- Stable diffusion mac intel reddit what are best options for mac intel stable diffusion? comments sorted by Best Top New Controversial Q&A Add a Comment. By biggest problem has been not being able to run SD locally due to my Intel Macbook. Its a collaboration with Huggingface and you'll have to sign-up Stable Diffusion WebUI: I used commandline args: --opt-sub-quad-attention --no-half-vae --disable-nan-check --autolaunch Took positive and negative prompts, and CFG from TomsHardware's article regarding the Stable Diffusion I changed my webui to dark recently and I like it more. Audio reactive stable diffusion music video for Watching Us by YEOMAN So I'm trying to use diffusion Bee, a Stable diffusion on my Mac book, but i'm having trouble finding models that are really working for me. View community ranking In the Top 1% of largest communities on Reddit. I decided to upgrade the M2 Pro to the M2 Max just because it wasn't that far off anyway and the speed difference is pretty big, but not faster than the PC GPUs of course. Stable requires a good Nvidia video card to be really fast. ** /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 /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. An alternative is to run it on a cloud service. It’s fast, free, and frequently updated. To optimize Stable Diffusion on Apple Silicon, it is Just wondering if stable diffusion works okay on an intel iMac? I’ve tried diffusion bee and it takes ages to render one picture, plus it can’t do animations. next using ipex still, can generate in sdxl all the way up to 4096x4096 res, i haven't tested that but ive done 1024x1024 easily with no issues and Must be related to Stable Diffusion in some way, comparisons with other AI generation platforms are accepted. 4. I have successfully installed Automatic1111 and have been running that for some time. - Explore how to run stable diffusion models on MacBook using top open-source AI tools for efficient image generation. for now i'm using the nvidia to generate images using automatic1111 stable diffusion webui with really slow generating time (around 2 minute to produce 1 image), also i already use stuff like --lowvram and --xformers. Get these from GitHub and manually copy paste them where they seem to belong. I will be buying a laptop and have 3 choices that fit my budget. About 2-3 days ago, I switched to my new Mac Pro and tried running Stable Diffusion. Keep that setting in mind if you're having issues with eyes/faces. 8it/s, which takes 30-40s for a 512x512 image| 25 steps| no I’m looking to use Stable Diffusion on an Intel Mac and I’m not sure what’s the best method. Running Stable Diffusion on MAC using /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 On MacOS . I know Stable Diffusion is primarily for Nvidia cards and some people have gotten it working on AMD cards or even CPUs, but is there much hope for me running Stable Diffusion on an Intel Arc card? Not a studio, but I’ve been using it on a MacBook Pro 16 M2 Max. Or check it out in the app stores TOPICS. I like having an internal Intel GPU to handle basic Windows display stuff, leaving my Nvidia GPU fully available for SD. By the way, "Euler A" dont need 40Steps, 20-25 are enough. I want to stick with apple architecture and am excited about the new m2 pro and max releases in the MacBook Pro. 2-1. SD How can I install and run the latest version of Stable Diffusion locally on an Intel mac? I know that there's InvokeAI and DiffusionBee, but I'd really like to install Automatic1111's web UI and run it locally on my system. Sadly cannot run the Mac version as it‘s M1/M2 only. Does it matter if I have a Mac with 2x2. Paper: "Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model". However, if SD is your primary consideration, go with a PC and dedicated NVIDIA graphics card. I guess it's Automatic111? The community for everything related to Apple's Mac computers! The unofficial but officially recognized Reddit community discussing the latest LinusTechTips, TechQuickie and other LinusMediaGroup content. 4 with a 2. Hi, I’m interesting in getting started with Stable Diffusion for Macs. 0ghz 32 GB RAM 36000 2 TB M2 NVME or more ( filled 1 TB and I am just a casual user ) GPU nvidia 16GB VRAM water cooling 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. This seems horrendously slow. I did exactly this, with a Razer Core X and an RTX 3060 12GB, combined with my 2017 quadcore DELL Precision 7510 (Thunderbolt III). I have been using Google Colab which has worked ok but quite a frustrating UI and easy to get files mixed up + not as many /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. My 32GB M1 max is mostly fine with speeds as mentioned - M3 Max ought to be about 2x speed roughly. I'm quite impatient but generation is fast enough to make 15-25 step images without too much frustration. Ps: I have a late 2020 Intel iMac. g. Google Colab Notebook with the filter disabled. Chances of me buying the 3070ti laptop is slim because it has poor battery and build quality. 