b1=1.1, b2=1.2)
image = pipeline(prompt, generator=torch.manual_seed(seed)).images[0]
image   Text-to-video generation FreeU can also be used to improve video quality:   Copied from diffusers import DiffusionPipeline
from diffusers.utils import export_to_video
import torch

model_id = "cerspense/zeroscope_v2_576w"
pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16).to("cuda")

prompt = "an astronaut riding a horse on m