Stable diffusion prompt weights bottom row is (negative prompt:0),(negative prompt:0. 0 etc. 5 times the normal weight. The easiest way to prepare the prompt embeddings is to use Stable Diffusion Long Prompt Weighted Embedding (sd_embed). Weights in the context of Stable Diffusion prompts are numerical values assigned to keywords to indicate their importance or prominence in the generated image. 1 = 1. Now, let’s look at some Stable Diffusion examples, including how to create the best Stable Diffusion prompts. Stable Diffusion 3 Medium Model Stable Diffusion 3 Medium is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency. Updated June 11th with clearer examples, exercises, and a mini quiz. 5> Or can it exceed 1. 5, SDXL and Stable Diffusion 3. How Stable Diffusion actually "reads" your prompts. For example, interpolating between "red hair" and "blonde hair" with continuous weights. Learn how to influence image generation through prompts, loading different Checkpoint models, and using LoRA. Shift + Left Click the left side to decrease the weight by X (Configurable, default 0. 8, 0. In the example below, we have two prompts (one on a leprechaun and another on clint eastwod) and apply a weight of 0. By adjusting the weight of words and phrases in your prompts, you can subtly or radically influence the final result, opening up new creative possibilities. the 08 i assume u want the weight to be 0. 1, or write it explicitly such as (green:1. Start with any interior design photos. Aug 22, 2022 · Prompt weight — Prompt weight is a variable supplied to the algorithm which tells it how much importance to give to the prompt. Dec 24, 2023 · When I got started with Stable Diffusion, I was frustrated that my images didn't look anything like the ones I saw on social media. Nov 30, 2023 · Now, as Colon (:), Parentheses (()), and Bracket Notation[ ] are generally used for Stable Diffusion prompt weights in automatic1111, we discuss them in the prompt weight section below. Users can create hundreds of images in a matter of hours even if they have little to no prior experience, but it is worth learning about There is one great extension for Stable Diffusion Webui that has almost no information about and almost no examples of how to use it. 2) cat; Support parentheses like a ((white)) cat; For SD3, support max 512 tokens (T5 model support max 512 tokens) Support Stable Diffusion v1. This add-on allows you to set the weight each block! Jun 18, 2024 · Stability AI recently released the weights for Stable Diffusion 3 Medium, a 2 billion parameter text-to-image model that excels at photorealism, typography, and prompt following. the little red button below the generate button in the SD interface is where you can select your loras to use (just make sure you Apr 3, 2024 · Anyway, I highly recommend name-checking distinctive artists in your Stable Diffusion prompts. 1 in my experience. Runway ML, a partner of Stability AI, released Stable Diffusion 1. And in a prompt I have here, copied from I don't remember where, someone used \"word\". Save them to the "ComfyUI/models/unet" directory. As far as I know, this doesn't mean anything. For now, we just have to be very specific with the prompt "an old lady in a park, wearing a dress, floral pattern on the dress" I used this tutorial to create my own LoRAs: How To Train Stable Diffusion LoRA Model in Google Colab (Full Tutorial Guide) I use multiple LoRA in prompts all the time, by adjusting the weights. Don’t mess with weights starting off, unless you want to reduce weight of a term that is too prominent. ). With SDXL on the horizon, I've gone ahead and updated my prompt weighting nodes for ComfyUI and did some quick testing. Stable Diffusion 3. In this tutorial, we will explore how to use parentheses (), square brackets [], and curly braces {} to Apr 25, 2025 · Stable Diffusion prompt weights allow you to adjust the influence of different parts of a text prompt on the generated image. For example, "colorful garden (with a single rose)++" would mean the user wants to emphasize the "with a single rose" part of the prompt. 5 to each Mixing prompt embeddings (weighted mean of multiple prompts) for better control of stable diffusion. 1-768. The syntax you are using weight::token is not used by Dynamic Prompts nor A1111 UI. on the Y value if you want a variable weight value on the grid. Thus a Jan 4, 2024 · First LEFT words have the strongest impact on Diffusion. 