# Copyright 2024 NVIDIA CORPORATION & AFFILIATES # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # SPDX-License-Identifier: Apache-2.0 import os import os.path as osp import sys from huggingface_hub import hf_hub_download, snapshot_download def hf_download_or_fpath(path): if osp.exists(path): return path if path.startswith("hf://"): segs = path.replace("hf://", "").split("/") repo_id = "/".join(segs[:2]) filename = "/".join(segs[2:]) return hf_download_data(repo_id, filename, repo_type="model", download_full_repo=True) def hf_download_data( repo_id="Efficient-Large-Model/Sana_1600M_1024px", filename="checkpoints/Sana_1600M_1024px.pth", cache_dir=None, repo_type="model", download_full_repo=False, ): """ Download dummy data from a Hugging Face repository. Args: repo_id (str): The ID of the Hugging Face repository. filename (str): The name of the file to download. cache_dir (str, optional): The directory to cache the downloaded file. Returns: str: The path to the downloaded file. """ try: if download_full_repo: # download full repos to fit dc-ae snapshot_download( repo_id=repo_id, cache_dir=cache_dir, repo_type=repo_type, ) file_path = hf_hub_download( repo_id=repo_id, filename=filename, cache_dir=cache_dir, repo_type=repo_type, ) return file_path except Exception as e: print(f"Error downloading file: {e}") return None