# 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({
"60": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI",
"images": [
"433:8",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"78": {
"class_type": "LoadImage",
"inputs": {
"image": "533fd2770fe1b726c304575a4ee43e7daf939cd4cb25643b8049765cb54f3929.png"
},
"_meta": {
"title": "Load Image"
}
},
"435": {
"class_type": "PrimitiveStringMultiline",
"inputs": {
"value": "have her open her mouth for a t shape"
},
"_meta": {
"title": "Prompt"
}
},
"469": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "ltx-2.3-22b-ic-lora-refocus.safetensors",
"strength_model": 1
},
"_meta": {
"title": "Load LoRA"
}
},
"433:110": {
"class_type": "TextEncodeQwenImageEditPlus",
"inputs": {
"clip": [
"433:38",
0
],
"image1": [
"433:117",
0
],
"prompt": "",
"vae": [
"433:39",
0
]
},
"_meta": {
"title": "Text Encode Qwen Image Edit Plus"
}
},
"433:111": {
"class_type": "TextEncodeQwenImageEditPlus",
"inputs": {
"clip": [
"433:38",
0
],
"image1": [
"433:117",
0
],
"prompt": [
"435",
0
],
"vae": [
"433:39",
0
]
},
"_meta": {
"title": "Text Encode Qwen Image Edit Plus"
}
},
"433:117": {
"class_type": "FluxKontextImageScale",
"inputs": {
"image": [
"78",
0
]
},
"_meta": {
"title": "FluxKontextImageScale"
}
},
"433:3": {
"class_type": "KSampler",
"inputs": {
"cfg": [
"433:442",
0
],
"denoise": 1,
"latent_image": [
"433:88",
0
],
"model": [
"433:75",
0
],
"negative": [
"433:110",
0
],
"positive": [
"433:111",
0
],
"sampler_name": "euler",
"scheduler": "simple",
"seed": 9280158229246,
"steps": [
"433:441",
0
]
},
"_meta": {
"title": "KSampler"
}
},
"433:37": {
"class_type": "UNETLoader",
"inputs": {
"unet_name": "qwen_image_edit_2509_fp8_e4m3fn.safetensors",
"weight_dtype": "default"
},
"_meta": {
"title": "Load Diffusion Model"
}
},
"433:38": {
"class_type": "CLIPLoader",
"inputs": {
"clip_name": "qwen_2.5_vl_7b_fp8_scaled.safetensors",
"device": "default",
"type": "qwen_image"
},
"_meta": {
"title": "Load CLIP"
}
},
"433:39": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "qwen_image_vae.safetensors"
},
"_meta": {
"title": "Load VAE"
}
},
"433:436": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 4
},
"_meta": {
"title": "Stpes"
}
},
"433:437": {
"class_type": "PrimitiveFloat",
"inputs": {
"value": 1
},
"_meta": {
"title": "CFG"
}
},
"433:438": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 20
},
"_meta": {
"title": "Steps"
}
},
"433:439": {
"class_type": "PrimitiveFloat",
"inputs": {
"value": 4
},
"_meta": {
"title": "CFG"
}
},
"433:440": {
"class_type": "ComfySwitchNode",
"inputs": {
"on_false": [
"433:470",
0
],
"on_true": [
"433:89",
0
],
"switch": [
"433:443",
0
]
},
"_meta": {
"title": "Switch (Model)"
}
},
"433:441": {
"class_type": "ComfySwitchNode",
"inputs": {
"on_false": [
"433:438",
0
],
"on_true": [
"433:436",
0
],
"switch": [
"433:443",
0
]
},
"_meta": {
"title": "Switch (Steps)"
}
},
"433:442": {
"class_type": "ComfySwitchNode",
"inputs": {
"on_false": [
"433:439",
0
],
"on_true": [
"433:437",
0
],
"switch": [
"433:443",
0
]
},
"_meta": {
"title": "Switch (CFG)"
}
},
"433:443": {
"class_type": "PrimitiveBoolean",
"inputs": {
"value": False
},
"_meta": {
"title": "Enable Lightning LoRA"
}
},
"433:470": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "illustration-1.0-qwen-image.safetensors",
"model": [
"433:37",
0
],
"strength_model": 1
},
"_meta": {
"title": "Load LoRA"
}
},
"433:66": {
"class_type": "ModelSamplingAuraFlow",
"inputs": {
"model": [
"433:440",
0
],
"sampling": "flow",
"shift": 3
},
"_meta": {
"title": "ModelSamplingAuraFlow"
}
},
"433:75": {
"class_type": "CFGNorm",
"inputs": {
"model": [
"433:66",
0
],
"pre_cfg": False,
"strength": 1
},
"_meta": {
"title": "CFGNorm"
}
},
"433:8": {
"class_type": "VAEDecode",
"inputs": {
"samples": [
"433:3",
0
],
"vae": [
"433:39",
0
]
},
"_meta": {
"title": "VAE Decode"
}
},
"433:88": {
"class_type": "VAEEncode",
"inputs": {
"pixels": [
"433:117",
0
],
"vae": [
"433:39",
0
]
},
"_meta": {
"title": "VAE Encode"
}
},
"433:89": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors",
"model": [
"433:37",
0
],
"strength_model": 1
},
"_meta": {
"title": "Load LoRA"
}
}
})
# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)