3 (model this prompt is intended for and works almost perfectly for I am still trying to get the height to work consistently) (also mostly works with dream shaper however the faces don’t work right) (also works with portrait + if you switch y. FlashAttention: XFormers flash attention can optimize your model even further with more speed and memory improvements. Mar 12, 2025 · Let's look at how to construct better prompts for Stable Diffusion, from basic principles to advanced techniques you can apply right away. Negative prompting (red:0) will be the same as not including that prompt. They play a crucial role in generating high-quality output by guiding the model’s attention towards relevant information during the learning process. This time, I wanted to see what each word or phrase does on its own. Since any added text will change results somewhat, it's not surprising that the images are slightly different, but that's why the different numbers in those Apr 4, 2024 · Now, let’s take a closer look at the concept of stable diffusion prompt weight. 5> <lora:bbbbb:0. Aug 20, 2024 · Improved Prompt Following. Blog post about Stable Diffusion: In-detail blog post explaining Stable Diffusion. 5 Large leads the market in prompt adherence and rivals much larger models in image quality. Instead of "+" or "-", you can also use numbers between "0" and "2" ("1" being the default weight). Outside of the other suggestions, I would recommend finding a set of descriptive prompt terms that work well, use them early in the prompt, and get a few representative output images. The only issue is when you want to weight a whole phrase, then that has to be just the brackets. A1111 for instance simply scales the associated vector by the prompt weight, while ComfyUI by default calculates a travel direction from the prompt and an empty prompt. e. 5 to -0. Model: mlsd. It is recommended to keep it around 0. You ask for a realistic portrait, and suddenly, the AI decides the person needs seven fingers, nightmare teeth, and a background straight out of a fever dream. However, the success of Aug 10, 2023 · This is something I'm looking into and I'd love some conversation on the topic. I'll be sharing my findings, breaking down complex concepts into easy-to-understand language, and providing practical examples along the way. Height Modification Feb 26, 2024 · Decoding Stable Diffusion Prompt Weights. 9, 1. 5 are not good in SDXL and the image tends to go really bad after 1. 1, Hugging Face) at 768x768 resolution, based on SD2. Stable Diffusion converts text prompts into images using a deep learning model trained on vast datasets. 5 Some of these would probably have benefited from being used on a male model, as certain words aren't used as frequently to describe women as they are men. If you feel that way, this guide is for you. 5 in October 2022. To sum up, we have covered a complete Stable Diffusion prompts guide with 20 examples. 0 (which is actually quite large) and again adds ":2. I wanted to figure out some other words to get somewhere in between, so I used a prompt that generated a good 3/4 portrait of a woman and then used prompt search/replaces in Automatic111 (prompt s/r under x/y plot under dynamic prompts) to do 48 different Aug 20, 2024 · Improved Prompt Following. Each set of parentheses increases the weight of the enclosed tokens. 1 Dev model. o with year old but only generates faces) Pipeline for text-to-image and image-to-image generation using Stable Diffusion, without tokens length limit and support parsing weighting in prompt. For example, it could be a syntax that uses to increase and [] to decrease the weight of a specific part of the prompt, with optional numerical weights. But in fact, 2 does not do what you would expect it to do. The following phrase uses multiple names to blend three faces with different weights. . On some site today, I saw that someone also used [word], [[word]]. com Unsupported prompt weighting syntax. You switched accounts on another tab or window. Your prompt will be separated into keywords or tokens that the model will be able to understand. Any prompt line in the advanced prompt editor can be made into a negative prompt. Preprocessor: mlsd. Stable Diffusion - Poses and FaceSwap - Fooocus - Image Prompts. At its core, stable diffusion prompt weight refers to the process of assigning relative weights to prompts used to guide language models. I never use negative weights, ex. 5 + LoRA safetensors weights + canny ControlNet Step 4–3: Enable runtime LoRA merging by MatcherPass. 8, so write 0. This model allows for image variations and mixing operations as described in Hierarchical Text-Conditional Image Generation with CLIP Latents, and, thanks to its modularity, can be combined with other models such as KARLO. Bad Stable Diffusion Prompts. 0 depth model, in that you run it from the img2img tab, it extracts information from the input image (in this case, CLIP or OpenCLIP embeddings), and feeds those into the model in addition to the text prompt. 