Gemini Omni 1.1 Flash: Image to Video

# 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({
    "7": {
        "class_type": "GeminiVideoOmniV2",
        "inputs": {
            "model": "Omni Flash 1.1",
            "model.aspect_ratio": "16:9",
            "model.images.image_1": [
                "11",
                0
            ],
            "model.prompt": "Use @Image1 as the first frame and keep the amber glass bottle, its brass cap and the fluted pedestal unchanged throughout. Single continuous shot: the camera starts low and close on the bottle, then slowly orbits ninety degrees to the right while rising, revealing the terraced concrete courtyard behind it. Rain keeps falling; heavy drops strike the brass cap and burst into fine spray, beads of water run down the glass facets, and the small waterfalls over the terraces pour steadily. Fog drifts from left to right across the background. Midway, a break in the clouds lets a shaft of pale dawn light sweep across the scene, and the liquid inside the bottle glows warm amber as the light passes through it. The shot ends on a calm, centred hero framing, with ripples spreading across the puddles.",
            "model.resolution": "720p",
            "model.seed": 348812024,
            "model.task_type": "image_to_video"
        },
        "_meta": {
            "title": "Google Gemini Omni (Video)"
        }
    },
    "8": {
        "class_type": "SaveVideo",
        "inputs": {
            "codec": "auto",
            "filename_prefix": "video/Omni_Flash_1.1_i2v",
            "format": "auto",
            "format.codec": "auto",
            "video": [
                "7",
                0
            ]
        },
        "_meta": {
            "title": "Save Video"
        }
    },
    "11": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "UPLOADED_image_FILENAME"
        },
        "_meta": {
            "title": "Load Image"
        }
    }
})
workflow.set_input("11", "image", client.assets.from_url("https://comfy.org/catalog-media/2dc26782-8132-4640-872d-125bcb6fd87e/e2124304-56fc-43a3-88e6-8b6e2d29b984"))

# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)
for output in job.get_outputs("8"):
    output.to_file(output.name)