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fusing/
karlo_unclip

diffusers

UnCLIPPipeline

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python

import os
os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":4096:8"

from diffusers import UnCLIPPipeline
import torch
import random
import numpy as np

def set_seed(seed: int):
    random.seed(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    torch.cuda.manual_seed_all(seed)

set_seed(0)

torch.backends.cuda.matmul.allow_tf32 = False
torch.use_deterministic_algorithms(True)

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("frog.png")