5 model feature a resolution of 512x512 with 860 million parameters. This step introduces the method to add LoRA weights in runtime before May 12, 2025 · Part II: Weight Rules and Syntax for Comfy UI Prompts Weight Expression. Ideal for beginners and experienced users. 0 Now the pipeline has been contributed to the official diffusers community pipelines. There are two possible syntaxes: This is a simple extension for the Stable Diffusion Web UI, which allows users to adjust the overall weight of the negative prompt, allowing you to increase or decrease its effect in a new way. This simple guide helps you craft prompts that generate high-quality images by focusing on style, subject, and composition. It is an extension designed for AUTOMATIC1111's Stable Diffusion webui, but is also available as a standalone script. This is a very powerful but underused feature of Stable Diffusion, and it can assist you in achieving results that would take way more time to reach by just tweaking the positive prompt. If you mean "NMKD Stable Diffusion GUI 1. 5 . Oh, and it writes the value to PNGinfo, honors it during 'send to txt2img' etc. What I noticed, for example, is that for more complex prompts image generation quality becomes wildly better when the prompt is broken into multiple parts and fed to OpenCLIP separately. Mar 29, 2024 · Stable Diffusion 1. Note that many of the techniques outlined in this article only works on this software. Check out the examples below to learn how to execute multi-prompting calls via our API. Oct 25, 2023 · Stable Diffusion v1. Prompt weight is a multiplier to the embeddings to influence its effect. Apr 6, 2024 · A prompt is a text given to a stable diffusion model to guide the model when it generates images. So, downloading this is not required. You could then use the additional scripts and combine with the prompt to generate different weights like LORAPROMPT,0. Place your cursor on the space to the right of the button weight; hit backspace, and the button weight gets converted to the text "hidden" behind it Oct 22, 2024 · Additionally, our analysis shows that Stable Diffusion 3. Jul 1, 2023 · You might've seen numbers like '::2' inside Midjourney prompts. 1 multiplier to the attention given to the prompt so basically (dog) means increase emphasis on it by 10%. Aug 1, 2024 · Prompt Weighting is therefore a powerful technique for fine-tuning and precisely controlling the generation of images by Stable Diffusion. The video explains how to increase or decrease the weight of certain words to control the emphasis on specific features, such as making 'blue house' more prominent by adding brackets Blending (keywords, subjects, artists, celebrities or styles) in Stable Diffusion, is the title of the article to group different prompting techniques that allows users to create complex and nuanced images by combining or blending multiple concepts, styles, and elements. It will cover the ins-and-outs of basic prompting. g. easy setup version, collab version. Jul 13, 2024 · Le Prompt Weighting est donc une technique puissante qui permet d'affiner et de contrôler avec précision la génération d'images par Stable Diffusion. This prompt library features the best ideas for generating stunning images, helping you unlock new creative possibilities in AI art. Jan 12, 2023 · Machine learning models that can transform user-written text descriptions into images have rapidly increased in popularity over the past year, and several of these models are now free online. 1 X 1. Works with Automatic1111; Reorder Dec 27, 2022 · Why does everything have so many fingers?! Mar 29, 2025 · What are Stable Diffusion Prompt Weights? Stable diffusion prompt weights, also known as SDPW, are a mechanism used to fine-tune language models. For Stable Diffusion 2. Feb 20, 2024 · Summing up the Stable Diffusion Prompts Guide. Reload to refresh your session. Stable Diffusion Prompt Weights. This is what the results look like in Stable Diffusion Web, which uses their XL model, and Stable Diffusion Web UI: Common mistakes to avoid when creating Stable Diffusion prompts Crafting prompts for Stable Diffusion isn’t that hard, but it’s also not spamming adjectives like you're playing Mad Libs at 3 a. 75) is that giving 75% weight to "black hair?" Would that affect other weights? For example, if I say (grey jacket:1. I'm starting to think I don't understand negative prompts at all Yes, exactly. 