ckpt (TensorFlow checkpoint) or . #3. Set up a new virtual environment and install DiffusionKit: python3 -m venv diffusionkit-env. Aug 31, 2022 · Stable Diffusion Text to Image on a Mac M1 The steps below worked for me on a 2020 Mac M1 with 16GB memory and 8 cores. Again, using an Apple M1, SDXL Turbo takes 6 seconds with 1 step, and Stable Diffusion v1. (10. 最終在庫特別セールで205,000円引きで購入したApple M1 Max MacBook Pro 64GB 2TB が到着したので、セットアップして少し使ってみました。. 5. Which led me to I hear you. Assets 2. 8 seconds to generate a 512×512 image at 50 steps using Diffusion Bee in our tests on an M1 Mac Mini" But people are making optimisations all the time, so things can change. The Swift package relies on the Core ML model files generated by python_coreml_stable_diffusion. M1 Max with 10-core CPU and 32-core GPU. One really cool thing about Apple Silicon is the unified memory. c Apr 17, 2023 · Dans cet article, nous vous présenterons un guide étape par étape pour installer et utiliser Stable Diffusion sur votre Mac. Pour profiter d'une vitesse raisonnable, assurez-vous d'utiliser un Mac équipé d'une puce Apple Silicon (M1, M2 ou M3) et, idéalement, de 16 Go de mémoire ou plus. g. This is the recommended cross attention optimization to use with newer PyTorch versions. 画像生成AIのStable Diffusionがオープンソースとして公開されましたね。. It costs like 7k$. Here are some results. 5 (download link: v1-5-pruned-emaonly. --. There are 2 types of models that can be downloaded - Lora and Stable Diffusion: Stable Diffusion models have . Now, let's dive into the 3D performance of the M3 Max MacBook Pro, particularly with Hardware Ray Tracing. 0) ControlNet version: (v1. 💻 Our machine is an M1Pro with 16 GPU cores and 16GB of memory. 19. 4’ has helped resolve their errors, so there must be Jun 16, 2023 · M1 Max搭載MacBook Pro 2021到着 LightroomのAIノイズ軽減やStable Diffusionがサクサク動いて快適. The inclusion of Hardware Ray Tracing support in the M3 Max I'm able to generate images at okay speeds with a 64 GB M1 Max Macbook Pro (~2. I have updated the System to Ventura and now I get better results. Oct 1, 2022 · インストールの主な流れ. macOS computer with Apple silicon (M1/M2) hardware; macOS 12. Both GPU and RAM reached 100% while I We would like to show you a description here but the site won’t allow us. This article guides you to generate images locally on your Apple Silicon Mac by running Stable Feb 27, 2024 · The synergy between Apple's Silicon technology and Stable Diffusion's capabilities results in a creative powerhouse for users looking to dive into AI-driven artistry on their M1/M2 Macs. Khởi tạo lại môi trường conda. Install Python V3. Stable Diffusion Installation script for Apple Silicon CPU (M1, M1Pro, M2) This script will help you to install Stable Diffusion on your Mac. AI. 8 to 1. Aug 23, 2022 · M1 MacBook ProでStable Diffusionを動かすまでのメモ. Some key features of MLX include: Familiar APIs: MLX has a Python API that closely follows NumPy. For example, an M1 Air with 16GB of RAM will run it. Navigate to https://lmstudio. The snippet below demonstrates how to use the mps backend using the familiar to() interface to move the Stable Diffusion pipeline to your M1 or M2 device. Though slightly different from Windows, the installation process on Mac is user-friendly and caters to the powerful capabilities of Apple's hardware. 8 seconds to generate a 512×512 image at 50 steps using Diffusion Bee in As I type this from my M1 Mac Book Pro, I gave up and bought a NVIDIA 12GB 3060 and threw it into a Ubuntu box. 0. 探索知乎专栏，发现不同领域的精彩内容和深入讨论。 Feb 28, 2023 · Bro, I modified it as you did and this event occurred at the end of rendering an image： NotImplementedError: No operator found for memory_efficient_attention_forward with inputs: query : shape=(1, 6144, 1, 512) (torch. 5 bits (on average). Big Sur, Standard A1111: 5 min. It manages memory far better than any of the other cross attention optimizations available to Macs and is required for large image sizes. 