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ad44ad4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | import torch
from diffusers import FluxPipeline
import argparse
def image_generation(prompt: str, save_path: str):
pipe = FluxPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16
)
pipe.enable_model_cpu_offload()
out = pipe(
prompt=prompt,
guidance_scale=3.5,
height=480,
width=720,
num_inference_steps=50,
).images[0]
out.save(save_path)
print(f"Generated image saved to {save_path}")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Generate an image using FLUX.")
parser.add_argument(
"--prompt", type=str, required=True, help="The prompt for image generation."
)
parser.add_argument(
"--save_path",
type=str,
required=True,
help="The path to save the generated image.",
)
args = parser.parse_args()
pipe = FluxPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16
)
pipe.enable_model_cpu_offload()
image_generation(args.prompt, args.save_path)
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