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# 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
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