You can see some recipes here. ) How to Inject Your Trained Subject e. Magic the gathering AI models ? Hi, I'm currently working on mtg custom cards with the latest stable diffusion AI model. When using the API, what other API do you tend to use all the available parameters to optimise image generation or just stick with prompts, steps and width/height? 0. This might explain why Stable Diffusion models have memorized some images . One thing I've noticed, when running Automatic's build on my local machine, I feel like I get much sharper images. Just remember people, that seed doesn't represent the person. Before that, On November 7th, OneFlow accelerated the Stable Diffusion to the era of "generating in one second" for the first time. elietoubi. Hi r/MachineLearning, . v-i-n-c-e-2. 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. Tons of models and it's pretty nice to use. It's rather hard to prompt for that kind of quality, though. It can produce good results, but you need to search them. Model: redshift-diffusion-v1 - 74fc61c. Hey ho! I had a wee bit of free time and made a rather simple, yet useful (at least for me), page that allows for a quick comparison between different SD Models. This is a community to share and discuss 3D photogrammetry modeling. No script, no hypernetwork, no xFormer, no extra settings like hires fix. Trivial on linux, painful on windows. If you don't want them to look like one person, enter a few names, like (person 1|person 2|person 3) and it'll create a hybrid of those people's faces. "it uses a mix of samdoesarts dreambooth and thepit bimbo dreambooth as a base annd the rest of the models are added at a ratio between 0. , HTML alt-text tags) and other fields. civitai. Structured Stable Diffusion courses. 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. Add a Comment. If all your models are on a different drive, you can simply pass this as an argument to the webui. And nice website! Reply reply. The training on spelling errors, imo, would cause issues for those using the model. 1. They're all fairly true to life - depending on your prompting and settings. 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 Protogen, Dreamlike diffusion, Dreamlike photoreal, Vintendois, Seek Art Mega, Megamerge diffusion etc. ) This might not work, but you could try to add the name of a person whose face might be known to the system (i. Better comparison would have been of realism engine, illuminati diffusion, prmj, classic negative sd2. I hope it is helpful to the community. So I've been liking models that do this for when I start in earnets to make some pokemon knockoffs, so here we go. • 2 mo. 5. 4x NMKD Superscale - my current favorite. base 1. Sort by: Search Comments. a famous person). I promise training a good pixel art model is a lot more difficult than just getting the right images and gpu's, it took 2 years of ML experience, and 6 years of pixel art experience to get this where it is today. Here's my attempt to ELI5 how Stable Diffusion works: Billions of images are scraped from Pinterest, blogs, shopping portals, and other websites. The X/Y Plot to Eliminate Some Stable Diffusion AI Art Models | by Eric Richards | Jan, 2023 | Medium Variations of Original Images Created by X/Y Plot Run to Study Different Stable Diffusion Models. FortunateBeard. Here's a visual description of how Stable Diffusion works, with over 30 original images covering diffusion models, latent diffusion models, CLIP and how it's trained, and more. I’m appreciate of OP creating a download for the models and for you pointing out that this is a territory ripe for organized crime or governments to put in a Trojan horse. Stable Diffusion 3 combines a diffusion transformer architecture and flow matching. Reply. Must be related to Stable Diffusion in some way, comparisons with other AI generation platforms are accepted. This is pretty good, but you're missing a big step in how the training works in a diffusion model. Download the ft-MSE autoencoder via the link above. 8. The goal is to transfer style or aspects from the secondary model onto the base model. Author pulled all his models off civit because his corporate contract required it. ago. Civitai and HuggingFace have lots of custom models you can download and use. you can even get realistic ones from the base model. Any idea what model they might be using? cyberrealistic came to mind to me. Stable diffusion is more versatile. If it can get to what a photo taken with that camera would look like more easily by changing the person ( which may look like a older version of that person ) , it'll do it. Unstable PhotoReal 0. if you put in ideas and not just a list of terms, descriptions and not just things, and if you use syntax instead of spitting out an unordered list, stable diffusion very much does respond. pt. g. I like AR's flexibility, but it's faces look too much like Dreamshaper's anime-ish faces. Read part 3: Inpainting. As part of this, I was feeling guilt how I was comparing some of the models for my prompts and not using the model keyword triggers, for those Pony is a model that was trained in a lot of mylittlepony porn and hentai, but to everybody's surprise it turns out it's a pretty good model for anything cartoon/anime related, and there's fine tunings that do close to realistic stuff pretty nicely. 