Best stable diffusion mac m1 reddit. Suggestions? Going to get an M2 nvme for storage.

Best stable diffusion mac m1 reddit runs solid. Downsides: closed source, missing some exotic features, has an idiosyncratic UI. I'm quite impatient but generation is fast enough to make 15-25 I am benchmarking these 3 devices: macbook Air M1, macbook Air M2 and macbook Pro M2 using ml-stable-diffusion. Download the following manually and place them in to their corresponding folder and rename the file as necessary. That did not work. The Draw Things app makes it really easy to run too. DreamShaper: Best Stable Diffusion model for fantastical and illustration realms and sci-fi scenes. Among the several issues I'm having now, the one below is making it very difficult to use Stable Diffusion. Stable requires a good Nvidia video card to be really fast. Up until now, I've exclusively run SD on my personal computer at home. Hi, I am trying to pace my updates about the app posted here so it didn't clutter this subreddit. I2P provides applications and tooling for communicating on a privacy-aware, self-defensed, distributed network. So I am capable of doing some tech stuff! Not sure what I am doing wrong. sh? I made the mistake to install Automatic1111 in sudo so now everything needs to be run in sudo as well. com. I'm running an M1 Max with 64GB of RAM so the machine should be capable. If you take 10 minutes to generate a few images Stable Diffusion uses Pytorch and Pytorch has an experimental Metal backend, so I don't expect Stable Diffusion to be very fast on Apple hardware. I can't add/import any new models (at least, I haven't been able to figure it out). 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. I then tried running the ComfyUI with the python main. In my opinion both the best Python solution on a Mac, and the best interface for SD currently available. I know Macs aren't the best for this kind of stuff but I just want to know how it performs out of curiosity. 5 768x768: ~22s SD1. It works fine, but the GPU load is huge (around Invoke AI. Everything from the parameter boxes to the image output to the tab navigation has been either overhauled or tweaked. Rather, how fast your generations are completed is determined by your hardware. I had to do a bit more tweaking than in your video. Hey, I was wondering if anyone has gotten SDXL turbo to run on the m1 Mac. I agree that buying a Mac to use Stable Diffusion is not the best choice. I ran into this because I have tried out multiple different stable-diffusion builds and some are set up differently. Overall, DiffusionBee is a fantastic app to get started with Stable Diffusion on the Mac. 0) brings iPad support and Stable Diffusion v2 models (512-base, 768-v, and inpainting) to the app. 4 and above, runs Stable Diffusion from 1. 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. . I'm glad I did the experiment, but I don't really need to work locally and would rather get the image faster using a web interface. Has any other Mac user successfully got ComfyUI got it Posted by u/Consistent-Ad-2454 - 2 votes and 14 comments Could someone guide me on efficiently upscaling a 1024x1024 DALLE-generated image (or any resolution) on a Mac M1 Pro? I'm quite new to this and have been using the "Extras" tab on Automatic1111 to upload and upscale images without entering a prompt. TL;DR Stable Diffusion runs great on my M1 Macs. The first image I run after starting the UI goes normally. Unfortunately, the txt2vid function doesn't work for me psst, download Draw Things from the iPadOS store and run it in compatability mode on your M1 MBA. just tried on my SD local install (M1 Mac 8gb/Sonoma 14) I still see the "no xformers module" line - testing renders now and I want to say I see a bit of a speed difference, but maybe that's because I want to lol. Any tutorial that worked for you?. 5, MiniSD and Dungeons and Diffusion models; i was getting about 1,5 it/s without xformers, and just 5 it/s with, toms hardware says my gpu should get to about 11 with xforms, i got 8 it/s yesterday after a clean install, but it dopped back to low speeds. For people who don't know: Draw Things is the only app that supports from iPhone Xs and up, macOS 12. Been playing around with Facefusion for a couple of months now. The developer is very active and involved, and there have been great updates for compatibility and optimization (you can even run SDXL on an iPhone X, I believe). It's slow but it works -- about 10-20 sec per iteration at 512x512. I would appreciate any feedback, as I worked hard on it, and want it Researchers discover