Recraft V4: Style‑Reference Image Generation

# 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({
    "7": {
        "class_type": "RecraftV4CreateStyleNode",
        "inputs": {
            "images.image0": [
                "12",
                0
            ],
            "images.image1": [
                "8",
                0
            ],
            "images.image2": [
                "11",
                0
            ],
            "images.image3": [
                "9",
                0
            ],
            "model": "recraftv4_styles"
        },
        "_meta": {
            "title": "Recraft V4 Create Style"
        }
    },
    "8": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "UPLOADED_image_FILENAME"
        },
        "_meta": {
            "title": "Load Image"
        }
    },
    "9": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "UPLOADED_image_2_FILENAME"
        },
        "_meta": {
            "title": "Load Image"
        }
    },
    "11": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "UPLOADED_image_3_FILENAME"
        },
        "_meta": {
            "title": "Load Image"
        }
    },
    "12": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "UPLOADED_image_4_FILENAME"
        },
        "_meta": {
            "title": "Load Image"
        }
    },
    "13": {
        "class_type": "SaveText",
        "inputs": {
            "filename_prefix": "Recraft_Style_v4/style",
            "format": "txt",
            "text": [
                "7",
                0
            ]
        },
        "_meta": {
            "title": "Save Text"
        }
    },
    "14": {
        "class_type": "RecraftV4TextToImageNode",
        "inputs": {
            "model": "recraftv4_1",
            "model.size": "1024x1024",
            "n": 1,
            "negative_prompt": "",
            "prompt": "A dramatic silhouette portrait of an elegant neck in profile against a luminous, deep midnight-purple background. The jaw and throat are cast in plum-dark shadow, hair pinned high exposing the ear, while a teardrop ruby pendant earring hangs from the lobe, its crimson core lit from behind like an ember, scattering a faint red glow onto the shadowed skin below. The light passes through the blood-red stone itself, isolating its inner fire as the sole focal point of the high-contrast, minimalist composition. Absolutely no text, no typography, no letters, no words, no numbers, no logos, no watermark, no captions, pure imagery only.",
            "seed": 0,
            "style_id": [
                "13",
                0
            ],
            "style_match": "precise"
        },
        "_meta": {
            "title": "Recraft V4 Text to Image"
        }
    },
    "15": {
        "class_type": "SaveImageAdvanced",
        "inputs": {
            "filename_prefix": "ComfyUI",
            "format": "png",
            "format.bit_depth": "8-bit",
            "format.input_color_space": "sRGB",
            "images": [
                "14",
                0
            ]
        },
        "_meta": {
            "title": "Save Image (Advanced)"
        }
    }
})
# Replace each example.com URL with a public URL of your file.
workflow.set_input("8", "image", client.assets.from_url("https://example.com/replace-with-a-url/image"))
workflow.set_input("9", "image", client.assets.from_url("https://example.com/replace-with-a-url/image_2"))
workflow.set_input("11", "image", client.assets.from_url("https://example.com/replace-with-a-url/image_3"))
workflow.set_input("12", "image", client.assets.from_url("https://example.com/replace-with-a-url/image_4"))

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