Improved model, heavily retrained on millions of additional images. Fastest Stable Diffusion on M2 ultra mac? I'm running A1111 webUI though Pinokio. As Diffusion Bee is not supported on Intel processors. If you are serious about image generation then this is a pretty good thin and light laptop to have. (If you're followed along with this guide in order you should already be running the web-ui Conda environment necessary for this to work; in the future, the script should activate it automatically when you launch it. " but where do I find the file that contains "launch" or the "share=false". Of course it gets quite hot when doing so and throttles after about 2 minutes to slower speeds, but even at slower speeds it is extremely fast for 10W package power. DiffusionBee takes less than a minute for 512x512 50steps image while the smallest size in fooocus takes close to 50 minutes. 5 768x768: ~22s. 6. com/LaHvEe13zX. Being the Mac counterpart of the diffusers library, it allows you to download models from the Hub, in optimized Core ML format. Run pip install -e . Fast forward I spent the last month to build an app on top of that. r/StableDiffusion • I created a trailer for a Lakemonster movie with MidJourney, Stable Diffusion and other AI tools. I won't go into the details of how creating with Stable Diffusion works because you obviously know the drill. Thanks!!! 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. 15 s/it on Comfyui. A Mac mini is a very affordable way to efficiently run Stable Diffusion locally. You also can’t disregard that Apple’s M chips actually have dedicated neural processing for ML/AI. 12 Keyframes, all created in Stable Diffusion with temporal consistency. Happy diffusion. To anyone desiring to run Stable Diffusion, InvokeAI, Automatic1111 with plugins like Control Net and VAEs build a LINUX BOX and get a NVIDIA GPU with at least 12GB of RAM. 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. 1 beta model which allows for queueing your prompts. What Mac are you using? Got the stable diffusion WebUI Running on my Mac (M2). This image took about 5 minutes, which is slow for my taste. when launching SD via Terminal it says: "To create a public link, set `share=True` in `launch()`. Hi, I am trying to pace my updates about the app posted here so it didn't clutter this subreddit. For now I am working on a Mac Studio (M1 Max, 64 Gig) and it's okay-ish. 3. I didn't see the -unfiltered- portion of your question. Members Online I made a small utility menubar Mac app to track my time. $1K will do just fine (I just bought and set up a $1k PC for SD for a nephew). I doubt anyone has tried it yet but has anyone used a windows emulator to try and install Stable Diffusion?? Diffusion Bee for MacBook users still doesn't seem to do Img2Img art comments sorted by Best Top New Controversial Q&A Add a Comment Diffusion Bee (version 2. sh script. My intention is to use Automatic1111 to be able to use more cutting-edge solutions that (the excellent) DrawThings allows. Is there any way to download Stable Diffusion or do I need a mac with Apple Silicon? /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 own these machines, so I can give you an insight into my personal experiences, benchmarks, pricing and more. 14. Lastly, you can get your 50 free credits by going to the credits Follow step 4 of the website using these commands in these order. Get the 2. sh. 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. A 25-step 1024x1024 SDXL image takes less than two minutes for me. No, you don't need a $3k PC. . Get the Reddit app Scan this QR code to download the app now Mac Clients for Stable Diffusion: Generate AI Images on MacBooks for free upvote r/Intune. I would be willing to upgrade graphics cards with an eGPU if need be, but just dont have the means to get a whole new machine currently. On my previous Mac mini I tried different settings and commands, with no increase whatsoever so I don't think there is a way right now to achieve a better /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. Right now it has two styles: If you're changing operating systems anyway, might as well go to Linux; AI tools are generally easier to install and run in Linux. Features: - Negative prompt and guidance scale - Multiple images - Image to Image - Support for custom models including models with custom output resolution Reply. There are multiple methods of using Stable Diffusion on Mac and I’ll be covering the best methods here. /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 have it running on mac and there are a few guides online for Automatic 1111. • 1 yr. Invoke is a good option to improve details with img2img your generated art afterwards. Edit: It takes about 3-4 Minutes for one 50steps 1024 XLSD Picture vor an upscaled 512 -> 1024 So at least not hours as in the comments Oo. You can try doing it on CPU, however, but it will be very slow. ai’s infrastructure enables developers and businesses to build, deploy & monetize a new generation of AI applications through its agent-based modular platform. The increase in speed is due to more powerful hardware (from M1/8GB to M2 Pro/16GB). ) I don't know much about Macs, but for Windows, there's a . Draw Things is in the app store and it is a good starting place for Mac user who want to experiment with local generation before moving to A1111. As long as those apps are open -- and inactive -- GPU activity drops down to 