0" to your prompt as words. Now, you can also use the same with a Flux model. The text prompt can include multiple concepts that the model should generate and it’s often desirable to weight certain parts of the prompt more or less. Jun 1, 2024 · Tips for Writing Better Prompts on Stable Diffusion Get the prompt structure right. conda install pytorch torchvision -c pytorch pip install transformers==4. Feb 21, 2024 · Consistent prompt scheduling ensures stable diffusion process and maintains prompt consistency for stable diffusion results, ultimately achieving better images. Some weighing basics: All words have a default weight of 1 (but words at the start of a prompt have a greater effect on the result than words at the end) When you weight on thing, it increases its proportion of that final normalized while. Negative weights act differently, they act like an amplified negative prompt, should be in the range of -0. Here are the developers talking about how prompt weights that worked really well in SD 1. Oct 15, 2024 · Regarding prompting, the main difference is prompt weights, which, in Stable Diffusion-based models, allow users to put more or less focus (“weight”) on certain parts of the prompt. Adjust keyword strength with and [] Use to increase the weight of a keyword Negative prompt weights work on the same weighting scale as positive, it's not reversed. Diffusion models work by conditioning the cross attention layers of the diffusion model with contextualized text embeddings (see the Stable Diffusion Guide for more information). Lastly, there's AND which should theoretically force stable diffusion to pay attention to both/multiple things in your prompt. Stable Diffusion 3 has significantly improved its adherence to user prompts through training with highly accurate image captions, matching the performance of DALL-E 3. Apr 15, 2024 · Stable Diffusion - Fooocus Tips and Tricks (and AI Hands) 2024-04-15 13:55:00. m. In negative prompts, (red:1) would be normal negative promt weighting while (red:0) would be zero Apr 1, 2024 · First of all, let’s break down what stable diffusion prompt weights actually are. This results in markedly different behavior at higher weighting. We will use this Stable Diffusion GUI for this tutorial. Last RIGHT words have the fewest impact on Diffusion. The U-Net model operates in the latent space where the diffusion process takes place, and is based on a three-stage approach. May 7, 2023 · Stable Diffusion Web UI で使用する プロンプト（呪文）の 小物類 について検証してみました。背景に少し足したい小物や、手に持ってほしい小物など。無数にあると思うので思いついた分だけを大量に紹介です。 Stable Diffusion 1/2 Stable Diffusion XL Stable Diffusion XL Lightning Stable Diffusion XL Inpainting Upscaling Background removal Discounts Guides Guides Models Prompt weighting Prompt weighting Table of contents Adjusting the pepperoni / cheese ratio: Mar 17, 2023 · - Changing prompt weights: Prompt editing is an incredible feature that everyone using Stable Diffusion should know. 75) does the black hair affect the grey jacket's weight? Are there ranges to consider here? 0-2? 0-5? Any help is appreciated. It allows you to set the weight not of the whole model, like with a slider, or a number after a colon: <lora:myawesomelora:1. The Anatomy of a Good Stable Diffusion Prompt. A negative prompt is exactly what it sounds like – it’s the opposite of a prompt. support for stable-diffusion-2-1-unclip checkpoints that are used for generating image variations. For now, we just have to be very specific with the prompt "an old lady in a park, wearing a dress, floral pattern on the dress" Nov 14, 2024 · Learn how to create better prompts for Stable Diffusion 3. This was definitely the case, but not in the way I was expecting. In this post, I will share 3 workflows for using image prompts with Flux. 9)" If prompt weighting worked, it would be much more likely to always get a red dress. This can be used to generate similar images with different sizes. If you want chatGPT always to put in a specific prompt (like (ugly:1. Also if you don't want it to make a specific prompt as well). 1. 2 diffusers invisible-watermark pip install -e . 1 and it pays no attention whatsoever to the weights I enter. 5. Prompt weighting works by increasing or decreasing the scale of the text embedding vector that corresponds to its concept in the prompt because you may not necessarily want the model to focus on all concepts equally. This applies to the Stable Diffusion, Artistic and Coherent algorithms. Support unlimited prompt length for SD1. : Please have a look at the examples in the comparisons section if you want to know how it's different from using '(prompt:weight)' and check out the discussion here if you need more context. Weights are a new feature in our Web UI and Telegram Bot, made possible by a subsystem called a Text Parser, literally a piece of code that tries to understand which words are most important to you. To start, I've implemented an experimental prompt weighting for SDXL here: Prompt weighting but there's one fundamental difference between older SD's and SDXL, that being the pooling output. You have a cat pics LoRA and a Transformers LoRA. As you can see from the images, upweighting doesn't steer images as hard or fast as in 1. Weights and Body Shapes. Nov 14, 2024 · Learn how to