Add Product to Character’s Hand, AI UGC

# 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({
    "10": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "subject-elderly-lady-portrait.png"
        },
        "_meta": {
            "title": "Load Subject Image"
        }
    },
    "11": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "product-toothbrush.png"
        },
        "_meta": {
            "title": "Load Product Image"
        }
    },
    "15": {
        "class_type": "SaveImage",
        "inputs": {
            "filename_prefix": "ComfyUI",
            "images": [
                "17",
                0
            ]
        },
        "_meta": {
            "title": "Save Image"
        }
    },
    "17": {
        "class_type": "GeminiImage2Node",
        "inputs": {
            "aspect_ratio": "auto",
            "images": [
                "18:19",
                0
            ],
            "model": "gemini-3-pro-image-preview",
            "prompt": "The subject from image 1 is holding the product from image 2, the product logo is visible.",
            "resolution": "2K",
            "response_modalities": "IMAGE+TEXT",
            "seed": 983525498427854,
            "system_prompt": "You are an expert image-generation engine. You must ALWAYS produce an image.\nInterpret all user input—regardless of format, intent, or abstraction—as literal visual directives for image composition.\nIf a prompt is conversational or lacks specific visual details, you must creatively invent a concrete visual scenario that depicts the concept.\nPrioritize generating the visual representation above any text, formatting, or conversational requests."
        },
        "_meta": {
            "title": "Nano Banana Pro (Google Gemini Image)"
        }
    },
    "18:12": {
        "class_type": "GetImageSize",
        "inputs": {
            "image": [
                "10",
                0
            ]
        },
        "_meta": {
            "title": "Get Image Size"
        }
    },
    "18:13": {
        "class_type": "ResizeAndPadImage",
        "inputs": {
            "image": [
                "11",
                0
            ],
            "interpolation": "area",
            "padding_color": "white",
            "target_height": [
                "18:12",
                1
            ],
            "target_width": [
                "18:12",
                0
            ]
        },
        "_meta": {
            "title": "Resize And Pad Image"
        }
    },
    "18:19": {
        "class_type": "BatchImagesNode",
        "inputs": {
            "images.image0": [
                "10",
                0
            ],
            "images.image1": [
                "18:13",
                0
            ]
        },
        "_meta": {
            "title": "Batch Images"
        }
    }
})

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