Best stable diffusion for mac reddit. The Draw Things app makes it really easy to run too.

edit: never mind. I need to compare overall times properly. But I think it still isn't mature enough to warrant a port (still need to figure out how to solve the tiling artifact issues and how to further optimize it to consumer GPUs), plus I don't have experience porting things over to automatic and I would need insights from someone with more expertise on how to deal with installing dependencies there, for example. 5. 6. the trigger prompt "subjectname" for the specific subject followed by 3. EDIT TO ADD: I have no reason to believe that Comfy is going to be any easier to install or use on Windows than it will on Mac. It's greatest advantage over the competition is it's speed (>30it/s) . After that, copy the Local URL link from terminal and dump it into a web browser. For me, if you get everything worked out with CUDA, NVIDIA GPU was slightly faster. It's way faster than anything else I've tried. I’ve the default settings. Com is the residence of NSFW individuals. runs solid. If it had a fan I wouldn't worry about it. I have yet to see any automatic sampler perform better than 3. 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. When automatic works, it works much, much slower that diffusion bee. Use --disable-nan-check commandline argument to I’ve dug through every tutorial I can find but they all end in failed installations and a garbled terminal. Sep 3, 2023 · Diffusion Bee: Peak Mac experience Diffusion Bee. 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. The feature set is still limited and there are some bugs in the UI, but the pace of development seems pretty fast. I have been trying to find some of the best model sets for abstract horror images. Which features work and which don’t change from release to release with no documentation. I'm running an M1 Max with 64GB of RAM so the machine should be capable. A lot of people seem down on it. so which GUI in your opinion is the best (user friendly, has the most utilities, less buggy etc) personally, i am using cmdr2's GUI and im happy with it, just wanted to explore other options as well Must be related to Stable Diffusion in some way, comparisons with other AI generation platforms are accepted. From what I can tell the camera movement drastically impacts the final output. This actual makes a Mac more affordable in this category You can play your favorite games remotely while you are away. hi everyone! I've been using the WebUI Automatic1111 Stable Diffusion on my Mac M1 chip to generate image. Hi All. Dreambooth Probably won't work unless you have greater than 12GB Ram. 2 Be respectful and follow Reddit's Content Policy. You may have to give permissions in Diffusion Bee does have a few control net options - not many, but the ones it has work. Sorry. Is there any easy way I can use my pc and gave good looking (realistic) ai images or not. 0, you get a scary monster. If your laptop overheats, it will shut down automatically to prevent any possible damage. In the video I mention gen times were slow on Mac but that was just on the initial run. There's an app called DiffusionBee that works okay for my limited uses. Honestly, I think the M1 Air ends up cooking the battery under heavy load. Like others said; 8 GB is likely only enough for 7B models which need around 4 GB of RAM to run. I've been wanting to train my own model to use specific people such as myself, and it doesn't seem particularly hard, though i have a mac. :-) 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. As for 13B models, even when quantized with smaller q3_k quantizations will need minimum 7GB of RAM and would not The three major forks are vladmantic, anapnoe and lshqqytiger ones. . Some friends and I are building a Mac app that lets you connect different generative AI models in a single platform. com /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 me the best option at the moment seems to be Draw Things (free app from App Store). Move the Real-ESRGAN model files from realesrgan-ncnn-vulkan-20220424-macos/models into stable-diffusion/models. This ability emerged during the training phase of the AI, and was not programmed by people. All of the good ai sites require paid subs to use, but I also have a fairly beefy pc. On Apple Silicon macOS, nothing compares with u/liuliu's Draw Things app for speed. update: I'm using the web-ui, the --opt-split-attention-v1 helps a lot, now I'm on 1. liner. /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 Share. I started working with Stable Diffusion some days ago and really enjoy all the possibilities. 1. It takes about a minute to make a 512x512 image, using a 5900x processor. Like even changing the strength multiplier from 0. 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 Samsung laptop. FlishFlashman. A 25-step 1024x1024 SDXL image takes less than two minutes for me. 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. Paper: "Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model". 25 leads to way different results both in the images created and how they blend together over time. The Draw Things app makes it really easy to run too. sh script. Second: . I need to use a MacBook Pro for my work and they reimbursed me for this one. What is cool is vlad is really open to collaboration and DirectML was merged to it (as well as ROCm, Intel Arc and M1/M2 support). Vlad’s is basically improvements, upgrades and fixes quickly. I checked on the GitHub and it appears there are a huge number of outstanding issues and not many recent commits. swittk. **Please do not message asking to be added to the subreddit. Macs can do it, but speed wise your paying rtx 3070 prices for gtx 1660/1060 speed if your buying a laptop, the Mac mini is priced more reasonable but you'll always get more performance cheaper if you buy pc with an Nvidia gpu. No, software can’t damage physically a computer, let’s stop with this myth. • 1 yr. Award. A Mac mini is a very affordable way to efficiently run Stable Diffusion locally. Look for high number of CUDA cores and VRAM. 0. So this is it. Fastest+cutting edge+ most cost effective: pc with an Nvidia graphics card. Yes, sd on a Mac isn't going to be good. I really like the idea of Stable Diffusion. 