Wan 2.1 Fun Camera 1.3B

# 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": 6,
            "denoise": 1,
            "latent_image": [
                "56",
                2
            ],
            "model": [
                "54",
                0
            ],
            "negative": [
                "56",
                1
            ],
            "positive": [
                "56",
                0
            ],
            "sampler_name": "uni_pc",
            "scheduler": "simple",
            "seed": 987948718394762,
            "steps": 20
        },
        "_meta": {
            "title": "KSampler"
        }
    },
    "6": {
        "class_type": "CLIPTextEncode",
        "inputs": {
            "clip": [
                "38",
                0
            ],
            "text": "Origami-style Chinese landscapes, miniature landscapes, bridges, waterfalls"
        },
        "_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)"
        }
    },
    "8": {
        "class_type": "VAEDecode",
        "inputs": {
            "samples": [
                "3",
                0
            ],
            "vae": [
                "39",
                0
            ]
        },
        "_meta": {
            "title": "VAE Decode"
        }
    },
    "37": {
        "class_type": "UNETLoader",
        "inputs": {
            "unet_name": "wan2.1_fun_camera_v1.1_1.3B_bf16.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"
        }
    },
    "49": {
        "class_type": "CLIPVisionLoader",
        "inputs": {
            "clip_name": "clip_vision_h.safetensors"
        },
        "_meta": {
            "title": "Load CLIP Vision"
        }
    },
    "51": {
        "class_type": "CLIPVisionEncode",
        "inputs": {
            "clip_vision": [
                "49",
                0
            ],
            "crop": "none",
            "image": [
                "52",
                0
            ]
        },
        "_meta": {
            "title": "CLIP Vision Encode"
        }
    },
    "52": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "video_wan2.1_fun_camera_v1.1_1.3B_start_image.jpg"
        },
        "_meta": {
            "title": "Load Image"
        }
    },
    "54": {
        "class_type": "ModelSamplingSD3",
        "inputs": {
            "model": [
                "37",
                0
            ],
            "shift": 8
        },
        "_meta": {
            "title": "ModelSamplingSD3"
        }
    },
    "56": {
        "class_type": "WanCameraImageToVideo",
        "inputs": {
            "batch_size": 1,
            "camera_conditions": [
                "57",
                0
            ],
            "clip_vision_output": [
                "51",
                0
            ],
            "height": [
                "57",
                2
            ],
            "length": [
                "57",
                3
            ],
            "negative": [
                "7",
                0
            ],
            "positive": [
                "6",
                0
            ],
            "start_image": [
                "52",
                0
            ],
            "vae": [
                "39",
                0
            ],
            "width": [
                "57",
                1
            ]
        },
        "_meta": {
            "title": "WanCameraImageToVideo"
        }
    },
    "57": {
        "class_type": "WanCameraEmbedding",
        "inputs": {
            "camera_pose": "Zoom In",
            "cx": 0.5,
            "cy": 0.5,
            "fx": 0.5,
            "fy": 0.5,
            "height": 512,
            "length": 81,
            "speed": 1,
            "width": 512
        },
        "_meta": {
            "title": "WanCameraEmbedding"
        }
    },
    "58": {
        "class_type": "CreateVideo",
        "inputs": {
            "bit_depth": "auto",
            "codec": "none",
            "color_space": "sRGB",
            "fps": 16,
            "images": [
                "8",
                0
            ]
        },
        "_meta": {
            "title": "Create Video"
        }
    },
    "59": {
        "class_type": "SaveVideo",
        "inputs": {
            "filename_prefix": "video/ComfyUI",
            "format": "auto",
            "format.codec": "auto",
            "video": [
                "58",
                0
            ]
        },
        "_meta": {
            "title": "Save Video"
        }
    }
})

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