options/Video_model/Model.py

import torch
from diffusers import StableVideoDiffusionPipeline
from diffusers.utils import load_image, export_to_video

device = "cuda" if torch.cuda.is_available() else "cpu"
print("Using device for video:", device)

pipeline = StableVideoDiffusionPipeline.from_pretrained(
    "stabilityai/stable-video-diffusion-img2vid-xt-1-1", torch_dtype=torch.float16, variant="fp16"
).to(device)
# pipeline.enable_model_cpu_offload()
def Video(image):
    image = load_image(image)
    image = image.resize((1024, 576))

    generator = torch.Generator(device=device).manual_seed(42)
    frames = pipeline(image, decode_chunk_size=8, generator=generator).frames[0]
    # export_to_video(frames, "generated.mp4", fps=7)
    return frames