Extend an image’s borders

# 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": "KSampler",
        "inputs": {
            "cfg": 1,
            "denoise": 1,
            "latent_image": [
                "38",
                2
            ],
            "model": [
                "39",
                0
            ],
            "negative": [
                "38",
                1
            ],
            "positive": [
                "38",
                0
            ],
            "sampler_name": "euler",
            "scheduler": "normal",
            "seed": 164211176398261,
            "steps": 20
        },
        "_meta": {
            "title": "KSampler"
        }
    },
    "8": {
        "class_type": "VAEDecode",
        "inputs": {
            "samples": [
                "3",
                0
            ],
            "vae": [
                "32",
                0
            ]
        },
        "_meta": {
            "title": "VAE Decode"
        }
    },
    "9": {
        "class_type": "SaveImage",
        "inputs": {
            "filename_prefix": "ComfyUI",
            "images": [
                "8",
                0
            ]
        },
        "_meta": {
            "title": "Save Image"
        }
    },
    "17": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "UPLOADED_image_FILENAME"
        },
        "_meta": {
            "title": "Load Image"
        }
    },
    "23": {
        "class_type": "CLIPTextEncode",
        "inputs": {
            "clip": [
                "34",
                0
            ],
            "text": "beautiful scenery"
        },
        "_meta": {
            "title": "CLIP Text Encode (Positive Prompt)"
        }
    },
    "26": {
        "class_type": "FluxGuidance",
        "inputs": {
            "conditioning": [
                "23",
                0
            ],
            "guidance": 30
        },
        "_meta": {
            "title": "FluxGuidance"
        }
    },
    "31": {
        "class_type": "UNETLoader",
        "inputs": {
            "unet_name": "flux1-fill-dev.safetensors",
            "weight_dtype": "default"
        },
        "_meta": {
            "title": "Load Diffusion Model"
        }
    },
    "32": {
        "class_type": "VAELoader",
        "inputs": {
            "vae_name": "ae.safetensors"
        },
        "_meta": {
            "title": "Load VAE"
        }
    },
    "34": {
        "class_type": "DualCLIPLoader",
        "inputs": {
            "clip_name1": "clip_l.safetensors",
            "clip_name2": "t5xxl_fp16.safetensors",
            "device": "default",
            "type": "flux"
        },
        "_meta": {
            "title": "Load CLIP (Dual)"
        }
    },
    "38": {
        "class_type": "InpaintModelConditioning",
        "inputs": {
            "mask": [
                "44",
                1
            ],
            "negative": [
                "46",
                0
            ],
            "noise_mask": False,
            "pixels": [
                "44",
                0
            ],
            "positive": [
                "26",
                0
            ],
            "vae": [
                "32",
                0
            ]
        },
        "_meta": {
            "title": "InpaintModelConditioning"
        }
    },
    "39": {
        "class_type": "DifferentialDiffusion",
        "inputs": {
            "model": [
                "31",
                0
            ],
            "strength": 1
        },
        "_meta": {
            "title": "Differential Diffusion"
        }
    },
    "44": {
        "class_type": "ImagePadForOutpaint",
        "inputs": {
            "bottom": 400,
            "feathering": 24,
            "image": [
                "17",
                0
            ],
            "left": 400,
            "right": 400,
            "top": 0
        },
        "_meta": {
            "title": "Pad Image for Outpainting"
        }
    },
    "46": {
        "class_type": "ConditioningZeroOut",
        "inputs": {
            "conditioning": [
                "23",
                0
            ]
        },
        "_meta": {
            "title": "Conditioning Zero Out"
        }
    }
})
workflow.set_input("17", "image", client.assets.from_url("https://cdn.jsdelivr.net/gh/Comfy-Org/workflow_templates@90c71fb78b3726392d010ff62a8e79e92d7296ad/input/flux_fill_outpaint_example_input_image.png"))

# 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("9"):
    output.to_file(output.name)