Best stable diffusion mac m1 reddit. compare that to fine-tuning SD 2.

Best stable diffusion mac m1 reddit yeah RunPod is great. Suggestions? Going to get an M2 nvme for storage. Go to your SD directory /stable-diffusion-webui and find the file webui. Download Here. img2img, negative prompts, in/outpainting, etc. 20221231. ComfyUI straight up runs out of memory while just loading the SDXL model on the first run. 😳 In the meantime, there are other ways to play around with Stable Diffusion. It already supports SDXL. I've got the lstein (now renamed) fork of SD up and running on an M1 Mac Mini with 8 GB of RAM. Not sure if Automatic1111 is optimizing Apple Silicon but it would be nice if Apple Silicon performs 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. If you follow these steps in the post exactly that's what will happen, but I think it's worth clarifying in the comments. SD There is an article about Core ML for Stable Diffusion from Apple's machine learning. Some personal benchmarks (30 steps, DPM++ 2M Karras): MBP M1 Max, 32gb ram, Draw Things SD1. i'm currently attempting a Lensa work around with image to image (insert custom faces into trained models). sh. A1111 barely runs, takes way too long to make a single image and crashes with any resolution other than 512x512. g. 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. 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). Unfortunately, the txt2vid function doesn't work for me Looking to build a pc for stable diffusion. I am on a M1 Max with the most recent O/S update for Ventura. It works fine, but the GPU load is huge (around 80% or more). runs solid. 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). Possibly you may have be using SDXL and doing the testing before the fixed vae was avaiiable maybe, that caused all black images after the final decode step. It's slow but it works -- about 10-20 sec per iteration at 512x512. I'm using SD with Automatic1111 on M1Pro, 32GB, 16" MacBook Pro. ). For Stable Diffusion, the requirement are far higher and it specifies to not use an intel based cpu. Use the installer instead if you want a more conventional folder install that runs in a web browser. The interface is nice and adheres to Mac interface practices much better than DiffusionBee's. It now supports all models including XL, VAE, loras, embedding, upscalers and refiner . true. e. For PC questions/assistance. 0. 20221127. I'll root for the Ui-UX fork by Ananope. I tested using 8GB and 32 GB Mac Mini M1 and M2Pro, not much different. 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. Invoke AI has most if not all the features missing, but it says a M1 chip is needed. An M2/M3 will give you a lot of VRAM but the 4090 is literally at least 20 times faster. Essentially, I think the speed is excruciatingly slow on that machine. Can use any of the checkpoints from Civit. There are Mac users on the dev team so reported solutions will get handled, though it may take some patience. 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. 5 512x512: ~10s SD1. I find I'm using Draw Things off the Mac and using the models and loras on an ssd. For me, if you get everything worked out with CUDA, NVIDIA GPU was slightly faster. Hey everyone, Tried everything and still can’t use Stable Diffusion on my computer. It basically works and I would say that it's a good start! M1-Specific Considerations: If you are using an M1 Mac, make sure you have a version of PyTorch that supports the M1 architecture. I bought it and played around with it a little on an M1 Mac Mini 8GB. Stable requires a good Nvidia video card to be really fast. py, for example: export COMMANDLINE_ARGS="--medvram --opt-split-attention" 13 #export COMMANDLINE_ARGS="" /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. 5 in about 30 seconds on an M1 MacBook Air. I have followed tutorials to install SD, I am not proficient at coding. Welcome to the unofficial ComfyUI subreddit. Reply reply More replies More replies swittk Hello! Happy new year! In Draw Things 1. You’ll be able to run Stable Diffusion using things like InvokeAI, Draw Things (App Store), and Diffusion Bee (Open source / GitHub). Free & open source Exclusively for Apple Silicon Mac users (no web apps) Native Mac app using Core ML (rather than PyTorch, etc) /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. for 8x the pixel area. Same with invoke. 5 512x512 -> hires fix -> 768x768: ~27s SDXL 1024x1024: ~70s /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. im running it on an M1 16g ram mac mini. A few more things since the last post to this sub: Added Anything v3, Van Gogh, Tron Legacy, Nitro Diffusion, Openjourney, Stable Diffusion v1. ) as time goes on. how long does it take you to do 120 frames animation Deforum 512x512, I have mac pro m1 (windows user till this bad decision) and now I am regretting I bought this p of shit device LOL is super slow regarding Stable Diffusion Deforum. Earlier today I added a Mac application that runs my fork of AUTOMATIC1111’s Stable Diffusion Web UI. 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. 5, MiniSD and Dungeons and Diffusion models; My daily driver is an M1, and Draw Things is a great app for running Stable Diffusion. I haven't dialed it in just right yet /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. 