| 29 | |
| 30 | |
| 31 | def parse_args(): |
| 32 | parser = argparse.ArgumentParser(description="Simple example of a training script.") |
| 33 | parser.add_argument( |
| 34 | "--pretrained_model_name_or_path", |
| 35 | type=str, |
| 36 | default=None, |
| 37 | required=True, |
| 38 | help="Path to pretrained model or model identifier from huggingface.co/models.", |
| 39 | ) |
| 40 | parser.add_argument( |
| 41 | "--vae_path", |
| 42 | type=str, |
| 43 | default=None, |
| 44 | ) |
| 45 | parser.add_argument( |
| 46 | "--out_path", |
| 47 | type=str, |
| 48 | default=None, |
| 49 | required=True, |
| 50 | ) |
| 51 | parser.add_argument( |
| 52 | "--resolution", |
| 53 | type=int, |
| 54 | default=512, |
| 55 | ) |
| 56 | args = parser.parse_args() |
| 57 | env_local_rank = int(os.environ.get("LOCAL_RANK", -1)) |
| 58 | if env_local_rank != -1 and env_local_rank != args.local_rank: |
| 59 | args.local_rank = env_local_rank |
| 60 | |
| 61 | return args |
| 62 | |
| 63 | args = parse_args() |
| 64 | |