# SPDX-License-Identifier: Apache-2.0
from fastvideo import VideoGenerator


def main():
    # Point this to your local diffusers model dir (or replace with a HF model ID).
    model_path = "KyleShao/Cosmos-Predict2.5-2B-Diffusers"

    generator = VideoGenerator.from_pretrained(
        model_path,
        {
            "engine": {
                "num_gpus": 1,
                "use_fsdp_inference": False,  # set True if GPU is out of memory
                "offload": {
                    "dit": False,
                    "vae": False,
                    "text_encoder": True,
                    "pin_cpu_memory": True,
                },
            },
        },
    )

    # image2world example from official repo
    image_path = "assets/images/bus_terminal.jpg"

    prompt = (
        "A nighttime city bus terminal gradually shifts from stillness to subtle movement. "
        "At first, multiple double-decker buses are parked under the glow of overhead lights, "
        "with a central bus labeled '87D' facing forward and stationary. "
        "As the video progresses, the bus in the middle moves ahead slowly, its headlights brightening the surrounding area "
        "and casting reflections onto adjacent vehicles. "
        "The motion creates space in the lineup, signaling activity within the otherwise quiet station. "
        "It then comes to a smooth stop, resuming its position in line. "
        "Overhead signage in Chinese characters remains illuminated, enhancing the vibrant, urban night scene.")

    generator.generate({
        "prompt": prompt,
        "inputs": {"image_path": str(image_path)},
        "output": {"output_path": "outputs_video/cosmos2_5_i2w.mp4", "save_video": True},
        "extensions": {"num_cond_frames": 1},
    })

    generator.shutdown()


if __name__ == "__main__":
    main()