4050 one has the Looking for the best laptop decision to run Table Diffusion or other softwares like After Effects or Blender. No dependencies or technical knowledge needed. **Please do not message asking to be added to the subreddit. , HTML alt-text tags) and other fields. On my Iphone 13 Pro, it took 32 seconds to generate this 512 x 512 image with 15 steps on Euler a sampler. It already supports SDXL. I will go intel for stability 4 core 3. I generated the same (pretty small) image on my 15" Intel Macbook Pro (2016) with 16GB memory. Hi. Save to models/VAE folder I think, then in settings you'll see it as a VAE option in the Stable Diffusion category. articles on new photogrammetry software or techniques. Stable diffusion for intel Mac? Just wondering if stable diffusion works okay on an intel iMac? I’ve tried diffusion bee and it takes ages to render one picture, plus it can’t do animations. For support, visit the following Discord links: Intel: https://discord. Worth a try This is a community to share and discuss 3D photogrammetry modeling. 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? I really like the idea of Stable Diffusion. I know Stable Diffusion does most of its work on the GPU, but will the CPU speed play much of a role in generating images? I'm facing an issue with running Stable Diffusion on my Mac Pro (with Vega 56 8GB) and could really use some help. 5GB of VRAM will be enough. What is the I've also read that DiffusionBee works on Intel Macs. 2 has brought back an Intel version: Features: - Outpainting - Stable Diffusion model v1. But the exact same image (same parameters for everything) took 12:32 - 50. where are you coming up with 5 minutes for 1 image 😅😅? Timed with my stopwatch on my phone, 18 seconds at 512x512 using DPM++ 2M Karras at 15 steps to generate this on my M2 Ipad, generated in Liu Liu's Draw Things: AI Generation. What is the best way to run Stable Diffusion in the cloud? /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. Posted by u/Electrical_Bad_8323 - 2 votes and 1 comment Then, when people talk about M1 macs, that applies to Intel macs too. It was an SDXL checkpoint, 15 iterations, image dimensions 384x768. Free & open source Exclusively for Apple Silicon Mac users (no web apps) Native Mac app using Core ML (rather than PyTorch, etc) when fine-tuning SDXL at 256x256 it consumes about 57GiB of VRAM at a batch size of 4. 5. I know hugging face is good place but i was wondering if there was any other places? none of civitai's work for any reason but i think thats due to those being designed with windows in mind. 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. Can I run stable diffusion using my intel uhd graphics card? Question - Help The home for gaming on Mac machines! Here you will find resources, information i have a laptop with intel iris xe iGPU and nvidia mx350 2GB for dedicated GPU, also 16GB ram. Unless the GPU and CPU can't run their tasks mostly in parallel, or the CPU time exceeds the GPU time, so the CPU is the bottleneck, the CPU performance shouldn't matter much. I looked at diffusion bee to use stable diffusion on Mac os but it seems broken. Here’s a data explorer for “Ghibli” images. Has any other Mac user successfully got ComfyUI got it Any stable diffusion apps or links that I can run locally or at least without a queue that are stable? Absolutely no pun intended. Macs with Apple SoCs have Apple GPUs. So which one should I get? This community has shut down and will not grant access requests during the protest. I'd start with those two if you need to run locally. Is the NSFW filter mandatory? DreamStudio does not allow the disabling of their NSFW filter at the moment. I also still have to do work on my Mac, will stable diffusion slow 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. Does collab googles stable diffusion work on MacBook intel? Im not sure if background knowledge is needed but I can’t get anything to run after being provided the inputs. I haven't tried video yet, but I'm pretty sure it won't run at all. I'm thinking about getting my first eGPU for Stable Diffusion. I don't know of any version of Stable Diffusion that can run reliably (or run at all) on Intel UHD Graphics. 