How to install and run Stable Diffusion on Apple Silicon M1/M2 Macs

Updated May 15, 2024By AndrewCategorized as Tutorial Tagged Beginner 179 Comments

Stable Diffusion is a text-to-image AI that can be run on personal computers like Mac M1 or M2. In this article, you will find a step-by-step guide for installing and running Stable Diffusion on Mac.

Here are the install options I will go through in this article.

Draw Things – Easiest to install with a good set of features.
Diffusers – Easiest to install but with not many features.
DiffusionBee – Easy to install but with a smaller set of functions.
AUTOMATIC1111 – Best features but a bit harder to install.

Alternatively, run Stable Diffusion on Google Colab using AUTOMATIC1111 Stable Diffusion WebUI. Check the Quick Start Guide for details.

Read this install guide to install Stable Diffusion on a Windows PC.

Think Diffusion offers fully managed AUTOMATIC1111 online without setup. They offer our readers an extra 20% credit. (Affiliated link — a earn a small commission.)

Table of Contents

Hardware requirements
Draw Things App
- Install Instructions
- Pros and Cons of Draw Things App
Diffusers App
- Install Instructions
- Pros and Cons of Diffusers App
DiffusionBee
AUTOMATIC1111
Pros and Cons of AUTOMATIC1111
Frequently Asked Questions
Next Steps

Hardware requirements

For reasonable speed, you will need a Mac with Apple Silicon (M1 or M2).

Recommended CPUs are: M1, M1 pro, M1 max, M2, M2 pro and M2 max. In addition to the efficient cores, the performance cores are important for Stable Diffusion’s performance.

The computer’s form factor doesn’t really matter. It can be a Macbook Air, Macbook Pro, Mac Mini, iMac, Mac Studio, or Mac Pro.

Ideally, your machine will have 16 GB of memory or more.

Stable Diffusion, like many AI models, runs slower on Mac. A similarly priced Windows PC with a dedicated GPU will deliver an image faster.

Draw Things App

Install Instructions

Draw Things is an Apple App that can be installed on iPhones, iPad, and Macs. Installing it is no different from installing any other App.

App Product Page

It supports a pretty extensive list of models out of the box and a reasonable set of customizations you can make. It also supports inpainting.

Pros and Cons of Draw Things App

Pros

Easy to install
A good set of features

Cons

Features are not as extensive as AUTOMATIC1111

Diffusers App

Install Instructions

Diffusers is a Mac app made by Hugging Face, the place where many Stable Diffusion models are hosted. You can install the app using the link below.

Link to Diffusers app page

Customizations and available models are pretty limited.

Pros and Cons of Diffusers App

Pros:

Easy to install.

Cons:

Very limited models and features.

DiffusionBee

In this section, you will learn how to install and run DiffusionBee on Mac step-by-step.

Install DiffusionBee on Mac

DiffusionBee is one of the easiest ways to run Stable Diffusion on Mac. Its installation process is no different from any other app.

Step 1: Go to DiffusionBee’s download page and download the installer for MacOS – Apple Silicon. A dmg file should be downloaded.

Step 2: Double-click to run the downloaded dmg file in Finder. The following windows will show up.

Step 3: Drag the DiffusionBee icon on the left to the Applications folder on the right. Installation is now complete!

Run DiffusionBee on Mac

You can use the spotlight search bar to start StableBee. Press command + spacebar to bring up spotlight search. Type “DiffusionBee” and press return to start DiffusionBee.

It will download some models when it starts for the very first time.

After it is done, you can start using Stable Diffusion! Let’s try putting the prompt “a cat” in the prompt box and hit Generate.

Works pretty well! You can click the option button to customize your images such as image size and CFG scale.

Go to the Next Step section to see what to do next.

Pros and Cons of DiffusionBee

Pros

Installation is relatively easy

Cons

Features are a bit lacking.

AUTOMATIC1111

This section shows you how to install and run AUTOMATIC1111 on Mac step-by-step.

DiffusionBee is easy to install, but the functionality is pretty limited. If you are (or aspire to be) an advanced user, you will want to use an advanced GUI like AUTOMATIC1111. You will need this GUI if you want to follow my tutorials.

System requirement

You should have an Apple Silicon M1 or M2, with at least 8GB RAM.

Your MacOS version should be at least 12.3. Click the Apple icon on the top left and click About this Mac. Update your MacOS before if necessary.

Install AUTOMATIC1111 on Mac

Step 1: Install Homebrew

Install Homebrew, a package manager for Mac, if you haven’t already. Open the Terminal app, type the following command, and press return.

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

If this is the first time you install brew, it should show the NEXT STEPS to add brew to the path. Something like this: (Yours may be different)

==> Next steps:
- Add Homebrew to your PATH in /Users/$USER/.zprofile:
    echo 'eval $(/opt/homebrew/bin/brew shellenv)' >> /Users/$USER/.zprofile
    eval $(/opt/homebrew/bin/brew shellenv)

These are TWO additional commands you need to run.

echo 'eval $(/opt/homebrew/bin/brew shellenv)' >> /Users/$USER/.zprofile

eval $(/opt/homebrew/bin/brew shellenv)

After running them you should be able to use brew in the terminal. Test by typing “brew” and press enter. It should show you an usage example.

Step 2: Install the required packages

Install a few required packages. Open a new terminal and run the following command

brew install [email protected] git wget

Step 3: Clone the webui repository

Clone the AUTOMATIC1111 repository by running the following command in the terminal

git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui

A new folder stable-diffusion-webui should be created under your home directory.

Run AUTOMATIC1111 on Mac

Follow the steps in this section to start AUTOMATIC1111 GUI for Stable Diffusion.

In the terminal, run the following command.

cd ~/stable-diffusion-webui;./webui.sh

It will take a while to run it for the first time because it will install a bunch of stuff and download a checkpoint model.

When it is done, you should see a message “Running on local URL…”. This is the URL to access AUTOMATIC1111.

The WebUI page should be opened automatically. If not, open a web browser and click the following URL to start Stable Diffusion.

http://127.0.0.1:7860/

You should see the AUTOMATIC1111 GUI. Put in a prompt “a cat” and press Generate to test using the GUI.

Close the terminal when you are done. Follow the steps in this section the next time when you want to run Stable Diffusion.

Updating AUTOMATIC1111 Web-UI

Your AUTOMATIC1111 won’t be automatically updated. You will miss new features if you don’t upgrade it periodically. However, there’s always a risk of breaking things every time you update.

To update AUTOMATIC1111, first open the Terminal App.

Go into the AUTOMATIC1111 Web-UI’s folder.

cd ~/stable-diffusion-webui

Lastly, update the software by pulling the latest codes.

git pull

Run AUTOMATIC1111 to see if it’s working properly. If you experience issues, delete the venv folder inside the stable-diffusion-webui folder and restart again.

Pros and Cons of AUTOMATIC1111

Pros

Best features among all apps

Cons

Difficult to install if you are not tech-savvy.

Frequently Asked Questions

Does AUTOMATIC1111 on Mac support SDXL?

Yes! You will need to update your AUTOMATIC1111 if you have not done it recently. Just do a git pull. See the SDXL tutorial for downloading the model.

I got the error “urllib.error.URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:997)>” when generating images

Press Command+Space to bring up Spotlight search.

Search for

Install Certificates.command

Open and run it. If will tell you which Python version you ran. Make sure you have run Python 3.10.

I got “RuntimeError: Cannot add middleware after an application has started”

If you get the following error:

File “/Users/XXXXX/stable-diffusion-webui/venv/lib/python3.10/site-packages/starlette/applications.py”, line 139, in add_middleware
raise RuntimeError(“Cannot add middleware after an application has started”)
RuntimeError: Cannot add middleware after an application has started

This is caused by an outdated fastapi package. Run the following command in the webui folder.

./venv/bin/python -m pip install --upgrade fastapi==0.90.1

I got RuntimeError: “LayerNormKernelImpl” not implemented for ‘Half’

Start the webUI with the following command.

./webui.sh --precision full --no-half

When running v2-1_768-ema-pruned.ckpt model, the I got the error: “modules.devices.NansException: A tensor with all NaNs was produced in Unet. This could be either because there’s not enough precision to represent the picture, or because your video card does not support half type. Try setting the “Upcast cross attention layer to float32″ option in Settings > Stable Diffusion or using the –no-half commandline argument to fix this. Use –disable-nan-check commandline argument to disable this check.”

Start webUI with the following command to remove this error.

./webui.sh --no-half

However, as of July 2023, the v2.1 768 model does not produce sensible images.

I encountered the error “zsh: command not found: brew”.

You need to add brew to path. Follow the NEXT STEPS displayed after installing brew. Related discussion.

Next Steps

Now you can run Stable Diffusion; below are some suggestions on what to learn next.

Check out how to build good prompts.
Check out this article to learn what the parameters in GUI mean.
Download some new models and have fun!

By Andrew

Andrew is an experienced engineer with a specialization in Machine Learning and Artificial Intelligence. He is passionate about programming, art, photography, and education. He has a Ph.D. in engineering.

View all of Andrew's posts.

179 comments

Donald says:

October 15, 2024 at 9:05 pm

Awesome guide! If we need to free up space, is there a rough guide to uninstall automatic1111? Or can we infer this from the installation guide?

Reply
1. Donald says:
  
  October 15, 2024 at 9:08 pm
  
  Sorry, saw that you had already responded to this question (delete stable-diffusion-webui folder)
  
  Reply
  1. Andrew says:
    
    October 16, 2024 at 7:46 am
    
    👍
    
    Reply
Jump Assemble says:

June 13, 2024 at 1:53 am

I was able to successfully install and run Stable Diffusion on my M1 Macbook Air following your instructions! The image quality is amazing and the performance is surprisingly good. Thank you for this brilliant guide, it saved me a lot of headaches

Reply
1. Andrew says:
  
  June 13, 2024 at 8:24 am
  
  You are welcome!
  
  Reply
Daria says:

June 11, 2024 at 6:08 am

Hi Andrew,
I’ve installed SD on my M2, and text2img prompt runs fine. But when I’m trying to run an img2img prompt, inpainting, I’m getting this error.

NotImplementedError: convolution_overrideable not implemented. You are likely triggering this with tensor backend other than CPU/CUDA/MKLDNN, if this is intended, please use TORCH_LIBRARY_IMPL to override this function

Could you please help with this?

Reply
Klemen Gabrijelčič says:

June 3, 2024 at 1:43 am

Hi,
I have a problem. When adding additional downloaded models to folder, A1111 stops working. It tries to evaluate the new model, processing it for a few minutes, but than nothing works. If I delete all, but the default one (1.5), UI works again normally.

Reply
1. Andrew says:
  
  June 3, 2024 at 7:32 am
  
  seems the new models you download were corrupted.
  
  Reply
Giorgi says:

June 1, 2024 at 9:21 pm

I can’t generate or select a checkpoint on my macbook M2. It says “Stable diffusion model failed to load
Loading weights [b87b3dfc2f] from /Users/theaccofg/Desktop/stable-diffusion-webui/models/Stable-diffusion/realisticLazyMixNSFW_v10.safetensors
Creating model from config: /Users/theaccofg/Desktop/stable-diffusion-webui/configs/v1-inference.yaml
loading stable diffusion model: TypeError
Traceback (most recent call last):
File “/Users/theaccofg/Desktop/stable-diffusion-webui/modules/processing.py”, line 832, in process_images
sd_models.reload_model_weights()
File “/Users/theaccofg/Desktop/stable-diffusion-webui/modules/sd_models.py”, line 860, in reload_model_weights
sd_model = reuse_model_from_already_loaded(sd_model, checkpoint_info, timer)
File “/Users/theaccofg/Desktop/stable-diffusion-webui/modules/sd_models.py”, line 793, in reuse_model_from_already_loaded
send_model_to_cpu(sd_model)
File “/Users/theaccofg/Desktop/stable-diffusion-webui/modules/sd_models.py”, line 662, in send_model_to_cpu
if m.lowvram:
AttributeError: ‘NoneType’ object has no attribute ‘lowvram'”

Reply
1. Andrew says:
  
  June 3, 2024 at 7:30 am
  
  I’ve seen this error but it didn’t affect image generation. You can try redownloading the model, or reinstalling the whole thing again.
  
  Reply
Ralph says:

April 7, 2024 at 8:30 pm

hi! i’m stucked 🙁
when i try generate anything it gives me this:
SafetensorError: Error while deserializing header: MetadataIncompleteBuffer

no idea what to do!

Reply
1. Andrew says:
  
  April 8, 2024 at 9:02 am
  
  seems your checkpoint file is corrupted. Check if your setup works for other checkpoint files. Redownload the checkpoint.
  
  Reply
Ulysses Heart says:

March 19, 2024 at 10:51 am

Hello – I’ve been (intensely) using SD daily for over a year on an M2 Mac (96gb RAM), and had no major issues I haven’t been able to solve, until last night. What was odd is that it happened kind of out of the blue, with no changes to any setting. I’m using Auto1111 (updated to v1.8 two weeks ago), Python 3.11.4, and everything has been without a hitch until, when relaunching Terminal (using: cd ~/stable-diffusion-webui;./webui.sh –no-half) SD would not launch and I got this:
TypeError: Cannot convert a MPS Tensor to float64 dtype as the MPS framework doesn’t support float64. Please use float32 instead. Stable diffusion model failed to load
I have tried many fixes, but none have worked. I also went into Settings are toggled back and forth between checking float32 again, but neither setting worked. Do you have any guidance on how to fix this? Thanks very much for any insight you can provide.

Reply
1. Ulysses Heart says:
  
  March 19, 2024 at 10:55 am
  
  By the way, I followed your guidance to the previous post, and nothing you suggested worked. I am already using Python 3.11.
  
  Reply
ken says:

February 21, 2024 at 12:22 pm

Hello and thank you every much for this tutorial.