that Stable Diffusion v1 uses internal representations of 3D geometry when generating an image. My daily driver is an M1, and Draw Things is a great app for running Stable Diffusion. Pretty sure it assumes you're running bash, or at least have access to bash. M1 is for sure more efficient, but it can't be cranked up to power levels and performance anywhere near a beefy cpu/gpu. Welcome to the unofficial ComfyUI subreddit. I’d be interested to see if it’s possible to run it in some way. It does a solid job, definitely runs faster with CoreMLbut I'm curious if this app is taking advantage of the hardware encoding, as I I'll post the output in the thread, but as a non-python person I don't know how to resolve these things. But I've been using a Mac since the 90s and I love being able From a quick search it seems that you can install comfy UI on a Mac. I remember having to reconstruct that, but last time I tried to install it tanked on some dependency and I am not home where I can grab a copy for you. next (comparable to A1111) and ComfyUI with SDXL 0. Running the UI (both Comfy and A1111) is just one command. A few more things since the last post to this sub: Added Anything v3, Van Gogh, Tron Legacy, Nitro Diffusion, Openjourney, Stable Diffusion v1. I've had two prior A1111 installations 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. I find Background: I love making AI-generated art, made an entire book with Midjourney AI, but my old MacBook cannot run Stable Diffusion. I am very new to DreamBooth and Stable Diffusion in general and was hoping someone might take pity on me and help me resolve the issue outlined in the attached image. but i'm not sure if this works on MacOS yet. Go to your SD directory /stable-diffusion-webui and find the file webui. However, it seems like the upscalers just add pixels without adding any detail at all. I only tried automatic 1111, but I'd say that comfy UI beats it if you like to tinker with workflows. I know this is a stupid question, but I´m failling to find the answer. I have InvokeAI and Auto1111 seemingly successfully set up on my machine. You're much better off with a pc you can stuff a bunch of m2 drives and shitloads of ram in. For Stable Diffusion, the requirement are far higher and it specifies to not use an intel based cpu. I know it's slower so games suffer, but it's been a godsend for SD with it's massive amount of VRAM A subreddit for information and discussions related to the I2P (Cousin of R2D2) anonymous peer-to-peer network. Highly interactive, easy to use installer. ). Same with invoke. Anybody know how to successfully run dreambooth on a m1 mac? Or Automatic1111 for that matter but at least there’s DiffusionBee rn Looking to build a pc for stable diffusion. Posted by u/DistractedPlatypus - 2 votes and 2 comments For serious stable diffusion use, of course you should consider the M3 Pro or M3 Max chips in Pro devices with fans, but for a fanless thin and light laptop, this performance is mind blowing and honestly. I haven't dialed it in just right yet hahah. While the results are not as robust as with other applications of Stable Diffusion like AUTOMATIC1111 and InvokeAI, it's I have been running stable diffusion out of ComfyUI and am doing multiple loras with controlnet inpainting at 3840X3840 and exporting an image in about 3 minutes. Mochi Diffusion crashes as soon as I click generate. I really want to do this on my Mac but diffusion bee seems broken (can't import new models). Pretty sure I want a Ryzen processor but not sure which one is adequate and which would be overkill. However, I've noticed a perplexing issue where, sometimes, when my image is nearly complete and I'm about to finish the piece, something unexpected happens, and the image suddenly gets ruined or distorted. 2, we made a partnership with civitai. 7 or it will crash before it finishes. wish i can load multiple models at once. com can be imported into Draw Things app with one click! If the model already exists locally with the same name, it will ask you to Don't get a mac haha. The latter generates an image with the base model in 1min15s - 1min25s. 9 on a M2 Max 96GB RAM. Use the installer instead if you want a more conventional folder install that runs in a web browser. 