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import os
import argparse
import random
import numpy as np
import torch
from diffusers import DDIMScheduler
from pipeline_lsrna_demofusion_sdxl import DemoFusionLSRNASDXLPipeline
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--prompt', type=str, required=True)
parser.add_argument('--negative_prompt', type=str)
parser.add_argument('--height', type=int, default=2048, help='target height')
parser.add_argument('--width', type=int, default=2048, help='target width')
parser.add_argument('--seed', type=int)
parser.add_argument('--lsr_path', type=str, default='lsr/checkpoints/swinir-liif-latent-sdxl.pth')
parser.add_argument('--rna_min_std', type=float, default=0.0)
parser.add_argument('--rna_max_std', type=float, default=1.2)
parser.add_argument('--inversion_depth', type=int, default=30)
parser.add_argument('--save_dir', type=str, default='results')
parser.add_argument('--low_vram', action='store_true')
args = parser.parse_args()
# load pipeline
model_ckpt = 'stabilityai/stable-diffusion-xl-base-1.0'
scheduler = DDIMScheduler.from_pretrained(model_ckpt, subfolder='scheduler')
pipe = DemoFusionLSRNASDXLPipeline.from_pretrained(model_ckpt, scheduler=scheduler, torch_dtype=torch.float16).to('cuda')
pipe.vae.enable_tiling()
# fix seed
if args.seed is not None:
seed = args.seed
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
# generate image (with default setting of DemoFusion)
images = pipe(
args.prompt,
negative_prompt=args.negative_prompt,
height=args.height, width=args.width,
view_batch_size=8,
stride_ratio=0.5, # 1-overlap_ratio
lsr_path=args.lsr_path,
cosine_scale_1=3,
cosine_scale_2=1,
cosine_scale_3=1,
sigma=0.8,
rna_min_std=args.rna_min_std,
rna_max_std=args.rna_max_std,
inversion_depth=args.inversion_depth,
low_vram=args.low_vram
)
os.makedirs(args.save_dir, exist_ok=True)
images[0].save(os.path.join(args.save_dir, 'ref.png'))
images[1].save(os.path.join(args.save_dir, 'trg.png'))
if __name__ == '__main__':
main() |