import torch
from diffusers import HunyuanVideoFramepackPipeline, HunyuanVideoFramepackTransformer3DModel
from diffusers.utils import export_to_video, load_image
from transformers import SiglipImageProcessor, SiglipVisionModel

transformer = HunyuanVideoFramepackTransformer3DModel.from_pretrained(
    "/mnt/workspace/checkpoints/lllyasviel/FramePackI2V_HY", torch_dtype=torch.bfloat16
)
feature_extractor = SiglipImageProcessor.from_pretrained(
    "/mnt/workspace/checkpoints/lllyasviel/flux_redux_bfl", subfolder="feature_extractor"
)
image_encoder = SiglipVisionModel.from_pretrained(
    "/mnt/workspace/checkpoints/lllyasviel/flux_redux_bfl", subfolder="image_encoder", torch_dtype=torch.float16
)
pipe = HunyuanVideoFramepackPipeline.from_pretrained(
    "/mnt/workspace/checkpoints/hunyuanvideo-community/HunyuanVideo",
    transformer=transformer,
    feature_extractor=feature_extractor,
    image_encoder=image_encoder,
    torch_dtype=torch.float16,
)
pipe.to("cuda")

prompt = "CG animation style, a small blue bird takes off from the ground, flapping its wings. The bird's feathers are delicate, with a unique pattern on its chest. The background shows a blue sky with white clouds under bright sunshine. The camera follows the bird upward, capturing its flight and the vastness of the sky from a close-up, low-angle perspective."
first_image = load_image(
    "flf2v_input_first_frame.png"
)
last_image = load_image(
    "flf2v_input_last_frame.png"
)
output = pipe(
    image=first_image,
    last_image=last_image,
    prompt=prompt,
    height=512,
    width=512,
    num_frames=91,
    num_inference_steps=30,
    guidance_scale=9.0,
    generator=torch.Generator().manual_seed(0),
).frames[0]
export_to_video(output, "output.mp4", fps=30)