I keep getting the following error when launching with these parameters on my M1 Pro 32GB MAC running 13.2.1:

./webui.sh –skip-torch-cuda-test –upcast-sampling –no-half-vae –use-cpu interrogate

TypeError: Cannot convert a MPS Tensor to float64 dtype as the MPS framework doesn’t support float64. Please use float32 instead.
Stable diffusion model failed to load

What is odd is that the first time I followed these directions it worked and I was able to load realcartoon3d model and generate a bunch of images. I came back a few days later and I started getting an error when doing img2img:

TypeError: Cannot convert a MPS Tensor to float64 dtype as the MPS framework doesn’t support float64. Please use float32 instead.

So I wiped everything and started over and even redownloaded the model from scratch. Do you have any suggestions to fix this or what I might be doing wrong?

Reply
1. Andrew says:
  
  February 22, 2024 at 7:15 am
  
  Not so sure as its all working for me on M1. You can check:/try
  – Are you using python 3.10.x?
  – Try running without arguments ./webui.sh
  – Clone webui all over again.
  
  Reply
Furi says:

January 24, 2024 at 9:20 am

im running the webui on my macbook pro with m1 pro. ive been having some issues with installing xformers. this is the message i get:
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/attention/autograd/matmul.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/attention/attention.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/attention/cpu/matmul.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/attention/cpu/sddmm.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/attention/cpu/sparse_softmax.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/attention/cpu/spmm.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/attention/matmul.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/attention/sparse_softmax.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/attention/spmm.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/boxing_unboxing.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/attention/sddmm.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/swiglu/swiglu_op.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file build/temp.macosx-10.9-x86_64-cpython-39/xformers/csrc/swiglu/swiglu_packedw.o, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file /Users/a216/opt/anaconda3/lib/python3.9/site-packages/torch/lib/libc10.dylib, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file /Users/a216/opt/anaconda3/lib/python3.9/site-packages/torch/lib/libtorch_cpu.dylib, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file /Users/a216/opt/anaconda3/lib/python3.9/site-packages/torch/lib/libtorch_python.dylib, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file /Users/a216/opt/anaconda3/lib/python3.9/site-packages/torch/lib/libtorch.dylib, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: warning: ignoring file /Users/a216/opt/anaconda3/lib/libc++.dylib, building for macOS-arm64 but attempting to link with file built for macOS-x86_64
ld: unsupported tapi file type ‘!tapi-tbd’ in YAML file ‘/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/usr/lib/libSystem.tbd’ for architecture arm64
clang++: error: linker command failed with exit code 1 (use -v to see invocation)
error: command ‘/opt/homebrew/Cellar/llvm/17.0.6_1/bin/clang++’ failed with exit code 1
[end of output]

ive tried getting chatGPT to help me however at this stage it says the problem is too specific for it. any idea how to solve it?

Reply
1. Andrew says:
  
  January 24, 2024 at 10:02 am
  
  first, you should use python 3.10
  
  And xformers is not supported on mac.
  
  Reply
Mx says:

January 21, 2024 at 2:55 pm

Any ideas what can be wrong here. I use M2 pro with 16gb, trying to render image in img2img using controlnet and sdxl. It renders for an HOUR and after it crashes with this: “RuntimeError: MPS backend out of memory (MPS allocated: 16.44 GB, other allocations: 1.67 GB, max allowed: 18.13 GB). Tried to allocate 69.58 MB on private pool. Use PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.0 to disable upper limit for memory allocations (may cause system failure).”

Reply
1. Andrew says:
  
  January 22, 2024 at 8:45 am
  
  you can try the --medvram-sdxl option. But in general, support for Mac is a bit lagging.
  
  Reply
Ashley Mason says:

January 17, 2024 at 12:57 am

Any chance you have a version of the webui.sh script using pyenv virtualenv instead of venv?

Reply
1. Andrew says:
  
  January 17, 2024 at 12:25 pm
  
  sorry i don’t
  
  Reply
J35 says:

January 14, 2024 at 2:28 am

Excellent article Andrew! Maybe you can write one on how to store the working files (models, extensions, etc) on an external disk. I wanted to save space on my Macbook’s internal hard drive, so I wanted to move as much of SD as I could to my external disk. But as a non-coder, I had quite a hard time finding info on how to make this move.

I eventually found this article which helped (indirectly): https://www.howtogeek.com/297721/how-to-create-and-use-symbolic-links-aka-symlinks-on-a-mac/

Would be great if you could create a more problem-specific article here to help your community. Great job and keep up the good work! =)

Reply
Yuchcn Xing says:

January 2, 2024 at 11:16 am

RuntimeError: Placeholder storage has not been allocated on MPS device!
It gives me this when I tried to select the checkpoint on the top left corner in the web ui

Reply
1. Andrew says:
  
  January 2, 2024 at 6:25 pm
  
  Try changing the webui arguments
  https://github.com/Mikubill/sd-webui-controlnet/issues/1128
  
  This is working on my M1
  --skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate
  
  Reply
  1. Yuchcn Xing says:
    
    January 3, 2024 at 3:25 am
    
    Thanks a lot!
    Interesting, I didn’t go to that page when I did the search hmmm
    
    Reply
Anthony says:

December 30, 2023 at 2:11 am

So I ran the install process for A1111 because I jacked up mine, and I got a new error I thought I should make you aware about.

“note: This error originates from a subprocess, and is likely not a problem with pip.
error: legacy-install-failure

× Encountered error while trying to install package.
╰─> lmdb

note: This is an issue with the package mentioned above, not pip.
hint: See above for output from the failure.

[notice] A new release of pip is available: 23.0.1 -> 23.3.2
[notice] To update, run: pip install –upgrade pip”

This seems to have been a change in the last week or so, but this command takes care of it

cd ~/stable-diffusion-webui;./webui.sh –no-half –use-pep517

it will fail to run but will finish the install . Next if you run the regular command

cd ~/stable-diffusion-webui;./webui.sh –no-half

it runs without issue. I don’t know how long this issue will last but I thought I would mention it just in case someone runs into the issue from now until the issue is fixed.

Reply
Bill says:

December 12, 2023 at 2:42 pm

Andrew, thanks so much for the detailed instructions on how to install AUTOMATIC1111 on my M1 Mac. As far as I can tell, the installation process went flawlessly. Yet, the results are totally unexpected and unrelated to the txt2img prompt. Following your example “a cat”, produces a nightmarish image. In fact, any text input does the same. Any clues as to what could be causing this? Thanks.

Reply
1. Andrew says:
  
  December 13, 2023 at 7:01 am
  
  Try deleting the checkpoint file and reinstall. Make sure the file size is in GBs.
  
  Reply
Matt says:

December 8, 2023 at 5:55 am

Hi, I’m trying to install AUTOMATIC1111 on my Mac M1.
It stops at step 2, when I run: brew install cmake protobuf rust [email protected] git wget
It gives me: zsh: command not found: brew
Could someone help me?
Thanks

Reply
1. Tom says:
  
  May 15, 2024 at 12:29 am
  
  Same here
  
  Reply
  1. Andrew says:
    
    May 15, 2024 at 7:35 am
    
    There are two additional steps after running brew. I added to the instructions above.
    
    Reply
Mike says:

November 23, 2023 at 8:55 pm

Are any/all of these installation methods considered “local” installation, or are they all 3rd party with strict licensing BS? I read that running SD locally comes with a wide-open license agreement that grants users the rights to “use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the art created by Stable Diffusion.” So… second question is: where do I find the licensing agreement for local installation/use of SD?

Reply
1. Andrew says:
  
  November 25, 2023 at 7:06 am
  
  Hi, these are GUI that uses SD so it may have additional licence that use the GUI software. This is the original SD license https://github.com/CompVis/stable-diffusion/blob/main/LICENSE
  
  Reply
Wilsonics says:

November 18, 2023 at 9:51 am

A con to add for the Automatic 1111 is that it runs MUCH slower than the other app-based solutions. This is due to automatic 1111 using python environment rather than the native Swift. An image generation can go from 45 sec to 15 sec. This is something to consider if you don’t need all the bleeding edge bells and whistles of A1111. Draw Things can cover most use cases.

Reply
Jorge says:

November 16, 2023 at 10:46 pm

Got this error after following all your instructions.
Macbook Air M1, 8GB, OS 13.4
Any ideas?

Warning: caught exception ‘Torch not compiled with CUDA enabled’, memory monitor disabled
Loading weights [cc6cb27103] from /Users/jorgemadrigal/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt
Running on local URL: http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 129.4s (prepare environment: 74.0s, import torch: 10.5s, import gradio: 6.3s, setup paths: 10.2s, initialize shared: 0.1s, other imports: 26.8s, setup codeformer: 0.1s, load scripts: 0.4s, create ui: 0.2s, gradio launch: 0.7s).
Creating model from config: /Users/jorgemadrigal/stable-diffusion-webui/configs/v1-inference.yaml
-[IOGPUMetalCommandBuffer validate]:215: failed assertion `commit an already committed command buffer’
./webui.sh: line 255: 2634 Abort trap: 6 “${python_cmd}” -u “${LAUNCH_SCRIPT}” “$@”
jorgemadrigal@jorges-air stable-diffusion-webui %

Reply
1. Andrew says:
  
  November 19, 2023 at 8:54 am
  
  Seems to be related: https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/13159
  
  Reply
Robin says:

November 14, 2023 at 6:52 am

I have successfully installed by following your steps on my M2 Mac Mini but if I try to generate “a cat” I got this error:

“OSError: Can’t load tokenizer for ‘openai/clip-vit-large-patch14’. If you were trying to load it from ‘https://huggingface.co/models’, make sure you don’t have a local directory with the same name. Otherwise, make sure ‘openai/clip-vit-large-patch14’ is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.”

No Idea what this mean and Google did not help me really. I only see, that I’m not the only one with that problem. And I also have no Idea where is that path or where I got the file who is missed to put it on the right direction.

Any Idea?

Reply
1. Andrew says:
  
  November 14, 2023 at 7:05 pm
  
  This error message is strange. You shouldn’t be loading anything from huggingface. Are you on the tx2img page in A1111?
  
  Reply
  1. Robin says:
    
    November 14, 2023 at 7:45 pm
    
    Yes. And after reading another Tutorial wirh the info around downloading a model resource from higgingface, I also place a model File to the installation. Problem is still the same.
    
    Reply
    1. Andrew says:
      
      November 15, 2023 at 4:32 am
      
      I recommend starting all over following this article.
      
      Reply
Nicki says:

October 26, 2023 at 10:47 am

Hello, Andrew!
I hope you can help me fix this problem!

When I click generate the program gives this error
TypeError: Trying to convert BFloat16 to the MPS backend but it does not have support for that dtype.

Reply
1. Nicki says:
  
  October 26, 2023 at 10:53 am
  
  I use mac M1
  
  Reply
2. Andrew says:
  
  October 27, 2023 at 6:53 am
  
  What’s your MacOS version? It needs to be at least 12.3
  
  Reply
  1. Nicki says:
    
    October 28, 2023 at 2:18 am
    
    13.4
    
    Reply
ADVO says:

September 18, 2023 at 2:58 am

Hey Andrew,

So I’ve followed your tutorials extensively and have been an extremely avid user of Midjourney for a while.

Been trying to download SD on my Mac but it’s been a massive pain.

Your tutorial worked except everytime I try to generate it says ‘connection errored out’ on the web portal

Is there absolutely any way I can

1. Get fast generations locally
2. Just use the system properly without errors

Mucho gracias for your great work
Eager to hear from you.

Reply
1. Andrew says:
  
  September 18, 2023 at 11:34 am
  
  There could be many unforeseen issues running SD locally. I cannot comment without seeing the error message on the terminal.
  
  But generally using Mac is not ideally because the whole thing is optimized around NVIDIA GPU. For fast local generation, the best option is to get a windows PC with a 4 series NVIDIA card.
  
  Reply
Artie says:

September 12, 2023 at 3:27 pm

Hi there! After following instructions on an Intel MacBook Pro, I’m getting this error four times: “Error
Connection errored out.” when I write a prompt and click on “Generate”. Any suggestion? Many thanks!

Reply
Luis Vásquez says:

September 10, 2023 at 9:53 am

Greetings,
Thanks for your tutorial. I haven’t got it working yet. I have this error, if you could help me i would be inmensely thankful. Everything is okay, but when it gets to the following line:

File “/Users/luis/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/utils/import_utils.py”, line 1088, in _get_module

Then it shows this:

raise RuntimeError(
RuntimeError: Failed to import transformers.models.auto because of the following error (look up to see its traceback):
dlopen(/Users/luis/stable-diffusion-webui/venv/lib/python3.10/site-packages/sentencepiece/_sentencepiece.cpython-310-darwin.so, 2): Symbol not found: ____chkstk_darwin
Referenced from: /Users/luis/stable-diffusion-webui/venv/lib/python3.10/site-packages/sentencepiece/_sentencepiece.cpython-310-darwin.so
Expected in: /usr/lib/libSystem.B.dylib
in /Users/luis/stable-diffusion-webui/venv/lib/python3.10/site-packages/sentencepiece/_sentencepiece.cpython-310-darwin.so

I look forward for an answer, thanks a lot!

Reply
1. Luis Vásquez says:
  
  September 10, 2023 at 3:14 pm
  
  Btw I have macOS 10.13.6 high sierra and i cannot upgrade no more since my mac is old (mid 2012). This has caused me a lot of trouble, like not being able to install the latest xcode or some installs just like this one. This happens to me in this step:
  
  cd ~/stable-diffusion-webui;./webui.sh –no-half
  
  Please i would love to use this in my mac. Help would be inmensely appreciated.
  
  Reply
  1. Andrew says:
    
    September 10, 2023 at 8:16 pm
    
    You will need macOS 12.3 or higher.
    
    Reply
Julien says:

September 10, 2023 at 8:06 am

1. M1
2. Extensions folder is empty

Reply
[email protected] says:

September 8, 2023 at 7:50 am

i have such error on my macbook m1 max

RuntimeError: “upsample_nearest2d_channels_last” not implemented for ‘Half’

but before that everything worked more or less

Reply
1. Andrew says:
  
  September 8, 2023 at 4:10 pm
  
  Try starting with ./webui.sh --no-half
  
  Reply
bulat says:

September 8, 2023 at 6:01 am

how can i unistall properly all this things from my m1 mac?

