From what I can tell the camera movement drastically impacts the final output. Juggernaut XL: Best Stable Diffusion model for photography 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 use the paperspace $8/month plan with a1111. edit: never mind. Some friends and I are building a Mac app that lets you connect different generative AI models in a single platform. A problem occurred in a Python script. Just get something with a NVidia RTX 3060. As Diffusion Bee is not supported on Intel processors. old" and execute a1111 on external one) if it works or not. u/mattbisme suggests the M2 Neural are a factor with DT (thanks). /run_webui_mac. it will even auto-download the SDXL 1. 1 or V2. 0ghz. View community ranking In the Top 1% of largest communities on Reddit. You may have to give permissions in Sep 3, 2023 · But in the same way that there are workarounds for high-powered gaming on a Mac, there are ways to run Stable Diffusion—especially its new and powerful SDXL model. It is nowhere near it/s that some guys report here. 5 in about 30 seconds… on an M1 MacBook Air. A 512x512 image takes about 3 seconds, using a 6800 xt GPU. Then, earlier today, I discovered Analog Diffusion and Wavy Fusion, both by the same author, both of which - at least at first sight - come close to what I was going for with my own experiments. How do you think a MacBook Pros (I'm thinking M3 pro) compare to Windows laptops when it comes to training/inference Stable Diffusion models? I know that for training big projects a laptop is not feasible anyway, and I probably have to find a server. Whenever I search this subreddit or the wider web, I seem to get different opinions about whether stable diffusion works with AMD! It's really frustrating - because I don't know whether to upgrade my RTX 3070 to an RTX 3090 - or to get an 7900 XTX. If you are serious about image generation then this is a pretty good thin and light laptop to have. Get the 2. But my 1500€ pc with an rtx3070ti is way faster. I have it running on mac and there are a few guides online for Automatic 1111. CHARL-E is available for M1 too. Solid Diffusion is likely too demanding for an intel mac since it’s even more resource hungry than Invoke. I installed it on an M1 Mini with 16GB just last night. 4 core 3. when fine-tuning SDXL at 256x256 it consumes about 57GiB of VRAM at a batch size of 4. r/StableDiffusion • 9 mo. 23 to 0. . 2. It takes about a minute to make a 512x512 image, using a 5900x processor. Add a Comment. Diffusionbee is a good starting point on Mac. It allows very easy and user-friendly Stable Diffusion generations. This is not a tutorial just some personal experience. 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. When I just started out using stable diffusion on my intel AMD Mac, I got a decent speed of 1. Excellent quality results. I'm hoping that an update to Automatic1111 will happen soon to address the issue. This image took about 5 minutes, which is slow for my taste. Hello r/StableDiffsuion ! I would like to share with you the AI Dreamer iOS/macOS app. 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. 4. For reference, I can generate ten 25 step images in 3 minutes and 4 seconds, which means 1. • 10 mo. 0 diffusers/refiners/loras for you. Ok_Welder_4616. Negative text prompt. /webui. 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. The prompt was "A meandering path in autumn with Unzip it (you'll get realesrgan-ncnn-vulkan-20220424-macos) and move realesrgan-ncnn-vulkaninside stable-diffusion (this project folder). Which is the best stable diffusion repo i can use? Automatic1111, neonsecret? I work on Colab and usually use the automatic1111, i tried to implement xformers and found out that there are so many repositories, which is the best one? 2. 2 TB M2 NVME or more ( filled 1 TB and I am just a casual user ) GPU nvidia 16GB VRAM. I would say about 20-30 seconds for a 512x512. Thanks. • 5 mo. 1 beta model which allows for queueing your prompts. A few months ago, I built a midrange PC to use primarily for Stable Diffusion, so here's my perspective. Before you do anything else, I would try downloading Draw Things from the app store. You can get SD repos running on windows, but you have to use ONNX, which is dogwater because it only processes on a CPU. Intresting to know If u can use a cloud gpu as an internal GPU. Download Here. First Part- Using Stable Diffusion in Linux. Run chmod u+x realesrgan-ncnn-vulkan to allow it to be run. 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 at 1024x1024 which consumes about the same at a batch size of 4. Here are some of the best Stable Diffusion implementations for Apple Silicon Mac users, tailored to a mix of needs and goals. 