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 A Mac mini is a very affordable way to efficiently run Stable Diffusion locally. It’s fast, free, and frequently updated. The download should work (it works on mine, and I’m still on Monterey). You could spent a ton of money for a 24GB vram card, but that will mostly just allow you to increase your batch size. The speed gain of using LCM is definitely a significant boost at the same number of steps, but when taking into account that fewer steps are Hi, I tried to generate an image that made my Mac M1 freeze and restart. If I have a set of 4-5 photos and I'd like to train them on my Mac M1 Max, and go for textual inversion - and without Hey! Thank you for the great work! I've been waiting for an app that feels at home on the Mac. Computer Programming Best Stable Diffusion Models of All Time SDXL: Best overall Stable Diffusion model, excellent in generating highly detailed, realistic images. Currently running it on a MacBook M1 Pro. Which led me to The Draw Things app is the best way to use Stable Diffusion on Mac and iOS. For PC questions/assistance. On my Mac Studio m1 it installed fine the first time because there were no previous versions of python. I convert Stable Diffusion Models DreamShaper XL1. Wonder if that could be the issue, but if I change anything in the EDIT: And then it required some work arounds for some of the stable diffusion code, no idea if those were added to Auto1111. 5GB of VRAM to generate a 512x768 image (and less for smaller images), and is compatible with Windows/Linux/Mac (M1 & M2). command, the windows stays stuck at "Password: [key icon]" and does not save and complete the session automatically as the website shows. Reply reply More replies More replies swittk Posted by u/mekaonee - 3 votes and 25 comments Mac M1 Sonoma Issues Question - Help Hi, i just upgrade my Macbook M1 from Ventura to Sonoma, but my A1111 got fuckup many errors when i try to run some prompt i deleted all and re installed but the same keeps happed, this is an example. What's the best stable diffusion client for base m1 MacBook air? Question | Help I'm currently using DiffusionBee and Drawthings as they're somewhat fast that Automatic1111. 5 512x512: ~10s SD1. It's not the standard approach mixing generation and image to image working on one image as a project. Download Here. Hey everyone! I'm happy to announce the release of InvokeAI 2. The script is a little awkward TBH. Since those no longer work, we now provide information about and support for all YouTube client alternatives, primarily on Android, but also on other mobile and desktop operating systems. Features. I'm worried about using it since I don't want to damage my laptop. From what I know, the dev was using a swift translation layer, since they were working on it Invoke AI has most if not all the features missing, but it says a M1 chip is needed. The biggest factor for SD is VRAM. It's fine. I have successfully installed Automatic1111 and have been running that for some time. This community has shut down and will not grant access requests during the protest. You can run SD on a mac, i have tried it on an m2 max and my OG m1. Please share your tips, tricks, and workflows for using this software to create your AI art. I got it working after cleaning that up. I've researched but couldn't find a solution yet. I wanted to see if it's practical to use an 8 gb M1 Mac Air for SD (the specs recommend at least 16 gb). When asking a question or stating a problem, please add as much detail as possible. 0. 5 512x512 -> hires fix -> 768x768: ~27s SDXL 1024x1024: ~70s I'll root for the Ui-UX fork by Ananope. I bought it and played around with it a little on an M1 Mac Mini 8GB. So, regardless, u/stephane3Wconsultant. You have to know how to write some python to tell your mac to use I wanted to toy with Stable Diffusion with the [DiffusionBee](https://diffusionbee. /webui. The instructions for Apple Silicon worked fine for me, so I guess they should work on any M1/M2 Mac. Are you using diffusion bee in this tutorial? I'm only a couple of days into my AI art journey so I still have a lot to learn. Apple's CoreML implementation of stable diffusion puts M1 Max at roughly 3x slower than the desktop RTX 3080, which is a decent result. can someone help us Thanks so much 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´ve closed it and now I don´t know how to reopen it. Remember, apple's graphs showing how great their chip is relative to intel/nvidia, are relative to power window. Then I managed to get Dreambooth installed. **Please do not message asking to be added to the subreddit. When I try using it with comfy ui, python always crashes. Helpppp!!!!! Hi guys, I have tried to install Pinokio, when I try to open patch. 