4 GHz 8-Core Intel Core i9 Graphics: Intel UHD Graphics 630 1536 MB Memory: 64 GB 2667 MHz DDR4 I'm hoping to generate video files, ideally to stylize my own real-life recorded footage. Earlier today I added a Mac application that runs my fork of AUTOMATIC1111’s Stable Diffusion Web UI. At the end of the day these programs are designed for inference on massive racks of nvidia gpus. Get the Reddit app Scan this QR code to download the app now. compare that to fine-tuning SD 2. 2 Be respectful and follow Reddit's Content Policy. /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. When I just started out using stable diffusion on my intel AMD Mac, I got a decent speed of 1. 7 GHz 6-Core Intel Xeon processors and an Radeon RX 580 8GB CPU? - native Intel chip, so would I have a different process Stable Diffusion WebUI: I used commandline args: --opt-sub-quad-attention --no-half-vae --disable-nan-check --autolaunch Took positive and negative prompts, and CFG from TomsHardware's article regarding the Stable Diffusion benchmark and used both SD-v1-5-pruned-emaonly model, as well as neverendingDreamNED_v122BakedVae /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. All the best. I did ran Stable Diffusion on my old PC (Windows machine), but it was very slow which was frustrating. It's mostly the same process. Read through the other tuorials as well. I want to buy an eGPU enclosure and a RTX Nvidia GPU so that I can run Stable Diffusion locally. 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 I convinced her to try it and she asked me to install it on her machine. It needs far more memory and a much faster GPU. I think I can be of help if a little late. If you're comfortable with running it with some helper tools, that's fine. Comes with a one-click installer. So I am capable of doing some tech stuff! Not sure what I am doing wrong. Essentially, I think the speed is excruciatingly slow on that machine. 3 GHz Dual-Core Intel Core i5 processor and 8GB of RAM. 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 So i‘m on an intel Mac with an AMD graphics card. . According to some, Invoke AI runs on the native GPU on some Intel Macs (iMac Pro with a Vega card was mentioned I remember). Ugh. Which part most affects the speed of running stable diffusion on M2 pro/max mac? (8GB Unified RAM) and DiffusionBee on Intel Mac (8GB VRAM) is in the software Stable Diffusion Mac M1 project? Can't tell how how frustrating the Mac M1 is for almost anything I do (VMWare, PIP) and THERE IS AN APP for the Mac M1 which fronts the algo, but I'm VERY happy with the Intel one from GitHub (https://github. Apple and NVidia had a falling out and so an Intel Mac has Intel or AMD graphics. ), Graphics (ARC, Xe, UHD), Networking, OneAPI, XeSS, and all other Intel-related topics are discussed here. I've been working on an implementation of Stable Diffusion on Intel Mac's, specifically using Hi! I've recently heard about Stable diffusion from Nightcafe users, and I'm very interested to try it out. It’s ok. I wanted to install Fooocus but besides it not supporting Mac officially, it tried to use the CUDA version of pytorch. I have been having such a horrible time trying to get any SD running on my MacBook without the gradio link either not working at all or only working for about 30 mins. Stable Diffusion for Apple Intel Mac's with Tesnsorflow Keras and Metal Shading Language I've been working on an implementation of Stable Diffusion on Intel Mac's, specifically using Apple's Metal Shading language. However, the CPU in this server is rather weak (Intel I7 3770). Generating images in the web UI is painfully slow, like it could take 15 - 20 minutes to generate a simple 512x512 image. dbzer0 /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 haven’t tried it since I find that using Automatic1111 and Dreambooth from TheLastBen on Google Colab pretty much meets all my current needs. But I've been using a Mac since the 90s and I love being able /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. Wondering if it is possible to run stable diffusion on MacOs. How long does it take to generate an image on stable diffusion if you run on an Intel Mac? It takes me 2 hrs right now. but the main difference is that Linux is much more stable, and much more efficient with ram, cpu calls, and communicating between the Asus has been making AI specific accelerator cards for a couple of years now, microsoft is fabbing their own chipset, starting with their maia 100 line, nvidia already has dedicated cards in the datacenter space, Apple has stated they have an interest as well, and I know of at least one other competitor trying to break into that space. I have a Lenovo W530 with i7 2. 