Demo
TextToVideoSDPipeline
Text-to-Video Generation
🤗 Spaces

Usage example 
	
Let’s start by generating a short video with the default length of 16 frames (2s at 8 fps):


	Copied
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import export_to_video

pipe = DiffusionPipeline.from_pretrained("damo-vilab/text-to-video-ms-1.7b", torch_dtype=torch.float16, variant="fp16")
pipe = pipe.to("cuda")

prompt = "Spiderman is su