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). However, I would still ship with a default model built-in as I want a great first-time experience. Running it on my M1 Max and it is producing incredible images at a rate of about 2 minutes per image. 0-RC , its taking only 7. 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’ll be able to run Stable Diffusion using things like InvokeAI, Draw Things (App Store), and Diffusion Bee (Open source / GitHub). Did someone have a working tutorial? Thanks. . I plan to add support for custom models. I copied his settings and just like him made a 512*512 image with 30 steps, it took 3 seconds flat (no joke) while it takes him at least 9 seconds. Follow step 4 of the website using these commands in these order. Welcome to try OneFlow Stable Diffusion and make your own masterpiece using Docker! all you need is to execute the following snippet: docker run --rm -it \. ago. Is it possible to do any better on a Mac at the moment? Got the stable diffusion WebUI Running on my Mac (M2). Going forward --opt-split-attention-v1 will not be recommended. If you want something more powerful, get something with a 3090. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. 3s/it, much more faster than before! but it now produce poor quality pics, I'm not sure if it's the prompts' fault or the option do harm to the quality of result. 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. The more VRAM the better. 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. 5 Share. Generate AI image. or. And, as always, you can put your own . Best. Stable Diffusion for Apple Intel Mac's with Tesnsorflow Keras and Metal Shading Language. It's a (free) native Mac app, and last time I checked it was much better optimized than Automatic. Feb 29, 2024 · I'm debating between these two options so far: M3 Pro 14" (Top) 12/18. 32 GB RAM 36000. 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. DarthChief394. I find the results interesting for comparison; hopefully others will too. Also a decent update even if you were already on an M1/M2 Mac, since it adds the ability to queue up to 14 takes on a given prompt in the “advanced options” popover, as well as a gallery view of your history so it doesn’t immediately discard anything you didn’t save right away. If you ask in videogames subreddits, they will say that 4060 ti is not a good buy, because they look to other things. ai right now. I think it will work with te possibility of 95% over. That worked, kinda but took 20-30 minutes to generate an image were before Mac Sonoma update I could create an image in 1-2 minutes, still slow comparatively to Nvida driven PCs, but still useable for my needs and playing around. Perhaps that is a bit outside your budget, but just saying you can do way better than 6gb if you look Resolution is limited to square 512. $1K will do just fine (I just bought and set up a $1k PC for SD for a nephew). I like how you're sticking with a "common" base like Gradio, and I think your project could be very useful for designers that use Macs, but still Training on M1/M2 Macs? 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. • 1 yr. Test the function. pintong. Also, are other training methods still useful on top of the larger models? For the price of your Apple m2 pro, you can get a laptop with a 4080 inside. Using InvokeAI, I can generate 512x512 images using SD 1. For me it is manjaro. I still have a long way to go for my own advanced techniques but thought this would be helpful. I will go intel for stability. We would like to show you a description here but the site won’t allow us. On Apple Silicon macOS, nothing compares with u/liuliu's Draw Things app for speed. 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. 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. /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 If you're changing operating systems anyway, might as well go to Linux; AI tools are generally easier to install and run in Linux. There's many popular checkpoints that are already converted and available on HuggingFace that I'm looking to try, but Mochi, DrawThings and the other GUIs on the Mac are simply hideous to work with. First: cd ~/stable-diffusion-webui. (rename the original folder adding ". What Mac are you 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. I've been working on an implementation of Stable Diffusion on Intel Mac's, specifically using Apple's Metal (known as Metal Performance Shaders), their language for talking to AMD GPU's and Silicon GPUs. You can play your favorite games remotely while you are away. 2. 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. " but where do I find the file that contains "launch" or the "share=false". 