5 model, but luckily by adding weight difference between other model and 1. So you experiment, most of us will make a few versions of differing strengths and then go with the one we like the most or that turned out the best. Once you graduate, there's little reason to go back. File "C:\Users\theyc\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks. _Keywords. KhaiNguyen. It's just a starting point. 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. There are couple good ones that 1) don't oversharpen the edges and 2) don't smudge the details. The simpsons model also is fun. Plain vanilla ESRGAN 4x - surprisingly good for textures. Work is far from done, but I'm fairy happy with the results, I can generate somewhat nice logos from most prompts, I'm at the point where I can generate nice Merging models question. Automatic1111’s UI for stable diffusion has it built in. Before anyone asks, I'm using their demo code with python stable_diffusion. There's many generalist models now, which… 1. And just try some models. 2. The comparison displays the outcome of basically the same prompt and settings unless a model need specific trigger words, settings We would like to show you a description here but the site won’t allow us. com is probably the main one, hugginface is another place to find models, automatic1111 site has model safetensor links as well. Links to different 3D models, images, articles, and videos related to 3D photogrammetry are highly encouraged, e. • 1 yr. Also from these models only realistic vision is specifically made for "realism". 4x NMKD Siax - also very good. Reply reply. My new D&D model!! Trained for 30,000 steps on 2500 manually labelled images. AI ) Special things, like japanese woodblock printings, graffitis, etc, have specialized models that We would like to show you a description here but the site won’t allow us. 5 checkpoint = High School. Even other AI developers like KaliYuga (who made pixel diffusion) are unable to get generalist pixel art models with these results. Older version: Colab notebook Grokking Stable Diffusion by johnowhitaker. 0. org. ) DreamBooth Got Buffed - 22 January Update - Much Better Success Train Stable Diffusion Models Web UI. FINISHED_ITERATING: I have tried merging models at many different values. Sort by: mikebrave. My goal was to simply create comics of the pen & paper adventures of my friends and myself. The thing is I m not very aware of any website / Platforms where I can fond a specific AI for specific images like rpg, weapons, landscapes. Transformers are unrelated, they're an architectural choice whereas diffusion vs GAN is a problem structure choice. The people who managed to get it working for private parts apparently broke vast other parts of the model in doing so, making it more or less useless in generating anything else. You can create both forms of models with transformers, or CNNs, or really any other image processing What stable diffusion model makes the most realistic people?? Right now I'm using epicrealism which is good but want to know if there's anything better. Also great to give you a starting point for your own custom texture. In my example: Model: v1-5-pruned-emaonly. Fine-Tuned Models (ie any checkpoint you download from CivitAI) = College. Analog Diffusion 1. So I am wondering, what is the best model for generating good looking interiors (preferably also realistic)? The image quality this model can achieve when you go up to 20+ steps is astonishing. 1 version, artius, providence. Seeds: 427224413 and 427224417. (Added Nov. All of those are dreambooth or merges based on 2. From my tests (extensive, but not absolute, and of course, subjective) Best for realistic people: F222. 5. Just depends on what you want to make. Best for Drawings: Openjourney (others may prefer Dreamlike or Seek. 25". But IMG2IMG after the initial TXT2IMG is very common. Just like Midjourney, it does a vey good job at generating good images right out-of-the-box without requiring the user to know each and every parameter in SD. Best for Anime: Anything v3. List part 3: Google Colab notebooks (this post). I get what you are trying to do here but the end result is affected. 5 greatly improves the output while allowing you to generate more creative/artistic versions of the image. sampler, steps, CFG) along with getting the exact right merged model to get it right on the initial TXT2IMG run, I'm sure, but there's little reason to limit yourself to that if you want to get the image just right, and you don't Definitely recommend putting "anime, 3d, 3dcg, drawing, animation" as well. It's really the most realistic model, not beautiful but life how it is. It's taking 1-2mins to load a model now for me. It's hard to track all new models so I thought I would ask the community first. . 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. The reason casual users of stable diffusion are getting worse results is because they haven't spent the time refining their workflow. With regard to image differences, ArtBot interfaces with Stable Horde, which is using a Stable Diffusion fork maintained by hlky. The model "remembers" what the amount of noise 1. Get it for free at blender. 