0 Beta (22A5331f). Sep 12, 2022 · Sep 11, 2022. GMGN said: I know SD is compatible with M1/M2 Mac but not sure if the cheapest M1/M2 MBP would be enough to run? According to the developers of Stable Diffusion: Stable Diffusion runs on under 10 GB of VRAM on consumer GPUs, generating images at 512x512 pixels in a few seconds. But over the last two weeks things have improved a lot in terms of software support. Install the latest version of Python: $ python3 -V. Here are the results for the transfer learning models: Image 3 - Benchmark results - transfer learning model (image by author) Thinks don’t look good for the M1 MacBook. (2. We would like to show you a description here but the site won’t allow us. TL;DR Stable Diffusion runs great on my M1 Macs. Before proceeding, ensure your Mac meets 知乎专栏提供一个平台，让用户随心所欲地进行写作和自由表达。 Apr 5, 2023 · Et voila, vous savez désormais comment installer et utiliser Stable Diffusion 1. My assumption is the ml-stable-diffusion project may only use CPU cores to convert a Stable Diffusion Model from PyTorch to Core ML. Dec 17, 2022 · Out of the foundational models, Stable Diffusion v1. float32) key : shape=(1, 6144, 1, 512) (torch. I tested the conversion speed on macOS 14, when converting DreamShaper XL1. I've tried ending my command with ''—no-half'' and ''--precision full'' but without… Dec 1, 2022 · 本エントリーは 2022/11 末時点で書き終えていたものです。そのため 2022-12-01 にリリースされ Core ML に最適化した macOS Ventura 13. I found "Running MIL default pipeline" the Pro M2 macbook will become slower than M1. 5 & 2. 5 minutes to generate. I found the macbook Air M1 is fastest. It means that anyone can run them Dec 4, 2022 · As a Mac user, am I doomed not to be able to run Stable Diffusion as well as a Windows user would? Fear not! Today we're going to talk about Invoke AI, a full-featured Stable Diffusion fork that has an excellent Mac M1 version. 13 (minimum version supported for mps) The mps backend uses PyTorch’s . Before running the sample project, you must put the model files in the Assets/StreamingAssets directory. ckpt with all the scripts removed) and needs to be placed into the models/Stable-diffusion directory. float32) value : shape=(1, 6144, 1, 512) (torch. Was really disappointed with the early results with Stable Diffusion couldn't even get it to run initially. UPDATE: 29 Sept – Some people have shared that using ‘pip install protobuf==3. The M3 Max MacBook Pro's performance improved further when using the stable diffusion XL 8-bit model, with 30 steps taking 11 seconds compared to 55 seconds on the M1 MacBook Pro. 19 sec. Add the command line argument --opt-sub-quad-attention to use this. Increasing the adoption of on-device ML Aug 31, 2022 · Run Stable Diffusion on your M1 Mac’s GPU. Set up LM Studio for M1/M2/M3 Mac (Apple Nov 28, 2022 · Update: so yes the M1 Pro 32 GB can do 1024x1024 but it is very slow, like 2 min for 20 sampling steps with Euler a. Google Colab is significantly faster due to a dedicated GPU. 1 en local sur un Mac avec processeur M1. Sep 7, 2022. MLX also has fully featured C++, C, and Swift APIs, which closely mirror the Python API. Rename the directory to StableDiffusion. Sep 23, 2022 · Yêu cầu tối thiểu (dùng trong tutorial) Cài đặt Stable diffusion trên Apple M1. 最後還會介紹如何下載 Stable Diffusion 模型，並提供一些熱門模型的下載連結。. Here’s how to get it working: 1. 32GB unified memory (M1 Pro and M1 Max) 64GB unified memory (M1 Max) 1TB, 2TB, 4TB, or 8TB SSD Contribute to apple/ml-stable-diffusion development by creating an account on GitHub. There are 3 ways people normally recommend Mac users run Stable Diffusion locally: AUTOMATIC1111's WebUI. We recommend to “prime” the pipeline using an additional one-time pass through it. tech. This actual makes a Mac more affordable in this category Sep 3, 2023 · Diffusion Bee. brew install cmake protobuf rust. I also recently ran the waifu2x app (RealESRGAN and more) on my M1 iPad (with 16! GB RAM) and was thoroughly impressed with how well it performed, even with video. Apple's Silicon M1 and M2 Macs offer a unique environment for running Stable Diffusion. Extremely fast and memory efficient (~150MB with Neural Engine) Runs well on all Apple Silicon Macs by fully utilizing Neural Engine. But because of the unified memory, any AS Mac with 16GB of RAM will run it well. Jul 27, 2023 · Stable Diffusion XL 1. Same model as above, with UNet quantized with an effective palettization of 4. Sep 16, 2022 · Before beginning, I want to thank the article: Run Stable Diffusion on your M1 Mac’s GPU. Hardware Requirements. 