Reply
1. Andrew says:
  
  September 8, 2023 at 4:06 pm
  
  deleting the stable-diffusion-webui folder will do.
  
  Reply
Roi says:

September 6, 2023 at 6:05 am

I got the same error:

../../scipy/meson.build:159:9: ERROR: Dependency “OpenBLAS” not found, tried pkgconfig, framework and cmake

did you find a solution?

Reply
1. throwaway29909 says:
  
  November 26, 2023 at 2:49 am
  
  brew install openblas
  then open a new terminal window and run:
  export LDFLAGS=”-L/opt/homebrew/opt/openblas/lib”
  export CPPFLAGS=”-I/opt/homebrew/opt/openblas/include”
  export PKG_CONFIG_PATH=”/opt/homebrew/opt/openblas/lib/pkgconfig”
  ./webui.sh –no-half
  
  Reply
julien sallerin says:

September 4, 2023 at 3:40 pm

Hi Andrew, thank you for your help.
i have followed your instructions step by step.
still stuck by collecting scikit-image..
https://docs.google.com/document/d/1G9ZgonGmw2lSQXZkATEGaEnB_TMw4V0ZuaTU6hMJ7kY/edit?usp=sharing
Thank you one more time !

Reply
1. julien sallerin says:
  
  September 4, 2023 at 3:44 pm
  
  ..Scipy
  
  Reply
2. Andrew says:
  
  September 6, 2023 at 2:36 pm
  
  I just re-install on Mac M1. It works successfully. I don’t see scikit-image being installed.
  
  Few questions:
  1. Can you confirm you are using M1 or M2?
  2. Confirm there’s no extensions installed. ie. Delete all folders in the extensions folder.
  
  Reply
julien sallerin says:

September 1, 2023 at 11:50 am

Thank you for your help 🙂
https://docs.google.com/document/d/1oIrzvFlWeEeFy9TunkO11jR86hb0K5F1fDecR2RJTw8/edit?usp=sharing

Reply
1. Andrew says:
  
  September 2, 2023 at 9:27 am
  
  Try running “git pull” to update your webui. Delete the venv folder and run webui.sh again.
  
  If that doesn’t work, try removing folders in extensions and restart the above process.
  
  Reply
julien sallerin says:

September 1, 2023 at 10:14 am

Wow thank you very muche for your answer :

################################################################
Install script for stable-diffusion + Web UI
Tested on Debian 11 (Bullseye)
################################################################

################################################################
Running on juliensallerin user
################################################################

################################################################
Repo already cloned, using it as install directory
################################################################

################################################################
Create and activate python venv
################################################################

################################################################
Launching launch.py…
################################################################
Python 3.10.6 (v3.10.6:9c7b4bd164, Aug 1 2022, 17:13:48) [Clang 13.0.0 (clang-1300.0.29.30)]
Version: v1.5.1
Commit hash: 68f336bd994bed5442ad95bad6b6ad5564a5409a
Installing gfpgan
Traceback (most recent call last):
File “/Users/juliensallerin/stable-diffusion-webui/launch.py”, line 39, in
main()
File “/Users/juliensallerin/stable-diffusion-webui/launch.py”, line 30, in main
prepare_environment()
File “/Users/juliensallerin/stable-diffusion-webui/modules/launch_utils.py”, line 320, in prepare_environment
run_pip(f”install {gfpgan_package}”, “gfpgan”)
File “/Users/juliensallerin/stable-diffusion-webui/modules/launch_utils.py”, line 136, in run_pip
return run(f'”{python}” -m pip {command} –prefer-binary{index_url_line}’, desc=f”Installing {desc}”, errdesc=f”Couldn’t install {desc}”, live=live)
File “/Users/juliensallerin/stable-diffusion-webui/modules/launch_utils.py”, line 113, in run
raise RuntimeError(“\n”.join(error_bits))
RuntimeError: Couldn’t install gfpgan.
Command: “/Users/juliensallerin/stable-diffusion-webui/venv/bin/python3.10” -m pip install https://github.com/TencentARC/GFPGAN/archive/8d2447a2d918f8eba5a4a01463fd48e45126a379.zip –prefer-binary
Error code: 1
stdout: Collecting https://github.com/TencentARC/GFPGAN/archive/8d2447a2d918f8eba5a4a01463fd48e45126a379.zip
Using cached https://github.com/TencentARC/GFPGAN/archive/8d2447a2d918f8eba5a4a01463fd48e45126a379.zip (6.0 MB)
Installing build dependencies: started
Installing build dependencies: finished with status ‘done’
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status ‘done’
Installing backend dependencies: started
Installing backend dependencies: finished with status ‘done’
Preparing metadata (pyproject.toml): started
Preparing metadata (pyproject.toml): finished with status ‘done’
Collecting basicsr>=1.4.2 (from gfpgan==1.3.5)
Using cached basicsr-1.4.2.tar.gz (172 kB)
Installing build dependencies: started
Installing build dependencies: finished with status ‘done’
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status ‘done’
Installing backend dependencies: started
Installing backend dependencies: finished with status ‘done’
Preparing metadata (pyproject.toml): started
Preparing metadata (pyproject.toml): finished with status ‘done’
Collecting facexlib>=0.2.5 (from gfpgan==1.3.5)
Using cached facexlib-0.3.0-py3-none-any.whl (59 kB)
Collecting lmdb (from gfpgan==1.3.5)
Using cached lmdb-1.4.1.tar.gz (881 kB)
Installing build dependencies: started
Installing build dependencies: finished with status ‘done’
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status ‘done’
Preparing metadata (pyproject.toml): started
Preparing metadata (pyproject.toml): finished with status ‘done’
Requirement already satisfied: numpy in ./venv/lib/python3.10/site-packages (from gfpgan==1.3.5) (1.25.2)
Collecting opencv-python (from gfpgan==1.3.5)
Obtaining dependency information for opencv-python from https://files.pythonhosted.org/packages/32/a6/4321f0f30ee11d6d85f49251d417f4e885fe7638b5ac50b7e3c80cccf141/opencv_python-4.8.0.76-cp37-abi3-macosx_11_0_arm64.whl.metadata
Downloading opencv_python-4.8.0.76-cp37-abi3-macosx_11_0_arm64.whl.metadata (19 kB)
Collecting pyyaml (from gfpgan==1.3.5)
Obtaining dependency information for pyyaml from https://files.pythonhosted.org/packages/5b/07/10033a403b23405a8fc48975444463d3d10a5c2736b7eb2550b07b367429/PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl.metadata
Downloading PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl.metadata (2.1 kB)
Collecting scipy (from gfpgan==1.3.5)
Using cached scipy-1.11.2.tar.gz (56.0 MB)
Installing build dependencies: started
Installing build dependencies: finished with status ‘done’
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status ‘done’
Installing backend dependencies: started
Installing backend dependencies: finished with status ‘done’
Preparing metadata (pyproject.toml): started
Preparing metadata (pyproject.toml): finished with status ‘error’

stderr: error: subprocess-exited-with-error

× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [43 lines of output]
+ meson setup /private/var/folders/m4/9j34tlks2zq2_xrnkn5jnnxw0000gn/T/pip-install-6o1b36a3/scipy_364cf24d69844dad8d45f84a032eb618 /private/var/folders/m4/9j34tlks2zq2_xrnkn5jnnxw0000gn/T/pip-install-6o1b36a3/scipy_364cf24d69844dad8d45f84a032eb618/.mesonpy-ksiupg1j/build -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md –native-file=/private/var/folders/m4/9j34tlks2zq2_xrnkn5jnnxw0000gn/T/pip-install-6o1b36a3/scipy_364cf24d69844dad8d45f84a032eb618/.mesonpy-ksiupg1j/build/meson-python-native-file.ini
The Meson build system
Version: 1.2.1
Source dir: /private/var/folders/m4/9j34tlks2zq2_xrnkn5jnnxw0000gn/T/pip-install-6o1b36a3/scipy_364cf24d69844dad8d45f84a032eb618
Build dir: /private/var/folders/m4/9j34tlks2zq2_xrnkn5jnnxw0000gn/T/pip-install-6o1b36a3/scipy_364cf24d69844dad8d45f84a032eb618/.mesonpy-ksiupg1j/build
Build type: native build
Project name: SciPy
Project version: 1.11.2
C compiler for the host machine: cc (clang 13.0.0 “Apple clang version 13.0.0 (clang-1300.0.29.30)”)
C linker for the host machine: cc ld64 711
C++ compiler for the host machine: c++ (clang 13.0.0 “Apple clang version 13.0.0 (clang-1300.0.29.30)”)
C++ linker for the host machine: c++ ld64 711
Cython compiler for the host machine: cython (cython 0.29.36)
Host machine cpu family: aarch64
Host machine cpu: aarch64
Program python found: YES (/Users/juliensallerin/stable-diffusion-webui/venv/bin/python3.10)
Found pkg-config: /opt/homebrew/bin/pkg-config (0.29.2)
Run-time dependency python found: YES 3.10
Program cython found: YES (/private/var/folders/m4/9j34tlks2zq2_xrnkn5jnnxw0000gn/T/pip-build-env-o3n9g62l/overlay/bin/cython)
Compiler for C supports arguments -Wno-unused-but-set-variable: NO
Compiler for C supports arguments -Wno-unused-function: YES
Compiler for C supports arguments -Wno-conversion: YES
Compiler for C supports arguments -Wno-misleading-indentation: YES
Library m found: YES
Fortran compiler for the host machine: gfortran (gcc 13.1.0 “GNU Fortran (Homebrew GCC 13.1.0) 13.1.0”)
Fortran linker for the host machine: gfortran ld64 711
Compiler for Fortran supports arguments -Wno-conversion: YES
Checking if “-Wl,–version-script” : links: NO
Program pythran found: YES (/private/var/folders/m4/9j34tlks2zq2_xrnkn5jnnxw0000gn/T/pip-build-env-o3n9g62l/overlay/bin/pythran)
Found CMake: /opt/homebrew/bin/cmake (3.27.4)
WARNING: CMake Toolchain: Failed to determine CMake compilers state
Run-time dependency xsimd found: NO (tried pkgconfig, framework and cmake)
Run-time dependency threads found: YES
Library npymath found: YES
Library npyrandom found: YES
pybind11-config found: YES (/private/var/folders/m4/9j34tlks2zq2_xrnkn5jnnxw0000gn/T/pip-build-env-o3n9g62l/overlay/bin/pybind11-config) 2.10.4
Run-time dependency pybind11 found: YES 2.10.4
Run-time dependency openblas found: NO (tried pkgconfig, framework and cmake)
Run-time dependency openblas found: NO (tried pkgconfig, framework and cmake)

../../scipy/meson.build:159:9: ERROR: Dependency “OpenBLAS” not found, tried pkgconfig, framework and cmake

A full log can be found at /private/var/folders/m4/9j34tlks2zq2_xrnkn5jnnxw0000gn/T/pip-install-6o1b36a3/scipy_364cf24d69844dad8d45f84a032eb618/.mesonpy-ksiupg1j/build/meson-logs/meson-log.txt
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

zsh: command not found: –no-half

Reply
Julien says:

August 30, 2023 at 3:58 pm

When i launch for the first time webui.sh
It stops when installing Installing gfpgan

× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [43 lines of output]
Do you know how to fix it?
i try for several days to fix it.
Any help would be appreciate ^^

Reply
1. Andrew says:
  
  September 1, 2023 at 6:31 am
  
  Can you post the full error message? there should be something informative before that.
  
  Reply
Don Casteel says:

August 19, 2023 at 9:21 am

Very low quality results, very disappointing, especially since I couldn’t find it in the Apple Store. I’m always very hesitant downloading un-approved software, now I wish I hadn’t downloaded it.

Reply
Jeff says:

August 5, 2023 at 9:02 pm

I can’t seem to run the model. When to try to run ./webui.sh –no-half, I get an error:

—————-
File “/Users/mark./Dev/stable-diffusion-webui/venv/lib/python3.10/site-packages/omegaconf/basecontainer.py”, line 73, in _get_child
child = self._get_node(
File “/Users/mark./Dev/stable-diffusion-webui/venv/lib/python3.10/site-packages/omegaconf/dictconfig.py”, line 480, in _get_node
raise ConfigKeyError(f”Missing key {key!s}”)
omegaconf.errors.ConfigAttributeError: Missing key model
full_key: model
object_type=dict

Stable diffusion model failed to load
—————-

Also, earlier in the build process it says: “Warning: caught exception ‘Torch not compiled with CUDA enabled’, memory monitor disabled”

Any ideas how it could be resolved?

Reply
1. Andrew says:
  
  August 6, 2023 at 1:15 pm
  
  The CUDA warning is normal. You don’t use CUDA on Mac.
  
  You can try deleting the venv folder and try running it again.
  
  Reply
Hh says:

August 2, 2023 at 3:29 pm

It does

Reply
ET says:

July 30, 2023 at 5:48 pm

Thank you

Reply
ET says:

July 30, 2023 at 12:47 am

This may be a dumb question but how might we uninstall AUTOMATIC1111?

Do we need to use a bunch of terminal commands to do this – or is as simple as just deleting the “stable-diffusion-webui” folder?
Thank you.

Reply
1. Andrew says:
  
  July 30, 2023 at 1:48 pm
  
  You can just delete the stable-diffusion-webui folder.
  
  Reply
bastyani says:

July 28, 2023 at 2:17 am

Hi Andrew! Thanks for this great guide. Now that SDXL 1.0 is out, is there anything we have to change in this guide to install AUTOMATIC1111 (with the latest SD XL 1.0)?

Reply
1. Andrew says:
  
  July 28, 2023 at 10:25 am
  
  Unfortunately, A1111 on Mac doesn’t support SDXL yet.
  
  Reply
Sora Wolfhard says:

July 27, 2023 at 10:47 pm

at the end of a111 instructions you say “Follow the steps in this section the next time when you want to run Stable Diffusion.” does that mean i have to do everything all over again everytime i want to use it? or do i simply need to go to http://127.0.0.1:7860/

Reply
1. Andrew says:
  
  July 28, 2023 at 7:45 am
  
  You will need to have webui.bat running when you go to that URL. If you don’t close the terminal and keep webui.bat running, you can simply go to the URL.
  
