LongCat Image: Text to Image

# 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({
    "9": {
        "class_type": "SaveImage",
        "inputs": {
            "filename_prefix": "LongCat-Image",
            "images": [
                "13:8",
                0
            ]
        },
        "_meta": {
            "title": "Save Image"
        }
    },
    "14": {
        "class_type": "ResolutionSelector",
        "inputs": {
            "aspect_ratio": "1:1 (Square)",
            "megapixels": 1,
            "multiple": 8
        },
        "_meta": {
            "title": "Resolution Selector"
        }
    },
    "13:1": {
        "class_type": "UNETLoader",
        "inputs": {
            "unet_name": "longcat_image_bf16.safetensors",
            "weight_dtype": "default"
        },
        "_meta": {
            "title": "Load Diffusion Model"
        }
    },
    "13:10": {
        "class_type": "CFGNorm",
        "inputs": {
            "model": [
                "13:1",
                0
            ],
            "pre_cfg": False,
            "strength": 1
        },
        "_meta": {
            "title": "CFGNorm"
        }
    },
    "13:11": {
        "class_type": "FluxGuidance",
        "inputs": {
            "conditioning": [
                "13:4",
                0
            ],
            "guidance": 4
        },
        "_meta": {
            "title": "FluxGuidance"
        }
    },
    "13:12": {
        "class_type": "FluxGuidance",
        "inputs": {
            "conditioning": [
                "13:5",
                0
            ],
            "guidance": 4
        },
        "_meta": {
            "title": "FluxGuidance"
        }
    },
    "13:2": {
        "class_type": "CLIPLoader",
        "inputs": {
            "clip_name": "qwen_2.5_vl_7b_fp8_scaled.safetensors",
            "device": "default",
            "type": "longcat_image"
        },
        "_meta": {
            "title": "Load CLIP"
        }
    },
    "13:3": {
        "class_type": "VAELoader",
        "inputs": {
            "vae_name": "ae.safetensors"
        },
        "_meta": {
            "title": "Load VAE"
        }
    },
    "13:4": {
        "class_type": "CLIPTextEncode",
        "inputs": {
            "clip": [
                "13:2",
                0
            ],
            "text": "High-fashion portrait of a man with a shaved head and stubble, head tilted back and gazing upward. His skin and thick-knitted dark green turtleneck sweater are bathed in a monochromatic teal-green light, creating a uniform, matte finish. He wears round, thin-framed sunglasses with reflective amber-orange lenses that catch the light. The background is a solid, vibrant burnt orange, creating a bold, high-contrast color palette. The lighting is hard and directional, casting sharp shadows on his face. Hyper-detailed, photorealistic, sharp focus on facial features and fabric texture, editorial photography, 8K."
        },
        "_meta": {
            "title": "CLIP Text Encode (Prompt)"
        }
    },
    "13:5": {
        "class_type": "CLIPTextEncode",
        "inputs": {
            "clip": [
                "13:2",
                0
            ],
            "text": "blurry, low resolution, oversaturated, harsh lighting, messy composition, distorted face, extra fingers, bad anatomy, cheap jewelry, plastic texture, cartoon, illustration, anime, watermark, text, logo"
        },
        "_meta": {
            "title": "CLIP Text Encode (Prompt)"
        }
    },
    "13:6": {
        "class_type": "EmptySD3LatentImage",
        "inputs": {
            "batch_size": 1,
            "height": [
                "14",
                1
            ],
            "width": [
                "14",
                0
            ]
        },
        "_meta": {
            "title": "EmptySD3LatentImage"
        }
    },
    "13:7": {
        "class_type": "KSampler",
        "inputs": {
            "cfg": 4,
            "denoise": 1,
            "latent_image": [
                "13:6",
                0
            ],
            "model": [
                "13:10",
                0
            ],
            "negative": [
                "13:12",
                0
            ],
            "positive": [
                "13:11",
                0
            ],
            "sampler_name": "euler",
            "scheduler": "simple",
            "seed": 284089112874294,
            "steps": 20
        },
        "_meta": {
            "title": "KSampler"
        }
    },
    "13:8": {
        "class_type": "VAEDecode",
        "inputs": {
            "samples": [
                "13:7",
                0
            ],
            "vae": [
                "13:3",
                0
            ]
        },
        "_meta": {
            "title": "VAE Decode"
        }
    }
})

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