0 from pyTorch to Core ML. Copy the split_einsum/compiled directory into Assets/StreamingAssets. First, you need to install a Python distribution that supports arm64 (Apple Silicon) architecture. 3. 非常に高精度な画像を生成できるとして大きな話題を呼ぶ画像生成AI「Stable A Mac mini is a very affordable way to efficiently run Stable Diffusion locally. . This repository comprises: StableDiffusion, a Swift package that developers can add to their Xcode projects as a dependency to deploy image generation capabilities in their apps. Also can have paging issues even on single images if using many loras and/controlnets at once. Fig 1: Generated Locally with Stable Diffusion in MLX on M1 Mac 32GB RAM. Homebrew – và các packages. 5 is the most popular. I'm sure there are windows laptop at half the price point of this mac and double the speed when it comes to stable diffusion. Please use float32 instead. Activate the virtualenv just created. Normally, you need a GPU with 10GB+ VRAM to run Stable Diffusion. 0 (recommended) or 1. I convert Stable Diffusion Models DreamShaper XL1. Improved attention implementation ( SPLIT_EINSUM_V2) which yields up to 30% improved Neural Engine performance. py works to create images though, so it's an issue with diffusers and not stable-diffusion I think. Testing conducted by Apple in April and May 2023 using preproduction Mac Studio systems with Apple M2 Ultra, 24-core CPU, 76-core GPU, and 192GB of RAM, preproduction Mac Studio systems with Apple M2 Max, 12-core CPU, 38-core GPU, and 96GB of RAM, production Mac Studio systems with Apple M1 Ultra, 20-core CPU, 64-core GPU, and 128GB of RAM, and Jun 19, 2023 · 以前、M1 Macbook AirにStable Diffusionをインストールしたときは結構大変でしたが、今はM1/M2 MacへのStable Diffusion web UIでのインストールがとても簡単になっています。公式サイトにかかれている通りでインストールできますが、メモを残しておきます。 This implementation is specifically optimized for the Apple Neural Engine (ANE), the energy-efficient and high-throughput engine for ML inference on Apple silicon. tunabellyso Sep 12, 2022 · Diffusion Bee is billed as the easiest way to run Stable Diffusion locally on an M1 Mac. I Can't seem to run Automatic 1111 with ControlNet on my mac. These are the results we got on a M1 Max MacBook Pro with 64 GB of RAM, running macOS Ventura Version 13. 441) Python version: (v3. But your comment with getting the lowest amount you can get away with makes a lot of sense with how tech evolves so quickly. You can run Stable Diffusion in the cloud on Replicate, but it’s also possible to run it locally. 6-bit weight compression using coremltools. M1 has an 8-core GPU, but it’s nowhere near capable as TESLA from NVIDIA. Diffusion Bee is a graphical user interface (GUI) app that comes with a one-click installer in the form of a typical Mac binary dmg package. safetensors (safe . 5 bits per parameter. Un guide sera bientôt disponible sur notre site pour apprendre à utiliser Stable Diffusion plus en détail. . (M1) and iPhone 13 Pro Max despite identical diffusion speed. Configure your MacBook Pro with these options at apple. You need Python 3. Dec 9, 2022 · They said they could generate an image with M1 Ultra 48-core GPU within 13 seconds. It is by far the cleanest and most aesthetically pleasing app in the realm of Stable Diffusion. Compare. You also can’t disregard that Apple’s M chips actually have dedicated neural processing for ML/AI. It takes a long time (a few minutes) for the first run. Back then though I didn't have --upcasting-sampling Sep 4, 2022 · python3 -m virtualenv venv. 10. 画像生成に必要な weight の取得 Mar 4, 2024 · Stable Diffusion WebUI version: (v1. Multilingual text encoder support. ckpt) Stable Diffusion 2. 