  Reply
alireza says:

July 19, 2023 at 11:53 pm

I use Mac mini m2 , with automatic1111 I can use image2image to generate batch and multiple images to make video , but it take 5min for every frame (image) , I want to use my m2 hardware to generate, with beediffusion its super fast and use m2 to render, but I can’t generate multiple images like the web version..
-can I use the automatic1111 web ui but with my m2 for rendering?

Reply
1. Andrew says:
  
  July 20, 2023 at 6:42 am
  
  A1111 is using the M2 but perhaps less optimized for Mac. You can also try Invoke AI
  
  Reply
Nasim Bano says:

July 19, 2023 at 5:09 am

SD WebUI on 16GB M1 pro chip is EXTREMELY SLOW, takes 32.5sec to generate a single image. Is this expected?

Reply
1. Andrew says:
  
  July 19, 2023 at 6:34 am
  
  should be faster. Perhaps your RAM was used up by other programs and it needs to swap memory. Try restarting your machine and run SD again.
  
  Reply
Mick says:

July 19, 2023 at 1:03 am

Here is a log of the terminal messages:

Downloading certifi-2023.5.7-py3-none-any.whl (156 kB)
|████████████████████████████████| 156 kB 71.2 MB/s
Collecting mpmath>=0.19
Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)
|████████████████████████████████| 536 kB 10.6 MB/s
Installing collected packages: mpmath, MarkupSafe, urllib3, typing-extensions, sympy, networkx, jinja2, idna, filelock, charset-normalizer, certifi, torch, requests, pillow, numpy, torchvision
Successfully installed MarkupSafe-2.1.3 certifi-2023.5.7 charset-normalizer-3.2.0 filelock-3.12.2 idna-3.4 jinja2-3.1.2 mpmath-1.3.0 networkx-3.1 numpy-1.25.1 pillow-10.0.0 requests-2.31.0 sympy-1.12 torch-2.0.1 torchvision-0.15.2 typing-extensions-4.7.1 urllib3-2.0.3
WARNING: You are using pip version 21.2.4; however, version 23.2 is available.
You should consider upgrading via the ‘/Users/perfultec/stable-diffusion-webui/venv/bin/python3.10 -m pip install –upgrade pip’ command.
Installing gfpgan

Installing clip
Installing open_clip
Cloning Stable Diffusion into /Users/perfultec/stable-diffusion-webui/repositories/stable-diffusion-stability-ai…
Traceback (most recent call last):
File “/Users/perfultec/stable-diffusion-webui/launch.py”, line 38, in
main()
File “/Users/perfultec/stable-diffusion-webui/launch.py”, line 29, in main
prepare_environment()
File “/Users/perfultec/stable-diffusion-webui/modules/launch_utils.py”, line 299, in prepare_environment
git_clone(stable_diffusion_repo, repo_dir(‘stable-diffusion-stability-ai’), “Stable Diffusion”, stable_diffusion_commit_hash)
File “/Users/perfultec/stable-diffusion-webui/modules/launch_utils.py”, line 153, in git_clone
run(f'”{git}” clone “{url}” “{dir}”‘, f”Cloning {name} into {dir}…”, f”Couldn’t clone {name}”)
File “/Users/perfultec/stable-diffusion-webui/modules/launch_utils.py”, line 107, in run
raise RuntimeError(“\n”.join(error_bits))
RuntimeError: Couldn’t clone Stable Diffusion.
Command: “git” clone “https://github.com/Stability-AI/stablediffusion.git” “/Users/perfultec/stable-diffusion-webui/repositories/stable-diffusion-stability-ai”
Error code: 128
stderr: Cloning into ‘/Users/perfultec/stable-diffusion-webui/repositories/stable-diffusion-stability-ai’…
fatal: unable to access ‘https://github.com/Stability-AI/stablediffusion.git/’: HTTP/2 stream 1 was not closed cleanly before end of the underlying stream

Can you help? I have no idea what is going wrong with it.!!!

Reply
1. Andrew says:
  
  July 19, 2023 at 6:31 am
  
  It complains your computer cannot access github.com with https. You can try putting the that https address on a browser.
  
  Reply
L.S. Alexander says:

July 17, 2023 at 3:10 am

Thank you, Andrew! I am a complete tech ignorant, just an artist who uses AI for inspiration. Following your instructions, I installed Stable Diffusion and the AUTOMATIC1111 gui on my Mac M1 at the first try, and it works like a dream. You are a wonderful instructor. I bought your book.

Reply
1. Andrew says:
  
  July 17, 2023 at 7:35 am
  
  Thank you!
  
  Reply
Ken says:

July 14, 2023 at 6:20 pm

Hi, I got error when trying to install the step 2 of automatic1111.
brew install cmake protobuf rust [email protected] git wget
zsh: command not found: brew
Please help me to solve this problem. Thank you.

Reply
1. Andrew says:
  
  July 15, 2023 at 5:36 am
  
  Have you installed homebrew in step1? You can try running the step 1 command again. maybe there was an error message.
  
  Reply
KT says:

July 10, 2023 at 4:00 am

thanks reply! I solved the problem already after I instal SD one more time.

Reply
Glitterinalarm says:

July 9, 2023 at 8:44 pm

Hi there, I wonder how to install sdxl on Mac ? Do you have any tips for it ?

Reply
Tan Choon Hong says:

July 8, 2023 at 8:34 am

Hi Andrew, I notice Step 4 is missing. Can you please confirm this omission is correct?
Thanks, Choon.

Reply
1. Andrew says:
  
  July 11, 2023 at 10:36 pm
  
  my bad; I didn’t know how to count 🙂 corrected. The original steps are correct.
  
  Reply
tianjiao ji says:

July 7, 2023 at 7:36 am

It works. Thanks very much.

Reply
Camille says:

July 1, 2023 at 11:50 am

Hello, I have a Mac studio M1. The install looks to work. I was able to generate a cat. But I had the message : WARNING: You are using pip version 21.2.4; however, version 23.1.2 is available.
You should consider upgrading via the ‘/Users/——-/stable-diffusion-webui/venv/bin/python3 -m pip install –upgrade pip’ command.
Is it important to upgrading pip version ? If it is, how can i do ?

Reply
1. Andrew says:
  
  July 1, 2023 at 8:22 pm
  
  No, you can ignore the warning.
  
  Reply
Alessandro Fonseca says:

June 30, 2023 at 12:25 pm

Hello! Thanks a lot for this tut!
When I’m trying to load v2-1_768-ema-pruned.ckpt it will give me this error
.. linear.py”, line 114, in forward
return F.linear(input, self.weight, self.bias)
RuntimeError: expected scalar type Float but found Half
I’m on a Mac M1. Doing some research it seems I should install a Pytorch nighlty version or somenthing. I did that but not solved my issue.
Any ideas

Reply
1. Andrew says:
  
  June 30, 2023 at 8:56 pm
  
  You can run with --no-half argument to suppress this error (See FAQ above). But the v2.1 768 model doesn’t seem to work on Mac.
  
  Reply
Edward says:

June 25, 2023 at 12:22 am

Hello,

I am trying out Automatic1111 on a Mac, but have run into a problem. The install seemed to go well and I am able to run the UI in a Firefox browser, but when I try the “Cat” test, I don’t get any image, just what I believe is a noise pattern.

Here is a log of the terminal messages:

********************************************
taoling@Mei-Ling ~ % cd ~/stable-diffusion-webui;./webui.sh

### ################################################################

### Install script for stable-diffusion + Web UI

### Tested on Debian 11 (Bullseye)

### ################################################################

### ################################################################ Running on taoling user ################################################################

### ################################################################ Repo already cloned, using it as install directory ################################################################

### ################################################################ Create and activate python venv ################################################################

### ################################################################
### Launching launch.py… ################################################################
### Python 3.10.12 (main, Jun 15 2023, 07:13:36) [Clang 14.0.3 (clang-1403.0.22.14.1)] Version: v1.3.2

### Commit hash: baf6946e06249c5af9851c60171692c44ef633e0
### Installing requirements
### Launching Web UI with arguments: —skip-torch-cuda-test —upcast-sampling —no-half-vae —use-cpu interrogate
### No module ‘xformers’. Proceeding without it.
### Warning: caught exception ‘Torch not compiled with CUDA enabled’, memory monitor disabled
### Loading weights [cc6cb27103] from /Users/taoling/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt Running on local URL: http://127.0.0.1:7860

### To create a public link, set `share=True` in `launch()`.
### Startup time: 8.1s (import torch: 2.1s, import gradio: 1.8s, import ldm: 0.5s, other imports: 2.5s, load scripts: 0.6s, cr eate ui: 0.3s, gradio launch: 0.2s).
### Creating model from config: /Users/taoling/stable-diffusion-webui/configs/v1-inference.yaml
### LatentDiffusion: Running in eps-prediction mode
### DiffusionWrapper has 859.52 M params.
### Applying optimization: InvokeAI… done.
### Textual inversion embeddings loaded(0):
### Model loaded in 5.1s (load weights from disk: 2.3s, create model: 0.5s, apply weights to model: 0.9s, apply half(): 0.6s, move model to device: 0.8s).
### 100%|█████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:09<00:00, 2.05it/s] Total progress: 100%|█████████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 2.51it/s] Total progress: 100%|█████████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 2.67it/s]

The last three line seem to be the progress meters that run after I enter the "A cat" prompt and click generate. But the image that is generated is a noise pattern that is never resolved into the image of a cat. So the application technically IS running, but no image is created by Stable Diffusion.

I'm running this on a Retina 5K, 27-inch, 2020 iMac with an intel i9 10 core and an AMD Radeon Pro 5700 XT with 16 GB ram . The mac CPU is running with 64 GB ram. MacOS level is 13.4.1 (22F82) Ventura.

Before trying Automatic1111, I tried the DiffusionBee UI and that does work. But some time around February, I had a similar problem with DiffusionBee. The app had been running just fine, creating images as it should, but after release 13.1 or 13.2 (I'm not exactly sure) I got the same problem. The UI started generating just noise. The developer (Divam Gupta, I believe) looked into the matter and issued a new release with a fix and the problem went away. DiffusionBee starting generating image just fine once again.

Do I need to load some additional upgrades for Autimatic1111? Or could it be something else? Any thoughts would be greatly appreciated.

Thanks much.

Reply
1. Andrew says:
  
  June 25, 2023 at 4:02 am
  
  Hi, it needs Apple Silicon (M1/M2) so I am not sure if it runs correctly on an Intel CPU. You can consider Colab: https://stable-diffusion-art.com/automatic1111-colab/
  
  Reply
Adrian says:

June 23, 2023 at 12:20 pm

Hi, Andrew.
Really nice site and absolutely helpful, thanks.
In case of having installed everything and finally don’t use it nevermore locally, do you know which commands we would need in order to uninstall all?
Thanks in advance and all the best to you and your projects

Reply
1. Andrew says:
  
  June 25, 2023 at 3:52 am
  
  You can delete the whole stable-diffusion-webui folder.
  
  Reply
Choon says:

June 21, 2023 at 12:31 am

This is the easiest and clearest I’ve seen on how to install A1111 on the Mac, especially the links one can copy-paste. Will be following this when my new Mac arrives. Thank you for a great job in creating this guide.

Reply
Abi says:

June 14, 2023 at 7:26 pm

You sir are a god! Solved it for me

Reply
Chet says:

June 12, 2023 at 6:14 pm

Hi there, I’m having trouble with this same error message (RuntimeError: “upsample_nearest2d_channels_last” not implemented for ‘Half’).

Could you please elaborate on “Try adding –no-half when you run webui.sh”? Where does one add it? How does one “run webui.sh”?

Thanks in advance!

Reply
1. Andrew says:
  
  June 13, 2023 at 7:05 am
  
  Hi, In terminal App, go into the stable-diffusion-webui folder, run
  
  ./webui.sh --no-half
  
  You should see a confirmation in print out:
  Launching Web UI with arguments: --no-half --skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate
  
  Reply
Joseph Cheek says:

June 11, 2023 at 9:48 pm

Your link for “Download some new models and have fun!” is wrong. what’s the correct link, please?

Reply
1. Andrew says:
  
  June 11, 2023 at 10:04 pm
  
  Ah, corrected.
  
  Reply
Kevin Tsang says:

June 7, 2023 at 4:01 am

Its great instruction but I need your HELP!! I waited for long time and can’t see any URL so I try to open the page directly and try to generate an image but it’s fail! May I know what I can do at this moment? Thanks!!!

Model loaded in 8.4s (calculate hash: 2.4s, load weights from disk: 0.7s, create model: 3.9s, apply weights to model: 0.4s, apply half(): 0.3s, move model to device: 0.6s, load textual inversion embeddings: 0.1s).

0%| | 0/20 [00:05<?, ?it/s]
Error completing request
Arguments: ('task(uzkeldhmrdy7n67)', 'cat', '', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 0, '', '', [], 0, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0) {}
Traceback (most recent call last):
File "/Users/tsangkevin/stable-diffusion-webui/modules/call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "/Users/tsangkevin/stable-diffusion-webui/modules/call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "/Users/tsangkevin/stable-diffusion-webui/modules/txt2img.py", line 57, in txt2img
processed = processing.process_images(p)
File "/Users/tsangkevin/stable-diffusion-webui/modules/processing.py", line 610, in process_images
…..

Reply
1. Andrew says:
  
  June 7, 2023 at 6:47 am
  
  The first part is normal — it should stop there.
  
  The problem is error during generation. The error message seems to be incomplete. Please paste the full message.
  
  Reply
Paul says:

June 2, 2023 at 10:06 am

Mochi Diffusion on mac is fast and uses the Neural Engine.

