parser.add_argument("--config",type=str,default=os.path.join(sd_path,"configs/stable-diffusion/v1-inference.yaml"),help="path to config which constructs model",)
parser.add_argument("--ckpt",type=str,default=sd_model_file,help="path to checkpoint of stable diffusion model; this checkpoint will be added to the list of checkpoints and loaded by default if you don't have a checkpoint selected in settings",)
parser.add_argument("--ckpt-dir",type=str,default=os.path.join(script_path,'models'),help="path to directory with stable diffusion checkpoints",)
parser.add_argument("--ckpt-dir",type=str,default=model_path,help="path to directory with stable diffusion checkpoints",)
parser.add_argument("--unload-gfpgan",action='store_true',help="does not do anything.")
parser.add_argument("--precision",type=str,help="evaluate at this precision",choices=["full","autocast"],default="autocast")
parser.add_argument("--share",action='store_true',help="use share=True for gradio and make the UI accessible through their site (doesn't work for me but you might have better luck)")
parser.add_argument("--esrgan-models-path",type=str,help="path to directory with ESRGAN models",default=os.path.join(script_path,'ESRGAN'))
parser.add_argument("--swinir-models-path",type=str,help="path to directory with SwinIR models",default=os.path.join(script_path,'SwinIR'))
parser.add_argument("--codeformer-models-path",type=str,help="Path to directory with codeformer model(s)",default=os.path.join(model_path,'Codeformer'))
parser.add_argument("--gfpgan-models-path",type=str,help="Path to directory with GFPGAN model(s)",default=os.path.join(model_path,'GFPGAN'))
parser.add_argument("--esrgan-models-path",type=str,help="Path to directory with ESRGAN models",default=os.path.join(model_path,'ESRGAN'))
parser.add_argument("--realesrgan-models-path",type=str,help="Path to directory with RealESRGAN models",default=os.path.join(model_path,'RealESRGAN'))
parser.add_argument("--swinir-models-path",type=str,help="Path to directory with SwinIR models",default=os.path.join(model_path,'SwinIR'))
parser.add_argument("--ldsr-models-path",type=str,help="Path to directory with LDSR models",default=os.path.join(model_path,'LDSR'))
parser.add_argument("--opt-split-attention",action='store_true',help="force-enables cross-attention layer optimization. By default, it's on for torch.cuda and off for other torch devices.")
parser.add_argument("--opt-split-attention-v1",action='store_true',help="enable older version of split attention optimization that does not consume all the VRAM it can find")