from fastvideo import VideoGenerator

# from fastvideo.api.sampling_param import SamplingParam

OUTPUT_PATH = "video_samples_wan2_2_14B_i2v"


def main():
    # FastVideo will automatically use the optimal default arguments for the
    # model.
    # If a local path is provided, FastVideo will make a best effort
    # attempt to identify the optimal arguments.
    generator = VideoGenerator.from_pretrained(
        "Wan-AI/Wan2.2-I2V-A14B-Diffusers",
        # FastVideo will automatically handle distributed setup
        num_gpus=1,
        use_fsdp_inference=False,  # set to True if GPU is out of memory
        dit_cpu_offload=True,  # DiT need to be offloaded for MoE
        vae_cpu_offload=False,
        text_encoder_cpu_offload=True,
        # Set pin_cpu_memory to false if CPU RAM is limited and there're no frequent CPU-GPU transfer
        pin_cpu_memory=True,
        # image_encoder_cpu_offload=False,
    )

    prompt = "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside."
    image_path = "https://huggingface.co/datasets/YiYiXu/testing-images/resolve/main/wan_i2v_input.JPG"

    video = generator.generate({
        "prompt": prompt,
        "inputs": {
            "image_path": image_path,
        },
        "sampling": {
            "height": 832,
            "width": 480,
            "num_frames": 81,
        },
        "output": {
            "output_path": OUTPUT_PATH,
            "save_video": True,
        },
    })


if __name__ == "__main__":
    main()