36GB/1TB. 74 s/it). My current Mac is a no potato but it's sufficient to learn (been using windows under boot camp). Reply. -v ${HF_HOME}:${HF_HOME} \. ) This new UI is so awesome. There's an app called DiffusionBee that works okay for my limited uses. No, you don't need a $3k PC. Move the Real-ESRGAN model files from realesrgan-ncnn-vulkan-20220424-macos/models into stable-diffusion/models. --gpus all --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 \. I haven't yet decided exactly how it should work. 6. Automatic 1111 should run normally at this It costs like 7k$. I will be upgrading, but if I can't get this figured out on a Mac, I'll probably switch to a PC even though I would really like to stay with a mac. I'm using Vast. 1. Offshore-Trash. 5GB vram and swapping refiner too , use --medvram-sdxl flag when starting 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. M3 Max 14" (Base) 14/30. Highly recom 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). THX <3 /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 won't go into the details of how creating with Stable Diffusion works because you obviously know the drill. Like even changing the strength multiplier from 0. MetalDiffusion. Features: - Negative prompt and guidance scale - Multiple images - Image to Image - Support for custom models including models with custom output resolution Mar 4, 2024 · 3. 3 — selectable as models to download by default in addition to the original stable diffusion ckpts. Enjoy the saved space of 350G(my case) and faster performance. Pricewise, both options are similar. If both doesn't work, idk man try to dump this line somewhere: ~/stable-diffusion-webui/webui. 25 leads to way different results both in the images created and how they blend together over time. ). If you ask for the better, 4090. After that, copy the Local URL link from terminal and dump it into a web browser. This is considering that this is r/StableDiffusion . PSPlay/ MirrorPlay has been optimized to provide streaming experiences with the lowest possible latency. r/StableDiffusion. Legal_Mattersey. I have a lenovo legion 7 with 3080 16gb, and while I'm very happy with it, using it for stable diffusion inference showed me the real gap in performance between laptop and regular GPUs. sh. As everyone here knows, the dreamers want just two things to be happy: giant mechas and cute anime girls. But for training small models or inference, is a MacBook good enough? Select your OS, for example Windows. For serious stable diffusion use, of course you should consider the M3 Pro or M3 PromptToImage is a free and open source Stable Diffusion app for macOS. 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. for 8x the pixel area. now I wanna be able to use my phones browser to play around. Well when I was talking about money, I was really thinking about a ceiling of about 2000:-D. update: I'm using the web-ui, the --opt-split-attention-v1 helps a lot, now I'm on 1. But you can find a good model and start churning out nice 600 x 800 images, if you're patient. Its 9 quick steps, you'll need to install Git, Python, and Microsoft visual studio C++. py in TxtToImage () 672 p. I've recently beenexperimenting with Dreambooth to create a high quality general purpose model that I could use as a default instead of any of the official models. It's way faster than anything else I've tried. It is a native Swift/AppKit app, it uses CoreML models to achieve the best performances on Apple Silicon. I don't know why. Free & open source Exclusively for Apple Silicon Mac users (no web apps) Native Mac app using Core ML (rather than PyTorch, etc) The compiler can allow any PyTorch frontend-built models to run faster on NVIDIA GPUs. VRAM and RAM are most important factors in stable diffusion. Use --disable-nan-check commandline argument to /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. This is on an identical mac, the 8gb m1 2020 air. water cooling. • 2 yr. Well, I know you said "right now", but they just announced RTX 6000, with an outrageous number of cuda and tensor cores. best mac m1 apps for sd? i want to inpaint. Fast, stable, and with a very-responsive developer (has a discord). : r/StableDiffusion. Highly recommend! edit: just use the Linux installation instructions. when launching SD via Terminal it says: "To create a public link, set `share=True` in `launch()`. Anything v5: Best Stable Diffusion model for anime styles and cartoonish appearance. 2-1. Cloned repo of A1111, downloaded models via wget command and launched with --listen argument. 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. 36 it/s (0. I dont know if that works. 😳 In the meantime, there are other ways to play around with Stable Diffusion. 5. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. The feature set is still limited and there are some bugs in the UI, but the pace of development seems pretty fast. I discovered DiffusionBee but it didn't support V2. Here is the sequence of. Though, I wouldn’t 100% recommend it yet, since it is rather slow compared to DiffusionBee which can prioritize EGPU and is /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. Stable Diffusion for Mac M1 Air : r/StableDiffusion. Remove the old or bkup it. by WorkerExpensive4285. It is still behind because it is Optimized for CUDA and there hasn’t been enough community efforts to optimize on it because it isn’t fully open source. Realistic Vision: Best realistic model for Stable Diffusion, capable of generating realistic humans. DreamShaper: Best Stable Diffusion model for fantastical and illustration realms and sci-fi scenes. My intention is to use Automatic1111 to be able to use more cutting-edge solutions that (the excellent) DrawThings allows. Example Costco has MSI Vector GP66 with NVIDIA® GeForce RTX ™ 3080Ti, 16GB - for $1850+tax. ckpt file as I really want to do this on my Mac but diffusion bee seems broken (can't import new models). compare that to fine-tuning SD 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. Now we have both — nousr's Robo-Diffusion and hakurei's brand new Waifu-Diffusion v1. Features. With the same gpu, I use Ubuntu 22 - mostly because of the side bar as I have a UW monitor as well. If I would build a system . The difference is $450CAD, which I'm inclined to spend to get the Max. 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 We would like to show you a description here but the site won’t allow us. 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). It's greatest advantage over the competition is it's speed (>30it/s) . C:\Users\USUARIO\AppData\Roaming\krita\pykrita\stable_diffusion_krita\sd_main. which laptop is best for this? r/StableDiffusion • finally , AUTOMATIC1111 has fixed high VRAM issue in Pre-release version 1. Diffusion Bee: uses the standard one-click DMG install for M1/Mw Macs. RTX 6000. Reply reply. AUTOMATIC1111 is a powerful Stable Diffusion Web User Interface (WebUI) that uses the capabilities of the Gradio library. 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. If you got $5000 laying around, that's your baby. Transeunte77 • 4 mo. Most AI artists use this WebUI (as do I), but it does require a bit of know-how to get started. true. ago • Edited 2 yr. This is a major update to the one I Copy the folder "stable-diffusion-webui" to the external drive's folder. Pretty comparable speeds to its equivalent NVIDIA cards. Second: . Well you haven't mentioned actual budget numbers - but with the Windows laptop you can/should do better than 6gb VRAM. function calls leading up to the error, in the order they occurred. Fast, can choose CPU & neural engine for balance of good speed & low energy -diffusion bee: for features still yet to add to MD like in/out painting, etc. Settings for sampling method, sampling steps, resolution, etc. 8it/s, which takes 30-40s for a 512x512 image| 25 steps| no control net, is fine for an AMD 6800xt, I guess. It seems from the videos I see that other people are able to get an image almost instantly. Invoke ai works on my intel mac with an RX 5700 XT in my GPU (with some freezes depending on the model). It's the 'ThinkPad P16 Gen 2' You can also choose to buy 2 of them to train simultaneously on 2 systems but it's gonna cost 26,000$. I was reading about how to use it while the image was processing so it didn't seem like a big deal - I'm also old so anything that doesn't make me wait seems fast, lol. However, the MacBook Pro might offer more benefits for coding and portability. Here are my suggestions: A quick google (you should try this website) shows me a 13,000$ laptop from Lenovo with 128gb RAM and 16gb VRAM. Sort by: Add a Comment. I have created instance which uses A40 GPU with 40GB VRAM. If you ask for quality /price, 4060 ti 16gbs. r/StableDiffusion • MASSIVE SDXL ARTIST COMPARISON: I tried out 208 different artist names with the same subject prompt for SDXL. That’s why we’ve seen much more performance gains with AMD on Linux than with Metal on Mac. cfg_value=data ["cfg_value"] 673 images = runSD (p) Fastest Stable Diffusion on M2 ultra mac? I'm running A1111 webUI though Pinokio. it's so easy to install and to use. I didn't see the -unfiltered- portion of your question. 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. /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. It’s meant to be a quick guide in making good images right away and not all encompassing. Posted by u/Consistent-Ad-2454 - 1 vote and 14 comments This is Reddit's home for Computer Role Playing Games, better known as the CRPG subgenre! CRPGs are characterized by the adaptation of pen-and-paper RPG, or tabletop RPGs, to computers (and later, consoles. You won't have all the options in Automatic, you can't do SDXL, and working with Loras requires extra steps. The_Lovely_Blue_Faux • 17 min.
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