Stable diffusion models reddit

" Should I just go to that particular model's image online, and search for a prompt that has a similar looking image? The image quality this model can achieve when you go up to 20+ steps is astonishing. Lots of SD models including, but not limited to Realistic Vision 2, Rev Animated, Lyriel, are much better than MJ with the right prompts and settings. I'm not sure how you could compare models this way. ago. • 1 yr. There's many generalist models now, which one have you found to be the best? And do you find them to be better than normal Stable Diffusion? I'am having hard times generating good looking interior with v 1. Illuminati diffusion was the last big blowup i saw. Enjoy. To seamlessly bridge two pre-trained models, we investigate a range of semantic alignment connector He said that we can use RunPod for Stable Diffusion, but can we use it with our trained models ? I've try to connect to my pod after the training of my model with this button "connect via HTTP [Port 3000]" like he said in the video, but I cannot find my model in the Stable Diffusion checkpoints or in the settings. You can organize your models (with Automatic 1111) Probably there is someone who doesn't know, models are loaded recursively which means you can put your models into other folders inside the "models/Stable-diffusion" folder. app - Multi-language SD that is free, 1024x1024 by default, no login required, uncensored, TXT2IMG, basic parameters, and a gallery. Rather than spend 10 minutes downloading a model to get lackluster results Mar 19, 2024 · We will introduce what models are, some popular ones, and how to install, use, and merge them. mostly bc it costs a shitload of money to train a high fidelity and high-quality model like stable diffusion from scratch. Look it up. You can see some recipes here. They did this in about 1 week using 128 A100 GPUs at a cost of $50k. 0 base model ("SD 2. What are some things to consider OR worry about when merging models? If this was in tutorial section then I apologize, I did not see it. Controlnet helps a little, but not much. 4. Because of that, people quickly realized that you could use SD to make images of photorealistic child sex abuse material. RealVisXL_V3. Active Stable Diffusion webUI projects have to choose whether to support running the pirate NAI weights or not. It seems like a use case that would fit greatly into Stable Diffusion but when I try with the base model the results seem not that great. For this I've grabbed 1) a simple prompt at 512x768 with hires fix x2; 2) a /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. Other Animation (usually used as part of a mix): Western Animation Diffusion, Flat 2D Animerge, FoolKat GOD-OF-THE_WEST. 🤯 Adobe’s new Firefly release is *incredible*. Now, consider the new Nvidia H100 GPU which can Hey everyone! I'm very curious if any one you have used Stable Diffusion as a means to help with your logo or brand identity needs. Generic female is underrated. Fine tuning is a general machine learning term for taking a pre trained model and teaching it some New specific thing. Just recently I said I did some new XYZ plot tests and thought Realistic Vision 1. 0 in your stable diffusion models folder Make sure you've loaded the SDXL1. I feel like we don’t have a lot of time. Unstable PhotoReal 0. I did download the 1. More info: https://rtech. The model "remembers" what the amount of noise I think thats fine, the models will often update every 1~2 weeks as we do a bunch of testing to improve them XD But AbyssOrangeMix2 was used as base for many many models so its still relevant imo. Learn how to improve your skills in using Stable Diffusion even if a beginner or expert. Sharing a video from my YT talking about how Latent Diffusion models work from first principles… and breaking down how I implemented my own from scratch to generate human faces. 4 vs v1. Evaluation Paper available for free. ultraspiceXLTURBO_v10. Someone asked for another comparison grid, so that is what this post is. 5. They do some things good and some things less good. Try henmixreal. Drop the downloaded models (. Let words modulate diffusion – Conditional Diffusion, Cross Attention. 5 as the base instead. Thanks! The ones I use everyday are: REALISTIC, 1. ckpt and upload it to your google drive (drive. I have found Deepfloyd to be much better at Photorealism than stable diffusion. This is part 4 of the beginner’s guide series. from one of those models should definitely give you something that doesn't look photoreal when words such as "photo" aren't part of the prompt. So I am wondering, what is the best model for generating good looking interiors (preferably also realistic)? Here’s a data explorer for “Ghibli” images. This approach aims to align with our core values and democratize access, providing users with a variety of options for scalability and quality to best meet their creative needs. Generate a image like you normally would but don't focus on pixel art. Beginner's guide to Stable Diffusion models and the ones you should know. To generate cinematic, film like images, try Illuminati