[bug]: MacOs Installer 2.2.4: Segmentation fault: 11 using the Browser-based UI

[i3oc9i]

Is there an existing issue for this?

• I have searched the existing issues

OS

macOS

GPU

mps

VRAM

128G

What happened?

I have downloaded the InvokeAI-installer-2.2.4-mac.zip and then installed using the defaults values.

I start invoke.sh using browser-based UI option. The server starts as usual.
Then, as soon as I access the server with the browser, I got the following error:

/invoke.sh: line 24: 11785 Segmentation fault: 11 .venv/bin/python .venv/bin/invoke.py --web $*

The command-line works as expected.

NOTE:
When I install manually the same version 2.2.4 using git clone and Conda, both the browser-based UI and the command-line work as expected.

attached are :

Log at 2022-12-11 11-24-01 PM.txt
problem-report.txt

Screenshots

Do you want to generate images using the

1. command-line
2. browser-based UI
3. open the developer console
   Please enter 1, 2, or 3: 2

Starting the InvokeAI browser-based UI..

patchmatch.patch_match: INFO - Compiling and loading c extensions from "/Users/ivano/invokeai/.venv/lib/python3.10/site-packages/patchmatch".
patchmatch.patch_match: WARNING - patchmatch failed to load or compile.
patchmatch.patch_match: WARNING - Refer to https://github.com/invoke-ai/InvokeAI/blob/main/docs/installation/INSTALL_PATCHMATCH.md for installation instructions.
Patchmatch not loaded (nonfatal)

• Initializing, be patient...

Initialization file /Users/ivano/invokeai/invokeai.init found. Loading...
InvokeAI runtime directory is "/Users/ivano/invokeai"
GFPGAN Initialized
CodeFormer Initialized
ESRGAN Initialized
Using device_type mps
Initializing safety checker
Current VRAM usage: 0.00G
Scanning Model: stable-diffusion-1.5
Model Scanned. OK!!
Loading stable-diffusion-1.5 from /Users/ivano/invokeai/models/ldm/stable-diffusion-v1/v1-5-pruned-emaonly.ckpt
| LatentDiffusion: Running in eps-prediction mode
| DiffusionWrapper has 859.52 M params.
| Making attention of type 'vanilla' with 512 in_channels
| Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
| Making attention of type 'vanilla' with 512 in_channels
| Using more accurate float32 precision
| Loading VAE weights from: /Users/ivano/invokeai/models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
Model loaded in 5.49s
Current embedding manager terms: *
Setting Sampler to k_lms

• --web was specified, starting web server...

Initialization file /Users/ivano/invokeai/invokeai.init found. Loading...
Started Invoke AI Web Server!
Default host address now 127.0.0.1 (localhost). Use --host 0.0.0.0 to bind any address.
Point your browser at http://127.0.0.1:9090
System config requested
./invoke.sh: line 24: 10899 Segmentation fault: 11 .venv/bin/python .venv/bin/invoke.py --web $*

Additional context

Mac Studio M1 Ultra
Memory|: 128GB
macOs: Ventura 13.0.1

Python 3.10.8

pip 22.3.1
protobuf 4.21.11
setuptools 65.4.1
wheel 0.37.1

PyTorch 1.12.1

Contact Details

No response

[svumme]

@i3oc9i I have the same problem!!

[i3oc9i]

I have repeated the test with 2.2.4 official tag, and the issue is confirmed.

[i3oc9i]

@Vargol can you see if you get the same issue on your Mac, please ?

[Cybergate9]

same as #1888 ?

[i3oc9i]

IMHO No because if you look in the log patch match is not installed...

[i3oc9i]

My observation is that installing with conda or with virtualenv do not come to the same result. Indeed there are different dependencies versions.

When I install manually using the conda way, all work as expected.

[mc9625]

I've tried to do the same (installer 2.2.4) and had the same issue:
./invoke.sh: line 24: 22103 Segmentation fault: 11 .venv/bin/python .venv/bin/invoke.py --web $*

And I can confirm that a manual installation works flawlessly.

[lstein]

Thank you so much for the bug reports. It does sound like this can be solved by using the conda dependencies for the installer dependencies. Could one of those of you who have the manual install working please do the following:

1. Activate your environment (indicate whether it is a virtual environment or Conda)
2. Run pip list and save it to file 'dependencies-working.txt'
3. Now use the invoke.sh command to enter the "developer's console" (which activates the 2.2.4 venv)
4. Run 'pip list' again and save it to file 'dependencies-broken.txt'
5. Upload both files to this thread. I will then propose some fixes to try until we figure out what is causing the crash.

[i3oc9i]

Now I'm busy at work, I will do this evening if person was able to do before

[Vargol]

git clone from main and pip install -r requirements-mac-mps-cpu.txt worked fine on MacOS 13.0.1 / Python 3.10.8

Here's my working list.
dependencies-working.txt

[i3oc9i]

@VarLog can you also test the offcial 2.2.4 installer ?

[lstein]

git clone from main and pip install -r requirements-mac-mps-cpu.txt worked fine on MacOS 13.0.1 / Python 3.10.8

Here's my working list. dependencies-working.txt
@Vargol
This is surprising to me, because the installer script does exactly the same thing that you did. I know this is extra work for you, but could you try the 2.2.4 installer, let it run to completion (you can skip the models downloading part), and then activate the .venv located in the invokeai runtime directory and do a pip list there as well? If the web GUI is crashing with one set of requirements and not with the other, we'll be close to tracking down the problem.