File size: 1,516 Bytes
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 44 45 46 47 48 49 50 51 |
import torch
from diffusers import FluxControlPipeline, FluxTransformer2DModel
from diffusers.utils import load_image
from image_gen_aux import DepthPreprocessor
import argparse
def edit_image(prompt: str, ori_image_path: str, save_path: str):
pipe = FluxControlPipeline.from_pretrained(
"black-forest-labs/FLUX.1-Depth-dev", torch_dtype=torch.bfloat16
).to("cuda")
control_image = load_image(ori_image_path)
processor = DepthPreprocessor.from_pretrained("LiheYoung/depth-anything-large-hf")
control_image = processor(control_image)[0].convert("RGB")
image = pipe(
prompt=prompt,
control_image=control_image,
height=480,
width=854,
num_inference_steps=30,
guidance_scale=10.0,
generator=torch.Generator().manual_seed(42),
).images[0]
image.save(save_path)
print(f"Edited image saved to {save_path}")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Edit an image using FLUX.")
parser.add_argument(
"--prompt", type=str, required=True, help="The prompt for image editing."
)
parser.add_argument(
"--ori_image_path",
type=str,
required=True,
help="The path to the original image.",
)
parser.add_argument(
"--save_path",
type=str,
required=True,
help="The path to save the edited image.",
)
args = parser.parse_args()
edit_image(args.prompt, args.ori_image_path, args.save_path)
|