Diffusion (base on SD 2. Automatic1111 has a UI for running stable diffusion that has a tab for training Model Preset Manager. Sort by: Search Comments. If you're using AUTOMATIC1111, leave your SD on the SSD and only keep models that you use very often in . On top of that, SD was in the unique position of being the first one to popularize it. It's rather hard to prompt for that kind of quality, though. Award. They still have a lot to do to catch up to Civitai though but at least HF is swamped with anime yet. Anime: CetusMix Whalefall, Real Cartoon Anime, Luster Mix (note: there's at least 2 different models with this name, the one I like has a version called 2. Ideally it is a middle between photorealistic and good-looking. v-i-n-c-e-2. I was wondering how you merged multiple models to create your pop-art amber heard, and then I found your tutorial here. I've tried some merging of models, but the problem is we really lack specifics on how it does the merging. Read part 2: Prompt building. Aside from understanding text-image pairs, the model is trained to add a bit of noise to a given image over X amount of steps until it ends up with an image that's 100% noise and 0% discernible image. For example, Getty Images has a long history of taking public domain images (which the author explicitly donated to public domain) and slapping their watermark on it, then suing everyone using it, including the original author. You mentioned, ". And if you use Automatic's repo, we now have the ability to merge models. 0. And then there are others that have been tweaked to be better at portraits, while others may be tweaked to be better at architecture, or scenery, or nature, or any other number of things. Reverse diffusion turns noise back into images. I'll see if it is o the fooocus list but since I also use fooocus a lot I would have noticed it. pixelwaveturboExcellent_03. Then LCM generation is at light speed! A 768x768 picture takes less than 2 seconds at default parameters. . Then make your own out of it, if you really need it. The really sucky part is that the people who are great at refining models, took the money and stopped refining models. Nice, about time they started doing something like this. You don’t need a special model for inpainting; just use the one that will produce the right outputs for your use case. I’ve seen mainly anime / characters models/mixes but…. The tutorial includes links to high resolution images, with the name of each model, so you Automatic1111’s UI for stable diffusion has it built in. 3 produced bad results too. 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. net. Just not very likely, because it is not very widespread and mostly tech affine people use it, usually not the target for criminals. When using SD and LCM alternatively, you need to unload the checkpoint. safetensors. 0 VAE Make sure the base resolution is no lower than 1024x1024 (can go 1024x1536 as well or 1535x1024) Make sure your're on PyTorch 2 and higher Make sure you're using the following command ARGS: /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. ADMIN MOD. Nobody really knows what public domain is. I know you all are probably tired of seeing Yet Another Model List Site. And it seems we can merge up to three together. 5 and sdxl and automatic1111 and comfy ui for sometime now. It's a shame that the NovelAI weight piracy has split the community into pirates vs non-pirates. For this comparison I ran 10 different prompts on 17 different models. Try out Stable Diffusion models for free. Feb 22, 2024 · The Stable Diffusion 3 suite of models currently ranges from 800M to 8B parameters. Yep, it's easier to create nice images through Midjourney than SD. you can even get realistic ones from the base model. Diffusion in latent space – AutoEncoderKL. Question. Transformers are unrelated, they're an architectural choice whereas diffusion vs GAN is a problem structure choice. You can enter a special character or number at the beginning 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. Your choice between the two depends on your personal taste. Read part 1: Absolute beginner’s guide. com is probably the main one, hugginface is another place to find models, automatic1111 site has model safetensor links as well. So for know don't worry and only use safetensor if possible. 065 Stable Diffusion 3 $0. That's because many components in the attention/resnet layer are trained to deal with the representations learned by CLIP. What makes stadio. • 3 mo. Principle of Diffusion models (sampling, learning) Diffusion for Images – UNet architecture. This extension lets you create, manage, and share presets for models, so you don't have to remember what the best cfg_scale is for your Some users have posted comparison grids of pirate NAI vs real NAI vs SD, on the same prompt and seed. The basics of it is that Midjourney has a good model, but they augment that with a lot of finetuning of parameters behind the scene, and also supplementing the user Simply list your files, let’s keep this thread clean. Ocriador. Stable Diffusion is cool! Build Stable Diffusion “from Scratch”. Fred