0005, text encoder Best WebUI for PC. Features: - Negative prompt and guidance scale - Multiple images - Image to Image - Support for custom models including models with custom output resolution 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. On a Mac, Some of them work and some of them don’t. Downsides: closed source, missing some exotic features, has an idiosyncratic UI. -I DLed a Lora of pulp art diffusion & vivid watercolour & neither of them seem to affect the generated image even at 100% while using generic stable diffusion v1. 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. (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. TL;DR Stable Diffusion runs great on my M1 Macs. • 2 yr. MAC felt a lot more intuitive to get started with and very little setup needed. This image took about 5 minutes, which is slow for my taste. Nicely done, good work in here. Hello r/StableDiffsuion ! I would like to share with you the AI Dreamer iOS/macOS app. What Mac are you using? Reply. for M1 owners, invoke is probably better. PSPlay/ MirrorPlay has been optimized to provide streaming experiences with the lowest possible latency. 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. Not entirely sure if she's meant to be flashing the viewer, or if her legs just begin below her skirt, but otherwise - nice work. Run chmod u+x realesrgan-ncnn-vulkan to allow it to be run. I've recently trained the following: 150 images, 2 repeats, 12 epochs - epoch 8 turned out best (super flexible) 100~ images, 3 repeats, 12 epochs - epoch 11 was best 36 images, 8 repeats, 12 epochs - 11 was "best" (but harder to use) 700 images, 1 repeat, 12 epochs - 8 was best, 1800~ steps, I use a Unet Learning Rate of 0. I didn't see the -unfiltered- portion of your question. A 512x512 image takes about 3 seconds, using a 6800 xt GPU. Pretty comparable speeds to its equivalent NVIDIA cards. I'm currently using Automatic on a MAC OS, but having numerous problems. But I have a MacBook Pro M2. is there any tool or program that would allow me to use my trained model with stable diffusion? 1. You'll also likely be stuck using CPU inference since Metal can allocate at most 50% of currently available RAM. There's no need to mess with command lines, complicated interfaces, library installations, intricate settings, or ugly GUIs. If you're comfortable with running it with some helper tools, that's fine. 23 to 0. The prompt was "A meandering path in autumn with 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. We would like to show you a description here but the site won’t allow us. Anybody know how to successfully run dreambooth on a m1 mac? Or Automatic1111 for that matter but at least there’s DiffusionBee rn. It allows very easy and user-friendly Stable Diffusion generations. 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. 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. Can someone help me to install it on mac or is it even possible. Especially with tokens of emotions. It is a native Swift/AppKit app, it uses CoreML models to achieve the best performances on Apple Silicon. List of the best adult content filtering models. Automatic has more features. the general type of image, a "close-up photo", 2. I won't go into the details of how creating with Stable Diffusion works because you obviously know the drill. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. I still don’t think Mac is a good or valuable option at the moment for Stable Diffusion. 5 sec/it and some of them take as many 7 hours ago · use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" site:example. a number of tags from the wd14-convnext interrogator (A1111 Tagger I tried automatic1111 and ComfyUI with SDXL 1. It’s fast, free, and frequently updated. View community ranking In the Top 1% of largest communities on Reddit what are best options for mac intel stable diffusion? comments sorted by Best Top New Controversial Q&A Add a Comment im running it on an M1 16g ram mac mini. Reply. One of the more useful posts there is about using ChatGPT to create prompts by 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'm currently attempting a Lensa work around with image to image (insert custom faces into trained models). List of Not Safe for Work Stable Diffusion prompts. ai and mac. I would like to speed up the whole processes without buying me a new system (like Windows). Highly recom 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. Because I can install all files but I can’t open a batch file on mac. I tried but ultimately failed. a plain text description of the image, based on the CLIP interrogator (A1111 img2img tab) and lastly 5. If both doesn't work, idk man try to dump this line somewhere: ~/stable-diffusion-webui/webui. 1 is fantastic for horror. It contains 1. Automatic 1111 should run normally at this I'm not sure the best, but one of the worst (right now) is ai prompts. I installed ROCm the AMD alternative for CUDA but couldn't even run pre trained models because of low GPU memory (I have 1GB on my laptop GPU). For now I am working on a Mac Studio (M1 Max, 64 Gig) and it's okay-ish. Stable Diffusion Dream Script: This is the original site/script for supporting macOS. Invoke is a good option to improve details with img2img your generated art afterwards. 