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ComfyUI Built-in Pika 2.2 Scenes Node The Pika 2.2 Scenes node allows you to upload multiple images and generate a high-quality video incorporating these elements. It uses Pika’s 2.2 API to create smooth scene transitions between the images.

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Parameters

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Required Parameters

ParameterTypeDefaultDescription
prompt_textstring""Text prompt describing video content and scenes
negative_promptstring""Elements to exclude from the video
seedinteger0Random seed for generation
ingredients_modeselect”creative”Image combination mode
resolutionselectAPI defaultOutput video resolution
durationselectAPI defaultOutput video length
aspect_ratiofloat1.7777777777777777 (16:9)Video aspect ratio, range 0.4-2.5

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Optional Parameters

ParameterTypeDescription
image_ingredient_1imageFirst scene image
image_ingredient_2imageSecond scene image
image_ingredient_3imageThird scene image
image_ingredient_4imageFourth scene image
image_ingredient_5imageFifth scene image

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Output

OutputTypeDescription
VIDEOvideoGenerated video

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How It Works

The Pika 2.2 Scenes node analyzes all input images and creates a video containing these image elements. The node sends the images and parameters to Pika’s API server, which processes them and returns the generated video. Users can guide the video style and content through prompts, and exclude unwanted elements using negative prompts. The node supports up to 5 input images as ingredients and generates the final video based on the specified combination mode, resolution, duration, and aspect ratio.

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Source Code


class PikaScenesV2_2(PikaNodeBase):
    """Pika 2.2 Scenes Node."""

    @classmethod
    def INPUT_TYPES(cls):
        image_ingredient_input = (
            IO.IMAGE,
            {"tooltip": "Image that will be used as ingredient to create a video."},
        )
        return {
            "required": {
                **cls.get_base_inputs_types(
                    PikaBodyGenerate22C2vGenerate22PikascenesPost,
                ),
                "ingredients_mode": model_field_to_node_input(
                    IO.COMBO,
                    PikaBodyGenerate22C2vGenerate22PikascenesPost,
                    "ingredientsMode",
                    enum_type=IngredientsMode,
                    default="creative",
                ),
                "aspect_ratio": model_field_to_node_input(
                    IO.FLOAT,
                    PikaBodyGenerate22C2vGenerate22PikascenesPost,
                    "aspectRatio",
                    step=0.001,
                    min=0.4,
                    max=2.5,
                    default=1.7777777777777777,
                ),
            },
            "optional": {
                "image_ingredient_1": image_ingredient_input,
                "image_ingredient_2": image_ingredient_input,
                "image_ingredient_3": image_ingredient_input,
                "image_ingredient_4": image_ingredient_input,
                "image_ingredient_5": image_ingredient_input,
            },
            "hidden": {
                "auth_token": "AUTH_TOKEN_COMFY_ORG",
            },
        }

    DESCRIPTION = "Combine your images to create a video with the objects in them. Upload multiple images as ingredients and generate a high-quality video that incorporates all of them."
    RETURN_TYPES = ("VIDEO",)

    def api_call(
        self,
        prompt_text: str,
        negative_prompt: str,
        seed: int,
        resolution: str,
        duration: int,
        ingredients_mode: str,
        aspect_ratio: float,
        image_ingredient_1: Optional[torch.Tensor] = None,
        image_ingredient_2: Optional[torch.Tensor] = None,
        image_ingredient_3: Optional[torch.Tensor] = None,
        image_ingredient_4: Optional[torch.Tensor] = None,
        image_ingredient_5: Optional[torch.Tensor] = None,
        auth_token: Optional[str] = None,
    ) -> tuple[VideoFromFile]:
        """API call for Pika Scenes 2.2."""
        all_image_bytes_io = []
        for image in [
            image_ingredient_1,
            image_ingredient_2,
            image_ingredient_3,
            image_ingredient_4,
            image_ingredient_5,
        ]:
            if image is not None:
                image_bytes_io = tensor_to_bytesio(image)
                image_bytes_io.seek(0)
                all_image_bytes_io.append(image_bytes_io)

        # Prepare files data for multipart upload
        pika_files = [
            ("images", (f"image_{i}.png", image_bytes_io, "image/png"))
            for i, image_bytes_io in enumerate(all_image_bytes_io)
        ]

        # Prepare non-file data using the Pydantic model
        pika_request_data = PikaBodyGenerate22C2vGenerate22PikascenesPost(
            ingredientsMode=ingredients_mode,
            promptText=prompt_text,
            negativePrompt=negative_prompt,
            seed=seed,
            resolution=resolution,
            duration=duration,
            aspectRatio=aspect_ratio,
        )

        initial_operation = SynchronousOperation(
            endpoint=ApiEndpoint(
                path=PATH_PIKASCENES,
                method=HttpMethod.POST,
                request_model=PikaBodyGenerate22C2vGenerate22PikascenesPost,
                response_model=PikaGenerateResponse,
            ),
            request=pika_request_data,
            files=pika_files,
            content_type="multipart/form-data",
            auth_token=auth_token,
        )

        return self.execute_task(initial_operation, auth_token)