1-3%. Im looking into getting SD setup for the /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. The only issue I have is that so many - even basic - features are missing from Mochi, such But yeah, just wondering if there is any hope for stable diffusion working on an intel chip Mac because I know Diffusion Bee is out there, but only works for the M1 chip. 5 to 2. now I wanna be able to use my phones browser to play around. Before you even go that route, see if it works (takes the same amount of time) when using a native Mac app - note A1111 comes with extensions, and many, many more features so eventually you want to use it (requires using the terminal etc). Essentially the same thing happens if go ahead and do the full install, but try to skip downloading the ckpt file by saying yes I already have it. Is there a way to install automatic1111 and/or stable diffusion on an intel based mac? From my understanding auto1111 is a GUI for Stable diffusion, no? I'm on a 2017 macbookpro with a Radeon Pro 560. I've managed to download an app called Draw Things that does a lot of the stuff you had to fiddle around in terminal for, but it seems to only use Stable Diffusion 1 models. Hope it's helpful! Here's a question for all you Mac users: I have a 2020 iMac with a 3. edit: never mind. For reference, I can generate ten 25 step images in 3 minutes and 4 seconds, which means 1. 36 it/s (0. If your laptop overheats, it will shut down automatically to prevent any possible damage. Hi, After some research I found out that using models converted to CoreML and running them in Mochi Diffusion is about 3-10x faster than running normal safetensors models in Auto1111 or Comfy. e. I generated the same (pretty small) image on my 15" Intel Macbook Pro (2016) with 16GB memory. Render times for my M1 MBP 32GB, 30 steps, DPM++ 2M Karras. But diffusion bee runs perfectly, just missing lots of features (like Loras, embeddings, etc) 0. FlishFlashman. It seems from the videos I see that other people are able to get an image almost instantly. Offshore-Trash. I would like to speed up the whole processes without buying me a new system (like Windows). 74 s/it). does anyone has any idea how to get a path into the batch input from the finder that actually works? -Mochi diffusion: for generating images. I have InvokeAI and Auto1111 seemingly successfully set up on my machine. Not sure exactly how Unified Memory impacts the CPU/GPU divide. Advice on hardware. Using InvokeAI, I can generate 512x512 images using SD 1. If it had a fan I wouldn't worry about it. The contenders are 1) Mac Mini M2 Pro 32GB Shared Memory, 19 Core GPU, 16 Core Neural Engine -vs-2) Studio M1 Max, 10 Core, with 64GB Shared RAM. 2. If I open the UI and use the text prompt "cat" with all the default settings, it takes about 30 seconds to get an image. Awesome, thanks!! unnecessary post, this one has been posted serveral times and the latest update was 2 days ago if there is a new release it’s worth a post imoh. This is on an identical mac, the 8gb m1 2020 air. This actual makes a Mac more affordable in this category Anyway I would say go for A1111 yes. 1 in resolutions up to 960x960 with different samplers and upscalers. anyone know if theres a way to use dreambooth with diffusionbee. For Stable Diffusion, we think we’re the simplest, clearest UI for running Stable Diffusion and ControlNet models entirely locally on a Mac. ago • Edited 2 yr. I started working with Stable Diffusion some days ago and really enjoy all the possibilities. This subreddit is temporarily private as part of a joint protest to Reddit's recent API changes, which breaks third-party apps and moderation tools, effectively forcing users to use the official Reddit app. I’m exploring options, and one option is a second-hand MacBook Pro 16”, M1 Pro, 10 CPU cores, 16 GPU cores, 16GB RAM and 512GB disk. 40 it/sec. 2, along with code to get started with deploying to Apple Silicon devices. Hey folk! Somebody else experienced a massive performance loss after upgrading to Sonoma? It nearly takes twice the time now. Fast, can choose CPU & neural engine for balance of good speed & low energy -diffusion bee: for features still yet to add to MD like in/out painting, etc. Hey all! I’d like to play around with Stable Diffusion a bit and I’m in the market for a new laptop (lucky coincidence). This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Excellent quality results. A1111 barely runs, takes way too long to make a single image and crashes with any resolution other than 512x512. Hi there,in december Apple released a new Stable Diffusion framework that is optimised for Apple silicon and that got me interested in the topic. You’ll be able to run Stable Diffusion using things like InvokeAI, Draw Things (App Store), and Diffusion Bee (Open source / GitHub). 1. (with the dot) in your stable diffusion folder, and see if the issue persists. However, I am not! To activate the webui, navigate to the /stable-diffusion-webui directory and run the run_webui_mac. 4, but trained on additional images with a focus on aesthetics. Use --disable-nan-check commandline argument to Stable Diffusion Dream Script: This is the original site/script for supporting macOS. TL;DR Stable Diffusion runs great on my M1 Macs. Yes, sd on a Mac isn't going to be good. We would like to show you a description here but the site won’t allow us. 44 s/it (yes, I know, it's awfully slow :) ). Please let me know your feelings about the app and what would you like to change about it. co r/MacApps is a one stop shop for all things related to macOS apps - featuring app showcases, news, updates, sales, discounts and even freebies. Stable Diffusion on Mac Silicon using CoreML. 