Reply
openwater says:

May 31, 2023 at 8:39 am

When I finish installing, open it：web http://127.0.0.1:7860 ,Page always Show processing,I can’t do anything. I don’t know how to solve it.。github Someone gave feedback on the same problem.：https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/10793。
以下是运行cd ~/stable-diffusion-webui;./webui.sh后：
################################################################
Install script for stable-diffusion + Web UI
Tested on Debian 11 (Bullseye)
################################################################

################################################################
Running on simonamadeus user
################################################################

################################################################
Repo already cloned, using it as install directory
################################################################

################################################################
Create and activate python venv
################################################################

################################################################
Launching launch.py…
################################################################
Python 3.10.9 (main, Mar 1 2023, 12:20:14) [Clang 14.0.6 ]
Version: v1.3.0
Commit hash: 20ae71faa8ef035c31aa3a410b707d792c8203a3
Installing requirements
Launching Web UI with arguments: –skip-torch-cuda-test –upcast-sampling –no-half-vae –use-cpu interrogate
/Users/simonamadeus/stable-diffusion-webui/modules/mac_specific.py:51: UserWarning: torch.cumsum supported by MPS on MacOS 13+, please upgrade (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/mps/operations/UnaryOps.mm:264.)
cumsum_needs_int_fix = not torch.Tensor([1,2]).to(torch.device(“mps”)).equal(torch.ShortTensor([1,1]).to(torch.device(“mps”)).cumsum(0))
No module ‘xformers’. Proceeding without it.
Warning: caught exception ‘Torch not compiled with CUDA enabled’, memory monitor disabled
Loading weights [cc6cb27103] from /Users/simonamadeus/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt
Running on local URL: http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 2.7s (import torch: 0.8s, import gradio: 0.6s, import ldm: 0.3s, other imports: 0.5s, load scripts: 0.2s, create ui: 0.2s).
Creating model from config: /Users/simonamadeus/stable-diffusion-webui/configs/v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Applying optimization: InvokeAI… done.
Textual inversion embeddings loaded(0):
Model loaded in 20.3s (load weights from disk: 2.0s, create model: 0.7s, apply weights to model: 8.5s, apply half(): 7.8s, move model to device: 1.1s).

Reply
1. Andrew says:
  
  June 1, 2023 at 6:58 am
  
  The gradio UI seems to be running so you should at least see the GUI on your browser. I don’t know what’s wrong either.
  
  You can try
  – using a different browser
  – Remove vpn or proxy settings if any.
  
  Reply
  1. open water says:
    
    June 2, 2023 at 4:37 am
    
    Thanks Reply，Unfortunately it still doesn’t work，Unfortunately it still doesn’t work
    
    Reply
  2. open water says:
    
    June 2, 2023 at 5:16 am
    
    There is a way on git：try this startup argument
    –no-gradio-queue
    Can solve this problem, share it with everyone, now my Mac startup argument share with everyone cd ~/stable-diffusion-webui;./webui.sh –no-half –no-gradio-queue
    The only problem is that it is too slow, 6 minutes for a picture
    
    Reply
    1. Andrew says:
      
      June 2, 2023 at 8:38 am
      
      SD is slow on Mac. Try windows or Colab.
      
      Reply
tianjiao ji says:

May 26, 2023 at 6:10 am

Hi I’m using Python 3.10.0, but still got this problem. Below is the error message:
Error completing request
Arguments: (‘task(es1qnibtjns5d1h)’, ‘cat’, ”, [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, ‘Latent’, 0, 0, 0, [], 0, , False, False, ‘positive’, ‘comma’, 0, False, False, ”, 1, ”, [], 0, ”, [], 0, ”, [], True, False, False, False, 0, None, False, 50) {}
Traceback (most recent call last):
File “/Users/p1323593/stable-diffusion-webui/modules/call_queue.py”, line 57, in f
res = list(func(*args, **kwargs))
File “/Users/p1323593/stable-diffusion-webui/modules/call_queue.py”, line 37, in f
res = func(*args, **kwargs)
File “/Users/p1323593/stable-diffusion-webui/modules/txt2img.py”, line 56, in txt2img
processed = process_images(p)
File “/Users/p1323593/stable-diffusion-webui/modules/processing.py”, line 526, in process_images
res = process_images_inner(p)
File “/Users/p1323593/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/batch_hijack.py”, line 42, in processing_process_images_hijack
return getattr(processing, ‘__controlnet_original_process_images_inner’)(p, *args, **kwargs)
File “/Users/p1323593/stable-diffusion-webui/modules/processing.py”, line 680, in process_images_inner
samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts)
File “/Users/p1323593/stable-diffusion-webui/modules/processing.py”, line 907, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File “/Users/p1323593/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py”, line 377, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File “/Users/p1323593/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py”, line 251, in launch_sampling
return func()
File “/Users/p1323593/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py”, line 377, in
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File “/Users/p1323593/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py”, line 115, in decorate_context
return func(*args, **kwargs)
File “/Users/p1323593/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/sampling.py”, line 145, in sample_euler_ancestral
denoised = model(x, sigmas[i] * s_in, **extra_args)
File “/Users/p1323593/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1501, in _call_impl
return forward_call(*args, **kwargs)
File “/Users/p1323593/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py”, line 135, in forward
x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict([cond_in], image_cond_in))
File “/Users/p1323593/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1501, in _call_impl
return forward_call(*args, **kwargs)
File “/Users/p1323593/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/external.py”, line 114, in forward
eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
File “/Users/p1323593/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/external.py”, line 140, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File “/Users/p1323593/stable-diffusion-webui/modules/sd_hijack_utils.py”, line 17, in
setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
File “/Users/p1323593/stable-diffusion-webui/modules/sd_hijack_utils.py”, line 26, in __call__
return self.__sub_func(self.__orig_func, *args, **kwargs)
File “/Users/p1323593/stable-diffusion-webui/modules/sd_hijack_unet.py”, line 45, in apply_model
return orig_func(self, x_noisy.to(devices.dtype_unet), t.to(devices.dtype_unet), cond, **kwargs).float()
File “/Users/p1323593/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py”, line 858, in apply_model
x_recon = self.model(x_noisy, t, **cond)
File “/Users/p1323593/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1501, in _call_impl
return forward_call(*args, **kwargs)
File “/Users/p1323593/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py”, line 1335, in forward
out = self.diffusion_model(x, t, context=cc)
File “/Users/p1323593/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1501, in _call_impl
return forward_call(*args, **kwargs)
File “/Users/p1323593/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py”, line 802, in forward
h = module(h, emb, context)
File “/Users/p1323593/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1501, in _call_impl
return forward_call(*args, **kwargs)
File “/Users/p1323593/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py”, line 86, in forward
x = layer(x)
File “/Users/p1323593/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1501, in _call_impl
return forward_call(*args, **kwargs)
File “/Users/p1323593/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py”, line 115, in forward
x = F.interpolate(x, scale_factor=2, mode=”nearest”)
File “/Users/p1323593/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/functional.py”, line 3931, in interpolate
return torch._C._nn.upsample_nearest2d(input, output_size, scale_factors)
RuntimeError: “upsample_nearest2d_channels_last” not implemented for ‘Half’

Reply
1. Andrew says:
  
  May 26, 2023 at 6:42 am
  
  Try adding --no-half when you run webui.sh
  
  Reply
harrison says:

May 23, 2023 at 3:36 pm

Help?

RuntimeError: “LayerNormKernelImpl” not implemented for ‘Half’

Python 3.10.11 (main, Apr 7 2023, 07:31:31) [Clang 14.0.0 (clang-1400.0.29.202)]
Version: v1.2.1
Commit hash: 89f9faa63388756314e8a1d96cf86bf5e0663045
Installing requirements
Launching Web UI with arguments: –skip-torch-cuda-test –upcast-sampling –no-half-vae –use-cpu interrogate
No module ‘xformers’. Proceeding without it.
Warning: caught exception ‘Torch not compiled with CUDA enabled’, memory monitor disabled
Loading weights [cc6cb27103] from /Users/harrison/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt
Running on local URL: http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 7.9s (import torch: 2.3s, import gradio: 2.0s, import ldm: 0.6s, other imports: 1.5s, setup codeformer: 0.1s, load scripts: 0.7s, create ui: 0.6s, gradio launch: 0.1s).
Creating model from config: /Users/harrison/stable-diffusion-webui/configs/v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Applying cross attention optimization (InvokeAI).
Textual inversion embeddings loaded(0):
Model loaded in 12.7s (load weights from disk: 4.2s, create model: 0.9s, apply weights to model: 5.3s, apply half(): 2.2s).
Error completing request
Arguments: (‘task(fj7zyha6pm7lx3f)’, ‘sun\n’, ”, [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, ‘Latent’, 0, 0, 0, [], 0, False, False, ‘positive’, ‘comma’, 0, False, False, ”, 1, ”, [], 0, ”, [], 0, ”, [], True, False, False, False, 0) {}
Traceback (most recent call last):
File “/Users/harrison/stable-diffusion-webui/modules/call_queue.py”, line 57, in f
res = list(func(*args, **kwargs))
File “/Users/harrison/stable-diffusion-webui/modules/call_queue.py”, line 37, in f
res = func(*args, **kwargs)
File “/Users/harrison/stable-diffusion-webui/modules/txt2img.py”, line 56, in txt2img
processed = process_images(p)
File “/Users/harrison/stable-diffusion-webui/modules/processing.py”, line 526, in process_images
res = process_images_inner(p)
File “/Users/harrison/stable-diffusion-webui/modules/processing.py”, line 669, in process_images_inner
uc = get_conds_with_caching(prompt_parser.get_learned_conditioning, negative_prompts, p.steps * step_multiplier, cached_uc)
File “/Users/harrison/stable-diffusion-webui/modules/processing.py”, line 608, in get_conds_with_caching
cache[1] = function(shared.sd_model, required_prompts, steps)
File “/Users/harrison/stable-diffusion-webui/modules/prompt_parser.py”, line 140, in get_learned_conditioning
conds = model.get_learned_conditioning(texts)
File “/Users/harrison/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py”, line 669, in get_learned_conditioning
c = self.cond_stage_model(c)
File “/Users/harrison/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1501, in _call_impl
return forward_call(*args, **kwargs)
File “/Users/harrison/stable-diffusion-webui/modules/sd_hijack_clip.py”, line 229, in forward
z = self.process_tokens(tokens, multipliers)
File “/Users/harrison/stable-diffusion-webui/modules/sd_hijack_clip.py”, line 254, in process_tokens
z = self.encode_with_transformers(tokens)
File “/Users/harrison/stable-diffusion-webui/modules/sd_hijack_clip.py”, line 302, in encode_with_transformers
outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)
File “/Users/harrison/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1501, in _call_impl
return forward_call(*args, **kwargs)
File “/Users/harrison/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py”, line 811, in forward
return self.text_model(
File “/Users/harrison/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1501, in _call_impl
return forward_call(*args, **kwargs)
File “/Users/harrison/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py”, line 721, in forward
encoder_outputs = self.encoder(
File “/Users/harrison/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1501, in _call_impl
return forward_call(*args, **kwargs)
File “/Users/harrison/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py”, line 650, in forward
layer_outputs = encoder_layer(
File “/Users/harrison/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1501, in _call_impl
return forward_call(*args, **kwargs)
File “/Users/harrison/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py”, line 378, in forward
hidden_states = self.layer_norm1(hidden_states)
File “/Users/harrison/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1501, in _call_impl
return forward_call(*args, **kwargs)
File “/Users/harrison/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/normalization.py”, line 190, in forward
return F.layer_norm(
File “/Users/harrison/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/functional.py”, line 2515, in layer_norm
return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: “LayerNormKernelImpl” not implemented for ‘Half’

Reply
1. Andrew says:
  
  May 24, 2023 at 8:11 am
  
  Try starting webui with these additional arguments
  ./webui.sh --precision full --no-half
  
  Reply
Timmy says:

May 22, 2023 at 8:06 am

I’m getting same error and I’m running web.sh on terminal. Is there anything else needed to install to get rid of this RuntimeError: “LayerNormKernelImpl” not implemented for ‘Half’

Reply
1. Andrew says:
  
  May 23, 2023 at 8:54 am
  
  It seems that you were not using webui.sh because it should set the --no-half argument to avoid this error. By any chance you have run another file?
  
  Reply
bobpuffer says:

May 20, 2023 at 10:47 am

After installing Homebrew you need the environment variable PATH by using these commands:
(echo; echo ‘eval “$(/opt/homebrew/bin/brew shellenv)”‘) >> /Users/bobpuffer/.zprofile
and
eval “$(/opt/homebrew/bin/brew shellenv)”

Reply
Logan says:

May 15, 2023 at 1:35 pm

the strange thing is, I did update to 3.10 and i double checked in terminal, and it is still showing v3.9 in the error message. Thanks for taking a look, either way — I appreciate it.

Reply
stuffthatfascinatesme says:

May 15, 2023 at 5:42 am

I ve run into the same error, Do let me now if you ve found a solution!

Reply
Logan says:

May 11, 2023 at 1:47 am

Hi Andrew, I’m a very non-code savvy user. Everything good on the install, but every time a try to generate from a prompt or an image, I get an error message and python crashes. It gives me an error code and says dispatch queue: cache queue

Crashed thread has been 9, 10 or 12 – not sure if that matters

Mac mini M1, for reference. Any help greatly appreciated

Reply
1. Andrew says:
  
  May 11, 2023 at 6:55 am
  
  Please post the full error message.
  
