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Download preprocessing/matanyone/utils/get_default_model.py from fatslappa/Wan2GP_Demo: direct link, hf CLI and curl.
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https://huggingface.co/spaces/fatslappa/Wan2GP_Demo/resolve/main/preprocessing/matanyone/utils/get_default_model.py
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927 Bytes
| """ | |
| A helper function to get a default model for quick testing | |
| """ | |
| from omegaconf import open_dict | |
| from hydra import compose, initialize | |
| import torch | |
| from ..matanyone.model.matanyone import MatAnyone | |
| def get_matanyone_model(ckpt_path, device=None) -> MatAnyone: | |
| initialize(version_base='1.3.2', config_path="../config", job_name="eval_our_config") | |
| cfg = compose(config_name="eval_matanyone_config") | |
| with open_dict(cfg): | |
| cfg['weights'] = ckpt_path | |
| # Load the network weights | |
| if device is not None: | |
| matanyone = MatAnyone(cfg, single_object=True).to(device).eval() | |
| model_weights = torch.load(cfg.weights, map_location=device) | |
| else: # if device is not specified, `.cuda()` by default | |
| matanyone = MatAnyone(cfg, single_object=True).cuda().eval() | |
| model_weights = torch.load(cfg.weights) | |
| matanyone.load_weights(model_weights) | |
| return matanyone | |