Vidu Q1: Text 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({
    "14": {
        "class_type": "SaveVideo",
        "inputs": {
            "filename_prefix": "video/ComfyUI",
            "format": "auto",
            "format.codec": "auto",
            "video": [
                "16",
                0
            ]
        },
        "_meta": {
            "title": "Save Video"
        }
    },
    "16": {
        "class_type": "ViduTextToVideoNode",
        "inputs": {
            "aspect_ratio": "16:9",
            "duration": 5,
            "model": "viduq1",
            "movement_amplitude": "auto",
            "prompt": "A snowboarder completes a difficult aerial spin in a half-pipe. The video is shot from a follow 视角，and the wide-angle lens creates a strong sense of immersion and visual impact. The snowboarder speeds up from the snow slope, performs a stretched-out flip and board grab in the blue sky with a graceful posture, and finally lands steadily in one go. The bright sunshine, the majestic snow-capped mountains in the background, together with the snowboarder's bright clothes and snowboard, form a magnificent picture combining strength and beauty, perfectly showing the speed, skills and free passion of snowboarding.\n",
            "resolution": "1080p",
            "seed": 1237012332
        },
        "_meta": {
            "title": "Vidu Text To Video Generation"
        }
    }
})

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