  Reply
  1. Logan says:
    
    May 11, 2023 at 5:51 pm
    
    Translated Report (Full Report Below)
    ————————————-
    
    Process: Python [19056]
    Path: /Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/Resources/Python.app/Contents/MacOS/Python
    Identifier: com.apple.python3
    Version: 3.9.6 (3.9.6)
    Build Info: python3-124000000000000~2119
    Code Type: ARM-64 (Native)
    Parent Process: zsh [19019]
    Responsible: Terminal [19017]
    User ID: 501
    
    Date/Time: 2023-05-11 17:47:20.7164 -0400
    OS Version: macOS 12.6.2 (21G320)
    Report Version: 12
    Anonymous UUID: E9DB3E39-5E53-F2D8-0806-4B010E226D9F
    
    Sleep/Wake UUID: CB029746-6E7A-4A39-B1C7-56B0CED23F85
    
    Time Awake Since Boot: 10000 seconds
    Time Since Wake: 252 seconds
    
    System Integrity Protection: enabled
    
    Crashed Thread: 12 Dispatch queue: cache queue
    
    Exception Type: EXC_CRASH (SIGABRT)
    Exception Codes: 0x0000000000000000, 0x0000000000000000
    Exception Note: EXC_CORPSE_NOTIFY
    
    Application Specific Information:
    abort() called
    
    Thread 12 Crashed:: Dispatch 0 libsystem_kernel.dylib 1 libsystem_pthread.dylib 2 libsystem_c.dylib 3 MetalPerformanceShadersGraph 4 MetalPerformanceShadersGraph 5 MetalPerformanceShadersGraph 6 MetalPerformanceShadersGraph 7 MetalPerformanceShadersGraph 8 MetalPerformanceShadersGraph 9 MetalPerformanceShadersGraph 10 MetalPerformanceShadersGraph 11 MetalPerformanceShadersGraph 12 MetalPerformanceShadersGraph 13 MetalPerformanceShadersGraph 14 libtorch_cpu.dylib 15 libtorch_cpu.dylib 16 libdispatch.dylib 17 libdispatch.dylib 18 libtorch_cpu.dylib 19 libtorch_cpu.dylib 20 libtorch_cpu.dylib 21 libtorch_cpu.dylib 22 libtorch_cpu.dylib 23 libtorch_cpu.dylib 24 libtorch_cpu.dylib 25 libtorch_cpu.dylib 26 libtorch_cpu.dylib 27 libtorch_python.dylib 28 Python3 29 Python3 30 Python3 31 Python3 32 Python3 33 Python3 34 Python3 35 Python3 36 Python3 37 Python3 38 Python3 39 Python3 40 Python3 41 Python3 42 Python3 43 Python3 44 Python3 45 Python3 46 Python3 47 Python3 48 Python3 49 Python3 50 Python3 51 Python3 52 Python3 53 Python3 54 Python3 55 Python3 56 Python3 57 Python3 58 Python3 59 Python3 60 Python3 61 Python3 62 Python3 63 Python3 64 Python3 65 Python3 66 Python3 67 Python3 68 Python3 69 Python3 70 Python3 71 Python3 72 Python3 73 Python3 74 Python3 75 Python3 76 Python3 77 Python3 78 Python3 79 Python3 80 Python3 81 Python3 82 Python3 83 Python3 84 Python3 85 Python3 86 Python3 87 Python3 88 Python3 89 Python3 90 Python3 91 Python3 92 Python3 93 Python3 94 Python3 95 Python3 96 Python3 97 Python3 98 Python3 99 Python3 100 Python3 101 Python3 102 Python3 103 Python3 104 Python3 105 Python3 106 Python3 107 Python3 108 Python3 109 Python3 110 Python3 111 Python3 112 Python3 113 Python3 114 Python3 115 Python3 116 Python3 117 Python3 118 Python3 119 Python3 120 Python3 121 Python3 122 Python3 123 Python3 124 Python3 125 Python3 126 Python3 127 Python3 128 Python3 129 Python3 130 Python3 131 Python3 132 Python3 133 Python3 134 Python3 135 Python3 136 Python3 137 Python3 138 Python3 139 Python3 140 Python3 141 Python3 142 Python3 143 Python3 144 Python3 145 Python3 146 Python3 147 Python3 148 Python3 149 Python3 150 Python3 151 Python3 152 Python3 153 Python3 154 Python3 155 Python3 156 Python3 157 Python3 158 libsystem_pthread.dylib 159 libsystem_pthread.dylib queue: cache queue
    0x1925ead98 __pthread_kill + 8
    0x19261fee0 pthread_kill + 288
    0x19255a340 abort + 168
    0x1f6f47080 0x1f68af000 + 6914176
    0x1f6f46eb4 0x1f68af000 + 6913716
    0x1f6c6fd14 0x1f68af000 + 3935508
    0x1f68b9950 0x1f68af000 + 43344
    0x1f692b5e4 0x1f68af000 + 509412
    0x1f6928624 0x1f68af000 + 497188
    0x1f68d1170 0x1f68af000 + 139632
    0x1f68d0bc8 0x1f68af000 + 138184
    0x1f6927b68 0x1f68af000 + 494440
    0x1f69366ec 0x1f68af000 + 554732
    0x1f69395b0 0x1f68af000 + 566704
    0x1468ba22c invocation function for block in at::native::batch_norm_mps_out(at::Tensor const&, c10::optional const&, c10::optional const&, c10::optional const&, c10::optional const&, bool, double, double, at::Tensor&, at::Tensor&, at::Tensor&) + 1288
    0x14685f8b4 invocation function for block in at::native::mps::MPSGraphCache::CreateCachedGraph(std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator > const&, at::native::mps::MPSCachedGraph* () block_pointer) + 216
    0x19245c1b4 _dispatch_client_callout + 20
    0x19246b414 _dispatch_lane_barrier_sync_invoke_and_complete + 56
    0x14684d9c0 at::native::mps::MPSGraphCache::CreateCachedGraph(std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator > const&, at::native::mps::MPSCachedGraph* () block_pointer) + 160
    0x1468b8688 at::native::batch_norm_mps_out(at::Tensor const&, c10::optional const&, c10::optional const&, c10::optional const&, c10::optional const&, bool, double, double, at::Tensor&, at::Tensor&, at::Tensor&) + 3240
    0x1468ba708 at::native::batch_norm_mps(at::Tensor const&, c10::optional const&, c10::optional const&, c10::optional const&, c10::optional const&, bool, double, double) + 436
    0x1430209e4 at::_ops::native_batch_norm::call(at::Tensor const&, c10::optional const&, c10::optional const&, c10::optional const&, c10::optional const&, bool, double, double) + 412
    0x1468bede8 at::native::layer_norm_mps(at::Tensor const&, c10::ArrayRef, c10::optional const&, c10::optional const&, double) + 1092
    0x144dcb760 c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<std::__1::tuple (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef, c10::optional const&, c10::optional const&, double), &(torch::autograd::VariableType::(anonymous namespace)::native_layer_norm(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef, c10::optional const&, c10::optional const&, double))>, std::__1::tuple, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef, c10::optional const&, c10::optional const&, double> >, std::__1::tuple (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef, c10::optional const&, c10::optional const&, double)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef, c10::optional const&, c10::optional const&, double) + 1564
    0x143016b50 at::_ops::native_layer_norm::call(at::Tensor const&, c10::ArrayRef, c10::optional const&, c10::optional const&, double) + 356
    0x142a46bb4 at::native::layer_norm_symint(at::Tensor const&, c10::ArrayRef, c10::optional const&, c10::optional const&, double, bool) + 144
    0x1431b8204 at::_ops::layer_norm::call(at::Tensor const&, c10::ArrayRef, c10::optional const&, c10::optional const&, double, bool) + 364
    0x108410aa4 torch::autograd::THPVariable_layer_norm(_object*, _object*, _object*) + 852
    0x1057dd360 0x105758000 + 545632
    0x105797ee8 _PyObject_MakeTpCall + 360
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    0x105798678 _PyFunction_Vectorcall + 236
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    0x105798320 PyVectorcall_Call + 144
    0x10587704c _PyEval_EvalFrameDefault + 24592
    0x10587a3d4 0x105758000 + 1188820
    0x105798678 _PyFunction_Vectorcall + 236
    0x105797c8c _PyObject_FastCallDictTstate + 140
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    0x1057fde4c 0x105758000 + 679500
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    0x1058796d0 0x105758000 + 1185488
    0x105876e50 _PyEval_EvalFrameDefault + 24084
    0x10587a3d4 0x105758000 + 1188820
    0x105798678 _PyFunction_Vectorcall + 236
    0x10579a810 0x105758000 + 272400
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    0x1058796d0 0x105758000 + 1185488
    0x105876e50 _PyEval_EvalFrameDefault + 24084
    0x10587a3d4 0x105758000 + 1188820
    0x105798678 _PyFunction_Vectorcall + 236
    0x10579a810 0x105758000 + 272400
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    0x105797c8c _PyObject_FastCallDictTstate + 140
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    0x10587a3d4 0x105758000 + 1188820
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    0x105798320 PyVectorcall_Call + 144
    0x10587704c _PyEval_EvalFrameDefault + 24592
    0x10587a3d4 0x105758000 + 1188820
    0x105798678 _PyFunction_Vectorcall + 236
    0x105797c8c _PyObject_FastCallDictTstate + 140
    0x105798a58 _PyObject_Call_Prepend + 148
    0x1057fde4c 0x105758000 + 679500
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    0x1058796d0 0x105758000 + 1185488
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    0x105798730 0x105758000 + 263984
    0x10579a810 0x105758000 + 272400
    0x1058795e8 0x105758000 + 1185256
    0x105876d58 _PyEval_EvalFrameDefault + 23836
    0x105798730 0x105758000 + 263984
    0x10579a810 0x105758000 + 272400
    0x1058795e8 0x105758000 + 1185256
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    0x105876d58 _PyEval_EvalFrameDefault + 23836
    0x105798730 0x105758000 + 263984
    0x10579a810 0x105758000 + 272400
    0x1058795e8 0x105758000 + 1185256
    0x105876d58 _PyEval_EvalFrameDefault + 23836
    0x105798730 0x105758000 + 263984
    0x1058795e8 0x105758000 + 1185256
    0x105876dd4 _PyEval_EvalFrameDefault + 23960
    0x10587a3d4 0x105758000 + 1188820
    0x105798678 _PyFunction_Vectorcall + 236
    0x1058795e8 0x105758000 + 1185256
    0x105876dd4 _PyEval_EvalFrameDefault + 23960
    0x10587a3d4 0x105758000 + 1188820
    0x105798678 _PyFunction_Vectorcall + 236
    0x1058795e8 0x105758000 + 1185256
    0x105876dd4 _PyEval_EvalFrameDefault + 23960
    0x105798730 0x105758000 + 263984
    0x1058795e8 0x105758000 + 1185256
    0x105876dd4 _PyEval_EvalFrameDefault + 23960
    0x10587a3d4 0x105758000 + 1188820
    0x105798678 _PyFunction_Vectorcall + 236
    0x10587704c _PyEval_EvalFrameDefault + 24592
    0x10587a3d4 0x105758000 + 1188820
    0x105798678 _PyFunction_Vectorcall + 236
    0x10587704c _PyEval_EvalFrameDefault + 24592
    0x10587a3d4 0x105758000 + 1188820
    0x105798678 _PyFunction_Vectorcall + 236
    0x105890be0 0x105758000 + 1280992
    0x1057dcacc 0x105758000 + 543436
    0x105877064 _PyEval_EvalFrameDefault + 24616
    0x105798730 0x105758000 + 263984
    0x1058795e8 0x105758000 + 1185256
    0x105876d34 _PyEval_EvalFrameDefault + 23800
    0x105798730 0x105758000 + 263984
    0x1058795e8 0x105758000 + 1185256
    0x105876d34 _PyEval_EvalFrameDefault + 23800
    0x105798730 0x105758000 + 263984
    0x10579a89c 0x105758000 + 272540
    0x105917db0 0x105758000 + 1834416
    0x1058c6d24 0x105758000 + 1502500
    0x19262026c _pthread_start + 148
    0x19261b08c thread_start + 8
    
    Reply
    1. Andrew says:
      
      May 12, 2023 at 4:48 am
      
      mm… haven’t seen this before.
      
      Reply
    2. Andrew says:
      
      May 15, 2023 at 7:25 am
      
      One thing I just notice is you are running python 3.9
      Please upgrade and make sure you are running 3.10
      
      Reply
b8233 says:

May 7, 2023 at 9:05 pm

I found the answer — needed to add “–no-half” and “–use-cpu all” as command line arguments in webui-user.sh. thanks again for the guide!

Reply
1. Andrew says:
  
  May 8, 2023 at 7:15 am
  
  Great! A quick note: You are supposed to run webui.sh on Mac. These two parameters should have already been called if you use it.
  
  Reply
b8233 says:

May 7, 2023 at 7:29 pm

Hi, thanks for the great tutorial. I’m interested to try running SD on an older 2012 iMac with Monterrey 12.6.3. I don’t expect great performance but would like to tinker! Have all prerequisites installed but am getting this error on launching the webui.sh script:

“return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
RuntimeError: MPS backend out of memory (MPS allocated: 361.28 MB, other allocations: 496.40 MB, max allowed: 870.40 MB). Tried to allocate 28.12 MB on private pool. Use PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.0 to disable upper limit for memory allocations (may cause system failure).”

I may have found some information online relating to coda and pytorch, but it’s beyond my understanding at the moment… I’ll keep digging, but any suggestions would be appreciated!
thank you!

Reply
Rukal says:

May 7, 2023 at 5:32 am

It WORKS! Thanks a lot:)

Reply
npicard says:

May 6, 2023 at 5:04 pm

Hi Andrew! Thanks for the tutorial. I got it working all the way to the GUI displaying in-browser. But when I try a test prompt, it says:

RuntimeError: “upsample_nearest2d_channels_last” not implemented for ‘Half’

Any ideas? Running on M1 MBP.

I am running the command cd ~/stable-diffusion-webui;./webui.sh

If I try cd ~/stable-diffusion-webui;./webui.sh –no-half, I get the error launch.py: error: unrecognized arguments: –no-half

I am using the latest version of Python.

Reply
1. Andrew says:
  
  May 7, 2023 at 7:56 am
  
  Hi, the latest version of python may not be supported. Please try python 3.10
  
  Reply
halusky says:

April 30, 2023 at 3:04 pm

+1

Getting the same error message

Reply
AT says:

April 28, 2023 at 2:48 pm

Hey Andrew, I have installed m1 max without any problems, but MB is overheating and the fan is running loudly while generating someting in SD. Frankly, I am worried that it will shorten the life of the computer. Do you have any advice on this? I have a desktop with a rtx 2080, do you think I should work on it? but I’m going to sell my desktop soon.

Reply
1. AT says:
  
  April 28, 2023 at 2:50 pm
  
  sorry my MB has a 32gb memory
  
  Reply
2. Andrew says:
  
  April 29, 2023 at 7:09 am
  
  Hi, welcome to the site. Using Apple machines to run SD is not always ideal because it doesn’t have an nvidia GPU. It works but works a lot harder.
  