Herzog Photography Style ("hrrzg" 768x768) Dreamlike Photoreal 2. v1. When I drag into "PNG info" in Stable Diffusion, it's "parameters" is "none". Run the prompt with your normal model, then send to inpaint and mask the background, set "inpaint only masked" and then swap to your background model. Using this database, the AI model trains through reverse diffusion. I love Stable Diffusion because it's open source but at the same time it's complicated because it has many models and many parameters. Discussion. SD 2. Websites with usable Stable Diffusion right in your browser. base 1. I feel like putting 'masterpiece' after a period at the end of the prompt is one of my favorite 'tricks'. Diffusion is the process of adding random noise to an image (the dog to random pixels). Since there has been a massive wave of new model drops (ICBINP, EpicRealism, Realistic Vision in the last couple of days alone), I figured I'd try some prompts on all of them, and you can all decide which ones you like. Stable diffusion is more versatile. I have been using stable diffusion 1. Leave all your other models on the external drive, and use the command line argument --ckpt-dir to point to the models on the external drive (SD will always look in both locations). This is pretty good, but you're missing a big step in how the training works in a diffusion model. Experience is another mod that is pretty good in all of those qualities, www. Models cheesedaddy, I think probably best landscape modes you can get. There's a select thingy on the very top of the automatic1111 UI, where you can choose which model to load. That's no big deal. This is using Realistic Vision 1. 0 semirealism). In Windows: Start > type cmd > right click command prompt app > select run as administrator. So I've been liking models that do this for when I start in earnets to make some pokemon knockoffs, so here we go. No model is currently accurate enough to meet expectations on precision, so the best you'd be able to do would be to simplify existing photos into diagrams. In this paper, We introduce an E fficient L arge L anguage Model A dapter, termed ELLA, which equips text-to-image diffusion models with powerful Large Language Models (LLM) to enhance text alignment without training of either U-Net or LLM. I have watched tons of YouTube videos, and spend ungodly number of hours trying this and that, and getting frustrated but also occasionally getting pleasantly surprised. I've tried using some of the default models such as vanilla 1. The popular "NMKD" ESRGAN-derived models for example were ALL trained in 2020 and 2021, and the whole process as a viable thing goes back quite a bit earlier than that. See full list on github. g. Save the image and open in paint. 0 is trained on an aesthetic subset of LAION-5B, filtered for adult content using LAION’s NSFW filter . I would like… Here is a summary: The new Stable Diffusion 2. Getimg. I don't think there is even one case of a virus in a cptk file for Stable Diffusion, but it would be easily possible to do so. juggernaut_reborn. com). Yeah. Increase saturation and contrast slightly, downscale and quantize colors. It leverages it’s existing knowledge to get very good at the new thing you show it. 3. google. The prompt is overemphasized, and goes over the 75 token limit, meaning you got two prompts working separately there, and since this doesn't seem to be made on purpose, you didn't weight your second prompt properly. Become a Stable Diffusion Pro step-by-step. Notice the ‘Generative Fill’ feature that allows you to extend your images and add/remove objects with a single click. labml. It's not inherently related to more recent "creative" AI image creation tech such as Stable Diffusion, at all, like no direct lineage or connection between the two exists. Protogen, Dreamlike diffusion, Dreamlike photoreal, Vintendois, Seek Art Mega, Megamerge diffusion etc. No need to install anything. Reply reply More replies More replies Iamn0man /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. So there are a lot of models out there. Things I wish I knew when I started with Stable Diffusion. There was no way, back when I tried it, to get it to work - on the dev branch, latest venv etc. Structured Stable Diffusion courses. com Mar 19, 2024 · Stable Diffusion Models, or checkpoint models, are pre-trained Stable Diffusion weights for generating a particular style of images. Stable Diffusion on your mobile device. Dream Booth. 03 Stable Diffusion Core $0. Anything v5: Best Stable Diffusion model for anime styles and cartoonish appearance. Mobile Apps. WD 1. 