Phone Image to Product Video: Shoe

# 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": "LoadImage",
        "inputs": {
            "image": "product_shoe.jpeg"
        },
        "_meta": {
            "title": "Load Product Image"
        }
    },
    "5": {
        "class_type": "MinimaxHailuoVideoNode",
        "inputs": {
            "duration": 6,
            "first_frame_image": [
                "10",
                0
            ],
            "prompt_optimizer": True,
            "prompt_text": "Product video — 360° rotating hero showcase of a white leather sneaker, cinematic soft spotlight, minimal studio background, seamless loop.",
            "resolution": "1080P",
            "seed": 111
        },
        "_meta": {
            "title": "360 Rotation Vid - MiniMax Hailuo Video"
        }
    },
    "9": {
        "class_type": "SaveImage",
        "inputs": {
            "filename_prefix": "ComfyUI",
            "images": [
                "10",
                0
            ]
        },
        "_meta": {
            "title": "Save Image"
        }
    },
    "10": {
        "class_type": "ByteDanceSeedreamNode",
        "inputs": {
            "fail_on_partial": True,
            "height": 2048,
            "image": [
                "1",
                0
            ],
            "max_images": 1,
            "model": "seedream-4-5-251128",
            "prompt": "Professional studio product photography of a pristine white Adidas Samba sneaker from image 1, positioned at a dynamic three-quarter angle. The lighting is dramatic and cool-toned, featuring a hard spotlight that creates a glowing halo effect on the ground while casting soft shadows. The background is a seamless, clean gradient transitioning from a light silver-gray top to a deep anthracite black floor. Minimal composition with generous negative space, shot with shallow depth of field (f/2.8) to emphasize product details while softly blurring the background. ",
            "seed": 555,
            "sequential_image_generation": "disabled",
            "size_preset": "1664x2496 (2:3)",
            "watermark": False,
            "width": 2048
        },
        "_meta": {
            "title": "ByteDance Seedream 4.5 & 5.0"
        }
    },
    "16": {
        "class_type": "SaveVideo",
        "inputs": {
            "filename_prefix": "video/ComfyUI-1",
            "format": "auto",
            "format.codec": "auto",
            "video": [
                "5",
                0
            ]
        },
        "_meta": {
            "title": "Save Video"
        }
    },
    "17": {
        "class_type": "SaveVideo",
        "inputs": {
            "filename_prefix": "video/ComfyUI-2",
            "format": "auto",
            "format.codec": "auto",
            "video": [
                "18",
                0
            ]
        },
        "_meta": {
            "title": "Save Video"
        }
    },
    "18": {
        "class_type": "MinimaxHailuoVideoNode",
        "inputs": {
            "duration": 6,
            "first_frame_image": [
                "10",
                0
            ],
            "prompt_optimizer": True,
            "prompt_text": "Product video — camera slowly zooms toward the sneaker, revealing texture details, light reflecting on the leather surface, cinematic shallow depth of field\n",
            "resolution": "1080P",
            "seed": 222
        },
        "_meta": {
            "title": "Detailed Texture Vid - MiniMax Hailuo Video"
        }
    },
    "19": {
        "class_type": "SaveVideo",
        "inputs": {
            "filename_prefix": "video/ComfyUI-2",
            "format": "auto",
            "format.codec": "auto",
            "video": [
                "20",
                0
            ]
        },
        "_meta": {
            "title": "Save Video"
        }
    },
    "20": {
        "class_type": "MinimaxHailuoVideoNode",
        "inputs": {
            "duration": 6,
            "first_frame_image": [
                "10",
                0
            ],
            "prompt_optimizer": True,
            "prompt_text": "Product video — camera pans across the sneaker from heel to toe, dramatic cinematic light sweeps across, dust motes floating in the air",
            "resolution": "1080P",
            "seed": 333
        },
        "_meta": {
            "title": "Cinematic Pan Vid - MiniMax Hailuo Video"
        }
    },
    "30": {
        "class_type": "SaveVideo",
        "inputs": {
            "filename_prefix": "video/ComfyUI",
            "format": "auto",
            "format.codec": "auto",
            "video": [
                "27:27",
                0
            ]
        },
        "_meta": {
            "title": "Save Video"
        }
    },
    "27:22": {
        "class_type": "GetVideoComponents",
        "inputs": {
            "video": [
                "5",
                0
            ]
        },
        "_meta": {
            "title": "Get Video Components"
        }
    },
    "27:23": {
        "class_type": "GetVideoComponents",
        "inputs": {
            "video": [
                "18",
                0
            ]
        },
        "_meta": {
            "title": "Get Video Components"
        }
    },
    "27:24": {
        "class_type": "ImageBatch",
        "inputs": {
            "image1": [
                "27:22",
                0
            ],
            "image2": [
                "27:23",
                0
            ]
        },
        "_meta": {
            "title": "Batch Images (DEPRECATED)"
        }
    },
    "27:25": {
        "class_type": "ImageBatch",
        "inputs": {
            "image1": [
                "27:24",
                0
            ],
            "image2": [
                "27:26",
                0
            ]
        },
        "_meta": {
            "title": "Batch Images (DEPRECATED)"
        }
    },
    "27:26": {
        "class_type": "GetVideoComponents",
        "inputs": {
            "video": [
                "20",
                0
            ]
        },
        "_meta": {
            "title": "Get Video Components"
        }
    },
    "27:27": {
        "class_type": "CreateVideo",
        "inputs": {
            "bit_depth": "auto",
            "codec": "none",
            "color_space": "sRGB",
            "fps": [
                "27:22",
                2
            ],
            "images": [
                "27:25",
                0
            ]
        },
        "_meta": {
            "title": "Create Video"
        }
    }
})

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