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 Stable Diffusion on Intel Arc A770 16GB Very Slow I just followed this tutorial to install SD. Its the guide that I wished existed when I was no longer a beginner Stable Diffusion View community ranking In the Top 1% of largest communities on Reddit. Some friends and I are building a Mac app that lets you connect different generative AI models in a single platform. (i might buy a an apple or a windows one but if Stable Diffusion works on an apple laptop especially SDXL then i will /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. Artificial Intelligence & Machine Learning; Computers & Hardware; Consumer Electronics; DIY Electronics; Programming; /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. That did not work. 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. 8GB is just too low for Stable Diffusion, together with hiresfix, you simply run out of Memory (RAM). The Draw Things app is the best way to use Stable Diffusion on Mac and iOS. I installed stable diffusion auto1111 on Macbook M1 Pro. (Ryzen 9 5980hx) Rx 6800m, 3070ti (i7-12650h) and the 4050(i5-13500hx). /run_webui_mac. Not only would there be a performance improvement in having a powerful GPU, beyond meeting the relatively modest requirements of a modern CPU and 16GB of memory, pretty much the only thing that matters to SD performance is which GPU you have. I would strongly recommend against buying Intel/AMD GPU if you're planning on doing Stable Diffusion work. I can’t imagine that an Iris chipset with only 1. And I haven't seen any updates to the Windows AMD support in a few weeks now, so even that is pretty bare bones. However, another card that caught my eye was the Intel Arc A770 with 16GB of faster memory from what I can tell. If you have an Intel Mac and run into issues, please create an issue on Github and we will do our best to help. I can't add/import any new models (at least, I haven't been able to figure it out). Just forget hiresfix - install the extension ControlNet and search on YouTube /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. gg/u8V7N5C, AMD: https://discord. they will now take the models and loras from your external ssd and use them for your stable diffusion /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. Just wanted to report back here in case anyone stumbles upon this thread in the future. Only local or remote installs may remove the filter currently. Its a collaboration with Huggingface and you'll have to sign-up Linux is much better for AI in general, also for the A770 even more so since Linux also supports more and newer features. if i use the intel iris xe instead (which i believe use 8 gb of ram coz i /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. Here's AUTOMATIC111's guide: Installation on Apple Silicon. py. If Stable Diffusion is just one consideration among many, then an M2 should be fine. Stable Diffusion for Apple Intel Mac's with Tesnsorflow Keras and Metal Shading Language. Download Here. is possible to run stable diffusion with automatic1111 on a mac m1 using its gpu? Share Add a Comment. 3 GHz 8-Core Intel Core i9 - OS: Ventura 13. Intel based Macs currently do not work with Stable Diffusion. Finally you can start a Jupyter Notebook. Those who are into AI art with Stable Diffusion, which version are you running and why? How have your experiences been, especially those with the A750 or A770? In my very brief time with SD, I've found SD. - divamgupta/diffusionbee-stable-diffusion-ui Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Can someone help me to install it on mac or is it even possible. Actually I was just on GitHub trying to submit issues related to me testing Intel's PyTorch and Tensorflow extensions when I saw this; it seems that someone has already ported SD over to the tensorflow framework and so you can probably start using intel's extension for tensorflow with it immediately; and according to this article you can use Intel's extension within WSL under I am currently using a base macbook pro M2 (16gb + 512go) for stable diffusion. In A1111 it generated in 4:24 - 17. Apple computers cost more than the average Windows PC. Yeah, its great the work the openvino guys are doing but honestly for the time being for the best results and most stable experience imo is to use wsl2 with sd. 