0") is trained from scratch using OpenCLIP-ViT/H text encoder that generates 512x512 images, with improvements over previous releases (better FID and CLIP-g scores). This gives way better results since it will then truly be pixelated rather than having weirdly shaped pixels or blurry images. What I like to do is convert Realistic Vision (or whatever photorealistic model you'd like to use as your "base") to a LoRA (by using SD1. Those models do landscapes well! Try it out! Hi, I’m looking for model recommandations to create fantasy / stylised landscape backgrounds. The two are comparable, producing similar, but different results. Update: Added Civitai API integration for much faster info downloads, and also the ability for model uploaders to share their presets in the model description for automatic download. ai Annotated PyTorch Paper Implementations; Stable Diffusion with Diffusers; Huggingface noteboooks; Simple diffusion from @johnowhitaker We would like to show you a description here but the site won’t allow us. Stable Diffusion 3 combines a diffusion transformer architecture and flow matching. DreamShaper: Best Stable Diffusion model for fantastical and illustration realms and sci-fi scenes. 1 SDXL version, very strange. ckpt in your models folder (stable-diffusion-webui\models\Stable-diffusion) and use the "modern disney style" prompt. ai - txt2img, img2img, in-painting (also with text), and out-painting on an infinite. Put a sound file named notification. Can anyone explain this better in a five-year-old way? Make sure you've saved the SDXL1. ) This way, it's more flexible in being used with other models. In recent versions of Automatic1111 (which is the GUI you're using) you can then select the new models from a dropdown menu at the top of the page. Early-Ad-1140. 5. Sep 26, 2022 · Got questions, comments, links, or want to chat about Stable Diffusion? Do it here! Here’s some links to help get you started: Review of latest Score Based Generative Modeling papers. And a lot of them have some of what one wants, and some things they don't. 1. How-to train a custom model and resources on doing so. Assuming this is a university-published thesis, and not an undergrad thesis, I wouldn't recommend using Stable Diffusion, or other generative AI images, in scientific communications. DangerousBenefit. Any prompt for "digital art", "painting" etc. They're all fairly true to life - depending on your prompting and settings. Edge of Realism is the best one in my opinion. Tutorials. If comparing only vanilla SD v1. 5: Katrafact (new addition, really works well!) Realistic vision 6 (better realism, kinda) Realistic vision 5 (Better prompting) Juggernaut. 5 vs v2. 5 and f222 checkpoints in Stable Diffusion, but I'm interested in exploring other options Basically you extract the difference between an inpaint model and a base model, then apply that difference to a new model of your liking. It's perfect, thanks! Oh, fantastic. ckpt" and place the . safetensors *. /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. In order to do that, go into Settings->Actions, and click the button "Unload SD checkpoint to free VRAM". 4 with a ton of negative prompts. Juggernaut XL: Best Stable Diffusion model for photography-style images/real photos. You can try Analog Madness. 04 Stable Diffusion 3 Turbo My Opinion: Stable Diffusion XL: Best price-performance ratio (probably also the least amount of computing power needed) and the only one with published source code. For photo realistic, you can also try Realistic Vision (but Deliberate is solid for that too). 4 and Deliberate v2 were my new favorite models. Hey there, Stable Diffusion community! I have a straightforward question that I'd love to get your insights on: Is it recommended to continue using a Variational Autoencoder (VAE) on a pre-baked model? Typically, VAEs are utilized during the training phase to enhance model performance by incorporating latent space representations. A model won’t be able to generate a cat’s image if there’s never a cat in the training data. On Civitai right now it seems everyone is on a mission to create a lora for every anime girl character that has ever existed. Is the model file (ckpt) that you're using one of the normal huggingface ones e. ckpt) into the 'models/stable-diffusion' folder of your SD installation. Based on the new blog post from MosaicML we see that a SD model can be trained from scratch in 23,835 A100 GPU hours. When I download the grid image, it's a . I hope it is helpful to the community. So to start, create your empty folder or use the default sd model one. Read part 3: Inpainting. Their website was awful for finding models. What kind of images a model generates depends on the training images. A Short Photorealism Model Comparison. That will cause your list of models to be somehow organized. It’s been there over a month. Comparison. xyz - One-stop-shop to search, discover prompt, quick remix/create with stable diffusion. 