Kling Image to Video (Camera Control) - ComfyUI Built-in Node

class KlingCameraControlI2VNode(KlingImage2VideoNode):
    """
    Kling Image to Video Camera Control Node. This node is a image to video node, but it supports controlling the camera.
    Duration, mode, and model_name request fields are hard-coded because camera control is only supported in pro mode with the kling-v1-5 model at 5s duration as of 2025-05-02.
    """

    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "start_frame": model_field_to_node_input(
                    IO.IMAGE, KlingImage2VideoRequest, "image"
                ),
                "prompt": model_field_to_node_input(
                    IO.STRING, KlingImage2VideoRequest, "prompt", multiline=True
                ),
                "negative_prompt": model_field_to_node_input(
                    IO.STRING,
                    KlingImage2VideoRequest,
                    "negative_prompt",
                    multiline=True,
                ),
                "cfg_scale": model_field_to_node_input(
                    IO.FLOAT, KlingImage2VideoRequest, "cfg_scale"
                ),
                "aspect_ratio": model_field_to_node_input(
                    IO.COMBO,
                    KlingImage2VideoRequest,
                    "aspect_ratio",
                    enum_type=AspectRatio,
                ),
                "camera_control": (
                    "CAMERA_CONTROL",
                    {
                        "tooltip": "Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation.",
                    },
                ),
            },
            "hidden": {"auth_token": "AUTH_TOKEN_COMFY_ORG"},
        }

    DESCRIPTION = "Transform still images into cinematic videos with professional camera movements that simulate real-world cinematography. Control virtual camera actions including zoom, rotation, pan, tilt, and first-person view, while maintaining focus on your original image."

    def api_call(
        self,
        start_frame: torch.Tensor,
        prompt: str,
        negative_prompt: str,
        cfg_scale: float,
        aspect_ratio: str,
        camera_control: CameraControl,
        auth_token: Optional[str] = None,
    ):
        return super().api_call(
            model_name="kling-v1-5",
            start_frame=start_frame,
            cfg_scale=cfg_scale,
            mode="pro",
            aspect_ratio=aspect_ratio,
            duration="5",
            prompt=prompt,
            negative_prompt=negative_prompt,
            camera_control=camera_control,
            auth_token=auth_token,
        )