5 takes 41 seconds with 20 steps. sh file I posted there but I did do some testing a little while ago for --opt-sub-quad-attention on a M1 MacBook Pro with 16 GB and the results were decent. How to Install Stable Diffusion on Mac. M1 Pro with 10-core CPU and 16-core GPU. All rights belong to its creators. if I don't specify revision and torch_dtype. The speed on AUTOMATIC1111 is quite different. 2022/08/24. Tải file lưu model về trước. 0 base, with mixed-bit palettization (Core ML). I bought my M1 Max because Apple kept on going on about how this was the best for machine learning and so on. As a comparison my 3080 can do 2048x2048 in about the same time. 1 Beta 4 への言及はなく、Apple が GitHub で公開している apple/ml-stable-diffusion で Stable Diffusion を動かしているわけではありません。 Feb 29, 2024 · Thank you so much for the insight and reply. Clone or download the pre-converted Stable Diffusion 2 model repository. 4 (download link: sd-v1-4. 最初 apple/ml-stable-diffusion に従ってPython環境を構築し、モデルを手元で変換して、プログラムを実行して画像を生成していたのですが、めっちゃ簡単な方法を見つけたので Mar 9, 2023 · 本文將分享如何在 M1 / M2 的 Macbook 上安裝 Stable Diffusion WebUI。. miniconda で Stable Diffusion が依存するモジュールをインストールする. 2. ai/ and download the version which suits your machine. The benchmark table is as below. Can’t test it with Diffusion Bee as it has a max of 768x768. Sep 6, 2022 · The $300 GPU -vs- Apple’s $2000 Macbook running Stable diffusion 3 Recently Stability AI released its newest open source model — Stable Diffusion 3 medium. Intel's Arc GPUs all worked well doing 6x4, except the Nov 30, 2023 · Stable Diffusion v1. 首先會提供一些 Macbook 的規格建議，接著會介紹如何安裝環境，以及初始化 Stable Diffusion WebUI。. Apr 14, 2023 · ただ、消費電力こそM1 MacBook Airの方が有利ですが、生成速度やパソコンの価格はNVIDIAグラボ搭載PCの方が有利です。 また、WindowsのほうがStable Diffusionの代表的な環境であるWebUIを使えます。（Macでも使えるようです。） どちらを選ぶべきか？ Oct 23, 2023 · I am benchmarking these 3 devices: macbook Air M1, macbook Air M2 and macbook Pro M2 using ml-stable-diffusion. Generate images locally and completely offline. Diffusion Bee epitomizes one of Apple’s most famous slogans: it just works. 2s on my machine, e. À voir aussi : Comment installer Llama CPP (Meta) en local sur un Mac (Apple Silicon M1) Avec l Oct 10, 2022 · 5,392. Each inference step takes about ~4. 0 cutlassF is not supported because Mar 7, 2023 · Step-by-Step Guide,Running,Stable Diffusion,Apple Silicon,m1,m1 pro, macbook,m1 max,m2,m2 pro,m2 max According to some quick google-fu, M1 Max is 3X slower than a 3080 12GB on Stable Diffusion, and according to Apple's press release, the M3 Max is 50% faster than the M1 Max, which means it's still slower than a 3080 12GB. Github repo: https://github. パッケージはとてもコンパクトですね。. 10 or higher. Chạy stable diffusion lần đầu Oct 20, 2023 · I am benchmarking Stable Diffusion on MacBook Pro M2, MacBook Air M2 and MacBook Air M1. 0 and 2. 4 GB, a 71% reduction, and in our opinion quality is still great. Discover a platform for free expression and creative writing on 知乎专栏. Clone repo về – chuẩn bị project. com: M1 Pro with 10-core CPU and 14-core GPU. Stable Diffusion/AnimateDiffusion from what I've been reading is really RAM heavy, but I've got some responses from M1 Max users running on 32GB of RAM saying it works just fine. 768x768 is a lot more usable on my Mac at like 45 sec. With its custom ARM architecture, Apple's latest chipsets unleash exceptional performance and efficiency that, when paired with Stable Diffusion, allows for Aug 31, 2023 · Same stable Automatic1111 Stable Diffusion with same settings. Stable Diffusion 1. Yeah, Midjourney is another good service but so far, WebUI with Stable Diffusion is the best. Additional UNets with mixed-bit palettizaton. Stable Diffusion is open source, so anyone can run and modify it. Jan 21, 2023 · I used Automatic1111's WebUI Stable Diffusion with a lot of models. But my 1500€ pc with an rtx3070ti is way faster. 