diff --git a/lucent/optvis/param/gan.py b/lucent/optvis/param/gan.py
index c181172..fb684c0 100644
--- a/lucent/optvis/param/gan.py
+++ b/lucent/optvis/param/gan.py
@@ -27,6 +27,24 @@
             "fc7": "https://onedrive.live.com/download?cid=9CFFF6BCB39F6829&resid=9CFFF6BCB39F6829%2145338&authkey=AJ0R-daUAVYjQIw",
             "fc8": "https://onedrive.live.com/download?cid=9CFFF6BCB39F6829&resid=9CFFF6BCB39F6829%2145340&authkey=AKIfNk7s5MGrRkU"}
 
+def download_url_to_file_fake_request(url, dst):
+    """
+    Download object at the given URL to a local path, using browser-like HTTP GET request.
+    """
+
+    import requests
+    from tqdm import tqdm
+
+    # Imitate Chrome browser
+    headers = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) "
+                                "AppleWebKit/537.36 (KHTML, like Gecko) "
+                                "Chrome/76.0.3809.132 Safari/537.36"}
+
+    with requests.get(url, headers=headers, stream=True) as r:
+        r.raise_for_status()
+        with open(dst, 'wb') as f:
+            for chunk in tqdm(r.iter_content(chunk_size=8192)):
+                f.write(chunk)
 
 def load_statedict_from_online(name="fc6"):
     torchhome = torch.hub._get_torch_home()
@@ -34,8 +52,12 @@ def load_statedict_from_online(name="fc6"):
     os.makedirs(ckpthome, exist_ok=True)
     filepath = join(ckpthome, "upconvGAN_%s.pt"%name)
     if not os.path.exists(filepath):
-        torch.hub.download_url_to_file(model_urls[name], filepath, hash_prefix=None,
-                                   progress=True)
+        print("Downloading %s"%model_urls[name])
+        download_url_to_file_fake_request(model_urls[name], filepath)
+
+        # this is blocked by onedrive
+        #torch.hub.download_url_to_file(model_urls[name], filepath, hash_prefix=None,
+        #                           progress=True)
     SD = torch.load(filepath)
     return SD
 
diff --git a/lucent/optvis/transform.py b/lucent/optvis/transform.py
index ad8aab3..0e6cfb2 100644
--- a/lucent/optvis/transform.py
+++ b/lucent/optvis/transform.py
@@ -22,6 +22,12 @@
 import kornia
 from kornia.geometry.transform import translate
 
+try:
+    from kornia import warp_affine, get_rotation_matrix2d
+except ImportError:
+    from kornia.geometry.transform import warp_affine, get_rotation_matrix2d
+
+
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 KORNIA_VERSION = kornia.__version__
@@ -52,7 +58,7 @@ def random_scale(scales):
     def inner(image_t):
         scale = np.random.choice(scales)
         shp = image_t.shape[2:]
-        scale_shape = [_roundup(scale * d) for d in shp]
+        scale_shape = [int(_roundup(scale * d)) for d in shp]
         pad_x = max(0, _roundup((shp[1] - scale_shape[1]) / 2))
         pad_y = max(0, _roundup((shp[0] - scale_shape[0]) / 2))
         upsample = torch.nn.Upsample(
@@ -76,8 +82,8 @@ def inner(image_t):
         center = torch.ones(b, 2)
         center[..., 0] = (image_t.shape[3] - 1) / 2
         center[..., 1] = (image_t.shape[2] - 1) / 2
-        M = kornia.get_rotation_matrix2d(center, angle, scale).to(device)
-        rotated_image = kornia.warp_affine(image_t.float(), M, dsize=(h, w))
+        M = get_rotation_matrix2d(center, angle, scale).to(device)
+        rotated_image = warp_affine(image_t.float(), M, dsize=(h, w))
         return rotated_image
 
     return inner
diff --git a/setup.py b/setup.py
index 597d0eb..8ec8692 100644
--- a/setup.py
+++ b/setup.py
@@ -33,7 +33,7 @@
     install_requires=[
         "torch>=1.5.0",
         "torchvision",
-        "kornia<=0.4.1",
+        "kornia>=0.4.1",
         "tqdm",
         "numpy",
         "ipython",