from fastvideo import VideoGenerator

OUTPUT_PATH = "video_samples_kandinsky5_t2v"


def main():
    generator = VideoGenerator.from_pretrained(
        "kandinskylab/Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers",
        # "kandinskylab/Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers"
        # "kandinskylab/Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers"
        # "kandinskylab/Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers"
        {
            "engine": {
                "num_gpus": 1,
                "use_fsdp_inference": False,
                "offload": {
                    "dit": False,
                    "vae": False,
                    "text_encoder": True,
                    "pin_cpu_memory": True,
                    # "image_encoder": False,
                },
            },
        },
    )

    prompt = ("A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
              "wide with interest. The playful yet serene atmosphere is complemented by soft "
              "natural light filtering through the petals. Mid-shot, warm and cheerful tones.")
    _ = generator.generate({
        "prompt": prompt,
        "sampling": {"height": 512, "width": 768, "num_frames": 121},
        "output": {"output_path": OUTPUT_PATH, "save_video": True},
    })

    prompt2 = ("A majestic lion strides across the golden savanna, its powerful frame "
               "glistening under the warm afternoon sun. The tall grass ripples gently in "
               "the breeze, enhancing the lion's commanding presence. The tone is vibrant, "
               "embodying the raw energy of the wild. Low angle, steady tracking shot, "
               "cinematic.")
    _ = generator.generate({
        "prompt": prompt2,
        "sampling": {"height": 512, "width": 768, "num_frames": 121},
        "output": {"output_path": OUTPUT_PATH, "save_video": True},
    })


if __name__ == "__main__":
    main()