  It should not be bad on RTX 2080. May as well be faster than your Mac.
  
  Reply
frank says:

April 26, 2023 at 1:12 am

Hi Andrew! Got this when I tried to run auto1111:
################################################################
Install script for stable-diffusion + Web UI
Tested on Debian 11 (Bullseye)
################################################################

################################################################
Running on apple user
################################################################

################################################################
Repo already cloned, using it as install directory
################################################################

################################################################
Create and activate python venv
################################################################

################################################################
Launching launch.py…
################################################################
Python 3.10.11 (main, Apr 7 2023, 07:24:53) [Clang 14.0.0 (clang-1400.0.29.202)]
Commit hash: 22bcc7be428c94e9408f589966c2040187245d81
Installing open_clip
Traceback (most recent call last):
File “/Users/apple/stable-diffusion-webui/launch.py”, line 355, in
prepare_environment()
File “/Users/apple/stable-diffusion-webui/launch.py”, line 269, in prepare_environment
run_pip(f”install {openclip_package}”, “open_clip”)
File “/Users/apple/stable-diffusion-webui/launch.py”, line 129, in run_pip
return run(f'”{python}” -m pip {args} –prefer-binary{index_url_line}’, desc=f”Installing {desc}”, errdesc=f”Couldn’t install {desc}”)
File “/Users/apple/stable-diffusion-webui/launch.py”, line 97, in run
raise RuntimeError(message)
RuntimeError: Couldn’t install open_clip.
Command: “/Users/apple/stable-diffusion-webui/venv/bin/python3.10” -m pip install git+https://github.com/mlfoundations/open_clip.git@bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b –prefer-binary
Error code: 1
stdout: Collecting git+https://github.com/mlfoundations/open_clip.git@bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b
Cloning https://github.com/mlfoundations/open_clip.git (to revision bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b) to /private/var/folders/hy/jch7z_l94yzftrd0wnrq_6dr0000gn/T/pip-req-build-hr9dyiav

stderr: Running command git clone –filter=blob:none –quiet https://github.com/mlfoundations/open_clip.git /private/var/folders/hy/jch7z_l94yzftrd0wnrq_6dr0000gn/T/pip-req-build-hr9dyiav
致命错误：无法访问 ‘https://github.com/mlfoundations/open_clip.git/’：Recv failure: Operation timed out
致命错误：无法从承诺者远程获取 c7314f628364953cf84836c57d192ba6108bf224
警告：克隆成功，但是检出失败。
您可以通过 ‘git status’ 检查哪些已被检出，然后使用命令
‘git restore –source=HEAD :/’ 重试

error: subprocess-exited-with-error

× git clone –filter=blob:none –quiet https://github.com/mlfoundations/open_clip.git /private/var/folders/hy/jch7z_l94yzftrd0wnrq_6dr0000gn/T/pip-req-build-hr9dyiav did not run successfully.
│ exit code: 128
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error

× git clone –filter=blob:none –quiet https://github.com/mlfoundations/open_clip.git /private/var/folders/hy/jch7z_l94yzftrd0wnrq_6dr0000gn/T/pip-req-build-hr9dyiav did not run successfully.
│ exit code: 128
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.

[notice] A new release of pip is available: 23.0.1 -> 23.1.1
[notice] To update, run: pip install –upgrade pip

Any way to help?
Thank you so much!

Reply
1. Andrew says:
  
  April 26, 2023 at 6:43 am
  
  The main error is : 致命错误：无法访问 ‘https://github.com/mlfoundations/open_clip.git/’：Recv failure: Operation timed out
  
  It seems like you cannot visit this URL. try it on your browser and find a way to access…
  
  Reply
Do says:

April 17, 2023 at 7:51 pm

Working!!!! A huge thanks to you! 🙂

Reply
Do says:

April 17, 2023 at 2:20 pm

Hi! Thanks for your help!
This is what I get when trying to update fastapi:

Usage:
/Users/me/stable-diffusion-webui/venv/bin/python -m pip install [options] [package-index-options] …
/Users/me/stable-diffusion-webui/venv/bin/python -m pip install [options] -r [package-index-options] …
/Users/me/stable-diffusion-webui/venv/bin/python -m pip install [options] [-e] …
/Users/me/stable-diffusion-webui/venv/bin/python -m pip install [options] [-e] …
/Users/me/stable-diffusion-webui/venv/bin/python -m pip install [options] …

no such option: -u

Reply
1. Andrew says:
  
  April 17, 2023 at 7:19 pm
  
  The site automatically changed two short dashes to one long…. Let’s try again.
  ./venv/bin/python -m pip install --upgrade fastapi==0.90.1
  
  Reply
do says:

April 16, 2023 at 9:25 pm

Here is the complete log: Not sure if you are referring to something else…

Launching launch.py…
################################################################
Python 3.10.11 (main, Apr 7 2023, 07:31:31) [Clang 14.0.0 (clang-1400.0.29.202)]
Commit hash: 310b71f669e4f2cea11b023c47f7ffedd82ab464
Installing requirements for Web UI
Launching Web UI with arguments: –no-half –use-cpu interrogate –reinstall-torch
Warning: caught exception ‘Torch not compiled with CUDA enabled’, memory monitor disabled
No module ‘xformers’. Proceeding without it.
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Loading weights [81761151] from /Users/dominick/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt
Applying cross attention optimization (InvokeAI).
Textual inversion embeddings loaded(0):
Model loaded.
Running on local URL: http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Traceback (most recent call last):
File “/Users/dominick/stable-diffusion-webui/launch.py”, line 307, in
start()
File “/Users/dominick/stable-diffusion-webui/launch.py”, line 302, in start
webui.webui()
File “/Users/dominick/stable-diffusion-webui/webui.py”, line 172, in webui
app.add_middleware(GZipMiddleware, minimum_size=1000)
File “/Users/dominick/stable-diffusion-webui/venv/lib/python3.10/site-packages/starlette/applications.py”, line 139, in add_middleware
raise RuntimeError(“Cannot add middleware after an application has started”)
RuntimeError: Cannot add middleware after an application has started
MacBook-Pro:stable-diffusion-webui dominick$

Reply
1. Andrew says:
  
  April 17, 2023 at 8:14 am
  
  Try upgrade fastapi. In the webui directory, run:
  
  ./venv/bin/python -m pip install –upgrade fastapi==0.90.1
  
  Reply
do says:

April 15, 2023 at 7:31 pm

Try, and the error is still there…

Reply
1. Andrew says:
  
  April 16, 2023 at 8:21 am
  
  Can you post your arguments to webui? it’s a print out during startup.
  
  Reply
Do says:

April 15, 2023 at 7:21 pm

Thanks I’ll try!

Reply
Dean says:

April 15, 2023 at 9:46 am

Hello, I’m having the same problem.

Error completing request
Arguments: (‘task(7ciuh5z2e0q2h54)’, ‘cat\n’, ”, [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, True, 0.7, 2, ‘Latent’, 0, 0, 0, [], 0, False, False, ‘positive’, ‘comma’, 0, False, False, ”, 1, ”, 0, ”, 0, ”, True, False, False, False, 0) {}
Traceback (most recent call last):
File “/Users/nick/stable-diffusion-webui/modules/call_queue.py”, line 56, in f
res = list(func(*args, **kwargs))
File “/Users/nick/stable-diffusion-webui/modules/call_queue.py”, line 37, in f
res = func(*args, **kwargs)
File “/Users/nick/stable-diffusion-webui/modules/txt2img.py”, line 56, in txt2img
processed = process_images(p)
File “/Users/nick/stable-diffusion-webui/modules/processing.py”, line 503, in process_images
res = process_images_inner(p)
File “/Users/nick/stable-diffusion-webui/modules/processing.py”, line 642, in process_images_inner
uc = get_conds_with_caching(prompt_parser.get_learned_conditioning, negative_prompts, p.steps, cached_uc)
File “/Users/nick/stable-diffusion-webui/modules/processing.py”, line 587, in get_conds_with_caching
cache[1] = function(shared.sd_model, required_prompts, steps)
File “/Users/nick/stable-diffusion-webui/modules/prompt_parser.py”, line 140, in get_learned_conditioning
conds = model.get_learned_conditioning(texts)
File “/Users/nick/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py”, line 669, in get_learned_conditioning
c = self.cond_stage_model(c)
File “/Users/nick/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1130, in _call_impl
return forward_call(*input, **kwargs)
File “/Users/nick/stable-diffusion-webui/modules/sd_hijack_clip.py”, line 229, in forward
z = self.process_tokens(tokens, multipliers)
File “/Users/nick/stable-diffusion-webui/modules/sd_hijack_clip.py”, line 254, in process_tokens
z = self.encode_with_transformers(tokens)
File “/Users/nick/stable-diffusion-webui/modules/sd_hijack_clip.py”, line 302, in encode_with_transformers
outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)
File “/Users/nick/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1130, in _call_impl
return forward_call(*input, **kwargs)
File “/Users/nick/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py”, line 811, in forward
return self.text_model(
File “/Users/nick/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1130, in _call_impl
return forward_call(*input, **kwargs)
File “/Users/nick/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py”, line 721, in forward
encoder_outputs = self.encoder(
File “/Users/nick/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1130, in _call_impl
return forward_call(*input, **kwargs)
File “/Users/nick/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py”, line 650, in forward
layer_outputs = encoder_layer(
File “/Users/nick/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1130, in _call_impl
return forward_call(*input, **kwargs)
File “/Users/nick/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py”, line 378, in forward
hidden_states = self.layer_norm1(hidden_states)
File “/Users/nick/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1130, in _call_impl
return forward_call(*input, **kwargs)
File “/Users/nick/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/normalization.py”, line 189, in forward
return F.layer_norm(
File “/Users/nick/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/functional.py”, line 2503, in layer_norm
return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: “LayerNormKernelImpl” not implemented for ‘Half’

Reply
1. Nurtore says:
  
  May 5, 2023 at 8:57 am
  
  cd ~/stable-diffusion-webui;./webui.sh –skip-torch-cuda-test –precision full –no-half
  
  Reply
do says:

April 14, 2023 at 9:16 pm

Hi!
I’m running into these 2 problems:

1- Warning: caught exception ‘Torch not compiled with CUDA enabled’, memory monitor disabled
No module ‘xformers’. Proceeding without it.

2- File “/usr/local/lib/python3.10/site-packages/starlette/applications.py”, line 139, in add_middleware
raise RuntimeError(“Cannot add middleware after an application has started”)
RuntimeError: Cannot add middleware after an application has started

Any help would be greatly appreciated!

Thanks,

Reply
1. Andrew says:
  
  April 15, 2023 at 7:33 am
  
  Hi, the first warning is normal — nothing to worry about.
  the second one was a bug from fastai. it should have been fixed. You can try doing a “git pull” in the webui directory to retrieve the latest code. Then delete the venv folder and run again.
  
  Reply
2. halusky says:
  
  April 30, 2023 at 3:06 pm
  
  Ran into the same issue. Try running the script with arguments ‘ –precision full –no-half
  
  Source: https://huggingface.co/CompVis/stable-diffusion-v1-4/discussions/64
  
  Reply
Den says:

April 13, 2023 at 11:06 am

Btw, It’s not necessary downloading model separately. It will be downloaded when you run web UI for the first time.

Reply
1. Andrew says:
  
  April 13, 2023 at 12:57 pm
  
  Ah, good to know. Thanks.
  
  Reply
The Watcher says:

April 8, 2023 at 5:10 pm

So unsurprisingly it was me ! I thought I was on the last version of Monterey , I wasn’t , Updated that to the last version , Ran SD again & it worked.
Slow but it gets there , I really have to say thank you because I wouldn’t have got this far without your very clear instructions , today’s the first time I’ve ever dowloaded code from github !
My new problem is I installed the Deforum extension , that doesn’t want to work !
It starts to generate the video then Python completely crashes.
I’m fairly sure it’s something to do with this :

You are running torch 1.12.1.
The program is tested to work with torch 1.13.1.
To reinstall the desired version, run with commandline flag –reinstall-torch.
Beware that this will cause a lot of large files to be downloaded, as well as
there are reports of issues with training tab on the latest version.

I found a post on Reddit which says to edit the webui-user.bat file adding
set COMMANDLINE_ARGS=”–reinstall-torch” (are those “”meant to be there ? I’ve tried both ! )
delete the venv folder and run again .
It reloads everything each time I delete that folder , I was hoping I might get something as simple as press 1 to install torch 1.13.1 but no , it’s not happening …

This is the reddit post with the exact same issue I’ve now got .

https://www.reddit.com/r/StableDiffusion/comments/10m48dv/how_do_i_reinstall_torch_to_get_to_1131/

Don’t suppose you know the magic words to update torch to 1.13.1 do you ?
sorry to be a hassle & thank you .

Reply
1. Andrew says:
  
  April 8, 2023 at 5:40 pm
  
  Sorry I haven’t encountered this problem before so I cannot suggest a solution.
  
