HY 3D 2.1

# Python 3.10+: pip install comfy-sdk==0.4.0
import os

from comfy_sdk import Comfy

api_key = os.environ.get("COMFY_API_KEY", "").strip()
if not api_key: raise RuntimeError("Set COMFY_API_KEY")
os.environ.setdefault("COMFY_BASE_URL", "https://cloud.comfy.org")
client = Comfy(api_key=api_key)
workflow = client.workflows.from_json({
    "1": {
        "class_type": "ImageOnlyCheckpointLoader",
        "inputs": {
            "ckpt_name": "hunyuan_3d_v2.1.safetensors"
        },
        "_meta": {
            "title": "Load Checkpoint Image Only (img2vid model)"
        }
    },
    "2": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "3d_hunyuan3d-v2.1_input_image.png"
        },
        "_meta": {
            "title": "Load Image"
        }
    },
    "3": {
        "class_type": "ModelSamplingAuraFlow",
        "inputs": {
            "model": [
                "1",
                0
            ],
            "sampling": "flow",
            "shift": 1
        },
        "_meta": {
            "title": "ModelSamplingAuraFlow"
        }
    },
    "4": {
        "class_type": "EmptyLatentHunyuan3Dv2",
        "inputs": {
            "batch_size": 1,
            "resolution": 4096
        },
        "_meta": {
            "title": "Empty Hunyuan 3D v2 Latent"
        }
    },
    "6": {
        "class_type": "Hunyuan3Dv2Conditioning",
        "inputs": {
            "clip_vision_output": [
                "13",
                0
            ]
        },
        "_meta": {
            "title": "Hunyuan3Dv2Conditioning"
        }
    },
    "7": {
        "class_type": "KSampler",
        "inputs": {
            "cfg": 5,
            "denoise": 1,
            "latent_image": [
                "4",
                0
            ],
            "model": [
                "3",
                0
            ],
            "negative": [
                "6",
                1
            ],
            "positive": [
                "6",
                0
            ],
            "sampler_name": "euler",
            "scheduler": "normal",
            "seed": 952805179515179,
            "steps": 30
        },
        "_meta": {
            "title": "KSampler"
        }
    },
    "8": {
        "class_type": "VAEDecodeHunyuan3D",
        "inputs": {
            "num_chunks": 8000,
            "octree_resolution": 256,
            "samples": [
                "7",
                0
            ],
            "vae": [
                "1",
                2
            ]
        },
        "_meta": {
            "title": "Hunyuan 3D VAE Decode"
        }
    },
    "9": {
        "class_type": "VoxelToMesh",
        "inputs": {
            "algorithm": "surface net",
            "threshold": 0.6,
            "voxel": [
                "8",
                0
            ]
        },
        "_meta": {
            "title": "Voxel to Mesh"
        }
    },
    "10": {
        "class_type": "SaveGLB",
        "inputs": {
            "filename_prefix": "mesh/ComfyUI",
            "mesh": [
                "9",
                0
            ]
        },
        "_meta": {
            "title": "Save 3D Model"
        }
    },
    "13": {
        "class_type": "CLIPVisionEncode",
        "inputs": {
            "clip_vision": [
                "1",
                1
            ],
            "crop": "center",
            "image": [
                "2",
                0
            ]
        },
        "_meta": {
            "title": "CLIP Vision Encode"
        }
    }
})

# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)