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. Download Here. I'm running an M1 Max with 64GB of RAM so the machine should be capable. You'll have to use boot camp or a linux dual-boot (virtualization is probably too slow; your graphics card is probably borderline usable at best). Sort by: Add a Comment. 8 GHz 8-Core Intel Core i7 processor. py--upcast-sampling --precision autocast We would like to show you a description here but the site won’t allow us. ago. 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). — Pedro Cuenca (@pcuenq) January 30, 2023. yeah you'll need something else, it's all about the GPU, it's VRAM that you need. The Draw Things app makes it really easy to run too. Would love feedback and suggestions for any SDXL generators or open source apps I might have missed. Figure 1: Images generated with the prompts, "a high quality photo of an astronaut riding a (horse/dragon) in space" using Stable Diffusion and Core ML + diffusers 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. In A1111 it generated in 4:24 - 17. 1 and iOS 16. Question - Help. 5 512x512 -> hires fix -> 768x768: ~27s. /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. Fast, stable, and with a very-responsive developer (has a discord). It allows very easy and user-friendly Stable Diffusion generations. u/mattbisme suggests the M2 Neural are a factor with DT (thanks). PSPlay/ MirrorPlay has been optimized to provide streaming experiences with the lowest possible latency. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. /run_webui_mac. Thanks. pic. for M1 owners, invoke is probably better. Highly recom /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. • 2 yr. It is a native Swift/AppKit app, it uses CoreML models to achieve the best performances on Apple Silicon. Average speed for a simple text-to-image generation is around 1. Try these first: Resolution is limited to square 512. pintong. 5. Must be related to Stable Diffusion in some 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. THX <3 Does anyone know if my old mac will work? It has 16gb RAM. How To Run Stable Diffusion On Mac. Same architecture as 1. com. You won't have all the options in Automatic, you can't do SDXL, and working with Loras requires extra steps. I found this soon after Stable Diffusion was publicly released and it was the site which inspired me to try out using Stable Diffusion on a mac. It doesn’t have all the flexibility of ComfyUI (though it’s pretty comparable to Automatic1111), but it has significant Apple Silicon optimizations that result in pretty good performance. 😳 In the meantime, there are other ways to play around with Stable Diffusion. - Stable Diffusion 1. 6. A . r/Intune Built an app to run Stable Diffusion natively on macOS and iOS, all offline. 1. Use --disable-nan-check commandline argument to No, software can’t damage physically a computer, let’s stop with this myth. twitter. ai, no issues. There is a feature in Mochi to decrease RAM usage but I haven't found it necessary, I also always run other memory heavy apps at the same time /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. Sorry if this has been posted but theres such a proliferation of new info at such a rapid rate its hard to keep up. I also see a significant difference in a quality of pictures I get, but I was wondering why does it take so long to fooocus to generate image but DiffusionBee is so fast? I have a macbook pro m1pro 16gb. For people who don't know: Draw Things is the only app that supports from iPhone Xs and up, macOS 12. Or will my computer have a total meltdown if I try and instal Stable Diffusion etc. Run Stable Diffusion easily on your Mac with our native and open-source Swift app 🚀. For those that haven’t seen it, Odyssey is a native Mac app for creating remarkable art, getting work done, and automating repetitive tasks with the power of AI — all without a single line of code. In my opinion, DiffusionBee is still better for EGPU owners, because you can get through fine-tuning for a piece far faster and change the lighting in Photoshop after. Free & open source Exclusively for Apple Silicon Mac users (no web apps) Native Mac app using Core ML (rather than PyTorch, etc) hi everyone! I've been using the WebUI Automatic1111 Stable Diffusion on my Mac M1 chip to generate image. 5 512x512: ~10s. It's greatest advantage over the competition is it's speed (>30it/s) . Updates (2023. I have an OLD (2013) Mac running OSX 10. But the exact same image (same parameters for everything) took 12:32 - 50. The first version was only compatible with Macs, but Hey everyone, I’m looking for a prebuilt package to run Stable Diffusion on my iMac (Intel Core I Gen5 / 16GB RAM) with Monterey 12. 5 Share. Diffusion Bee: uses the standard one-click DMG install for M1/Mw Macs. Reply. You can play your favorite games remotely while you are away. It allows both text2img and img2img generation with lots of hyperparameters to tweak with. For serious stable diffusion use, of course you should consider the M3 Pro or M3 This is the original Stable Diffusion model that changed the landscape of AI image generation. M2Max Sonoma Automatic111G Via Git. Features. I just made a Stable Diffusion for Anime app in your Pocket! Running 100% offline on your Apple Devices (iPhone, iPad, Mac) The app is called “WAIFU ART AI” , it's free no ad at all It supports fun styles like watercolor, sketch, anime figure design, BJD doll etc. They have a web-based UI (as well as command-line scripts) and a lot of documentation on how to get things working. 