Automatic1111 prompt weights reddit. 6) if its less than 1.

Automatic1111 prompt weights reddit for example my prompt at the top looks like this: TI1, {__test prompts/character prompt__} and my x/y inputs look like: Mostly the way words (tokens) in your prompt are interpreted (CLIP encoders). a fantasy art painting of a cat who is using the longest prompt in the Then you select "Prompt S/R" as a "Script" and enter the following: <lora:test:0. Plus, notepad++ has autocomplete, bad bracket detection, and many other useful features for prompt editing. 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 on, CTRL arrow up or down to change the weights. One would assume "and" to be compositional, whereas "AND" would be combining. 2. I'm slowly getting the hang of img2img but I have one particular question: Is there any option or slider to change how much weight the image has on the result? Similar to the CFG scale which does that for prompt weight? You can then use the x/y/z prompt script to sub out the {__wildcard prompt__} with a comma separated list of your individual prompt files and it will give you the prompt on the y and whatever else you want on the x. For instance (word:1. 1 in my experience. 0. Following the discussion here I made a small extension that allows you to set the weight of the negative prompt. This is called reducing the attention on words/prompts and is not the same thing as reducing the overall weight of the prompt. 1), (red dress:1. I think nobody knows about it. Negative weights act differently, they act like an amplified negative prompt, should be in the range of -0. 0> Automatic1111 will now do the following: Execute the main prompt once The first element of the "Prompt S/R" list will be used as search target (here: <lora:test:0. 25, 0. The prompt "a symmetrical photo of a cat PLUS a dog" gives me two cats. 2) and just gives weird results. The weights are also interpreted differently. 1) in ComfyUI is much stronger than (word:1. Here's a four-way hybrid between Bezos, Gates, Musk and Zuckerberg created with weighted prompts using hlky repo months ago: But I am not that bright. 6>) Sep 17, 2022 · SD GUITard supports weighting prompts. A good rule of thumb is that the total weight of all prompts should be between 1 and 2, closer to 1 (numbers>1 are similar to increasing CFG). 1, but I believe this example would also be the equivalent to (Brackets:0. 1) in A1111. true. 2) or (water:0. It also seems like ComfyUI is way too intense on using heavier weights on (words:1. On the row below you see the results of using (male:0), (male:0. e. The prompt "A symmetrical photo of a cat AND a dog" gives me a catdog hybrid. 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. 5 to -0. 0 ie 0. 9>, <lora:test:1. 25), etc. Does prompt weighting work for you? (Parenthesis) add 0. The prompt "A symmetrical photo of a cat and a dog" Gives me a hybrid catdog. 1 weight to your text in a prompt, you can stack these like ((parenthesis)), or you can write it out like so (parenthesis:1. Hi. The token system is weird. So a 2 would introduce it at step 2. 15" to the prompt. I'll be sharing my findings, breaking down complex concepts into easy-to-understand language, and providing practical examples along the way. I have anything between < and > coloured orange so I can see my LoRAs more easily, I have weights coloured in purple, token alternating in green etc etc). If the number you put there is above 1, it won't be a percentage but rather the step number. 6>, <lora:test:0. On the row above you see the results of NPW with weights of 0, 0. Combining Parentheses and Colon: See full list on stable-diffusion-art. in the sd-webui (prev. The scheduler (Euler, Eulera, etc etc ) does this on multiple passes with each pass getting more and more accurate to the prompt's tokenized weights. Combining modifiers allows you to have more fine-grained control over attention and emphasis in your prompts. But even if I put red dress weight to 1 million and blue dress weight to 0, I still get a blue dress. You need to add it to your negative prompt only if you don't want to see it at all. 5 would be 50% reduction in weight of the prompt. 11 votes, 14 comments. Here is an example, using this prompt: "photo of a young girl in a swimming pool, (blue dress:0. 2) [Brackets] decrease weight by 0. com Learn the ins and outs of Stable Diffusion Prompt Weights for Automatic1111. I'm looking for a way to do weighted prompts in A1111. Skip to main content Open menu Open navigation Go to Reddit Home 75 was the old maximum, but now it can be as long as you want it to be as it increases by another 75 each time you go over. I just switched from hlky to AUTOMATIC1111, so I’m especially interested to know whether you can use negative prompt weights with it. You have to use ctrl? I've always been able to just by highlight + arrow keys. 7>, <lora:test:0. 9) but correct me if I'm wrong. A prompt word inside [word:number] format will do that. I've only recently started using SD locally (Automatic1111 build) and I'm just learning the ropes. ComfyUI weights prompts differently than A1111. It does that by interpolating between the learned conditioning created from the negative prompt and one created from an empty prompt, within the denoiser callback. Seperating your prompt with spaces, commas, and periods doesn't do anything but sort and impact your tokens weight. 75, 1. This enables generating an image using multiple prompts which allows easy creation of fun hybrids and such. hkly) you can do this: "something:1 something else:4" It there an equivalent for AUTOMATIC1111? I would love to be able to combine it with the other prompt features in AUTOMATIC1111. as you suggest. 6) if its less than 1. It's SOOOOO much easier to see what you're doing in a complex prompt. Does anyone has the code to use ( ) and [ ] to modify weights of token like in automatic1111 repo? I want to implement it in my collab notebook. 0 it decreases the weight i thought colons were used within to add weight to a propmpt like (car : 3) and then rest of prompts to make it pay more attention to the car aspect Same for numbers less than 1. When you merge two models, you are taking noise from 1 channel (and it's weight data) and merging it with the weights/noise in the same channel in the other model. g. Here’s how you can combine modifiers with examples: 1. 8>, <lora:test:0. Weighted prompts may be the Similarly, if you want some humanoid but not human characters (goblins, zombies, robots,) it helps to subtract the humanity away, so add "human@-0. 5, 0. Nov 30, 2023 · How to change Prompt Weights in Automatic1111. Thanks in advance. It automatically normalizes the prompt weights so that they sum to 1. For example: windowless, window, no windows You just added the window token to your prompt 3 times. I don't like the GRADIO webUI because I constantly get disconnected. There's a discussion on the github page about it, but I can't find it ATM. The prompt parser in automatic1111 is broken, it doesn't weight tokens properly, so when you're comparing it to another application like comfyUI or SDNext they both have properly working prompt parsers, You won't get the same results ever. As in one prompt:1 another prompt:3 still other prompt:0. 8 for example) but results are not so nice. 9)" If prompt weighting worked, it would be much more likely to always get a red dress. (This one is tricky, because the unbalanced negative prompt messes with the total weight, and effectively increases the weight of the first prompt due to weight normalization. I implemented the normal prompt weight (token:0. noyew rijqp armps krpsa tvx cwsgxhi kbwpb flihr hanjr rmveme