Chatter Box: Voice Cloning with TTS

# 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({
    "4": {
        "class_type": "FL_ChatterboxTTS",
        "inputs": {
            "audio_prompt": [
                "6",
                0
            ],
            "cfg_weight": 0.5,
            "exaggeration": 0.5,
            "keep_model_loaded": False,
            "seed": 390519100,
            "temperature": 0.8,
            "text": "Good evening, and welcome aboard the late train to the coast. Our journey tonight will take a little under two hours, with stops at Millbrook, Harrow Bridge and the old harbour town of Kestle. The buffet car is open until ten, serving hot tea, soup and fresh bread from the bakery at the station. If you look out of the left windows as we cross the river, you may see the herons fishing in the shallows. Please keep your tickets close at hand, settle in, and enjoy the ride.",
            "use_cpu": False
        },
        "_meta": {
            "title": "FL Chatterbox TTS"
        }
    },
    "5": {
        "class_type": "SaveAudioMP3",
        "inputs": {
            "audio": [
                "4",
                0
            ],
            "filename_prefix": "audio/chatterbox_tts",
            "quality": "V0"
        },
        "_meta": {
            "title": "Save Audio (MP3) (DEPRECATED)"
        }
    },
    "6": {
        "class_type": "LoadAudio",
        "inputs": {
            "audio": "UPLOADED_voice_FILENAME"
        },
        "_meta": {
            "title": "Load Audio"
        }
    }
})
workflow.set_input("6", "audio", client.assets.from_url("https://comfy.org/catalog-media/a8cb87b0-2285-4cd9-bee8-c0a5011ced19/3bb18f46-c38e-4407-94e0-2a808affc011"))

# 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("5"):
    output.to_file(output.name)