# 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({
"6": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"38",
0
],
"text": "A young boy in sci-fi style clothing is talking to the camera in an alien desert."
},
"_meta": {
"title": "CLIP Text Encode (Positive Prompt)"
}
},
"7": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"38",
0
],
"text": "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走"
},
"_meta": {
"title": "CLIP Text Encode (Negative Prompt)"
}
},
"37": {
"class_type": "UNETLoader",
"inputs": {
"unet_name": "humo_17B_fp8_e4m3fn.safetensors",
"weight_dtype": "default"
},
"_meta": {
"title": "Load Diffusion Model"
}
},
"38": {
"class_type": "CLIPLoader",
"inputs": {
"clip_name": "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
"device": "default",
"type": "wan"
},
"_meta": {
"title": "Load CLIP"
}
},
"39": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "wan_2.1_vae.safetensors"
},
"_meta": {
"title": "Load VAE"
}
},
"48": {
"class_type": "ModelSamplingSD3",
"inputs": {
"model": [
"61",
0
],
"shift": 8
},
"_meta": {
"title": "ModelSamplingSD3"
}
},
"49": {
"class_type": "LoadImage",
"inputs": {
"image": "video_humo_reference_image.png"
},
"_meta": {
"title": "Load Image"
}
},
"56": {
"class_type": "AudioEncoderEncode",
"inputs": {
"audio": [
"58",
0
],
"audio_encoder": [
"57",
0
]
},
"_meta": {
"title": "AudioEncoderEncode"
}
},
"57": {
"class_type": "AudioEncoderLoader",
"inputs": {
"audio_encoder_name": "whisper_large_v3_fp16.safetensors"
},
"_meta": {
"title": "Load Audio Encoder"
}
},
"58": {
"class_type": "LoadAudio",
"inputs": {
"audio": "video_humo_input_audio.wav"
},
"_meta": {
"title": "Load Audio"
}
},
"59": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/ComfyUI",
"format": "auto",
"format.codec": "auto",
"video": [
"60",
0
]
},
"_meta": {
"title": "Save Video"
}
},
"60": {
"class_type": "CreateVideo",
"inputs": {
"audio": [
"58",
0
],
"bit_depth": "auto",
"codec": "none",
"color_space": "sRGB",
"fps": 25,
"images": [
"63",
0
]
},
"_meta": {
"title": "Create Video"
}
},
"61": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors",
"model": [
"37",
0
],
"strength_model": 1
},
"_meta": {
"title": "Load LoRA"
}
},
"63": {
"class_type": "VAEDecode",
"inputs": {
"samples": [
"64",
0
],
"vae": [
"39",
0
]
},
"_meta": {
"title": "VAE Decode"
}
},
"64": {
"class_type": "KSampler",
"inputs": {
"cfg": 1,
"denoise": 1,
"latent_image": [
"65",
2
],
"model": [
"48",
0
],
"negative": [
"65",
1
],
"positive": [
"65",
0
],
"sampler_name": "uni_pc",
"scheduler": "simple",
"seed": 1067760026265042,
"steps": 6
},
"_meta": {
"title": "KSampler"
}
},
"65": {
"class_type": "WanHuMoImageToVideo",
"inputs": {
"audio_encoder_output": [
"56",
0
],
"batch_size": 1,
"height": 640,
"length": 97,
"negative": [
"7",
0
],
"positive": [
"6",
0
],
"ref_image": [
"49",
0
],
"vae": [
"39",
0
],
"width": 640
},
"_meta": {
"title": "WanHuMoImageToVideo"
}
}
})
# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)