from diffusers import AuraFlowPipeline
import torch

pipeline = AuraFlowPipeline.from_pretrained(
    "fal/AuraFlow",
    torch_dtype=torch.float16
).to("cuda")

prompt = """Concept art of a skeleton cowboy, dressed in shabby clothes,\
is illuminated by a flash from a gun show against a solid black background. \
He's holding a gun and has a book open on his thigh. The image is minimalist, \
with a strong contrast between light and darkness.  The picture captures a moment of solitude and mystery."""

num_inference_steps=25
guidance_scale=3.5

for seed in range(1580,1600):
    image = pipeline(
        prompt=prompt,
        height=1024,
        width=1024,
        num_inference_steps=num_inference_steps, 
        generator=torch.Generator().manual_seed(seed),
        guidance_scale=guidance_scale,
    ).images[0]

    image.save(f"cat_reject_maybe_{seed}.jpg")