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. Because I can install all files but I can’t open a batch file on mac. 1 at 1024x1024 which consumes about the same at a batch size of 4. Even on an Apple Silicon mac, things aren't totally optimised at the moment since some stuff runs on the GPU but other stuff on the CPU. I've gotten tired of getting stuff to run on my Mac (M1 Max) and Google colab and want to get a PC to only run SD and other AI projects. Here's my attempt to ELI5 how Stable Diffusion works: Billions of images are scraped from Pinterest, blogs, shopping portals, and other websites. So I was able to run Stable Diffusion on an intel i5, nvidia optimus, 32mb vram (probably 1gb in actual), 8gb ram, non-cuda gpu (limited sampling options) 2012 era While the repo does run on Intel Macs, we only have a couple reports. 8 GHz, Quad Core, 8 Logical Processors, 32 GB RAM, Nvidia Quadro K1000M and Integrated I will buy a new PC and/or M2 mac soon but until then what do I need to install on my Intel Mac (Catalina, Intel HD Graphics 4000 1536 MB, 16GB RAM) VRAM and RAM are most important factors in stable diffusion If I would build a system . Sort by: Stable Diffusion on Intel GPU What's been said many times before is still true: it's all about the GPU. There’s no CUDA on the Mac. Basically what you want is the LSTEIN fork of Stable Diffusion and the BIRCH-SAN fork of K_Diffusion. Even on the M-series Macs, video tends to be very poor There is a new app out for Mac called Guernika using the CoreML functionality from OSX. These images are saved in a database along with their text descriptions (e. for 8x the pixel area. I still have a long way to go for my own advanced techniques but thought this would be helpful. Run Stable Diffusion on your M1 Mac’s GPU (Intel and non-Apple PCs are also supported) - d3vilh/stable-diffusion-howto Hey Reddit! About. There /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 currently own an intel Macbook Pro that runs Windows via Bootcamp. Get used to using the X/Y plot script option right away. r/MacOS • What is best AIMP replacement for MacOS? Recently started trying out Rundiffusion. 1 (22A400) - Graphics: AMD Radeon Pro 5500M 4 GB, Intel UHD Graphics 630 1536 MB - Ram: 16 GB 2667 MHz DDR4 Much appreciated! /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. My daily driver is an M1, and Draw Things is a great app for running Stable Diffusion. Have not tested yet, just wanted to point to that diffusion bee alternative. im planning to get mac mini m2 base model, is it good for running automatic 1111 stable diffusion? Share but I recently built a midrange PC for Stable meh their already are like 4 other verions of this and this one is lacking in so many features, you have Mochi, PromptToImage and DiffusionBee (which doesn't use CoreML) and after that you have InvokeAI which is hands down the best option on mac which it is feature rich with inpainting, samplers, great UI, VAE with the models, best inpainting out there, good upscaler, hello i just installed stable diffusion stable diffusion is like magic the images it makes are top teir quality and creativty i saw some people use prompts on it and it generates in less than 30 seconds this baffled me because mine takes 30 MINUTES is there a way to speed it up? thanks in advance i run an intel i5 6200 u cpu intel integrated I'm planning to upgrade my HP laptop for hosting local LLMs and Stable Diffusion and considering two options: A Windows PC with an i9-14900K processor and NVidia RTX 4080 (16 GB RAM) (Desktop) A MacBook Pro Pricewise, both options are similar. I have a M1 MacBook Pro with macOS Monterey 12. 0. RTX 3060 12GB is usually considered the best value for SD right now. Unfortunately, I don't believe it can be improved easily (at least not with my code) since on an Intel mac everything is running on the CPU. That's the VAE you want. I have a 4-year-old Macbook and it takes anywhere between 4 - 8 minutes per single 512x512 image. 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. comments It's fine. Any idea what is the most popular/stable local install currently? Also what is the minimum spec requirement to run it? /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and /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. Next a little easier to use, but all the tutorials and guides are geared towards Automatic, so it's sometimes difficult to find where the Researchers discover that Stable Diffusion v1 uses internal representations of 3D geometry when generating an image. This ability emerged during the training phase of the AI, and was not programmed by people. Hey everyone, Tried everything and still can’t use Stable Diffusion on my computer. I will also be trying to get SD to work on an Intel Arc A770 16GB (side goal is cross platform compatibility, and /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 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). Run Stable Diffusion on Intel CPUs (and still relatively fast!) github. 