4 and Deliberate v2 were my new favorite models. Best for AAA games/blockbuster 3D: Redshift. vae. It's extremely important for fine-tuning purposes and understanding the text-to-image space. "Art" can also be a good one to put in the negative but can have more mixed effects. It's business school corporate corruption trying to control the release of resources. If I go one way or the other, I'll either get the disney style or my face. For generating humans, having accurate anatomy is the most important. After selecting the waifu model, did you scroll up to the top and press "Apply Settings"? You can tell if the model is being loaded by looking at the messages in the command window. 1 is significantly better at "words". List part 2: Web apps. Custom Models. Hey SD friends, I wanted to share my latest exploration on Stable Diffusion - this time, image captioning. Mar 19, 2024 · We will introduce what models are, some popular ones, and how to install, use, and merge them. if predictions[i] is components. There's a separate channel for fine tuning and other such topics. 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. Typically when one merges they merge in a 3:7 or 5:5 ratio. You should see it loaded on the command prompt window: We would like to show you a description here but the site won’t allow us. It leverages it’s existing knowledge to get very good at the new thing you show it. While the synthetic (generated) captions were not used to train original SD models, they used the same CLIP models Create Comics with Stable Diffusion (summary and questions) Hey guys, since the dawn of ai art I was dreaming about creating my own comics in only a few hours of work. DiffuserSilver. Read part 1: Absolute beginner’s guide. I would like… Go on the NSFW Stable Diffusion discord. Realistic vision 4 Juggernaut 9. e. I'd suggest taking a look at this one as you get 100 credits daily per sign-in. py --interactive, not A1111. These images were created with Patience. This is part 4 of the beginner’s guide series. Any recommendations? I found this one on HuggingFace… We would like to show you a description here but the site won’t allow us. "model is a mix of thepitbimbo dreambooth, copeseethemald chinai base, f222, ghibli dreambooth, midjourney dreambooth, sxd mixed at low ratios (0. Copy it to your models\Stable-diffusion folder and rename it to match your 1. Automatic1111 has a UI for running stable diffusion that has a tab for training Stable diffusion operates on language, not just words, not just individual tokens. 1 is an overall improvement, mostly in apparent comprehension and association, but trickier to tame. On A100 SXM 80GB, OneFlow Stable Diffusion reaches a groundbreaking inference speed of 50 it/s, which means that the required 50 rounds of sampling to generate an image can be done in exactly 1 second. Hey guys! I'm looking for SD models optimized for logo creation or graphic design. com. 4. For learning how Stable Diffusion works technically. 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. Then restart Stable Diffusion. This is what I get with the following parameters: webapp, ui, ux, ui/ux, landing page, call for action, minimalist, blue, black and white, design, sharp, 4k /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. Hey all, over past few weeks I've been experimenting and generating some models I've tried to optimize for various designs. But it's a complete bitch to get working. Especially "anime" due to how much of it is in SD models. Choose the two models you want to merge, write a new name for them (I generally just use the two model names but together, so I don't forget what they were originally), you can leave everything else at default, then click "run" and wait a few minutes We would like to show you a description here but the site won’t allow us. 0. put crap in, and of course you get Greetings I installed Stable Diffusion locally a few months ago as I enjoy just messing around with it and I finally got around to trying 'models' but, after doing what I assume to be correct they don't show up still. 5 model. Stable Diffusion model comparison page. • 2 yr. I m not looking for ultra réalisme or anime and that s all I can find. Illuminati diffusion was the last big blowup i saw. 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. Curious to know if everyone uses the latest Stable Diffusion XL engine now or if there are pros and cons to still using older engines vs newer ones. So, as explained before i testet every setting and i took me the whole night (Nvidia GTX 1060 6GB) www. Stable diffusion models for logo, fashion and web design. 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. I like protogen and realistic vision at the moment. 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. 1 - 0. 959 upvotes · 172 comments. The really sucky part is that the people who are great at refining models, took the money and stopped refining models. VAE: v1-5-pruned-emaonly. 4 with a ton of negative prompts. 5, to base inpainting model you get new impainting model that inpaints with this other model concepts trained. CFG: 4. 