app.py

import imageio  
import imageio_ffmpeg  
import torch  
from diffusers import MochiPipeline  
from diffusers.utils import export_to_video  
  
# Load the pre-trained video generation model  
model = MochiPipeline.from_pretrained(  
    "MISHANM/video_generation",  
 #   variant="bf16",  
    torch_dtype=torch.bfloat16,  
    device_map="balanced"  
)  
  
# Enable memory savings by tiling the VAE  
model.enable_vae_tiling()  
  
# Define the prompt and number of frames  
prompt = "A cow drinking water on the surface of Mars."  
num_frames = 20  
  
frames = model(prompt, num_frames=num_frames).frames[0]  
    
export_to_video(frames, "video.mp4", fps=30)  
  
print("Video generation complete. Saved as 'video.mp4'.")