1件. 1 (23C71) CPU: Apple M1 Max Memory: 64GB. 0, the speed is M1 > M2 > Pro M2 These are the results we got on a M1 Max MacBook Pro with 64 GB of RAM, running macOS Ventura Version 13. Mixed-bit palettization recipes, pre-computed for popular models and ready to use. This is a temporary workaround for a weird issue we have detected: the first inference pass produces Generating a 512x512 image now puts the iteration speed at about 3it/s, which is much faster than the M2 Pro, which gave me speeds at 1it/s or 2s/it, depending on the mood of the machine. Size went down from 4. Miniconda – và các dependencies. Python 3. ckpt) Stable Diffusion 1. We'll test out Large Language Model token generation, image creation wit Nov 9, 2022 · Check this article in the Huggingface Diffusers library to get up to speed! The CoreML effort on porting the PyTorch code, really speeds things up! Here we'll use the Diffusers implementation and some tweaks to make it run faster on Apple hardware. pipeline for macOS devices and a minimal Swift test app built on the StableDiffusion Swift package for iOS and iPadOS devices. I don't know exactly what speeds you'll get exactly with the webui-user. I made my article by adding some information to that one. Once this done - restart Web-UI and choose the model from the dropdown menu. Stable Diffusion が依存しているモジュールを取得. The most Dec 15, 2023 · AMD's RX 7000-series GPUs all liked 3x8 batches, while the RX 6000-series did best with 6x4 on Navi 21, 8x3 on Navi 22, and 12x2 on Navi 23. 如果你從來沒有接觸過 Nov 11, 2022 · I ran stable diffusion on my Apple Silicon M1 Max MacBook Pro using a project called Diffusion Bee. 86s/it) Ventura, Standard A1111: 1 min. 14s/it) Ventura, Standard A1111: Slartibarts link 1 min. Features. By comparison, the conventional method of running Stable Diffusion on an Apple Silicon Mac is far slower, taking about 69. 0 or later recommended) arm64 version of Python; PyTorch 2. It's slow but it works -- about 10-20 sec per iteration at 512x512. 1. So, SDXL Turbo is still slower. Jun 11, 2023 · The most user-friendly and by far easiest method of installing Stable Diffusion on your Mac OS is to use the Diffusion Bee installer. Cài đặt phần mềm. 6. 8. It takes care of installing all dependencies for you and provides a menu to launch a Web UI, run in your terminal, or Upscale photos to High Definition format. Aug 29, 2023 · A comparison of running Stable Diffusion Automatic1111 on - a Macbook Pro M1 Max, 10 CPU / 32 GPU cores, 32 GB Unified Memory- a PC with a Ryzen 9 and an NVI Dec 26, 2023 · Dec 26, 2023. M1 Max with 10-core CPU and 24-core GPU. Dec 9, 2023 · Install & Set up LM Studio for Apple Silicon Download LM Studio. As well as generating predictions, you can hack on it, modify Getting Stable Diffusion to Work on an Apple M1 Max - GitHub - Spcman/stable-diffusion-m1: Getting Stable Diffusion to Work on an Apple M1 Max I've got the lstein (now renamed) fork of SD up and running on an M1 Mac Mini with 8 GB of RAM. 6 or later (13. There's no need to mess with command lines, complicated interfaces, library installations, intricate settings, or ugly GUIs. AI generated ART is extremely GPU and RAM intensive and even my M1 Max reached 100 degree celsius, had loud fan noise, and consume a lot of power. Here are the steps to install Stable Diffusion using Diffusion Bee: Going forward --opt-split-attention-v1 will not be recommended. Afterwards whenever you want to run Stable Diffusion you will need to run this. 5 iterations per second), and a bit more sluggishly on an 8GB M1 iMac (~ 3 seconds per iteration). apple/coreml-stable-diffusion-mixed-bit-palettization contains (among other artifacts) a complete pipeline where the UNet has been replaced with a mixed-bit palettization recipe that achieves a compression equivalent to 4. But the M2 Max gives me somewhere between 2-3it/s, which is faster, but doesn't really come close to the PC GPUs that there are on the market. 11) Operating system: macOS 14. Jun 18, 2024 · DiffusionKit is a CLI tool that lets you run SD3 using Python MLX. New benchmarks for iPhone, iPad and Mac. We performed Stable Diffusion text-to-image generation of the same prompt for 50 inference steps, using a guidance scale of 7. But it seems that Apple just simply isn Jun 27, 2023 · Apple have released resources for running Stable Diffusion natively on Apple Silicon - This is a native Apple Core ML implementation on Apple Silicon. , 1 512x512 image with 50 steps takes 3. It’s another way to run SD3, like we did above, but without cloning the SD3 repository and setting up the environment manually. homebrew で必要なソフトウェアのインストール. 