Multiple Prompt List

# 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({
    "1": {
        "class_type": "FL_PromptSelector",
        "inputs": {
            "append_text": "sitting on a table in a green room",
            "index": [
                "2",
                0
            ],
            "prepend_text": "a 1960s fine art crayon illustration of",
            "prompts": "an apple\nan orange\na peach\na grape"
        },
        "_meta": {
            "title": "FL Prompt Selector"
        }
    },
    "2": {
        "class_type": "PrimitiveInt",
        "inputs": {
            "value": 5
        },
        "_meta": {
            "title": "Integer Counter"
        }
    },
    "3": {
        "class_type": "SaveImage",
        "inputs": {
            "filename_prefix": "ComfyUI",
            "images": [
                "98:8",
                0
            ]
        },
        "_meta": {
            "title": "Save Image"
        }
    },
    "98:13": {
        "class_type": "EmptySD3LatentImage",
        "inputs": {
            "batch_size": 1,
            "height": 1024,
            "width": 1024
        },
        "_meta": {
            "title": "EmptySD3LatentImage"
        }
    },
    "98:27": {
        "class_type": "CLIPTextEncode",
        "inputs": {
            "clip": [
                "98:30",
                0
            ],
            "text": [
                "1",
                0
            ]
        },
        "_meta": {
            "title": "CLIP Text Encode (Prompt)"
        }
    },
    "98:28": {
        "class_type": "UNETLoader",
        "inputs": {
            "unet_name": "z_image_turbo_bf16.safetensors",
            "weight_dtype": "default"
        },
        "_meta": {
            "title": "Load Diffusion Model"
        }
    },
    "98:29": {
        "class_type": "VAELoader",
        "inputs": {
            "vae_name": "ae.safetensors"
        },
        "_meta": {
            "title": "Load VAE"
        }
    },
    "98:30": {
        "class_type": "CLIPLoader",
        "inputs": {
            "clip_name": "qwen_3_4b.safetensors",
            "device": "default",
            "type": "lumina2"
        },
        "_meta": {
            "title": "Load CLIP"
        }
    },
    "98:33": {
        "class_type": "ConditioningZeroOut",
        "inputs": {
            "conditioning": [
                "98:27",
                0
            ]
        },
        "_meta": {
            "title": "Conditioning Zero Out"
        }
    },
    "98:8": {
        "class_type": "VAEDecode",
        "inputs": {
            "samples": [
                "98:97",
                0
            ],
            "vae": [
                "98:29",
                0
            ]
        },
        "_meta": {
            "title": "VAE Decode"
        }
    },
    "98:97": {
        "class_type": "KSampler",
        "inputs": {
            "cfg": 1,
            "denoise": 1,
            "latent_image": [
                "98:13",
                0
            ],
            "model": [
                "98:28",
                0
            ],
            "negative": [
                "98:33",
                0
            ],
            "positive": [
                "98:27",
                0
            ],
            "sampler_name": "res_multistep",
            "scheduler": "simple",
            "seed": 792310888931084,
            "steps": 4
        },
        "_meta": {
            "title": "KSampler"
        }
    }
})

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