from fastvideo import VideoGenerator
from fastvideo.api import (ComponentConfig, EngineConfig, GenerationRequest,
                           GeneratorConfig, InputConfig, OffloadConfig,
                           OutputConfig, PipelineSelection, QuantizationConfig)
import argparse

OUTPUT_PATH = "video_samples_wan2_2_5B_ti2v"


def main(text_encoder_path: str):
    # 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.
    model_name = "Wan-AI/Wan2.2-TI2V-5B-Diffusers"
    generator = VideoGenerator.from_config(
        GeneratorConfig(
            model_path=model_name,
            # FastVideo will automatically handle distributed setup
            engine=EngineConfig(
                num_gpus=1,
                use_fsdp_inference=True,
                offload=OffloadConfig(
                    dit=True,
                    vae=False,
                    text_encoder=False,
                    pin_cpu_memory=
                    True,  # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
                ),
                # AbsMaxFP8 is the quantization method used by ComfyUI;
                # check fastvideo/layers/quantization/* for more quantization methods
                quantization=QuantizationConfig(text_encoder_quant="AbsMaxFP8"),
            ),
            pipeline=PipelineSelection(
                components=ComponentConfig(
                    # for Wan 2.2, this is the path to "umt5_xxl_fp8_e4m3fn_scaled.safetensors"
                    text_encoder_weights=text_encoder_path, ), ),
        ))

    # I2V is triggered just by passing in an image_path argument
    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(
        GenerationRequest(
            prompt=prompt,
            inputs=InputConfig(image_path=image_path),
            output=OutputConfig(output_path=OUTPUT_PATH, save_video=True),
        ))


if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--text_encoder_path",
        type=str,
        required=True,
        help="Path to the quantized text encoder safetensors file.",
    )
    args = parser.parse_args()
    main(args.text_encoder_path)