create better prompts for Stable Diffusion 3. The new OpenCLIP model released just last week will give a big boost to how much Stable Diffusion understands the prompt. (I checked A1111 code would use negative weight as is. Jan 15, 2024 · TLDR The video script offers a comprehensive guide on utilizing the image prompt feature of Fooocus with Stable Diffusion for generating consistent character poses and designs. For example, ((red hair)) has a higher weight than just "red hair. For more technical details, please refer to the Research paper. In the context of automatic1111, stable diffusion prompt weights refer to the weights assigned to different prompts in the process of generating automatic text. so just lora1, lora2, lora3 etc. 2024-04-15 14:05:00. 19. Like let's say you want to make an image of cats that look like Transformers. It can generate text within images and produces realistic faces and visuals. I heard that it should be possible to add weights to different parts of the prompt (or multiple prompts weighted, same thing I guess). How does the prompting work for multiple LORAs? Do the weights have to add up to 1. Different types of brackets are used to adjust the weights of keywords, which can significantly affect the resulting image. By adjusting the weight of a prompt line using the slider below the prompt line, and changing the displayed value to being less than zero, it will become a negative prompt. true. 1,0. make sure you're putting the lora safetensor in the stable diffusion -> models -> LORA folder all you do to call the lora is put the <lora:> tag in ur prompt with a weight. Aug 10, 2023 · This is something I'm looking into and I'd love some conversation on the topic. Understanding prompt weight syntax and decoding its implications contribute to achieving desired results in stable diffusion model outputs. 0" then they use prompt weights, use a negative number for a "negative" prompt like: "A bowl of apples:1 red:-1" = a bowl of apples, no red apples. 5 Large Turbo offers some of the fastest inference times for its size, while remaining highly competitive in both image quality and prompt adherence, even when compared to non-distilled models of similar size The CLIP embeddings used by Stable Diffusion to generate images encode both the content and the style described in the prompt. There is a way to put a phrase into an embedding using the plugin 'embedding inspector' which can help a prompt be more manageable. You signed in with another tab or window. Colon (:): The colon is used to assign a weight or importance to a specific word or concept in the prompt. (), we observe that the mapping from the prompt embedding space to the image space defined by Stable Diffusion is continuous in the sense that small adjustments in loose the <> brackets, (the brackets are in your prompt) you are just replacing a simple text/name. It works in the same way as the current support for the SD2. 5, and increase either axis to 768 or 1024 to get the type of image you desire. 0 it decreases the weight "(inside a spaceship):2. 5 Medium GGUF . This is another creative way to use SD! There are so many features people don't realize exist, you can make really cool things if you know how to use SD to its fullest potential. The two most widely used platforms are Stable Diffusion and DALL-E. 1), (red dress:1. Fine-tuning images in Stable Diffusion is akin to fine-tuning a recipe. March 24, 2023. Below are the ControlNet settings. 2024-05-17 02:35:01 Jan 5, 2025 · Start from 512 by 512 on Stable Diffusion version 1. require diffusers>=0. 0, are TIs better suited for faces and LORAs for styles? Another question is what order to place the LORA in the prompt (beginning, end, middle)? Dec 3, 2023 · Stable Diffusionを使用する際、自由にLoRaを操作したいと感じることはありませんか？この記事では、LoRaの重みを変えることができるようになる拡張機能「Weight Helper」について解説しています。ぜひご覧ください！ 11 votes, 14 comments. Bad stable diffusion prompts can lead to unsatisfactory results in AI-generated art, often causing frustration and disappointment. This guide offers a deep dive into the principles of writing prompts, the structure of a basic template, and methods for learning prompts, making it a valuable resource for those looking to enhance Feb 22, 2024 · Stable Diffusion 3 generation with the prompt: a painting of an astronaut riding a pig wearing a tutu holding a pink umbrella, on the ground next to the pig is a robin bird wearing a top hat, in Jul 7, 2024 · You can use Stable Diffusion ControlNet’s straight-line detector MLSD model to generate interior design ideas. They are multiplicative, meaning ((dog)) would increase emphasis on dog by 1. /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. Explore the top AI prompts to inspire creativity with Stable Diffusion. 