diff --git a/torchvision/datasets/celeba.py b/torchvision/datasets/celeba.py
index b3c5f9e9a6a..e9dd883b92e 100644
--- a/torchvision/datasets/celeba.py
+++ b/torchvision/datasets/celeba.py
@@ -1,13 +1,12 @@
 import csv
 import os
-import warnings
 from collections import namedtuple
 from typing import Any, Callable, List, Optional, Union, Tuple
 
 import PIL
 import torch
 
-from .utils import check_integrity, verify_str_arg
+from .utils import download_file_from_google_drive, check_integrity, verify_str_arg, extract_archive
 from .vision import VisionDataset
 
 CSV = namedtuple("CSV", ["header", "index", "data"])
@@ -36,17 +35,9 @@ class CelebA(VisionDataset):
             and returns a transformed version. E.g, ``transforms.PILToTensor``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.
-        download (bool, optional): Deprecated.
-
-            .. warning::
-
-                Downloading CelebA is not supported anymore as of 0.13 and this
-                parameter will be removed in 0.15. See
-                `this issue <https://github.com/pytorch/vision/issues/5705>`__
-                for more details.
-                Please download the files from
-                https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html and extract
-                them in ``root/celeba``.
+        download (bool, optional): If true, downloads the dataset from the internet and
+            puts it in root directory. If dataset is already downloaded, it is not
+            downloaded again.
     """
 
     base_folder = "celeba"
@@ -73,7 +64,7 @@ def __init__(
         target_type: Union[List[str], str] = "attr",
         transform: Optional[Callable] = None,
         target_transform: Optional[Callable] = None,
-        download: bool = None,
+        download: bool = False,
     ) -> None:
         super().__init__(root, transform=transform, target_transform=target_transform)
         self.split = split
@@ -85,15 +76,6 @@ def __init__(
         if not self.target_type and self.target_transform is not None:
             raise RuntimeError("target_transform is specified but target_type is empty")
 
-        if download is not None:
-            warnings.warn(
-                "Downloading CelebA is not supported anymore as of 0.13, and the "
-                "download parameter will be removed in 0.15. See "
-                "https://github.com/pytorch/vision/issues/5705 for more details. "
-                "Please download the files from "
-                "https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html and extract them "
-                "in ``root/celeba``."
-            )
         if download:
             self.download()
 
@@ -164,14 +146,10 @@ def download(self) -> None:
             print("Files already downloaded and verified")
             return
 
-        raise ValueError(
-            "Downloading CelebA is not supported anymore as of 0.13, and the "
-            "download parameter will be removed in 0.15. See "
-            "https://github.com/pytorch/vision/issues/5705 for more details. "
-            "Please download the files from "
-            "https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html and extract them "
-            "in ``root/celeba``."
-        )
+        for (file_id, md5, filename) in self.file_list:
+            download_file_from_google_drive(file_id, os.path.join(self.root, self.base_folder), filename, md5)
+
+        extract_archive(os.path.join(self.root, self.base_folder, "img_align_celeba.zip"))
 
     def __getitem__(self, index: int) -> Tuple[Any, Any]:
         X = PIL.Image.open(os.path.join(self.root, self.base_folder, "img_align_celeba", self.filename[index]))