PixVerse Transition Video - ComfyUI Native Node Documentation

Create smooth transition videos between start and end frames using PixVerse AI

The Pixverse Transition Video node connects to PixVerse’s API to generate smooth video transitions between two images. It automatically creates all intermediate frames to produce fluid transformations, perfect for morphing effects, scene transitions, and object evolution.

Parameters

Required Parameters

Parameter	Type	Default	Description
first_frame	Image	-	Starting frame image
last_frame	Image	-	Ending frame image
prompt	String	""	Text prompt describing video and transition
quality	Select	”PixverseQuality.res_540p”	Output video quality
duration_seconds	Select	-	Length of generated video
motion_mode	Select	-	Video motion style
seed	Integer	0	Random seed (range: 0-2147483647)

Optional Parameters

Parameter	Type	Default	Description
negative_prompt	String	""	Elements to avoid in video
pixverse_template	PIXVERSE_TEMPLATE	None	Optional style preset

Parameter Constraints

• When quality is set to 1080p, motion_mode is forced to normal and duration_seconds to 5 seconds
• When duration_seconds is not 5 seconds, motion_mode is forced to normal

Output

Output	Type	Description
VIDEO	Video	Generated video

Source Code

class PixverseTransitionVideoNode(ComfyNodeABC):
    """
    Generates videos synchronously based on prompt and output_size.
    """

    RETURN_TYPES = (IO.VIDEO,)
    DESCRIPTION = cleandoc(__doc__ or "")  # Handle potential None value
    FUNCTION = "api_call"
    API_NODE = True
    CATEGORY = "api node/video/Pixverse"

    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "first_frame": (
                    IO.IMAGE,
                ),
                "last_frame": (
                    IO.IMAGE,
                ),
                "prompt": (
                    IO.STRING,
                    {
                        "multiline": True,
                        "default": "",
                        "tooltip": "Prompt for the video generation",
                    },
                ),
                "quality": (
                    [resolution.value for resolution in PixverseQuality],
                    {
                        "default": PixverseQuality.res_540p,
                    },
                ),
                "duration_seconds": ([dur.value for dur in PixverseDuration],),
                "motion_mode": ([mode.value for mode in PixverseMotionMode],),
                "seed": (
                    IO.INT,
                    {
                        "default": 0,
                        "min": 0,
                        "max": 2147483647,
                        "control_after_generate": True,
                        "tooltip": "Seed for video generation.",
                    },
                ),
            },
            "optional": {
                "negative_prompt": (
                    IO.STRING,
                    {
                        "default": "",
                        "forceInput": True,
                        "tooltip": "An optional text description of undesired elements on an image.",
                    },
                ),
                "pixverse_template": (
                    PixverseIO.TEMPLATE,
                    {
                        "tooltip": "An optional template to influence style of generation, created by the Pixverse Template node."
                    }
                )
            },
            "hidden": {
                "auth_token": "AUTH_TOKEN_COMFY_ORG",
            },
        }

    def api_call(
        self,
        first_frame: torch.Tensor,
        last_frame: torch.Tensor,
        prompt: str,
        quality: str,
        duration_seconds: int,
        motion_mode: str,
        seed,
        negative_prompt: str=None,
        pixverse_template: int=None,
        auth_token=None,
        **kwargs,
    ):
        first_frame_id = upload_image_to_pixverse(first_frame, auth_token=auth_token)
        last_frame_id = upload_image_to_pixverse(last_frame, auth_token=auth_token)

        # 1080p is limited to 5 seconds duration
        # only normal motion_mode supported for 1080p or for non-5 second duration
        if quality == PixverseQuality.res_1080p:
            motion_mode = PixverseMotionMode.normal
            duration_seconds = PixverseDuration.dur_5
        elif duration_seconds != PixverseDuration.dur_5:
            motion_mode = PixverseMotionMode.normal

        operation = SynchronousOperation(
            endpoint=ApiEndpoint(
                path="/proxy/pixverse/video/transition/generate",
                method=HttpMethod.POST,
                request_model=PixverseTransitionVideoRequest,
                response_model=PixverseVideoResponse,
            ),
            request=PixverseTransitionVideoRequest(
                first_frame_img=first_frame_id,
                last_frame_img=last_frame_id,
                prompt=prompt,
                quality=quality,
                duration=duration_seconds,
                motion_mode=motion_mode,
                negative_prompt=negative_prompt if negative_prompt else None,
                template_id=pixverse_template,
                seed=seed,
            ),
            auth_token=auth_token,
        )
        response_api = operation.execute()

        if response_api.Resp is None:
            raise Exception(f"Pixverse request failed: '{response_api.ErrMsg}'")

        operation = PollingOperation(
            poll_endpoint=ApiEndpoint(
                path=f"/proxy/pixverse/video/result/{response_api.Resp.video_id}",
                method=HttpMethod.GET,
                request_model=EmptyRequest,
                response_model=PixverseGenerationStatusResponse,
            ),
            completed_statuses=[PixverseStatus.successful],
            failed_statuses=[PixverseStatus.contents_moderation, PixverseStatus.failed, PixverseStatus.deleted],
            status_extractor=lambda x: x.Resp.status,
            auth_token=auth_token,
        )
        response_poll = operation.execute()

        vid_response = requests.get(response_poll.Resp.url)
        return (VideoFromFile(BytesIO(vid_response.content)),)