9)) every time you request a negative prompt about a human for example, it will always do it each time until you tell it to stop adding it every time. 7 and a polar bear, photography, award winning, documentary, wildlife, 8k 244 votes, 35 comments. Jan 16, 2023 · The prompt weight determines how much influence a particular prompt has on the AI's output, with higher weights resulting in a stronger emphasis on that prompt. More parenthesis, more weight, never gone above 3 a side, because I have never seen anyone go above that. Dreambooth - Quickly customize the model by fine-tuning it. # apply weights prompt = ["a red cat playing with a (ball) Oct 24, 2023 · In models, such as Stable Diffusion XL though, negative prompts may not be as crucial as prompts; they can certainly help prevent the generation of strange images. Stable UnCLIP 2. 1 (768), your resolution should usually start at 768 by 768. 4>. New stable diffusion finetune (Stable unCLIP 2. 1)) Stable Diffusion is great at making photorealistic pics (it’s one of the best AI image generators), but it keeps taking things way too far. Each prompt can be fintetuned or iterated on independently and them mixed. Don't know how widely known this is but I just discovered this: Select the part of the prompt you want to change the weights… Here is the first example compared to using the '(negative prompts: weight)' syntax (i. 5 and SDXL; Support weighting like a (white:1. Hence, make sure that your prompt has the following: I've been generating a bunch of different people and, like others have posted, have found the people are either skinny or really overweight. Apr 14, 2025 · Download link. 5) means the weight of this phrase is 1. and if the lora creator included prompts to call it you can add those to for more control. If you want to build a good prompt for Stable Diffusion, you need to start with the three main components: Subject; Details; Art style; Let’s take a look at each of these components in Stable Diffusion XL (SDXL) allows you to create detailed images with shorter prompts. Master the basics of Stable Diffusion Prompts in AI-based image generation with ComfyUI. My selection of Stable Diffusion environment is AUTOMATIC1111. 1. Dec 21, 2022 · Stable Diffusion Software. How to adjust the importance of parts of the prompt. Stable Diffusion Syntax Apr 29, 2024 · How do you weight prompts in Stable Diffusion? You can weight prompts in Stable Diffusion using parentheses. Stable Diffusion XL (SDXL) has two tokenizers and text encoders so it’s usage is a bit different. 1). Emphasis, de-emphasis, negative prompt, prompt matrices, compostable diffusion/prompt editing/alternating, all the img2img you can think of etc. It covers basic and advanced usage, including mixing image and text prompts, adjusting influence through 'Stop at' and 'Weight' sliders, and using PyraCanny and CPDS for Jan 25, 2023 · Always include or remove a specific prompt or more. 5 to 1. Recently, there has been a surge of interest in the delicate refinement of text prompts. 2 etc I also know that the straight line added in between two prompts inside brackets, [thing 1|thing 2], results in every other step alternating between the two prompts. You input is what you DO NOT want Stable Diffusion to generate. 6) if its less than 1. 25),etc. Stable Diffusion v1 refers to a specific configuration of the model architecture that uses a downsampling-factor 8 autoencoder with an 860M UNet and CLIP ViT-L/14 text encoder There are different ways of interpreting the up or down-weighting of words in prompts. What I have always done, to add more weight to certain areas of a prompt is the parenthesis bit. See my quick start guide for setting up in Google’s cloud server. Users assign weights or alter the injection time steps of certain words in the text prompts to improve the quality of generated images. There's probably some info in their docs to explain more of how it works. 0? <lora:aaaaa:0. These prompts serve as instructions or guidelines for the model, influencing its decision-making process. , and supports XYZ Plot. A1111 does use :: in the form of [from::when]-- removes from from the prompt after a fixed number of steps when but this is different from weights. The prompt length in Stable Diffusion is unlimited if another is not set by your Stable Diffusion provider. Weight and Body Shape Examples SDXL Weight and Body Shape Examples SD1. Just as seasoning enhances flavors in cooking, using double parentheses emphasizes keywords, making them more prominent. Realistic vision prompt 1. Flux Redux: Generate image variations. Model: Stable As the prompt gets longer, it become harder to identify what words are doing what (or anything at all) in your prompt. Released in the middle of 2022, the 1. You can run the official Stable Diffusion 3 model on Replicate, and it is available