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! I'm using a MacBook Pro 16, M1 Pro, 16G RAM, use a 4G model to get a 512*768 pic, but it costs me about 7s/it ,much more slower than I expect. It works fine, but the GPU load is huge (around 80% or more). Hello! Happy new year! In Draw Things 1. /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. I'm running A1111 webUI though Pinokio. Posted by u/vasco747 - 1 vote and no comments View community ranking In the Top 1% of largest communities on Reddit. This mac probably shines elsewhere, like video editing maybe, but as far as AI goes, it seems very weak for that 7k$ M1-Specific Considerations: If you are using an M1 Mac, make sure you have a version of PyTorch that supports the M1 architecture. com such that the models you saw on civitai. I've been using the WebUI Automatic1111 Stable Diffusion on my Mac M1 chip to generate image. 0 - A Stable Diffusion Toolkit, a project that aims to provide enthusiasts and professionals both a suite of robust image creation tools. If you’re going to splurge on raising one of the specs, RAM is a good one — you can buy external storage later, but you can’t install more RAM into the SoC. I built a PC desktop for myself last summer to use for Stable Diffusion, and I haven't regretted it. Currently using an M1 Mac Studio. I am currently using SD1. Your step-by-step of the missing elements was just the magic needed. Some personal benchmarks (30 steps, DPM++ 2M Karras): MBP M1 Max, 32gb ram, Draw Things SD1. If you follow these steps in the post exactly that's what will happen, but I think it's worth clarifying in the comments. I found the macbook Stable Diffusion runs like a dog on a 16GB M1 Air. My old 6GB 1060 was able to produce images with no problem at the default resolution, but struggled a bit with higher resolutions, and was only able to do 1 image at a time. com/) app. Free & open source Exclusively for 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. i'm currently attempting a Lensa work around with image to image (insert custom faces into trained models). Posted by u/Any-Winter-4079 - 148 votes and 163 comments yeah RunPod is great. 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). For using terminal in general, I don't have any specific tutorial, but a few tips. There are Mac users on the dev team so reported solutions will get handled, though it may I'm a photographer hoping to train Stable Diffusion on some of my own images to see if I can capture my own style or simply to see what's possible. Also DiffusionBee lacks features such as being able to specify a seed. Reply reply After I posted the video I noticed that I'd said that it takes 10mins to generate. I have followed tutorials to install SD, I am not proficient at coding. A 8GB M1 Mac Mini dedicated just for running a 7B LLM through a remote interface might work fine though. Use whatever script editor you have to open the file (I use Sublime Text) You will find two lines of codes: 12 # Commandline arguments for webui. 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. I don’t know why it didn’t work and since I have no knowledge in this field I just gave up. Earlier today I added a Mac application that runs my fork of AUTOMATIC1111’s Stable Diffusion Web UI. It already supports SDXL. I did a comparison of the impact of using LCM on quality and speed of images generated. Well maybe then, you should recheck. The latest update (1. 20221231. M1 Max, 24 cores, 32 GB RAM, and running the latest Monterey 12. I've got Stable Diffusion working on my Mac Studio. Do you think it is still possible to run it on a Mac M1 Pro?Are there some other alternatives than buying an Ubuntu with a Nvidia GPU equiped computer? Apple computers cost more than the average Windows PC. Optimized for efficiency, InvokeAI needs only ~3. The GNOME Project is a free and open source desktop and computing platform for open platforms like Linux that strives to be an easy and elegant way to use your computer. twice as fast as Diffusion bee, better output (diffusion bee output is ugly af for some reason) and has better samplers, you can get your gen time down to < 15 seconds for a single img using Euler a or DPM++ 2M Karras samplers at 15 steps. Check for M1-specific solutions on forums like PyTorch Discussions [ 4 ][ 8 ]. Can it overheat? 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 think the main the is the RAM. Hey everyone, Tried everything and still can’t use Stable Diffusion on my computer. To the best of my knowledge, the WebUI install checks for updates at each startup. I know this question is asked many times before but there are new ways popping up everyday. You have proper memory management when switching models. Possibly you may have be using SDXL and doing the testing before the fixed vae was avaiiable maybe, that caused all 11 votes, 21 comments. I installed it using Stability Matrix. 