LivePortrait for Facial Expression

# 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({
    "3": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "live_portrait_character.png"
        },
        "_meta": {
            "title": "Load Image"
        }
    },
    "10": {
        "class_type": "VHS_VideoCombine",
        "inputs": {
            "crf": 19,
            "filename_prefix": "LivePortrait",
            "format": "video/h264-mp4",
            "frame_rate": 15,
            "images": [
                "49",
                0
            ],
            "loop_count": 0,
            "pingpong": False,
            "pix_fmt": "yuv420p",
            "save_metadata": True,
            "save_output": True,
            "trim_to_audio": False
        },
        "_meta": {
            "title": "Video Combine 🎥🅥🅗🅢"
        }
    },
    "44": {
        "class_type": "VHS_LoadVideo",
        "inputs": {
            "custom_height": 0,
            "custom_width": 0,
            "force_rate": 0,
            "format": "AnimateDiff",
            "frame_load_cap": 0,
            "select_every_nth": 2,
            "skip_first_frames": 0,
            "video": "live_portrait_expression.mp4"
        },
        "_meta": {
            "title": "Load Video (Upload) 🎥🅥🅗🅢"
        }
    },
    "47": {
        "class_type": "LivePortraitProcess",
        "inputs": {
            "crop_info": [
                "51",
                1
            ],
            "delta_multiplier": 1.5,
            "driving_images": [
                "44",
                0
            ],
            "driving_smooth_observation_variance": 0.000003,
            "expression_friendly": False,
            "expression_friendly_multiplier": 1,
            "lip_zero": False,
            "lip_zero_threshold": 0.03,
            "mismatch_method": "constant",
            "pipeline": [
                "60",
                0
            ],
            "relative_motion_mode": "relative",
            "source_image": [
                "3",
                0
            ],
            "stitching": True
        },
        "_meta": {
            "title": "LivePortrait Process"
        }
    },
    "49": {
        "class_type": "LivePortraitComposite",
        "inputs": {
            "cropped_image": [
                "47",
                0
            ],
            "liveportrait_out": [
                "47",
                1
            ],
            "source_image": [
                "3",
                0
            ]
        },
        "_meta": {
            "title": "LivePortrait Composite"
        }
    },
    "51": {
        "class_type": "LivePortraitCropper",
        "inputs": {
            "cropper": [
                "59",
                0
            ],
            "dsize": 512,
            "face_index": 0,
            "face_index_order": "large-small",
            "pipeline": [
                "60",
                0
            ],
            "rotate": True,
            "scale": 2,
            "source_image": [
                "3",
                0
            ],
            "vx_ratio": 0,
            "vy_ratio": -0.125
        },
        "_meta": {
            "title": "LivePortrait Cropper"
        }
    },
    "59": {
        "class_type": "LivePortraitLoadMediaPipeCropper",
        "inputs": {
            "keep_model_loaded": True,
            "landmarkrunner_onnx_device": "CPU"
        },
        "_meta": {
            "title": "LivePortrait Load MediaPipeCropper"
        }
    },
    "60": {
        "class_type": "DownloadAndLoadLivePortraitModels",
        "inputs": {
            "mode": "human",
            "precision": "auto"
        },
        "_meta": {
            "title": "(Down)Load LivePortraitModels"
        }
    }
})

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