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. ago • Edited 2 yr. Offshore-Trash. Learn how to use the Ultimate UI, a sleek and intuitive interface. Join the discussion on Stable Diffusion, a revolutionary technique for image editing and restoration. /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 We would like to show you a description here but the site won’t allow us. 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. 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. A 1024*1024 image with SDXL base + Refiner models takes just under 1 min 30 sec on a Mac Mini M2 Pro 32 GB. And before you as, no, I can't change it. Local vs Cloud rendering. Anapnoe’s is whole rebuilt UI and Lshqqytiger’s is DirectML integration. If you're contemplating a new PC for some reason ANYWAY, speccing it out for stable diffusion makes sense. A gaming laptop would work fine too, with a Nvidia card, I guess with the 40-series would be ‘best’. Diffusion Bee epitomizes one of Apple’s most famous slogans: it just works. First: cd ~/stable-diffusion-webui. Been playing around with SD just in DiffusionBee on a Mac, but new high end PC gets delivered next week so wondering what people’s thoughts are on the best WebUI. Excellent quality results. Follow step 4 of the website using these commands in these order. 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. 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. ) Don't worry if you don't feel like learning all of this just for Stable Diffusion. DiffusionBee takes less than a minute for 512x512 50steps image while the smallest size in fooocus takes close to 50 minutes. But my 1500€ pc with an rtx3070ti is way faster. I'm an everyday terminal user (and I hadn't even heard of Pinokio before), so running everything from terminal is natural for me. I'm keen on generating images with a very distinct style, which is why I've gravitated towards Stable Diffusion, allowing me to use trained models and/or my own models. Fast, stable, and with a very-responsive developer (has a discord). Thanks been using on my mac its pretty impressive despite its weird GUI. Diffusion Bee: uses the standard one-click DMG install for M1/Mw Macs. I've been making it since 1. It is by far the cleanest and most aesthetically pleasing app in the realm of Stable Diffusion. Have played about with Automatic1111 a little but not sure if that’s seen as the ‘standard’. PromptToImage is a free and open source Stable Diffusion app for macOS. CHARL-E is available for M1 too. Civitai. Researchers discover that Stable Diffusion v1 uses internal representations of 3D geometry when generating an image. There are several alternative solutions like DiffusionBee This community has shut down and will not grant access requests during the protest. i have models downloaded from civitai. Sort by: /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. Yes actually! We plan on doing Mac and Windows releases in the near future. To activate the webui, navigate to the /stable-diffusion-webui directory and run the run_webui_mac. I have InvokeAI and Auto1111 seemingly successfully set up on my machine. sh. You also can’t disregard that Apple’s M chips actually have dedicated neural processing for ML/AI. We want to stabilize the Windows version first (so we aren't debugging random issues x3). anyone know if theres a way to use dreambooth with diffusionbee. A1111 is state of the art. List of Not Safe for Work Stable Diffusion Long Range Radios. These are the specs on MacBook: 16", 96gb memory, 2 TB hard drive. You can get SD repos running on windows, but you have to use ONNX, which is dogwater because it only processes on a CPU. Unzip it (you'll get realesrgan-ncnn-vulkan-20220424-macos) and move realesrgan-ncnn-vulkaninside stable-diffusion (this project folder). There are only a few prompts right now, but is a project I'm slowly contributing to build a repository of useful prompt info. ago. They have a web-based UI (as well as command-line scripts) and a lot of documentation on how to get things working. Automatic1111 vs comfyui for Mac OS Silicon. What Mac are you using? How to use Draw Things on Mac? -There’s no tutorial I can find. Stable Diffusion Workflow (step-by-step example) Hopefully able to remember where I bookmark this for the next noobie to come along. ** ‌ /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 tools, and It costs like 7k$. DiffusionBee - Stable Diffusion GUI App for M1 Mac. 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. Going forward --opt-split-attention-v1 will not be recommended. Civitai will only display the NSFW models to users who possess an account. CUDA is honestly a pain to setup though. Once have a more or less stable version, it's set up in a way that it's easy to transition to Mac. Go to your SD directory /stable-diffusion-webui and find the file webui. the class prompt "person", 4. However, I am not! That's the idea, yeah. The Draw Things app is the best way to use Stable Diffusion on Mac and iOS. Otherwise I use Mac for almost everything from music production to photoshop work. 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. 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. All I know about horror is when you make tokens with weight around 2. It already supports SDXL. 4 and the newer versions of SD keep getting better. I'm hoping that an update to Automatic1111 will happen soon to address the issue. My question is, what exactly can you do with stable diffusion. I'm very interested in using Stable Diffusion for a number of professional and personal (ha, ha) applications. /webui. py, for example: export COMMANDLINE_ARGS="--medvram --opt-split-attention" 13 #export COMMANDLINE_ARGS="" Aug 4, 2023 · List of Not Safe for Work Stable Dissemination models. However, with an AMD GPU, setting it up locally has been more challenging than anticipated. It includes the full prompts, negative prompts and other settings. Share. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. wm oj dz ft qn ov ep kc az at