Video Upscale: Topaz Starlight Precise 2.5

# 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({
    "3": {
        "class_type": "LoadVideo",
        "inputs": {
            "file": "UPLOADED_video_FILENAME"
        },
        "_meta": {
            "title": "Load Video"
        }
    },
    "4": {
        "class_type": "SaveVideo",
        "inputs": {
            "filename_prefix": "video/Topaz",
            "format": "auto",
            "format.codec": "auto",
            "video": [
                "5",
                0
            ]
        },
        "_meta": {
            "title": "Save Video"
        }
    },
    "5": {
        "class_type": "TopazVideoEnhance",
        "inputs": {
            "dynamic_compression_level": "Low",
            "interpolation_duplicate": False,
            "interpolation_duplicate_threshold": 0.01,
            "interpolation_enabled": False,
            "interpolation_frame_rate": 60,
            "interpolation_model": "apo-8",
            "interpolation_slowmo": 1,
            "upscaler_creativity": "low",
            "upscaler_enabled": True,
            "upscaler_model": "Starlight Precise 2.5",
            "upscaler_resolution": "FullHD (1080p)",
            "video": [
                "3",
                0
            ]
        },
        "_meta": {
            "title": "Topaz Video Enhance (Legacy)"
        }
    }
})
workflow.set_input("3", "file", client.assets.from_url("https://comfy.org/catalog-media/0885456b-e541-42e6-ad1c-a4fc8119a8b0/1621ffb0-3702-4e21-9e99-d8a9cfae3e89"))

# 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("4"):
    output.to_file(output.name)