4 and above, runs Stable Diffusion from 1. It was an SDXL checkpoint, 15 iterations, image dimensions 384x768. , under 10% while idle -- is having Stable Diffusion running but inactive, or opening and rendering something in MochiDiffusion or Blender and then leaving the app idle. Your best bet is probably to make a linux Virtual machine or container and pass the WX9100 to it, so that you can use ROCm in a Linux environment. bat file named webui-user. MacOS on Intel has been dead since the M1 came out. Probably if you have a 16gb or higher MacBook then A1111 might run better. Can use any of the checkpoints from Civit. ). After that, copy the Local URL link from terminal and dump it into a web browser. 1 or V2. If both doesn't work, idk man try to dump this line somewhere: ~/stable-diffusion-webui/webui. See full list on huggingface. SDXL 1024x1024: ~70s. The only thing that drops GPU usage back down to "normal" -- i. Also, I don't know you personally, but if you want to try my system out send me a private message on Reddit and I will send you a login and you can try Automatic1111 and That will be all. /webui. (around 14s for 20 steps). CHARL-E is available for M1 too. Did someone have a working tutorial? Thanks. 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. Is it possible to do any better on a Mac at the moment? Nope, there is no AMD support on Mac. ---. Fetch. bat file is just a text file containing a list of commands to be executed. ai is redefining the possibilities of an intelligent and connected world through its AI agent-based technology. It uses something called Metal Flash Attention, and (optionally) CoreML to speed up performance. 2. 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. Second: . Have been excited about dynamic wallpapers with Stable Diffusion for a while and finally decided to go build a tiny tool that changes your mac background every couple of hours called Genwall. I have no ideas what the “comfortable threshold” is for . Automatic 1111 should run normally at this DiffusionBee - Stable Diffusion GUI App for M1 Mac. If you want something more powerful, get something with a 3090. - Stable Diffusion 2. Does Not Work: Spent ages installing this beast, UI loads, click generate, nothing, just continues forever without generating anything Draw Things (App Store) I don’t know too much about stable diffusion but I have it installed on my windows computer and use it text to image pictures and image to image pictures I’m looking to get a laptop for work portability and wanted to get a MacBook over a windows laptop but was wondering if I could download stable diffusion and run it off of the laptop for Today, we are excited to release optimizations to Core ML for Stable Diffusion in macOS 13. AI Dreamer is the fastest way (>30it/s) to generate stable diffusion content on iOS and macOS. Diffusionbee is a good starting point on Mac. The last reference in the /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. 1) Works: However, no SDXL, and very limited in choice, i. I recently released the app to the App Store that can generate images using various SDXL apps on HuggingFace. First: cd ~/stable-diffusion-webui. none of the newer samplers are present at all, not worth using imo. The integrated GPU of Mac will not be of much use, unlike Windows where the GPU is more important. There's an app called DiffusionBee that works okay for my limited uses. 22) Later today, I found out there is a stable diffusion web UI benchmark, 6800xt on Linux can achieve 8it/s, so I did a little digging, and change my boot arguments to only: python launch. I discovered DiffusionBee but it didn't support V2. twitter. Honestly, I think the M1 Air ends up cooking the battery under heavy load. PromptToImage is a free and open source Stable Diffusion app for macOS. 6 I want to start making AI videos but was wondering if I need to get a new Fetch. If you get some other import errors you can try removing your current conda environment with conda env remove -n ldm, and then re-doing step 6. This video is 2160x4096 and 33 seconds long. SD1. Feb 8, 2024 · All in all, the key component for achieving good performance in Stable Diffusion on Mac is your CPU and RAM. Just get something with a NVidia RTX 3060. What's the best way to run Stable Diffusion these days? Apps with nice GUIs or hardcore in terminal with a localhost web interface? And will version 3 be able to create video? . Hello r/StableDiffsuion ! I would like to share with you the AI Dreamer iOS/macOS app. Get the Reddit app Scan this QR code to download the app now One Click Installer SD running Mac OS using M1 or M2. bat you run. sh command to work from the stable-diffusion-webui directorty - I get the zsh: command not found error, even though I can see the correct files sitting in the directory. 5 in about 30 seconds… on an M1 MacBook Air. InvokeAI. But you can find a good model and start churning out nice 600 x 800 images, if you're patient. The prompt was "A meandering path in autumn with Hi All. mx fx bl in ue wb zt kk pn wx