,
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)
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from folder_paths import get_output_directory
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def get_glb_obj_from_response(response_objs: list[ResultFile3D]) -> ResultFile3D:
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for i in response_objs:
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if i.Type.lower() == "glb":
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return i
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raise ValueError("No GLB file found in response. Please report this to the developers.")
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class TencentTextToModelNode(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="TencentTextToModelNode",
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display_name="Hunyuan3D: Text to Model (Pro)",
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category="api node/3d/Tencent",
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inputs=[
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IO.Combo.Input(
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"model",
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options=["3.0", "3.1"],
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tooltip="The LowPoly option is unavailable for the `3.1` model.",
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),
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IO.String.Input("prompt", multiline=True, default="", tooltip="Supports up to 1024 characters."),
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IO.Int.Input("face_count", default=500000, min=40000, max=1500000),
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IO.DynamicCombo.Input(
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"generate_type",
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options=[
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IO.DynamicCombo.Option("Normal", [IO.Boolean.Input("pbr", default=False)]),
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IO.DynamicCombo.Option(
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"LowPoly",
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[
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IO.Combo.Input("polygon_type", options=["triangle", "quadrilateral"]),
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IO.Boolean.Input("pbr", default=False),
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],
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),
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IO.DynamicCombo.Option("Geometry", []),
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],
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),
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IO.Int.Input(
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"seed",
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default=0,
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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.String.Output(display_name="model_file"),
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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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is_output_node=True,
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price_badge=IO.PriceBadge(
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depends_on=IO.PriceBadgeDepends(widgets=["generate_type", "generate_type.pbr", "face_count"]),
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expr="""
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(
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$base := widgets.generate_type = "normal" ? 25 : widgets.generate_type = "lowpoly" ? 30 : 15;
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$pbr := $lookup(widgets, "generate_type.pbr") ? 10 : 0;
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$face := widgets.face_count != 500000 ? 10 : 0;
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{"type":"usd","usd": ($base + $pbr + $face) * 0.02}
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)
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""",
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),
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)
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@classmethod
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async def execute(
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cls,
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model: str,
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prompt: str,
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face_count: int,
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generate_type: InputGenerateType,
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seed: int,
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) -> IO.NodeOutput:
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_ = seed
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validate_string(prompt, field_name="prompt", min_length=1, max_length=1024)
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if model == "3.1" and generate_type["generate_type"].lower() == "lowpoly":
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raise ValueError("The LowPoly option is currently unavailable for the 3.1 model.")
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response = await sync_op(
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cls,
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ApiEndpoint(path="/proxy/tencent/hunyuan/3d-pro", method="POST"),
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response_model=To3DProTaskCreateResponse,
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data=To3DProTaskRequest(
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Model=model,
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Prompt=prompt,
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FaceCount=face_count,
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GenerateType=generate_type["generate_type"],
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EnablePBR=generate_type.get("pbr", None),
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PolygonType=generate_type.get("polygon_type", None),
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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-pro/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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model_file = f"hunyuan_model_{response.JobId}.glb"
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await download_url_to_bytesio(
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get_glb_obj_from_response(result.ResultFile3Ds).Url,
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os.path.join(get_output_directory(), model_file),
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)
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return IO.NodeOutput(model_file)
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class TencentImageToModelNode(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="TencentImageToModelNode",
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display_name="Hunyuan3D: Image(s) to Model (Pro)",
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category="api node/3d/Tencent",
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inputs=[
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IO.Combo.Input(
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"model",
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options=["3.0", "3.1"],
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tooltip="The LowPoly option is unavailable for the `3.1` model.",
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),
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IO.Image.Input("image"),
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IO.Image.Input("image_left", optional=True),
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IO.Image.Input("image_right", optional=True),
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IO.Image.Input("image_back", optional=True),
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IO.Int.Input("face_count", default=500000, min=40000, max=1500000),
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IO.DynamicCombo.Input(
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"generate_type",
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options=[
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IO.DynamicCombo.Option("Normal", [IO.Boolean.Input("pbr", default=False)]),
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IO.DynamicCombo.Option(
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"LowPoly",
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[
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IO.Combo.Input("polygon_type", options=["triangle", "quadrilateral"]),
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IO.Boolean.Input("pbr", default=False),
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],
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),
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IO.DynamicCombo.Option("Geometry", []),
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],
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),
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IO.Int.Input(
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"seed",
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default=0,
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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.String.Output(display_name="model_file"),
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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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is_output_node=True,
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price_badge=IO.PriceBadge(
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depends_on=IO.PriceBadgeDepends(
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widgets=["generate_type", "generate_type.pbr", "face_count"],
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inputs=["image_left", "image_right", "image_back"],
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),
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expr="""
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(
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$base := widgets.generate_type = "normal" ? 25 : widgets.generate_type = "lowpoly" ? 30 : 15;
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$multiview := (
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inputs.image_left.connected or inputs.image_right.connected or inputs.image_back.connected
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) ? 10 : 0;
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$pbr := $lookup(widgets, "generate_type.pbr") ? 10 : 0;
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$face := widgets.face_count != 500000 ? 10 : 0;
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{"type":"usd","usd": ($base + $multiview + $pbr + $face) * 0.02}
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)
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""",
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),
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)
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@classmethod
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async def execute(
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cls,
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model: str,
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image: Input.Image,
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face_count: int,
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generate_type: InputGenerateType,
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seed: int,
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image_left: Input.Image | None = None,
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image_right: Input.Image | None = None,
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image_back: Input.Image | None = None,
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) -> IO.NodeOutput:
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_ = seed
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if model == "3.1" and generate_type["generate_type"].lower() == "lowpoly":
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raise ValueError("The LowPoly option is currently unavailable for the 3.1 model.")
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validate_image_dimensions(image, min_width=128, min_height=128)
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multiview_images = []
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for k, v in {
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"left": image_left,
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"right": image_right,
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"back": image_back,
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}.items():
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if v is None:
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continue
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validate_image_dimensions(v, min_width=128, min_height=128)
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multiview_images.append(
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Hunyuan3DViewImage(
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ViewType=k,
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ViewImageUrl=await upload_image_to_comfyapi(
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cls,
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downscale_image_tensor_by_max_side(v, max_side=4900),
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mime_type="image/webp",
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total_pixels=24_010_000,
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),
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)
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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-pro", method="POST"),
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response_model=To3DProTaskCreateResponse,
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data=To3DProTaskRequest(
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Model=model,
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FaceCount=face_count,
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GenerateType=generate_type["generate_type"],
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ImageUrl=await upload_image_to_comfyapi(
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cls,
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downscale_image_tensor_by_max_side(image, max_side=4900),
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mime_type="image/webp",
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total_pixels=24_010_000,
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),
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MultiViewImages=multiview_images if multiview_images else None,
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EnablePBR=generate_type.get("pbr", None),
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PolygonType=generate_type.get("polygon_type", None),
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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-pro/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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model_file = f"hunyuan_model_{response.JobId}.glb"
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await download_url_to_bytesio(
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get_glb_obj_from_response(result.ResultFile3Ds).Url,
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os.path.join(get_output_directory(), model_file),
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)
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return IO.NodeOutput(model_file)
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class TencentHunyuan3DExtension(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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TencentTextToModelNode,
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TencentImageToModelNode,
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]
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async def comfy_entrypoint() -> TencentHunyuan3DExtension:
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return TencentHunyuan3DExtension()
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