for commercial use. With the ability to assign weights to individual prompts, developers can now negatively prompt Stable Diffusion, a popular strategy for generating more creative images by informing the model to avoid certain concepts. So if you have 4 prompt items and you say the first is (x:2), then it will account for half of the total prompt weight, with the others accounting for the remaining ½. Prompt editing allows you to start sampling one picture, but in the middle Jun 11, 2023 · Prompt Weights and new text Parser (beta) New Weights Parser, Updated. Mostly, we would use a negative prompt as a string of keywords representing unwanted features that we would want to remove from our generated images. This will help you with the idea of how to make better Stable Diffusion prompts. Keep in mind that for Stable Diffusion 2. These weights play a crucial role in determining the influence of each prompt on the final output. In other stable diffusion tools, it is often referred to as cfg_scale. If you like the project, ⭐ it on Github, and share it to your SD friends! Aug 7, 2024 · What are Weighted Terms? Some models (Stable Diffusion, Midjourney, etc. ) If a negative prompt is simply a negative weight to a token, you would expect 2 and 3 to be the same. 5 strength. The prompt format is compatible with AUTOMATIC1111 stable-diffusion-webui. 1) click the right side to selct the weight number and enter a lower value; Deleting a button weight. En ajustant le poids des mots et des expressions dans vos prompts, vous pouvez influencer subtilement ou radicalement le résultat final, ouvrant ainsi de nouvelles possibilités créatives. You signed out in another tab or window. A prompt can include several concepts, which gets turned into contextualized text embeddings. Here's what to avoid in prompt creation: Confusing and Contradictory: Avoid using vague or conflicting words that confuse the AI model, leading to inaccurate or nonsensical images. Prompt weights in stable diffusion prompt engineering act as key factors that determine the importance given to different elements within a prompt. Feb 6, 2025 · Keyword Weight in Stable Diffusion Prompts Technique: Adjust the weight of keywords using the syntax (keyword: factor) , where a factor less than 1 makes it less important, and more than 1 increases its importance. Nov 25, 2022 · Using prompt weight, you can tell Stable Diffusion where to pay more attention and where to pay less. It may be better to lower the weight (select a word or phase and press ctrl + down arrow) of the things you don't want as much in the prompt than raise the weights of things you do. The model is advanced and offers enhanced image composition, resulting in stunning and realistic-looking images. 1 I've been experimenting with a new feature: concatenated embeddings. Came across where someone did something like this: See full list on stable-diffusion-art. Input image for interior design. But it is different from the negative prompt. com. 5 Large Turbo GGUF (c) Stable Diffusion 3. It relies on OpenAI’s CLIP ViT-L/14 for interpreting prompts and is trained on the LAION 5B dataset. I am trying to kick the tires of stable-diffusion-webui a bit, and one thing that I noticed is that the system has support for prompt weighting, e. (word:-0. 21 = an increase of 21%. 9), but I will write things like (curly (long blonde:1. These are called prompt weights and they help you emphasize (or de-emphasize) certain parts of prompts. Use simple and unambiguous prompt terms; vague and redundant terms will confuse the output and give you ugly images with overlapping duplicate Nov 14, 2024 · (a) Stable Diffusion 3. In Comfy UI, prompts can be weighted by adding a weight after the prompt in parentheses, for example, (Prompt: 1. Using AND will increase the compute time, roughly multiplying the time by the number of prompts. I'm using stable diffusion 2. Stable Diffusion 3 can be run locally on the largest model with a graphics card featuring 24 GB of RAM. General info on Stable Diffusion - Info on other tasks that are powered by Stable . The most crucial part to consider while writing a prompt on Stable Diffusion is the clear and precise structure to guide Stable Diffusion effectively. 