0 from pyTorch to Core ML. The interface is nice and adheres to Mac interface practices much better than DiffusionBee's. ** ‌ /r/mozilla and /r/firefox, and 7000+ others, have gone private as part of the coordinated protest against Reddit's exorbitant new API changes, and unprofessional response to the community's concerns regarding 3rd party apps, mod I have been trying to run stable diffusion locally on my m1 mac and no matter what I've tried to get it to work, /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, Best. Why I bought 4060 Ti machine is that M1 Max is too slow for Stable Diffusion image generation. I was wondering if someone is also having this or if anyone knows how to fix this. I've not gotten LoRA training to run on Apple Silicon yet. Because M1/M2 Mac's use shared memory: the more (RAM) they have, the better it is for Stable Diffusion on Mac. ? or am i The #1 Ultima Online community! r/UltimaOnline is a group of players that enjoy playing and discussing one of the original MMORPG—UO—in its official and player supported form. While other models work fine, the SDXL demo model Skip to main content There’s not much and even Kohya ss doesn’t work very well on Mac. The pipeline always produces black images after loading the trained weights (also, the training process uses > 20GB of RAM, so it would spend a lot of time swapping on I've got the lstein (now renamed) fork of SD up and running on an M1 Mac Mini with 8 GB of RAM. 5s/it 512x512 on A1111, faster on diffusion bee. comments The next step for Stable Diffusion has to be fixing prompt engineering and applying multimodality. So how can I use Stable Diffusion locally? I watched couple videos, some says download this app bla bla, others use the terminal and so on. I’ve always been attracted to AI image generation and few months ago I tried to make Stable Diffusion run on my mac but I failed. Its the guide that I wished existed when I was no longer a beginner Stable Diffusion user. py, for example: export COMMANDLINE_ARGS="--medvram --opt-split-attention" 13 #export COMMANDLINE_ARGS="" im running it on an M1 16g ram mac mini. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, What is the best GUI to install to use Stable Diffusion locally right now? anyone tried running dreambooth on an M1? i've got an M1 Pro, was looking to train some stuff using the new dreambooth support on webui. It's worth noting that you need to use your conda environment for both lstein/stable-diffusion and GFPGAN. With the large amount of ram packed in the m2/m3's you can probably do some fun things though. If you have a specific Keyboard/Mouse/AnyPart that is doing something strange, include the model number i. Any idea why it breaks Stable Diffusion when I modify run_webui_mac. I have problems using xl models in my mac m1. However, since I have plenty of downtime during work hours, I'm eager to Thanks, you're a lifesaver! — My 1111 install has been down for nearly two weeks, and the new Github repo instructions didn't fix the errors, either. I am on a M1 Max with the most recent O/S update for Ventura. Proceeding without it. I have an M1 Pro MBP with 16 GB of RAM, and it’s been doing well for itself. All of the models require the same amount of “work” to run. Open comment sort options I wanted to toy with Stable Diffusion with the DiffusionBee app. This is only true right at the beginning because I was doing a cold start. The 3060 is insane for it's class, it has so much Vram in comparisson to the 3070 and 3080. It’s not as powerful or flexible but you’ll be up and running in minutes. Hello, I'm new newbie, so I apologize if this topic has already been discussed. I have to buy a new computer and need a Mac, just was wondering if there was one that would perform decently with Stable Diffusion. How's the performance of Stable Diffusion on the M1 8GB Chip? My current GPU can't run stable diffusion unfortunately. Checked a few tutorials, but on the process it gives me errors, tried to update to python3 but still getting errors. ComfyUI straight up runs out of memory while just loading the SDXL model on the first run. Currently, you can search it up on the Mac App Store on the Mac side and it should show up. It's a complete redesign of the user interface from vanilla gradio with a big focus on usability. best mac m1 apps for sd? i want to inpaint. I’ve dug through every tutorial I can find but they all end in failed installations and a garbled terminal. 