25)". /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. Evaluation Paper available for free. Comparison of camera models | prompt "portrait of a woman, *". . I know this is really old, but just tried this and was wondering if it's normal for the models to load really slowly when doing this. You actually use the "checkpoint merger" section to merge two (or more) models together. ckpt. OpenAI discovered that a major cause of image memorization during neural network training is the presence of duplicate or near-duplicate images in the training dataset, and mitigated it in DALL-E 2. You have your general-purpose liberal arts majors like Deliberate, Dreamshaper, or Lyriel. Depending on models, diffusers, transformers and the like, there's bound to be a number of differences. Q&A. We would like to show you a description here but the site won’t allow us. 25, 2022) Various notebooks using Google web search "stable diffusion" site:colab. put complexity in, get complexity out. Stable Diffusion can texture your entire scene automatically. 5 model name but with ". The game "Knows" how to create and generate infinite terrain and planets, but only stores the algorithms that create them. 3. articles on new photogrammetry software or techniques. Steps: 120. Blender is an awesome open-source software for 3D modelling, animation, rendering and more. Width-Height: 1088x832. 1 and 0. research. 5 is more customizable by being more common, easier to use, because its more naive and varied. List part 1: Miscellaneous systems. Generic female is underrated. a ton of them actually. Sort by: Add a Comment. Feb 22, 2024 · The Stable Diffusion 3 suite of models currently ranges from 800M to 8B parameters. It's not a particularly large game in terms of file size, but it has endless exploration of planets and galaxies that have a fair amount of variation and detail, thanks to procedural generation. I'd say there's no "standard" workflow at this point. I'am having hard times generating good looking interior with v 1. Fred Herzog Photography Style ("hrrzg" 768x768) Dreamlike Photoreal 2. pt" at the end. Isuckatbeing. It contains all the baseline knowledge for how to turn text into images. Automatic1111 is not a model, but the author of the stable-diffusion-web-ui project. Some people work on modifying prompts and settings (i. HassanBlend 1. To seamlessly bridge two pre-trained models, we investigate a range of semantic alignment connector Initially there was only one inpainting model - trained for base 1. Someone asked for another comparison grid, so that is what this post is. 1 768 It's just boring REAL photos. Here’s a data explorer for “Ghibli” images. Deep Dive on Image Captioning. Controlnet helps a little, but not much. Old. Linking a few examples underneath. Your Face Into Any Custom Stable Diffusion Model By Web UI. 1 and are much more accurate. 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. 1 CAN be much more pristine, but tends to need much more negative-prompts. This is because doing direct diffusion is just too computationally expensive for anything bigger than around 32x32, maybe 64x64. MidJourney, which is just an original SD1. Fine tuning is a general machine learning term for taking a pre trained model and teaching it some New specific thing. You can try Analog Madness. it's a balance, when you merge models it kind of dilutes the model by adding/averaging weights from the other model. Comparison. 4/5 model trained on generated imagery into a new model, has a lot of back end stuff going on, what you type is not what is sent to the model. This is using Realistic Vision 1. Become a Stable Diffusion Pro step-by-step. r/StableDiffusion • 2 yr. It took 30 generations to get 6 good (though not perfect) hands from a well-known meme image. Also could try the prompt (beautiful face) or something to get I'm looking for models that are trained on 3D styles you see often on some more corporate website, as well as models for industrial design product shots. SD 1. Read part 2: Prompt building. Looks so fun for just playing around with vibes and styles. py", line 913, in postprocess_data. I've found that using models and setting the prompt strength to 0. google. You are not bound to the rules of mj. Zero To Hero Stable Diffusion DreamBooth Tutorial By Using Automatic1111 Web UI - Ultra Detailed. ai. Original 2. These images are saved in a database along with their text descriptions (e. 4 is the best model that I would always recommend for any images where it's relevant that the output has exactly 2 arms and 2 legs, and not any more or less. In the beginning of ai art this seemed like a far away dream but since we got so many What stable Diffusion model + LoRa might this model be using? That is true, besides the obvious applications of this model i really do like the lighting, skintexture and overall quality of it. 6. •. That has been quite a challenge, hope it can be helpful. I'm not sure what I'm doing wrong, but I got the optimizer to work (it was very easy) and it's not impressive. 2 Be respectful and follow Reddit's Content Policy. Just recently I said I did some new XYZ plot tests and thought Realistic Vision 1. A little crowded UI, but it's still very cool. For this comparison I ran 10 different prompts on 17 different models. Discussion. Realisticvisionv20 is my favorite realistic model it's clean does not have many deformed limbs and is very responsive to prompts. mx sn tj xo ej yf ah jo wg bb