4 or 1. I'm looking for recommendations on the best models and checkpoints to use with the nmkd UI of Stable Diffusion, as well as suggestions on how to structure my text inputs for optimal results. mp3 in the stable-diffusion-webui folder. An in-depth look at locally training Stable Diffusion from scratch. Other models didn't show consistently good results, with extra, missing, deformed, finders, wrong direction, wrong position of rind, mashed fingers, and wrong side of the hand. You can create both forms of models with transformers, or CNNs, or really any other image processing I am almost done with my next study. There is one I remember but have a hard time finding it because they named it super generic, it seemed like it was trained on dragon quest and had monster images in it's examples but they listed it as something like "trained on a popular rpg" so I can't find it again We would like to show you a description here but the site won’t allow us. 5: Instead of using "x and y" for types, you should do "x/y-type" or "x-type and y-type", so you work with base model logic instead of fighting against it. 0 ("photo") I might do a second round of testing with these 4 models to see how they compare with each other with a variety of prompts, subjects, angles, etc. If the model you want is listed, skip to step 4. The goal is to transfer style or aspects from the secondary model onto the base model. That has been quite a challenge, hope it can be helpful. civitai. I've tested and rated 50 different Stable Diffusion SDXL models in a structured way, using the GoogleResearch PartiPrompts approach, rendering 107 classified prompts for each model and scoring the results. 0, improvement is very minor. I'm 9 months late but epicrealism is my preferred model for inpainting. Reply. r/StableDiffusion. On a single image I'll usually use 2-8+ models inpainting different parts because some are better at hair, or clothes, or backgrounds, or faces etc. That seems a bit odd. New Stable Diffusion models have to be trained to utilize the OpenCLIP model. 1, so produce good images at 768x768) Reply. support/docs/meta We would like to show you a description here but the site won’t allow us. For example, we don't know what the weights are in the end for the merged model, or if it merges them the same way every time, or what. Analog Diffusion 1. Artsio. It's business school corporate corruption trying to control the release of resources. I just started using webui yesterday and was interested in a tutorial exactly like this. I'm not saying it's not viable, it's just too complicated currently. Add a Comment. Understanding prompts – Word as vectors, CLIP. Question About Merging Models. Stable Diffusion based Models: A Cheat Sheet for Draw Things AI (and not only) For those that are just starting, and want to step out of generating images with MidJourney, I wrote this tutorial comparing 35 models (that come included in Draw Things AI). protogen photo realism is pretty spot on. What’s the best ai model for celebrities? : r/StableDiffusion. Click on "files and versions", download the "moDi-v1-pruned. You are not bound to the rules of mj. Give that a go. Realisticvisionv20 is my favorite realistic model it's clean does not have many deformed limbs and is very responsive to prompts. \stable-diffusion-webui\models\Stable-diffusion. If the model isn't listed, download it and rename the file to model. . Then use Linaqruf's Kohya-ss script in colab to fine tune No wonder I forgot about it, the model doesn't eve show on up my models list in Invoke and this is what it's listed under for my installed models. It's not as big as one might think because it didn't work - when I tried it a few days ago. This was trained on T-shirt designs i personally found cool, but it seems that the data set wasn't great and the model is biased towards some designs, but it can be well managed with negative prompts. Then automatic1111 will play notification. mklink "Location of where you want to make your shortcut" "actually location of the item itself". Reply reply. Author pulled all his models off civit because his corporate contract required it. After trying them, Consistent Factor is my favorite model for img2img. When AI models are trained on millions or billions of images, it’s a This is because doing direct diffusion is just too computationally expensive for anything bigger than around 32x32, maybe 64x64. ai cool (and the reason I built it) is that it is the only site that lets you easily try out new models for free before you download them. EX: StableDiffusion installed at G:\Program a ton of them actually. mp3 when it finished generating either a single image or a batch of images. 5 model. ARTISTIC, 1. they are all prompts from civitai sample images for the models in the test. 003 Stable Diffusion XL $0. 14. webp file. It can produce good results, but you need to search them. Typically when one merges they merge in a 3:7 or 5:5 ratio. The images are good but the atanomy is often wrong and the prompt is Merging models question. Then enter the prompt in admin mode. If you are into photorealism, here is the list of models I currently have on my machine, mainly for animal pictures: ultimateblendXL_v20. "x/y-type" probably being ideal, given that's how people normally refer to multi-type Pokemon, so that's the logic that CLIP would have from scouring the internet. r/aipromptprogramming • Designers are doomed. The topic and speculations of how Midjourney does it have been talked about at length in many threads here. We would like to show you a description here but the site won’t allow us. $0. Swapping it out for OpenCLIP would be disruptive. For this colab, one of the codeblocks will let you select which model you want via a dropdown menu on the right side. qf wo as qm aq dq ig jq cx wo