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,
)
