Best stable diffusion mac m2 performance reddit. Please keep posted images SFW.
● Best stable diffusion mac m2 performance reddit (i might buy a an apple or a windows one but if Stable Diffusion works on an apple laptop especially SDXL then i will What is the fastest MacOS option for StableFusion? My Intel 2019 iMac isn't M1/M2 based and so there are few options. I found the macbook Stable Diffusion runs on under 10 GB of VRAM on consumer GPUs, generating images at 512x512 pixels in a few seconds. I'm quite impatient but generation is fast enough to make 15-25 step images without too much frustration. However, if SD is Explore stable diffusion techniques optimized for Mac M2, leveraging top open-source AI diffusion models for enhanced performance. Best Stable Diffusion Models of All Time SDXL: Best overall Stable Diffusion model, excellent in generating highly detailed, realistic images. Open comment sort options. To give you some perspective it is perfectly usable, for instance I can get a 512*512 image between 15s and 30s depending on the diffuser (DDIM is faster than Euler or Karras for instance). Features. Realistic Vision: Best realistic model for Stable Diffusion, capable of generating realistic humans. I'm very interested in using Stable Diffusion for a number of professional and personal (ha, ha) applications. It has pretty good performance. My assumption is the ml-stable-diffusion project may only use CPU cores to Yeah, Midjourney is another good service but so far, WebUI with Stable Diffusion is the best. I am currently using a base macbook pro M2 (16gb + 512go) for stable diffusion. 1 torchvision==0. The Draw Things app makes it really easy to run too. 5 GHz (12 cores)" but don't want to spend that money unless I get blazing SD performance. Looking for the best laptop decision to run Table Diffusion or other softwares like After Effects or Blender. Using model Stable Diffusion 2. I need to use a MacBook Pro for my work and they reimbursed me for this one. now I wanna be able to use my phones browser to play around. I've recently experienced a massive drop-off with my macbook's performance running Automatic1111's webui. I am thinking of getting a Mac Studio M2 Ultra with 192GB RAM for our company. I've moved many deps from pip to conda-forge, to take advantage of the precompiled binaries. You should expect the very same performance on a MacBook Air M1. I convert Stable Diffusion Models DreamShaper XL1. 0 from pyTorch to Core ML. There's a thread on Reddit about my GUI where With the help of a sample project I decided to use this opportunity to learn SwiftUI to create a simple app to use Stable Diffusion, all while fighting COVID (bad idea in hindsight. I am interested in trying out the img2img script, but not sure what the syntax Stable Diffusion Benchmarked: Which GPU Runs AI Fastest (Updated) | Tom's Hardware (tomshardware. github. Sorry. My daily driver is an M1, and Draw Things is a great app for running Stable Diffusion. To the best of my knowledge, the WebUI install checks for updates at each startup. What are your experiences? I ma eying with : APPLE Macbook Pro 16" M2 Pro (2023) 12-Core CPU, 19-Core GPU, 16GB Unified Memory, 1TB SSD Storage, MNW93, Space Grey Is it worth to pay the difference for M2 chip? Got the stable diffusion WebUI Running on my Mac (M2). Comment out/remove the following line: export TORCH_COMMAND="pip install torch==1. DreamShaper: Best Stable Diffusion model for fantastical and illustration realms and sci-fi scenes. And before you as, no, I can't change it. . Much better than my m1 macmini (the unified memory on mba is 24gb so that certainly helps a lot). To optimize Stable Diffusion on Mac I'm using stable-diffusion on a 2022 Macbook M2 Air with 24 GB unified memory. 13. I'm using some optimisations on the webui_user script to get better performance /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, Is mac mini M2 base model good for stable diffusion A1111? Hi guys, im planning to get mac mini m2 base model, is it good for running automatic 1111 stable diffusion? Share Sort by: Best. Welcome to the unofficial ComfyUI subreddit. We're looking for alpha testers to try out the app and give us feedback - especially around how we're structuring Stable Diffusion/ControlNet workflows. I was stoked to test it out so i tried stable diffusion and was impressed that it could generate images (i didn't know what benchmark numbers to expect in terms of speed so the fact it could do it at in a reasonable time was impressive). maybe you can buy a Mac mini m2 for all general graphics workflow and ai, and a simple pc just for generate fast images, the rtx 3060 12 gb work super fast for ai. Download Here. However, if SD is your primary consideration, go with a PC and dedicated NVIDIA graphics card. It’s ok. Can you recommend it performance-wise for normal SD inference? I am thinking of getting such a RAM beast as I am contemplating running a local LLM on it as well and they are quite RAM hungry. But while getting Stable Diffusion working on Linux and Windows is a breeze, getting it working on macOS appears to be a lot more difficult — at least based the experiences of others. 1" and replace it with: I am currently using a base macbook pro M2 (16gb + 512go) for stable diffusion. " but where do I find the file that contains "launch" or A Mac mini is a very affordable way to efficiently run Stable Diffusion locally. So i have been using Stable Diffusion for quite a while as a hobby (I used websites that let you use Stable Diffusion) and now i need to buy a laptop for work and college and i've been wondering if Stable Diffusion works on MacBook like this one LINK TO THE LAPTOP. Recommend MochiDiffusion (really, really good and well maintained app by a great developer) as it runs natively and with CoreML models. Not a studio, but I’ve been using it on a MacBook Pro 16 M2 Max. Locked post /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, What is the best GUI to install to use Stable Diffusion locally right now? Mac is good for final retouch and image workflow in general, but for example in a normal pc with ryzen 5600 and rtx 3060 12 gb, the same generate only take 30 second. 