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 Recommend MochiDiffusion (really, really good and well maintained app by a great developer) as it runs natively and with CoreML models. I find the results interesting for comparison; hopefully others will too. 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. - so img2img and inpainting). 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! /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. Everything from the parameter boxes to the image output to the tab navigation has been either overhauled or tweaked. HuggingFace diffusers provide a low-effort entry point to Diffusion bee running great for me on MacBook Air with 8gb. 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. I don't know if I'm what you're looking for, but if I am. Download the Stable-Diffusion model in safetensors format. Hi. Using InvokeAI, I can generate 512x512 images using SD 1. Well maybe then, you should recheck. 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. Posted by u/Any-Winter-4079 - 148 votes and 163 comments 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. Check for M1-specific solutions on forums like PyTorch Discussions [ 4 ][ 8 ]. In my opinion both the best Python solution on a Mac, and the best interface for SD currently available. 1 ; Any help /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've been really enjoying SD, so a couple months ago I built a midrange PC with a 4060TI card, and it's noticeably faster. However, if SD is your primary consideration, go with a PC and dedicated NVIDIA graphics card. While other models work fine, the SDXL demo model Looks like we are in a similar situation and looking for similar guidance. 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. Running the UI (both Comfy and A1111) is just one command. Pretty sure I want a Ryzen processor but not sure which one is adequate and which would be overkill. EDIT: And then it required some work arounds for some of the stable diffusion code, no idea if those were added to Auto1111. For using terminal in general, I don't have any specific tutorial, but a few tips. M1 Max is as powerful in gaming as a 750ti 2Gb on Nvidia and on video editing as fast as a 1080-2080 from nvidia or a 5700xt only if using Metal API (aka, Avid is going to be terribly slow on a Mac). The developer has been putting out updates to expose various SD features (e. I'm worried about using it since I don't want to damage my laptop. 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 think Macs have the ability to access an external GPU? I wonder if people have tried that. So I sat down and I started to see how that could work on my M1 Mac. The installation process may seem complicated, but it's just a few commands that you copy and paste. Background: I love making AI-generated art, made an entire book with Midjourney AI, but my old MacBook cannot run Stable Diffusion. What board would you all recommend? Would a 4090 make a big difference over a 3090? 11 votes, 21 comments. i have models downloaded from civitai. The Draw Things app is the best way to use Stable Diffusion on Mac and iOS. I've been running Diffusion Bee on my 22 M1 Pro but to be honest, it's not fun. I agree that buying a Mac to use Stable Diffusion is not the best choice. You barely have any Settings you can try and it's super slow (i'm not used to waiting for a minute for one generation). If you have a specific Keyboard/Mouse/AnyPart that is doing something strange, include the model number i. Can it overheat? 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. . Should work on most M-series chips. It needs far more memory and a much faster GPU. 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. Remember, apple's graphs showing how great their chip is relative to intel/nvidia, are relative to power window. Don't get a mac haha. You also can’t disregard that Apple’s M chips actually have dedicated neural processing for Stable Diffusion runs like a dog on a 16GB M1 Air. Macbook M1 Air. 2, we made a partnership with civitai. The Draw Things app makes it really easy to run too. The instructions for Apple Silicon worked fine for me, so I guess they should work on any M1/M2 Mac. 5 based models, Euler a sampler, with and without hypernetwork attached). Strong community focus. Hey. But I've been using a Mac since the 90s and I love being able to generate images with Stable Diffusion. I was stoked to test it out so i tried stable diffusion and was impressed that it could generate images In this article, we look at running Stable Diffusion on an M1 Mac with HuggingFace diffusers, highlighting the advantages — and the things to watch out for. 1 at 1024x1024 which consumes about the same at a batch size of 4. For reasonable speed, make sure you're using a Mac with an Apple Silicon chip Run Stable Diffusion on your x86 PC or M1 Mac’s GPU. 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 own these /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. Features. The latest update (1. CUDA is honestly a pain to setup though. Currently using an M1 Mac Studio. compare that to fine-tuning SD 2. 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 select the model from the app. ai, no issues. /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 got it working after cleaning that up. 