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. Hey hey. I'm using SD with Automatic1111 on M1Pro, 32GB, 16" MacBook Pro. 1 ; Any help This community was originally created to provide information about and support for the discontinued Vanced apps on Android. Previously, I was able to efficiently run my Automatic1111 instance with the command PYTORCH_MPS_HIGH_WATERMARK_RATIO=0. I would rather use Stable Diffusion Web UI/UX which works out of the box on the Mac M1. Works great on my M1 MBP - not as well as the PC version of Automatic, but the best Mac environment I've tried so far. sh --precision full --no-half, allowing me to generate a 1024x1024 SDXL image in less than 10 minutes. The same amount of time is necessary for the refiner model to do the second pass. Should work on most M-series chips. I have both M1 Max (Mac Studio) maxed out options except SSD and 4060 Ti 16GB of VRAM Linux machine. It installs via a DMG like every other decent Mac app: https://diffusionbee. Installed Forge alongside A1111 on M1 mac works well, how do I cross share models/checkpoints. I have a Mac Mini M2 (8GB) and it works fine. 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. You should expect the very same performance on a MacBook Air M1. I need to upgrade my Mac anyway (it's long over due), but if I can't work with stable diffusion on Mac, I'll probably upgrade to PC which I'm not keen on having used Mac for the last 15 years. 3i/ts without crashing with errors about half or float32 or whatever. I have an M1 Macmini (16GB RAM, 512GB SSD), but even on this machine, python sometimes tries to request about 20GB of memory (of course, it feels slow). It’s important to note here that realism is not achieved by your hardware. What board would you all recommend? Would a 4090 make a big difference over a 3090? Ugh. py. 7 . Hi everyone! I'm new to stable diffusion and I'd like to create my own Disney characters in this style using image to image trace Something is not right here. Hi all, Looking for some help here. sh. 6. If I set the Depth model in the Deforum 3D settings to Adabins and set the sampler to bilinear rather than bicubic, I can get it going at around 1. The installation process may seem complicated, but it's just a few commands that you copy and paste. pretty much. Hello everyone, I recently had to perform a fresh OS install on my MacBook Pro M1. I think Macs have the ability to access an external GPU? I wonder if people have tried that. Hi. 5 based models, Euler a sampler, with and without hypernetwork attached). I think I managed to get it going by using the brkirsh installer. This ability emerged during the training phase of the AI, and was not programmed by people. Realistic Vision: Best realistic model for Stable Diffusion, capable of generating realistic humans. It now supports all models including XL, VAE, loras, embedding, upscalers and refiner . So, I'm wondering: what kind of laptop would you recommend for someone who wants to use Stable Diffusion around midrange budget? There are two main options that I'm considering: a Windows laptop with a RTX 3060 Ti 6gb VRAM mobile GPU, or a MacBook with a M2 Air chip and 16 GB RAM. Posted by u/david8840 - No votes and no comments I dont think you need such a expensive Mac, a Studio M2 Max or a Studio M1 Max should have the same performance in generating Times (wild guess, but its up to you). if this was the only device I had to use for stable diffusion image generation, then I wouldn't have mind it too much. I use both SD. - so img2img and inpainting). e. Hi, is possible to run stable diffusion with automatic1111 on a mac m1 using its gpu? Some friends and I are building a Mac app that lets you connect different generative AI models in a single platform. If you are looking for speed and optimization, I recommend Draw Things. 5 on my Apple M1 MacBook Pro 16gb, and I've been learning how to use it for editing photos (erasing / replace objects, etc. I´ve just installed stable diffusion on my mac , it worked perfectly. I had a lot of trouble trying to get it to install locally on my Mac mini m1 because I had the wrong version of python. Essentially, I think the speed is excruciatingly slow on that machine. I have a M1 so it takes quite a bit too, with upscale and faceteiler around 10 min but ComfyUI is great for that. i have models downloaded from civitai. If I open the UI and use the text prompt "cat" with all the default settings, it takes about 30 seconds to Hi folks, I've downloaded Stable Diffusion onto my Mac M1 and everything has worked great. 