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. Is it the Automatic1111 thing? If so, where would I find that info? /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 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 do run into memory limits when trying to do things like animatediff at higher resolutions - basically working on batches of images as opposed to singles. upvotes The community for everything related to Apple's Mac computers! Members Online Don't worry if you don't feel like learning all of this just for Stable Diffusion. Stable Diffusion Tutorial: Mastering the Basics (DrawThings on Mac) I made a video tutorial for beginners looking to get started using Draw Things (on Mac). I’m looking for a prebuilt package to run Stable Diffusion on my iMac (Intel Core I Gen5 / 16GB RAM) with Monterey 12. From the invokeai github. I heard that pytorch updated to include apple MDS in the latest nightly release Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. https://egpu. Linux is much better for AI in general, also for the A770 even more so since Linux also supports more and newer features. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation 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 agree that buying a Mac to use Stable Diffusion is not the best choice. And when you're feeling a bit more confident, here's a thread on How to improve performance on M1 / M2 Macs that gets into file tweaks. I'd steer clear of Comfy/A1111 for now. Intel's CPUs (i5, i7, i9, etc. 44 s/it (yes, I know, it's awfully slow :) ). Hi, I am seeing this AI model is being used with Nvidia cards a lot. Can anyone tell me which installer works for a Mac with these specs: - Engine: 2. Removal using the original CompVis Repo To keep using Stable Diffusion at a reasonable speed, I was thinking of installing my old 2060 in a homeserver I have. but the main difference is that Linux is much more stable, and much more efficient with ram, cpu calls, and communicating between the View community ranking In the Top 1% of largest communities on Reddit. Stable Diffusion XL on Intel Arc . For the VRAM usage; SDNext doesn't clear up VRAM if it's not above %90. A1111 is poorly optimized for Macs, and Comfy has a steep learning curve. However, looking around the web, it looks like the main app isn't compatible with Intel Stable Diffusion for Apple Intel Mac's with Tesnsorflow Keras and Metal Shading Language. I have an M1 MacBook Pro. gg/EfCYAJW Do not send modmails to join, we will not accept /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. Use the installer instead if you want a more conventional folder install that runs in a web browser. Even on the M-series Macs, video tends to be very poor I've also read that DiffusionBee works on Intel Macs. 5 added - Separate UI for inpainting Note: The intel version is experimental and does not work with AMD GPUs /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 am trying to generate a video through deforum however the video is getting stuck at this point and the Mac is, relatively speaking, a fairly small slice of the pie. I've been working on an implementation of Stable Diffusion on Intel Mac's, specifically using Apple's Metal (known as Metal Performance I’ve heard it is possible to run Stable-Diffusion on Mac Silicon (albeit slowly), would be good to include basic setup and instructions to do this. There are SD implementations on the Mac that do not use PyTorch and do not need NVidia cards. But it is trivial to try. However, the MacBook Pro might offer more benefits for coding and portability. For the benchmarks; Don't use the first run, IPEX has warmup time too. Features. I run windows on my machine as well but since I have an AMD graphics card think I am out of luck, my card is an M395x which doesn‘t seem to be supported even with the AMD hacks. I also want to do dreambooth. The ML update for apple showed SD running amazing in a base m2 mbp. com /cmdr2 /r/StableDiffusion is back open after the protest of Reddit killing open API access, which Your time of 13s/it is not bad at all on an Intel mac. SD on Intel Mac AMD Vega I don't see anything for Intel Mac with AMD. i mean the webui folder and stuff is like 5gb just have that on your normal ssd and put the loras and checkpoints on the drive and put --lora-dir "D:\LoRa folder and --ckpt-dir "your checkpoint folder in here" in commandline args to connect em. Any tips on how to get closer to the 30 seconds or so Ive read is possible? Must be related to Stable Diffusion in some way, comparisons with other AI generation platforms are accepted. Members Online Intel's Snake Oil & Completely Ludicrous Marketing Then you'll create & activate the environment, clone the