Kling O3: FLF2V

# 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({
    "14": {
        "class_type": "SaveVideo",
        "inputs": {
            "filename_prefix": "video/kling_o3_flf2v",
            "format": "auto",
            "format.codec": "auto",
            "video": [
                "32",
                0
            ]
        },
        "_meta": {
            "title": "Save Video"
        }
    },
    "17": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "ivory_rider_right_front_view.png"
        },
        "_meta": {
            "title": "First Frame"
        }
    },
    "32": {
        "class_type": "KlingOmniProFirstLastFrameNode",
        "inputs": {
            "duration": 5,
            "end_frame": [
                "34",
                0
            ],
            "first_frame": [
                "17",
                0
            ],
            "generate_audio": False,
            "model_name": "kling-v3-omni",
            "prompt": "A graceful pale-haired girl in an ivory lace outfit and orange-tinted sunglasses rides a majestic white horse. The scene transitions from a calm, intimate close-up (first frame) to a dynamic, sweeping gallop across a sun-drenched desert (end frame). The horse’s mane flows with motion, and the desert landscape shifts from a soft, ethereal close-up to a vast, open expanse. The transition is smooth, maintaining the character’s and horse’s consistent appearance and style, with cinematic lighting and a dreamlike, otherworldly atmosphere.\n",
            "resolution": "1080p",
            "seed": 0,
            "storyboards": "disabled"
        },
        "_meta": {
            "title": "Kling 3.0 Omni First-Last-Frame to Video"
        }
    },
    "34": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "ivory_rider.png"
        },
        "_meta": {
            "title": "End Frame"
        }
    }
})

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