run offline?

[Flynnprgmmr]

I live out in the middle of nowhere with a lousy internet connection. When I have a good connection it works great, but it always fails without an internet connection. Is there a way to run without internet access?

[thygate]

Where does it fail ? I have not tested in a while, but it should work without an internet connection .. (Once the models have been downloaded of course)

[thygate]

except for maybe the zoedepth models as they are downloaded through torch.hub, all the others are manually downloaded and stored by the extension.

[Flynnprgmmr]

I’m using the Midas v21. The file is downloaded and in the correct folder. Fails shortly after pressing generate button. Using cou, boost, combine one image, save depth map, show depth map , combine horizontal. No electrons were harmed while sending this message.On Apr 25, 2023, at 10:35 PM, Bob Thiry ***@***.***> wrote: except for maybe the zoedepth models as they are downloaded through torch.hub, al the others are manually downloaded and stored by the extension. —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you authored the thread.Message ID: ***@***.***>

[thygate]

Do you get an error message, preferably post the entire stack trace ..

[Flynnprgmmr]

thanks for the quick response, see logs below:

DepthMap v0.3.11
device: cpu
Loading model weights from ./models/midas/midas_v21-f6b98070.pt
Loading weights: ./models/midas/midas_v21-f6b98070.pt
Error completing request
Arguments: (0, <PIL.Image.Image image mode=RGB size=1169x880 at 0x273018D8250>, None, '', '', 1, 5, 512, 512, False, True, False, False, 0, 1, True, 1, True, True, False, False, ['left-right'], 2.5, 'polylines_sharp', 0, False, False, False, False, False, 'u2net', False, 0, 2, False, None, True, False, True, False) {}
Traceback (most recent call last):
File "F:\sd1\lib\urllib\request.py", line 1348, in do_open
h.request(req.get_method(), req.selector, req.data, headers,
File "F:\sd1\lib\http\client.py", line 1282, in request
self._send_request(method, url, body, headers, encode_chunked)
File "F:\sd1\lib\http\client.py", line 1328, in _send_request
self.endheaders(body, encode_chunked=encode_chunked)
File "F:\sd1\lib\http\client.py", line 1277, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "F:\sd1\lib\http\client.py", line 1037, in _send_output
self.send(msg)
File "F:\sd1\lib\http\client.py", line 975, in send
self.connect()
File "F:\sd1\lib\http\client.py", line 1447, in connect
super().connect()
File "F:\sd1\lib\http\client.py", line 941, in connect
self.sock = self._create_connection(
File "F:\sd1\lib\socket.py", line 824, in create_connection
for res in getaddrinfo(host, port, 0, SOCK_STREAM):
File "F:\sd1\lib\socket.py", line 955, in getaddrinfo
for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
socket.gaierror: [Errno 11001] getaddrinfo failed

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "F:\sd1\stable-diffusion-webui\modules\call_queue.py", line 56, in f
res = list(func(*args, **kwargs))
File "F:\sd1\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "F:\sd1\stable-diffusion-webui\extensions\stable-diffusion-webui-depthmap-script\scripts\depthmap.py", line 1171, in run_generate
outputs, mesh_fi, meshsimple_fi = run_depthmap(
File "F:\sd1\stable-diffusion-webui\extensions\stable-diffusion-webui-depthmap-script\scripts\depthmap.py", line 422, in run_depthmap
model = MidasNet(model_path, non_negative=True)
File "F:\sd1\stable-diffusion-webui\extensions/stable-diffusion-webui-depthmap-script/scripts\dmidas\midas_net.py", line 30, in init
self.pretrained, self.scratch = _make_encoder(backbone="resnext101_wsl", features=features, use_pretrained=use_pretrained)
File "F:\sd1\stable-diffusion-webui\extensions/stable-diffusion-webui-depthmap-script/scripts\dmidas\blocks.py", line 124, in _make_encoder
pretrained = _make_pretrained_resnext101_wsl(use_pretrained)
File "F:\sd1\stable-diffusion-webui\extensions/stable-diffusion-webui-depthmap-script/scripts\dmidas\blocks.py", line 206, in _make_pretrained_resnext101_wsl
resnet = torch.hub.load("facebookresearch/WSL-Images", "resnext101_32x8d_wsl")
File "F:\sd1\stable-diffusion-webui\venv\lib\site-packages\torch\hub.py", line 539, in load
repo_or_dir = _get_cache_or_reload(repo_or_dir, force_reload, trust_repo, "load",
File "F:\sd1\stable-diffusion-webui\venv\lib\site-packages\torch\hub.py", line 180, in _get_cache_or_reload
repo_owner, repo_name, ref = _parse_repo_info(github)
File "F:\sd1\stable-diffusion-webui\venv\lib\site-packages\torch\hub.py", line 134, in _parse_repo_info
with urlopen(f"https://github.com/{repo_owner}/{repo_name}/tree/main/"):
File "F:\sd1\lib\urllib\request.py", line 216, in urlopen
return opener.open(url, data, timeout)
File "F:\sd1\lib\urllib\request.py", line 519, in open
response = self._open(req, data)
File "F:\sd1\lib\urllib\request.py", line 536, in _open
result = self._call_chain(self.handle_open, protocol, protocol +
File "F:\sd1\lib\urllib\request.py", line 496, in _call_chain
result = func(*args)
File "F:\sd1\lib\urllib\request.py", line 1391, in https_open
return self.do_open(http.client.HTTPSConnection, req,
File "F:\sd1\lib\urllib\request.py", line 1351, in do_open
raise URLError(err)
urllib.error.URLError: <urlopen error [Errno 11001] getaddrinfo failed>

Traceback (most recent call last):
File "F:\sd1\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 394, in run_predict
output = await app.get_blocks().process_api(
File "F:\sd1\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1078, in process_api
data = self.postprocess_data(fn_index, result["prediction"], state)
File "F:\sd1\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1012, in postprocess_data
prediction_value = block.postprocess(prediction_value)
File "F:\sd1\stable-diffusion-webui\venv\lib\site-packages\gradio\components.py", line 4307, in postprocess
"name": self.make_temp_copy_if_needed(y),
File "F:\sd1\stable-diffusion-webui\venv\lib\site-packages\gradio\processing_utils.py", line 362, in make_temp_copy_if_needed
temp_dir = self.hash_file(file_path)
File "F:\sd1\stable-diffusion-webui\venv\lib\site-packages\gradio\processing_utils.py", line 334, in hash_file
with open(file_path, "rb") as f:
OSError: [Errno 22] Invalid argument: "

URLError: <urlopen error [Errno 11001] getaddrinfo failed>

Time taken: 1.03s

Torch active/reserved: 4090/4198 MiB, Sys VRAM: 5782/8192 MiB (70.58%)

"

[thygate]

resnet = torch.hub.load("facebookresearch/WSL-Images", "resnext101_32x8d_wsl")

It seems the midas v21 and v21_small models do try get some additional files, try the other midas models, or leres which is better imho.
Best models are the zoedepth ones.