Remove an object

# 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({
    "2": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "UPLOADED_image_FILENAME"
        },
        "_meta": {
            "title": "Load Image"
        }
    },
    "4": {
        "class_type": "SaveImageAdvanced",
        "inputs": {
            "filename_prefix": "Bria_Eraser",
            "format": "png",
            "format.bit_depth": "8-bit",
            "format.input_color_space": "sRGB",
            "images": [
                "15",
                0
            ]
        },
        "_meta": {
            "title": "Save Image (Advanced)"
        }
    },
    "15": {
        "class_type": "BriaEraser",
        "inputs": {
            "image": [
                "2",
                0
            ],
            "mask": [
                "workshop-mask",
                0
            ],
            "mask_type": "manual",
            "moderation": "false"
        },
        "_meta": {
            "title": "Bria Eraser"
        }
    },
    "workshop-mask": {
        "class_type": "LoadImageMask",
        "inputs": {
            "channel": "red",
            "image": "UPLOADED_mask_FILENAME"
        },
        "_meta": {
            "title": "Edit mask (white = edit)"
        }
    }
})
workflow.set_input("2", "image", client.assets.from_url("https://cdn.jsdelivr.net/gh/Comfy-Org/workflow_templates@90c71fb78b3726392d010ff62a8e79e92d7296ad/input/vintage_girl_yellow_apple.png"))
workflow.set_input("workshop-mask", "image", client.assets.from_url("https://comfy.org/workflow-inputs/remove-object-apple-mask.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("4"):
    output.to_file(output.name)