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
- Diffusers App
- DiffusionBee
- AUTOMATIC1111
- Pros and Cons of AUTOMATIC1111
- Frequently Asked Questions
- Does AUTOMATIC1111 on Mac support SDXL?
- 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
- I got “RuntimeError: Cannot add middleware after an application has started”
- I got RuntimeError: “LayerNormKernelImpl” not implemented for ‘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.”
- I encountered the error “zsh: command not found: brew”.
- 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.
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.
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/.zprofileeval $(/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 wgetStep 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-webuiA 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.shIt 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-webuiLastly, update the software by pulling the latest codes.
git pullRun 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 startedThis is caused by an outdated fastapi package. Run the following command in the webui folder.
./venv/bin/python -m pip install --upgrade fastapi==0.90.1I got RuntimeError: “LayerNormKernelImpl” not implemented for ‘Half’
Start the webUI with the following command.
./webui.sh --precision full --no-halfWhen 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-halfHowever, 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!
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
You are welcome!
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?
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.
seems the new models you download were corrupted.
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'”
I’ve seen this error but it didn’t affect image generation. You can try redownloading the model, or reinstalling the whole thing again.
hi! i’m stucked 🙁
when i try generate anything it gives me this:
SafetensorError: Error while deserializing header: MetadataIncompleteBuffer
no idea what to do!
seems your checkpoint file is corrupted. Check if your setup works for other checkpoint files. Redownload the checkpoint.
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.
By the way, I followed your guidance to the previous post, and nothing you suggested worked. I am already using Python 3.11.
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?
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.
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?
first, you should use python 3.10
And xformers is not supported on mac.
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).”
you can try the
--medvram-sdxloption. But in general, support for Mac is a bit lagging.Any chance you have a version of the webui.sh script using pyenv virtualenv instead of venv?
sorry i don’t
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! =)
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
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 interrogateThanks a lot!
Interesting, I didn’t go to that page when I did the search hmmm
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.
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.
Try deleting the checkpoint file and reinstall. Make sure the file size is in GBs.
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
Same here
There are two additional steps after running brew. I added to the instructions above.
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?
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
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.
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 %
Seems to be related: https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/13159
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?
This error message is strange. You shouldn’t be loading anything from huggingface. Are you on the tx2img page in A1111?
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.
I recommend starting all over following this article.
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.
I use mac M1
What’s your MacOS version? It needs to be at least 12.3
13.4
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.
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.
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!
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!
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.
You will need macOS 12.3 or higher.
1. M1
2. Extensions folder is empty
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
Try starting with
./webui.sh --no-halfhow can i unistall properly all this things from my m1 mac?
deleting the stable-diffusion-webui folder will do.
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?
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
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 !
..Scipy
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.
Thank you for your help 🙂
https://docs.google.com/document/d/1oIrzvFlWeEeFy9TunkO11jR86hb0K5F1fDecR2RJTw8/edit?usp=sharing
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.
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
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 ^^
Can you post the full error message? there should be something informative before that.
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.
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?
The CUDA warning is normal. You don’t use CUDA on Mac.
You can try deleting the venv folder and try running it again.
It does
Thank you
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.
You can just delete the stable-diffusion-webui folder.
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)?
Unfortunately, A1111 on Mac doesn’t support SDXL yet.
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/
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.
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?
A1111 is using the M2 but perhaps less optimized for Mac. You can also try Invoke AI
SD WebUI on 16GB M1 pro chip is EXTREMELY SLOW, takes 32.5sec to generate a single image. Is this expected?
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.
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.!!!
It complains your computer cannot access github.com with https. You can try putting the that https address on a browser.
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.
Thank you!
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.