1 SPLIT EINSUM (the default model) with "CPU and Neural Engine" as compute units, an M1 Mac mini generates a 20 steps 512x512 image in 12 seconds. I am currently setup on MacBook Pro M2, 16gb unified memory. I've looked at the "Mac mini (2023) Apple M2 Pro @ 3. I want to know if using ComfyUI: The performance is better? The image size can be larger? How can UI make a difference in speed, mem usage? Are workflows like mov2mov, infizoom possible in Might not be best bang for the buck for current stable diffusion, but as soon as a much larger model is released, be it a stable diffusion, or other model, you will be able to run it on a 192GB M2 Ultra. ). I have Automatic1111 installed. 0s/it. I've run SD on an M1 Pro and while performance is acceptable, it's not great - I would imagine the main advantage would be the size of the images you could make with that much memory available, but each iteration would be slower than it would be on even something like a GTX 1070, which can be had for ~$100 or less if you shop around. sh file in the stable-diffusion-webui folder. Though I can generate 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. I've been very successful with the txt2img script with the command below. This is only a magnitude slower than NVIDIA GPUs, if we compare with batch processing capabilities (from my experience, I can get a batch of 10-20 images generated in Hello everybody! I am trying out the WebUI Forge app on my Macbook Air M1 16GB, and after installing following the instructions, adding a model and some LoRas, and generating image, I am getting processing times up to 60min! A few months ago I got an M1 Max Macbook pro with 64GB unified RAM and 24 GPU cores. (Or in my case, my 64GB M1 Max) Some friends and I are building a Mac app that lets you connect different generative AI models in a single platform. Running this locally on my m2 macbook air from the terminal. So I'm a complete noob and I would like to request for help and guidance on what would be the best laptop to buy if I want to start using stable diffusion, especially high end uses like training models and making the video types of outputs. when launching SD via Terminal it says: "To create a public link, set `share=True` in `launch()`. But I have a MacBook Pro M2. Background: I love making AI-generated art, made an entire book with Midjourney AI, but my old MacBook cannot run Stable Diffusion. 12. The img2img tab is still a placeholder, sadly. Here’s an example of a realistic image I generated using my MBA (and the related post , if interested). A group of open source hackers forked Stable Diffusion on GitHub and optimized the model to run on Apple's M1 chip, enabling images to be generated in ~ 15 seconds (512x512 pixels, 50 diffusion steps). You also can’t disregard that Apple’s M chips actually have dedicated neural processing for ML/AI. If Stable Diffusion is just one consideration among many, then an M2 should be fine. I copied his settings and just like him made a 512*512 image with 30 steps, it took 3 seconds flat (no joke) I am benchmarking these 3 devices: macbook Air M1, macbook Air M2 and macbook Pro M2 using ml-stable-diffusion. To give you some perspective it is perfectly usable, for instance I can get a 512*512 image between 15s and 30s (20 steps) depending on the sampler method (DDIM is /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. Stable diffusion speed on M2 Pro Mac is insane! I mean, is it though? It costs like 7k$ But my 1500€ pc with an rtx3070ti is way faster. AI generated ART is extremely GPU and RAM intensive and even my M1 Max reached 100 degree If Stable Diffusion is just one consideration among many, then an M2 should be fine. diffusion bee converts stable diffusion models to a Mac version so it can fully use the Metal Performance Shaders (MPS) and all available compute chips (cpu, gpu, neural) Haven't looked into fooocus yet, my guess cpu only??? It's fine. Free & open source Exclusively for Before running it for the first time modify webui-macos-env. A1111 takes about 10-15 sec and Vlad and Comfyui about 6-8 seconds for a Euler A 20 step 512x512 generation. Please keep posted images SFW. So this is it. I see this taking about 2. I was looking into getting a Mac Studio with the M1 chip but had several people tell me that if I wanted to run Stable Diffusion a mac wouldn't work, and I should really get a PC with a nvidia GPU. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. com) SD WebUI Benchmark Data (vladmandic. io) Even the M2 Ultra can only do about 1 iteration per second at 1024x1024 on SDXL, where the 4090 runs around 10-12 iterations per second from what I can see from the vladmandic collected data. Paper: "Generative Models: What do they know? How to install and run Stable Diffusion on Apple Silicon M1/M2 Macs Tutorial | Guide stable-diffusion-art. com Open. I am benchmarking Stable Diffusion on MacBook Pro M2, MacBook Air M2 and MacBook Air M1. Also a decent update even if you were already on an M1/M2 Mac, since it adds the ability to queue up to 14 takes on a given prompt in the “advanced options” popover, as well as a gallery view of your history so it doesn’t immediately discard anything you didn’t save right away. 6 OS. These are the specs on MacBook: 16", 96gb memory, 2 TB hard drive. M1 Max, 24 cores, 32 GB RAM, and running the latest Monterey 12. Evidence has been found that generative image models - including Stable Diffusion - have representations of these scene characteristics: surface normals, depth, albedo, and shading. TL;DR Stable Diffusion runs great on my M1 Macs. Please share your tips, tricks, and workflows for using this software to create your AI art. On top of that, your M2 iPad should beat my M1 MacBook Air. mlqfcdkxmmsjgmbwsfzczbpsrsjgztlrdfelvbfamkbqdj