```python | |
from diffusers import UnCLIPPipeline | |
import torch | |
import random | |
import numpy as np | |
pipe = UnCLIPPipeline.from_pretrained("fusing/karlo_unclip", torch_dtype=torch.float16) | |
pipe = pipe.to('cuda') | |
prompt = "a high-resolution photograph of a big red frog on a green leaf." | |
image = pipe([prompt]).images[0] | |
image.save("/home/patrick_huggingface_co/images/frog.png") | |
``` | |
![img](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/frog.png) |