exp_code/1_benchmark/FramePack_diffusers/infer_i2v.py

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.vae.enable_tiling()
pipe.to("cuda")

image = load_image("penguin.png")
output = pipe(
    image=image,
    prompt="A penguin dancing in the snow",
    height=832,
    width=480,
    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)