import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("DREX-Institute/potat1.pth", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]The original data is https://huggingface.co/camenduru/potat1/tree/main
This model is train by camenduru,@ camenduru This is a .pth convermodel from camenduru potat1 potat1.pth is renamed to text2video_pytorch_model.pth so that can directly use in modelscope
---the .pth model is conver by @ camenduru potat1 ---thanks to camenduru to make T2V have more impossible futures
Approved by the original author @ camenduru https://twitter.com/camenduru https://discord.com/invite/k5BwmmvJJU
- Downloads last month
- -