git, install the packages, all these executable strings you can copy and paste to a CMD command prompt window. Downsides: closed Hello, just recently installed Fooocus on my M1 Pro macbook, and I'm getting around 130s/it, which is just sad to say the least. Stable Diffusion Web UI Docker for Intel Arc GPUs Documentation Getting Started FAQ Release Notes The docker image includes Intel oneAPI DPC++ runtime libs (Note: compiler executables are not included) Intel oneAPI MKL runtime libs Intel oneAPI compiler common tool sycl-ls Intel Graphics driver Basic python environment I want to get into stable diffusion, it seems Intel Arc is getting better support on Linux(at least on Ubuntu) within a decent price range for GPUs. There was some of talks in the ZLUDA camp about support for "Intel's new architecture" when it comes out, but the project itself seems to be dormant for 2 years Apple Silicon was strongly recommended for SD 1. Also DiffusionBee lacks features such as being able to specify a seed. Internet Culture (Viral) Amazing; SR-IOV for Intel iGPU on Alder Lake (i915). Unless you have the highest configuration or something like that. ). 1. I'm running SD on a 2017 Macbook Pro running Ventura 13. It’s meant to be a quick guide in making good images right away and not all encompassing. Hey friends, I am a dolt and new to SD and its clear from what I've read here and elsewhere that Mac is much worse for Automatic 1111 than PC. 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. I failed to make any generation on her machine. Reply It's the same reason AMD is still far behind, and intel gpus are basically useless, even with openvino. I have a 2019 MacBook Pro with the following specs: Processor: 2. Considering that SDXL is considerably more resource intensive, I would expect it to be beyond an Intel Mac’s capabilities. That's what I have. As CPU shares the workload during batch conversion and probably other tasks I'm skeptical. io/ is probably best place for research. 1 ; Any help would be much appreciated ! I'm wanting to run SD and dreambooth locally but currently own an Intel/amd Mac. . More posts you may like. I also still have to do work on my Mac, Stable Diffusion runs like a dog on a 16GB M1 Air. webui Then you'll create & activate the environment, clone the git, install the packages, all these executable strings you can copy and paste to a CMD command prompt window. Run Stable Diffusion on your M1 Mac’s GPU (Intel and non-Apple PCs are also supported) Topics. OK so the instructions do not help at all. so I'm going to be systematically testing this. https://lemmy View community ranking In the Top 1% of largest communities on Reddit. Hi,So here is the scoop. Because I couldn't Install any cpu-only version in that old mac (it is not M1 or M2). https://lemmy. I'm so frustrated! It won't let me install xformers because I'm on an intel graphics card and can't afford a different video card. Recommend MochiDiffusion (really, really good and well maintained app by a great developer) as it runs natively and with CoreML models. Here is a handy decoder ring for NVidia (i have one for Intel and AMD as well) GeForce = Consumer grade card, has video out, better shader performance (not really /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. ai's API endpoints? Or perhaps there's a lighter-weight "frontend only" solution for this? Any guides for any of this? I mention the Intel Mac in the title, since part of this issue is that generation would be quite slow on my 2017 intel MacBook Pro. 15 s/it on Comfyui. Intel has a sample tutorial Jupyter Notebook for Stable Diffusion #225. Links to different 3D models, images, articles, and videos related to 3D photogrammetry are highly encouraged, e. A1111 takes about 10-15 sec and Vlad and Comfyui about 6-8 seconds for a Euler A 20 step 512x512 generation. I bought both new, and chose the Core X because it also supports a possible upgrade to a 24GB RTX 3090 at some point. DiffusionBee now supports Intel How to install and run Stable Diffusion on Apple Silicon M1/M2 Macs. I'm an everyday terminal user (and I hadn't even heard of Pinokio before), so running everything from terminal is natural for me. Sure it's not blazing fast, but /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 then tried running the ComfyUI with the python main. I'm sure there are windows laptop at half the price point of this For tools like Automatic1111 and InvokeAI, is it possible to point to Stability. I was wondering would the 8 GB(A750 and A770) Arc GPU would be good enough for stable diffusion or just go for the 16 GB(A770). 6. nioimh lrkomak oghyyf ujhg qydvijo otxm ttqg pcfdm iaighl qfnqv