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. Paper: "Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model". 20221127. However, if SD is your primary consideration, go with a PC and dedicated NVIDIA graphics card. It generates the images and then when it's about to start training with my I made a long guide called [Insights for Intermediates] - How to craft the images you want with A1111, on Civitai. I'm trying to run Dreambooth with Kohya on a Mac Studio M1 Ultra 128GB, but I'm facing some challenges. (Or in my case, my 64GB M1 Max) Hey, I'm unable to find any clear resource stating whether this is possible or if there are any disadvantages: Can I run Stable Diffusion on a macOS with an M1 inside Docker? I would like to avoid installing everything directly to not clutter my Mac unnecessarily. It needs far more memory and a much faster GPU. it also takes quite a bit to begin loading anything (like 3-5 seconds) I have an older Mac and it takes about 6-10 minutes to generate one 1024x1024 image, and I have to use --medvram and high watermark ratio 0. Been playing with it a bit and I found a way to get ~10-25% speed improvement (tested on various output resolutions and SD v1. However, I am not! A Mac mini is a very affordable way to efficiently run Stable Diffusion locally. This image took about 5 minutes, which is slow for my taste. I'm a newbie trying to install Facechain extension on Automatic 1111 on my Mac M1, but the tab doesn't show up Here's the version I got version Skip to main content Just posted a YT-video, comparing the performance of Stable Diffusion Automatic1111 on a Mac M1, a PC with an NVIDIA RTX4090, another one with a RTX3060 and Google Colab. I’m always multitasking and it can get slower when that happens but I don’t mind. Dear Sir, I use Code about Stable Diffusion WebUI AUTOMATIC1111 on Mac M1 Pro 2021 (without GPU) , when I run then have 2 error : Launching Web UI Using model Stable Diffusion 2. I have a M1 MacBook Pro with macOS Monterey 12. Mac Studio M1 Max, 64GB I can get 1 to 1. I’ve had to buy a PC to be able to use all AI tools (and been on Mac for 15+yrs). Posted by u/OsmaniaUniversity - 8 votes and 3 comments Is there any reasonable way to do LoRA or other model training on a Mac? I’ve searched for an answer and seems like the answer is no, but this space changes so quickly I wondered if anything new is available, even in beta. OK so the instructions do not help at all. Neither is comparable in speed to my old PC with a 2070 super. Question - Help Hi I see lots of info for PC users but nothing as yet for MacOS. 5 to 2. You also can’t disregard that Apple’s M chips actually have dedicated neural processing for ML/AI. What is the way? Is there a version of Automatic1111 Webgui for macs? Is Diffusion Bee same as Stable Diffusion? A few months ago I got an M1 Max Macbook pro with 64GB unified RAM and 24 GPU cores. Suggestions? Going to get an M2 nvme for storage. Everything is not only now up and running, but running on 2. I always get this: No module 'xformers'. Use forge's default installation and configuration, stable-diffusion-webui-forge t2i generate very slow in macbookpro M1 stable-diffusion-webui generate 10241024 5s/it stable-diffusion-webui-forge generate 10241024 60s/it . 6 OS. SD has been installed locally. It basically works and I would say that it's a good start! Hello everyone, I'm having an issue running the SDXL demo model in Automatic1111 on my M1/M2 Mac. I looked at diffusion bee to use stable diffusion on Mac os but it seems broken. Hi Everyone, Can someone please tell me the best Stable Diffusion install that will allow plugins on Mac that is not M1 or M2 chips as my macs a 2019 version. 1 in resolutions up to 960x960 with different samplers and upscalers. Please keep posted images SFW. (i might buy a an apple or a windows one but if Stable Diffusion works on an apple laptop especially SDXL then i will I have a 2020 M1 MBP with 16GB ram. I think I have fixed it with a working Restore Faces. And for LLM, M1 Max shows similar performance against 4060 Ti for token generations, but 3 or 4 times slower than 4060 Ti for input prompt evaluations. I own these The Diffusion Bee version of Stable Diffusion might be the best for you. If Stable Diffusion is just one consideration among many, then an M2 should be fine. 1M subscribers in the programming community. and if it does, what's the training speed actually like? is it gonna take me dozens of hours? can it even properly take advantage of anything but the CPU? like GPUs, neural engine, etc. Hope that helped a little bit. lgpznl jhyhp skajp hhazzxe dtmau ukhk qagjq ibuck lpff flgh