5 Large GGUF (b) Stable Diffusion 3. ) allow you to assign weights to certain terms in a prompt. Speed and Deployment. Prompt: award winning living room. Apr 5, 2024 · Text-to-image generative models, specifically those based on diffusion models like Imagen and Stable Diffusion, have made substantial advancements. This means that you can use the prompt weight to fine-tune the balance between the positive and negative prompts in your input, which can help you achieve better results. I thought that increasing the prompt weight would amplify the differences and make it easier to judge the effect. Is it that in ComfyUI "1" is the normal weight given to all words? If I use (black hair:0. PR, (. Dec 31, 2024 · That’s why the Image prompt adapter (IP-Adapter) in Stable Diffusion is so powerful. Mixing prompt embeddings. Too many prompts/too high prompt weights will overbake your image, especially with high CFG. Pretty sure they added support to use extra networks in prompts now so you don't have to use the extension as a tab, place the files in the SD Lora folder instead of the extensions models folder. As a result there is a lot of mythology around prompt engineering. By assigning different weights to specific words or phrases within the prompt, you can control how much each element affects the final output. Weight any Keyword. Let’s use the one below as an example. Product Placement Tips For Fooocus Image Prompt/Inpaint (Stable Diffusion) 2024-04-15 13:25:01. 0? If it is limited to 1. 5,1,1. 9)(black hair:0. I've never used NMKD but just know their syntax. Such weighted terms can be used to emphasize certain words or phrases in the generated image. Here, all the clip models are already handled by the CLIP loader. 10. The negative prompt itself is applied as the negative. Learn the ins and outs of Stable Diffusion Prompt Weights for Automatic1111. you can type something like (green) to set weight of the token to 1. Further exploring our previous idea of describing Stable Diffusion as an infinite index Deckers et al. It depends on the implementation, to increase the weight on a prompt For A1111: Use in prompt increases model's attention to enclosed words, and [] decreases it, or you can use (tag:weight) like this (water:1. Stable Diffusion Basic Prompting Tutorial Using PlaygroundAI. Each ( ) pair represents a 1. Combine that with varied weights tossed in all over the place and things get pretty hard to predict quickly. Apr 27, 2023 · Answers to Frequently Asked Questions (FAQ) regarding Stable Diffusion Prompt SyntaxTLDR: 🧠 Learn how to use the prompt syntax to control image generation 📝 Control emphasis using parentheses and brackets, specify numerical weights, handle long prompts, and other FAQs 🌟What is the purpose of using parentheses and brackets in Stable Diffusion prompts? Parentheses and brackets are used Jun 6, 2024 · Prompt weighting in Stable Diffusion allows you to emphasize or de-emphasize specific parts of your text prompt, giving you more control over the generated image. 0" increases the weight of "inside a spaceship" by a small amount, but not by 2. Some open-source Stable Diffusion interfaces use a different prompt weighting syntax that doesn’t work with our tools. There's already a proof-of-concept notebook using it which you can try out. To try and adjust weights I added the variable words to the default prompt. I'll go through things like: Basic prompt template; The truth behind negative prompts; Prompt weights; Prompt order Prompt weighting provides a way to emphasize or de-emphasize certain parts of a prompt, allowing for more control over the generated image. other than the modifiers, which changes word weights, there is no way to understand the prompting model, it’s statistical and in no way intuitive. This script aims to automate prompt generation for Stable Diffusion (and more generally, txt2img models such as MidJourney, Dall-E, etc. Prompt weighting works with prompts and negative prompts . Example of Prompt weighting: Prompt 1 : a hybrid between a Shiba inu :0. Can Stable Diffusion save your prompts? I see you use parentheses to a greater or lesser extent to determine the weight of some keywords. We have also covered tips and tricks you can apply while writing the prompt. A Stable Diffusion extension for tweaking prompt weights - MarcusNyne/sd-tweak-weights-m9 Scramble Prompts for Stable Diffusion. Dec 1, 2024 · The former three networks represent black-box models with no access to the weights of Stable Diffusion, while U-Net comes with the weights from Stable Diffusion, being a white-box approach. Here is an example, using this prompt: "photo of a young girl in a swimming pool, (blue dress:0. " Be cautious not to overemphasize, as it can overpower the image. If you like the project, ⭐ it on Github, and share it to your SD friends! This script aims to automate prompt generation for Stable Diffusion (and more generally, txt2img models such as MidJourney, Dall-E, etc. May 27, 2023 · User reports issue with installing Stable Diffusion WebUI using AMD guide. It is unclear what improvements it made over the 1. 4 model, but the community quickly adopted it as the go-to base model. 2) or (water:0. From my quick testing, it seems quite a bit harder to steer prompts with common upweighting methods. knbw tyjqtp iynht xvhq cogzts unz wjt vsmoow yvkwaum buuh