2022/08/23に公開. That’s what has caused the abundance of creations over the past week. float32) attn_bias : <class 'NoneType'> p : 0. to() interface to move the Stable Diffusion pipeline on to your M1 or M2 device: Mar 17, 2022 · As you can see, the M1 Ultra is an impressive piece of silicon: it handily outpaces a nearly $14,000 Mac Pro or Apple’s most powerful laptop with ease. MLX is an array framework for machine learning research on Apple silicon, brought to you by Apple machine learning research. Question: How can I resolve this issue? Is there a known issue with OpenPose on Apple M1 Max machines? Are there any alternative OpenPose models that I can use? Dec 3, 2022 · In this video I'll show how to run the Pytorch to CoreML tool on Apple Silicon Macs, to convert and run Stable Diffusion models. And they didn't even use the swift package and neural engine! The executed program is python_coreml_stable_diffusion. Nov 26, 2023 · This is a step by step tutorial on how to install stable diffusion ai comfyui on apple Mac OS How to Install ComfyUI on Mac OS M1, M2, M3 | Stable Diffusion. MLX has higher-level packages like We would like to show you a description here but the site won’t allow us. さっそく動かしてみたいなと思って触ってみることにしましたが、手元にあるのはMacBook Aug 23, 2022 · On an M1 (not M1 Max) I get TypeError: Cannot convert a MPS Tensor to float64 dtype as the MPS framework doesn't support float64. Diffusion Run Stable Diffusion on Apple Silicon with Core ML. source venv/bin/activate. STEP1. It will help developers minimize the impact of their ML inference workloads on app memory, app responsiveness, and device battery life. AUTOMATIC1111. If not, proceed the STEP2. However trying to train/finetune models locally on a Mac is currently quite the headache, so if you're intending to do training you'd definitely be far better off with In this video I put my new MacBook Pro with the highest-end M3 Max chip to the test. 64s/it) Looks like the neural engine is not in use High-performance image generation using Stable Diffusion in KerasCV with support for GPU for Macbook M1Pro and M1Max. Apple's Core ML Stable Diffusion implementation to achieve maximum performance and speed on Apple Silicon based Macs while reducing memory requirements. The script python scripts/txt2img. 1. 40 sec. This is due to the larger size of the SDXL Turbo model. The Draw Things app makes it really easy to run too. I do run into memory limits when trying to do things like animatediff at higher resolutions - basically working on batches of images as opposed to singles. Feb 1, 2023 · Sub-quadratic attention. A Zhihu column where individuals can freely express themselves through writing. Stable Diffusion. My 32GB M1 max is mostly fine with speeds as mentioned - M3 Max ought to be about 2x speed roughly. Sep 2, 2022 · 画像生成AI「Stable Diffusion」をM1搭載Macのローカル上で実行する方法. 5 takes 35 seconds with 20 steps. I copied his settings and just like him made a 512*512 image with 30 steps, it took 3 seconds flat (no joke) while it takes him at least 9 seconds. Stable Diffustion のソースコードを取得. Get TG Pro: https://www. I can generate a 20 step image in 6 seconds or less with a web browser plus I have access to all the plugins, in-painting, out-painting, and soon dream booth. (3. It's a one-click installer hosted on GitHub that runs Stable Diffusion locally on the computer. 47 sec. 1 require both a model and a configuration file, and image width & height will need to be set to 768 or higher when generating images: Feb 22, 2023 · M1 MacでStable Diffusionしたい人が試すときの一番簡単で高速な方法（M1 Mac GPUでの実行）. With WW Dec 2, 2022 · By comparison, the conventional method of running Stable Diffusion on an Apple Silicon Mac is far slower, taking about 69.
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