  Reply
The Watcher says:

April 8, 2023 at 9:18 am

So I’ve Installed Homebrew, the packages , cloned the repo etc . Stable Diffusion model is where it should be. I can run the WebUI but when I input txt I get this error (mac mini M1 8gig Monterey 12.2.1)
Do any clever people have any advice to offer ? This is all new to me ..
Error completing request
Arguments: (‘task(c8nzucb8gosp6ez)’, ‘A portrait of a man with no mouth trying to scream , his face is wired to the computer mother board behind him , highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by artgerm and greg rutkowski and alphonse mucha’, ‘ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, bad anatomy, watermark, signature, cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face’, [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, ‘Latent’, 0, 0, 0, [], 0, False, False, ‘positive’, ‘comma’, 0, False, False, ”, 1, ”, 0, ”, 0, ”, True, False, False, False, 0) {}
Traceback (most recent call last):
File “/Users/simonlord/stable-diffusion-webui/modules/call_queue.py”, line 56, in f
res = list(func(*args, **kwargs))
File “/Users/simonlord/stable-diffusion-webui/modules/call_queue.py”, line 37, in f
res = func(*args, **kwargs)
File “/Users/simonlord/stable-diffusion-webui/modules/txt2img.py”, line 56, in txt2img
processed = process_images(p)
File “/Users/simonlord/stable-diffusion-webui/modules/processing.py”, line 503, in process_images
res = process_images_inner(p)
File “/Users/simonlord/stable-diffusion-webui/modules/processing.py”, line 642, in process_images_inner
uc = get_conds_with_caching(prompt_parser.get_learned_conditioning, negative_prompts, p.steps, cached_uc)
File “/Users/simonlord/stable-diffusion-webui/modules/processing.py”, line 587, in get_conds_with_caching
cache[1] = function(shared.sd_model, required_prompts, steps)
File “/Users/simonlord/stable-diffusion-webui/modules/prompt_parser.py”, line 140, in get_learned_conditioning
conds = model.get_learned_conditioning(texts)
File “/Users/simonlord/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py”, line 669, in get_learned_conditioning
c = self.cond_stage_model(c)
File “/Users/simonlord/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1130, in _call_impl
return forward_call(*input, **kwargs)
File “/Users/simonlord/stable-diffusion-webui/modules/sd_hijack_clip.py”, line 229, in forward
z = self.process_tokens(tokens, multipliers)
File “/Users/simonlord/stable-diffusion-webui/modules/sd_hijack_clip.py”, line 254, in process_tokens
z = self.encode_with_transformers(tokens)
File “/Users/simonlord/stable-diffusion-webui/modules/sd_hijack_clip.py”, line 302, in encode_with_transformers
outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)
File “/Users/simonlord/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1130, in _call_impl
return forward_call(*input, **kwargs)
File “/Users/simonlord/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py”, line 811, in forward
return self.text_model(
File “/Users/simonlord/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1130, in _call_impl
return forward_call(*input, **kwargs)
File “/Users/simonlord/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py”, line 721, in forward
encoder_outputs = self.encoder(
File “/Users/simonlord/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1130, in _call_impl
return forward_call(*input, **kwargs)
File “/Users/simonlord/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py”, line 650, in forward
layer_outputs = encoder_layer(
File “/Users/simonlord/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1130, in _call_impl
return forward_call(*input, **kwargs)
File “/Users/simonlord/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py”, line 378, in forward
hidden_states = self.layer_norm1(hidden_states)
File “/Users/simonlord/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1130, in _call_impl
return forward_call(*input, **kwargs)
File “/Users/simonlord/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/normalization.py”, line 189, in forward
return F.layer_norm(
File “/Users/simonlord/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/functional.py”, line 2503, in layer_norm
return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: “LayerNormKernelImpl” not implemented for ‘Half’

Reply
1. Andrew says:
  
  April 8, 2023 at 11:37 am
  
  That’s new to me too. Webui has not been stable after recent changes. Perhaps you can try checking out the code from like 2 weeks ago.
  
  Reply
CH says:

April 4, 2023 at 6:42 am

No module ‘xformers’. Proceeding without it.
==============================================================================
You are running torch 1.12.1.
The program is tested to work with torch 1.13.1.
To reinstall the desired version, run with commandline flag –reinstall-torch.
Beware that this will cause a lot of large files to be downloaded, as well as
there are reports of issues with training tab on the latest version.

Use –skip-version-check commandline argument to disable this check.
==============================================================================
Loading weights [c6bbc15e32] from /Users/chenchanghai/stable-diffusion-webui/models/Stable-diffusion/sd-v1-5-inpainting.ckpt
Creating model from config: /Users/chenchanghai/stable-diffusion-webui/configs/v1-inpainting-inference.yaml
LatentInpaintDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.54 M params.
Failed to create model quickly; will retry using slow method.
LatentInpaintDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.54 M params.
loading stable diffusion model: JSONDecodeError
Traceback (most recent call last):
File “/Users/chenchanghai/stable-diffusion-webui/webui.py”, line 139, in initialize
modules.sd_models.load_model()
File “/Users/chenchanghai/stable-diffusion-webui/modules/sd_models.py”, line 438, in load_model
sd_model = instantiate_from_config(sd_config.model)
File “/Users/chenchanghai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py”, line 89, in instantiate_from_config
return get_obj_from_str(config[“target”])(**config.get(“params”, dict()))
File “/Users/chenchanghai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py”, line 1650, in __init__
super().__init__(concat_keys, *args, **kwargs)
File “/Users/chenchanghai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py”, line 1515, in __init__
super().__init__(*args, **kwargs)
File “/Users/chenchanghai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py”, line 563, in __init__
self.instantiate_cond_stage(cond_stage_config)
File “/Users/chenchanghai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py”, line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File “/Users/chenchanghai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py”, line 89, in instantiate_from_config
return get_obj_from_str(config[“target”])(**config.get(“params”, dict()))
File “/Users/chenchanghai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py”, line 103, in __init__
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File “/Users/chenchanghai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py”, line 1801, in from_pretrained
return cls._from_pretrained(
File “/Users/chenchanghai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py”, line 1956, in _from_pretrained
tokenizer = cls(*init_inputs, **init_kwargs)
File “/Users/chenchanghai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/models/clip/tokenization_clip.py”, line 323, in __init__
self.encoder = json.load(vocab_handle)
File “/Users/chenchanghai/anaconda3/lib/python3.10/json/__init__.py”, line 293, in load
return loads(fp.read(),
File “/Users/chenchanghai/anaconda3/lib/python3.10/json/__init__.py”, line 346, in loads
return _default_decoder.decode(s)
File “/Users/chenchanghai/anaconda3/lib/python3.10/json/decoder.py”, line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File “/Users/chenchanghai/anaconda3/lib/python3.10/json/decoder.py”, line 353, in raw_decode
obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Unterminated string starting at: line 1 column 35818 (char 35817)

“I don’t know what to do to solve these problems. I’ve been trying for a whole day, but these problems still persist and I keep getting error messages. Do you have any solutions to solve them?”

Reply
1. Andrew says:
  
  April 4, 2023 at 8:28 am
  
  I think you accidentally changed a text file in the directory. Try in terminal “git checkout -f” in the webui directory.
  
  Reply
amico says:

April 3, 2023 at 9:57 am

Thank you!

Reply
amico says:

April 3, 2023 at 9:05 am

Will AUTOMATIC1111 work on Mac Mini M2 (8GB)? And if not, will it work on Mac Mini M2 Pro (16GB)?

Reply
1. Andrew says:
  
  April 3, 2023 at 9:41 am
  
  Not sure about 8GB. Can be slow because of swap memory. 16GB will definitely work.
  
  Reply
Cruise says:

April 2, 2023 at 12:00 pm

There is a problem when I use stable diffusion.
I have installed the stable diffusion, but when I generate the picture, there is an exception dialog, as follows:

Something went wrong Expecting value: line 1 column 1 (char 0)

Reply
1. Andrew says:
  
  April 2, 2023 at 4:44 pm
  
  Haven’t seen this one before but perhaps you have accidentally changed a file? Try do a fresh git clone.
  
  Reply
Mari says:

March 7, 2023 at 6:25 pm

Hello! thanks for this post… but i have a problem i can’t solve yet. When i try to run the “cd ~/stable-diffusion-webui;./webui.sh”

this error appears and no matter what i do it wont go, any suggestions on how to fix it?

Screenshot of the error:
https://ibb.co/tXdfL91

Reply
1. Andrew says:
  
  March 7, 2023 at 8:03 pm
  
  Hi, I haven’t seen this before. The only thing I can think of is you can check if your OS is update-to-date. I install it successfully on MacOS 13.2.1.
  If that’s not the issue, you can visit a1111’s github page and ask for help there.
  
  Reply
Spencer says:

March 7, 2023 at 5:05 am

Hi Andrew,

Thanks for the tutorial. It installed ok but when I try to prompt I get this error:
RuntimeError: “LayerNormKernelImpl” not implemented for ‘Half’

It’s making me think it’s. not configured for M1 processors…?

Thanks for any help you can offer

Reply
1. Andrew says:
  
  March 7, 2023 at 7:17 am
  
  Hi, I just tested installing on a M1 and it works. A few pointers
  1. Did you run webui.sh? It should call a macos script which specifies a “no half” argument.
  2. Any error message when you run webui.sh?
  
  Reply
Anna says:

February 13, 2023 at 4:51 am

Hello Andrew ! I’ve got this error after launching launch.py:
File”/usr/local/Cellar/[email protected]/3.10.10/Frameworks/Python.framework/Versions/3.10/lib/python3.10/importlib/__init__.py”, line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
ImportError: dlopen(/Users/anna/stable-diffusion-webui/venv/lib/python3.10/site-packages/cv2/cv2.abi3.so, 2): Symbol not found: _VTRegisterSupplementalVideoDecoderIfAvailable
Referenced from: /Users/anna/stable-diffusion-webui/venv/lib/python3.10/site-packages/cv2/.dylibs/libavcodec.59.37.100.dylib (which was built for Mac OS X 11.0)
Expected in: /System/Library/Frameworks/VideoToolbox.framework/Versions/A/VideoToolbox
in /Users/anna/stable-diffusion-webui/venv/lib/python3.10/site-packages/cv2/.dylibs/libavcodec.59.37.100.dylib

Looks like is missing a file. Any clue why?
Thanks !

Reply
1. Andrew says:
  
  February 13, 2023 at 6:56 am
  
  It seems that your Mac OS is outdated. It’s looking for something available in OS 11 or higher.
  
  Reply
Rich says:

February 2, 2023 at 3:53 pm

Andrew,
Thank you for putting this together! I followed your instructions (but maybe failed) and I’m getting a change directory error:
./webui.sh: line 105: cd: /home/2022mac14/: No such file or directory
ERROR: Can’t cd to /home/2022mac14/, aborting…%

Yet there is a directory – any help is appreciated (clearly a noob)

Reply
1. Andrew says:
  
  February 2, 2023 at 7:09 pm
  
  Hi Rich, the error message looks wrong — the directory should be the stable-diffusion-webui, not your home dir. There’s a chance that something was wrong before this step. You can try restart install the whole thing again.
  
  Reply
Brent says:

February 2, 2023 at 2:42 am

Everytime I try running it local on my mac book pro I get the following message and the terminal basically stays like this indefinitely for hours. I have no idea how to fix it.

==> ./configure –prefix=/usr/local/Cellar/rust/1.67.0 –enable-vendor –set rus
==> make

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1. Andrew says:
  
  February 2, 2023 at 8:40 am
  
  Haven’t seen this error. I would try reinstall.
  
  Reply
David Fisher says:

January 29, 2023 at 10:02 pm

Hi!
I posted a plea for help a while ago
Disregard!
Figured it out!
Thank you very much!!!
David

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David Fisher says:

January 29, 2023 at 8:57 pm

Greetings;
New at trying to run SD locally on my M2 MacBook… Not new with SD.
Following is the echo after running the command to do the original initialization/setup etc:
——–clipped just after ‘No module ‘xformers’. Proceeding without it.

You are running torch 1.12.1.
The program is tested to work with torch 1.13.1.
To reinstall the desired version, run with commandline flag –reinstall-torch.
Beware that this will cause a lot of large files to be downloaded.
((What directory do I need to be in to successfully run the –reinstall-torch command?))
==============================================================================
Loading weights [b97a0e0676] from /Users/davidfisher/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt.download/v1-5-pruned-emaonly.ckpt
Error verifying pickled file from /Users/davidfisher/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt.download/v1-5-pruned-emaonly.ckpt:
Traceback (most recent call last):
File “/Users/davidfisher/stable-diffusion-webui/modules/safe.py”, line 81, in check_pt
with zipfile.ZipFile(filename) as z:
File “/opt/homebrew/Cellar/[email protected]/3.10.9/Frameworks/Python.framework/Versions/3.10/lib/python3.10/zipfile.py”, line 1267, in __init__
self._RealGetContents()
File “/opt/homebrew/Cellar/[email protected]/3.10.9/Frameworks/Python.framework/Versions/3.10/lib/python3.10/zipfile.py”, line 1334, in _RealGetContents
raise BadZipFile(“File is not a zip file”)
zipfile.BadZipFile: File is not a zip file

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File “/Users/davidfisher/stable-diffusion-webui/modules/safe.py”, line 135, in load_with_extra
check_pt(filename, extra_handler)
File “/Users/davidfisher/stable-diffusion-webui/modules/safe.py”, line 102, in check_pt
unpickler.load()
_pickle.UnpicklingError: persistent IDs in protocol 0 must be ASCII strings

—–> !!!! The file is most likely corrupted !!!! <—–
You can skip this check with –disable-safe-unpickle commandline argument, but that is not going to help you.

loading stable diffusion model: AttributeError
Traceback (most recent call last):
File "/Users/davidfisher/stable-diffusion-webui/webui.py", line 103, in initialize
modules.sd_models.load_model()
File "/Users/davidfisher/stable-diffusion-webui/modules/sd_models.py", line 370, in load_model
state_dict = get_checkpoint_state_dict(checkpoint_info, timer)
File "/Users/davidfisher/stable-diffusion-webui/modules/sd_models.py", line 228, in get_checkpoint_state_dict
res = read_state_dict(checkpoint_info.filename)
File "/Users/davidfisher/stable-diffusion-webui/modules/sd_models.py", line 214, in read_state_dict
sd = get_state_dict_from_checkpoint(pl_sd)
File "/Users/davidfisher/stable-diffusion-webui/modules/sd_models.py", line 187, in get_state_dict_from_checkpoint
pl_sd = pl_sd.pop("state_dict", pl_sd)
AttributeError: 'NoneType' object has no attribute 'pop'

Stable diffusion model failed to load, exiting
———
I hate doing this to you but I'm basically stuck.

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1. Andrew says:
  
  January 29, 2023 at 9:23 pm
  
  Hi David, you will need to edit the file webui-macos-env.sh
  There’s a line like
  
  export COMMANDLINE_ARGS=”–skip-torch-cuda-test –use-cpu interrogate”
  
  You can add –reinstall-torch to it
  
  If it does it, you will need to remove it before running again.
  
  Reply