BinaryLight1011/Imageflow

from diffusers import StableDiffusionXLPipeline
import torch

pipe = StableDiffusionXLPipeline.from_pretrained(
    'jeffvedd/Imageflow',
    torch_dtype=torch.float16,
    use_safetensors=True,
).to('cuda')

image = pipe(
    prompt='A futuristic city at night, neon lights, ultra detailed',
    negative_prompt='blurry, low quality',
    num_inference_steps=30,
    guidance_scale=7.5,
).images[0]
image.save('output.png')