Qwen-Image-Layered-MRP-MLX/main.py
2024-08-20 22:37:32 +02:00

46 lines
1.7 KiB
Python

import os
import sys
import argparse
import time
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), 'src')))
from flux_1.config.config import Config
from flux_1.flux import Flux1
from flux_1.post_processing.image_util import ImageUtil
def main():
parser = argparse.ArgumentParser(description='Generate an image based on a prompt.')
parser.add_argument('--prompt', type=str, required=True, help='The textual description of the image to generate.')
parser.add_argument('--output', type=str, default="image.png", help='The filename for the output image. Default is "image.png".')
parser.add_argument('--model', type=str, default="schnell", help='The model to use ("schnell" or "dev"). Default is "schnell".')
parser.add_argument('--seed', type=int, default=None, help='Entropy Seed (Default is time-based random-seed)')
parser.add_argument('--height', type=int, default=1024, help='Image height (Default is 1024)')
parser.add_argument('--width', type=int, default=1024, help='Image width (Default is 1024)')
parser.add_argument('--steps', type=int, default=4, help='Inference Steps')
parser.add_argument('--guidance', type=float, default=3.5, help='Guidance Scale (Default is 3.5)')
args = parser.parse_args()
seed = int(time.time()) if args.seed is None else args.seed
flux = Flux1.from_alias(args.model)
image = flux.generate_image(
seed=seed,
prompt=args.prompt,
config=Config(
num_inference_steps=args.steps,
height=args.height,
width=args.width,
guidance=args.guidance,
)
)
ImageUtil.save_image(image, args.output)
if __name__ == '__main__':
main()