import json import os from easydict import EasyDict from loguru import logger def get_default_config(): default_config = { "do_mm_calib": False, "cpu_offload": False, "parallel_attn_type": None, # [None, "ulysses", "ring"] "parallel_vae": False, "max_area": False, "vae_stride": (4, 8, 8), "patch_size": (1, 2, 2), "feature_caching": "NoCaching", # ["NoCaching", "TaylorSeer", "Tea"] "teacache_thresh": 0.26, "use_ret_steps": False, "use_bfloat16": True, "lora_configs": None, # List of dicts with 'path' and 'strength' keys "mm_config": {}, "use_prompt_enhancer": False, } return default_config def set_config(args): config = get_default_config() config.update({k: v for k, v in vars(args).items()}) config = EasyDict(config) with open(config.config_json, "r") as f: config_json = json.load(f) config.update(config_json) if os.path.exists(os.path.join(config.model_path, "config.json")): with open(os.path.join(config.model_path, "config.json"), "r") as f: model_config = json.load(f) config.update(model_config) elif os.path.exists(os.path.join(config.model_path, "original", "config.json")): with open(os.path.join(config.model_path, "original", "config.json"), "r") as f: model_config = json.load(f) config.update(model_config) # load quantized config if config.get("dit_quantized_ckpt", None) is not None: config_path = os.path.join(config.dit_quantized_ckpt, "config.json") if os.path.exists(config_path): with open(config_path, "r") as f: model_config = json.load(f) config.update(model_config) if config.task == "i2v": if config.target_video_length % config.vae_stride[0] != 1: logger.warning(f"`num_frames - 1` has to be divisible by {config.vae_stride[0]}. Rounding to the nearest number.") config.target_video_length = config.target_video_length // config.vae_stride[0] * config.vae_stride[0] + 1 return config