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. For MacOS, DiffusionBee is an excellent starting point: it combines all the disparate pieces of software that make up Stable Diffusion into a single self-contained app package which downloads the largest pieces the first time you run it. Mochi Diffusion crashes as soon as I click generate. Hey! Thank you for the great work! I've been waiting for an app that feels at home on the Mac. Draw Things AI does magic upres fix, I can go up to 12 MP. But WebUI Automatic1111 seems to be missing a screw for macOS, super slow and you can spend 30 minutes on upres and the result is strange. You're much better off with a pc you can stuff a bunch of m2 drives and shitloads of ram in. Please share your tips, tricks, and workflows for using this software to create your AI art. It turned out it works perfectly, I just had to download Apple’s Accelerated PyTorch training on Mac and Anaconda I was ready to install Fooocus. It’s fast, free, and frequently updated. Hi folks, I've downloaded Stable Diffusion onto my Mac M1 and everything has worked great. I have a M1 MacBook Pro with macOS Monterey 12. I need to compare overall times properly. 0) brings iPad support and Stable Diffusion v2 models (512-base, 768-v, and inpainting) to the app. I’d be interested to see if it’s possible to run it in some way. On my Mac Studio m1 it installed fine the first time because there were no previous versions of python. psst, download Draw Things from the iPadOS store and run it in compatability mode on your M1 MBA. 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. Very nice. I ran Hi all, Looking for some help here. Goes fast. 7 or it will crash before it finishes. Apple computers cost more than the average Windows PC. when fine-tuning SDXL at 256x256 it consumes about 57GiB of VRAM at a batch size of 4. 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 built a PC desktop for myself last summer to use for Stable Diffusion, and I haven't regretted it. Please keep posted images SFW. A few months ago I got an M1 Max Macbook pro with 64GB unified RAM and 24 GPU cores. SD has been installed locally. hi everyone! I've been using the WebUI Automatic1111 Stable Diffusion on my Mac M1 chip to generate image. Stable Diffusion runs great on my M1 Macs. Either way best of luck! 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. I am currently using SD1. Highly interactive, easy to use installer. com such that the models you saw on civitai. If you are looking to upgrade your CPU, yes, the M1 Max for the correct price is a huge bump from your system. I wanted to toy with Stable Diffusion with the DiffusionBee app. When asking a question or stating a problem, please add as much detail as possible. 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 wanted to see if it's practical to use an 8 gb M1 Mac Air for SD (the specs recommend at least 16 gb). I know Macs aren't the best for this kind of stuff but I just want to know how it performs out of curiosity. It's a complete redesign of the user interface from vanilla gradio with a big focus on usability. Downsides: closed source, missing some exotic features, has an idiosyncratic UI. I'm using an M2 iPad Pro 8GB RAM with Draw Things and while it does amazing work, the detail and realism I'm able to achieve don't match what I see from others. Reply reply 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. resource tracker: appear to be %d == out of memory and very likely python dead. I have a 2020 M1 MBP with 16GB ram. What is the way? Is there a version of Automatic1111 Webgui for macs? Is Diffusion Bee same as Stable Diffusion? Invoke AI. Which led me to I know this question is asked many times before but there are new ways popping up everyday. This image took about 5 minutes, which is slow for my taste. Using model Stable Diffusion 2. In this article, we'll guide you step-by-step on how to install and use Stable Diffusion on your Mac. 15 votes, 12 comments. It's worth noting that you need to use your conda environment for both lstein/stable-diffusion and GFPGAN. A 8GB M1 Mac Mini dedicated just for running a 7B LLM through a remote interface might work fine though. Hello everyone, I'm having an issue running the SDXL demo model in Automatic1111 on my M1/M2 Mac. 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. NOTE: For x86/Windows/Linux follow installation instruction here. 5 768x768: ~22s SD1. M1 is for sure more efficient, but it can't be cranked up to power levels and performance anywhere near a beefy cpu/gpu. r/StableDiffusion • MASSIVE SDXL ARTIST COMPARISON: I tried out 208 different artist names with the same subject prompt for SDXL. You should expect the very same performance on a MacBook Air M1. Also DiffusionBee lacks features such as being able to specify a seed. I had a M2 Pro for a while and it gave me a few steps/sec at 512x512 resolution (essentially an image every 10–20 sec), while the 4090 does something like 70 steps/sec (two or three images per second)! /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. 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 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. 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. 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 Hi all, Looking for some help here. 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. The latest and advanced one available A few months ago I got an M1 Max Macbook pro with 64GB unified RAM and 24 GPU cores. rfztfa niyxv qkyo dodz agbjdqk tawzes hhxf gcaa exbtdnb ftxp