Automatic1111 prompt weights reddit. The AI gives more attention to what comes first in each .
Automatic1111 prompt weights reddit Some nodes also let you choose how your prompt is weighted. ckpt then switch to your model to inpaint the face. Negative weights act differently, they act like an 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. My biggest problems are when my trained models get washed out by strong prompts like recent politicians or ultra-famous very photographed people like Kate Middleton. Few SD users use them apart from the weight I want to use the cool prompt tools that are offered in this repo but also be able to blend different prompts together. Share Sort by: Best. Note: I can say that they can collaborate with certain weights to obtain better results, or to obtain very specific results using certain weights that couldn't be obtained easily just with prompts. the little red button below the generate button in the SD interface is where you can select your loras to use (just make sure Long prompt shouldn't matter, as far as I understand LoRAs dont respect prompt length and are always applied 'at the beginning' so to speak. Seperating your prompt with spaces, commas, and periods doesn't do anything but sort and impact your tokens weight. I especially like the wildcards. The above is about positive prompts. I'm not sure that any punctuation (commas, parens, brackets) are supported by the core SD generator. After that Xth step, the prompt A is used. Made a quick video about using dynamic prompts to do stuff like "{red|green|blue} {hairy|sea|air} monster" to quickly generate different kinds of monsters, for example. Should already be in the desired format and work Hello guys, i'm trying to improve my prompts and i have been reading the Automatic1111's documentation. Don't dial the weight on the embedding below :0. 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. I use 200 but it is excessive. best/easiest option So which one you want? The best or the easiest? They are not the same. I implemented the normal prompt weight (token:0. Any PNG images you have generated can be dragged and dropped into png info tab in automatic1111 to read the prompt from the meta data that is stored by default due to the " Save text information about generation parameters as chunks to png files " setting. It's a script for automatic1111 UI with its own separate companion UI for "sequencing" parameter changes over multiple generations, resulting in interesting videos 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. The prompt was from a random Lexica image, not sure if it was the best candidate for the job but I think it fits. //github. Here’s how you can combine modifiers with I made a blog post guide on how to get Chat GPT to make positive & negative prompts for A1111 webGUI with weights. starts the prompt as "starting word1 ending" then halfway through the steps (because of 0. I spent a lot of time optimising my workflow with NMKD over the last couple of weeks, its lightweight and really easy to use but Automatic1111 has so many useful tools. Save it in a civitai-to-meta. 135 artist presets, 55 styles, 25 emotions. Your generated prompts must include details on the following: person, character, subject, camera angle, and background. I'm looking at ways to add both to twisty. so I’m especially Similarly, if you want some humanoid but not human characters (goblins, zombies, robots,) it helps to subtract the humanity away, so add "human@-0. This reduces the embedding's weight the way we want it to, not the way that weight values does. Let's say you generated an image and you like everything about it except one thing. 1, each square bracket divides it by 1. I also explain how you can use wildcard prompts to explore artist outpainting with sd-v1. New comments cannot be posted. 6s). (word\) - use literal characters in prompt With (), a weight can be specified like this: (text:1. Not sure there's a difference between commas and no commas. Same for numbers less than 1. You can change the weight method to a1111 instead of comfyui which will give you the results like a1111. Weighted prompts may be the only way to get some effects, or to dynamically increase or decrease the proportions of elements. They are multiplicative, meaning ((dog)) would increase emphasis on dog by 1. You can save a prompt as style and then recall it in other Also keep in mind that this is the weighting syntax used by Automatic1111, that means the weights have to be in parentheses to be recognised by Automatic1111 in the first instance so the first set is ignored for multiplication purposes when it recognises the colon and value. epi_noiseoffset - LORA based on the Noise Offset post for better contrast and darker images. 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. We all know that prompt order matters - what you put at the beginning of a prompt is given more attention by the AI than what goes at the end. Generate your images! I had to git pull manually, the update extension in automatic1111 was not working for some reason /r/StableDiffusion is back open after the protest of Reddit killing open API access If so, you should update automatic1111 and you will see a pink button below "generate" that will show your available extra networks (hypernetworks, textual inversions, and LORA). Currently supports the following options: >comfy: the default in I want to use the cool prompt tools that are offered in this repo but also be able to blend different prompts together. This will create the class images in the empty class folder you have set above. More examples from Github user catboxanon: 4 horizontal divisions. For example, interpolating between "red hair" and "blonde hair" with continuous weights. Ella weights got released for SD 1. txt, and I can write __Celebs__ anywhere in the prompt, and it will randomly replace that with one of the celebs from my file, choosing a different one for each image it generates. you think a studio that makes movies or games will just hire some knob who can only push ai buttons to design stuff like creatures nd general world building? those things require an in depth intuitive knowledge about design which is precisely what concept artists are skilled at and why they are valuable, unlike regular artists If you're using Automatic1111 (which it looks like you are), some of those things are basically just syntax errors. 1s, apply weights to model: 121. Basically, the double, triple, etc. To instantiate, I've been using a modified version of image-to-image colab because in the beginning Automatic1111 Trying out ControlNet in Automatic1111 Prompt Locked post. Disclaimer: I am not the author. If you just select a style and click generate, the style prompts will be added on to the end of whatever you have written in the main It is in both A1111 and Vlad (at least according to the code) It should be under User Interface in the settings, but it is a text field, and takes in the file name of the font, unfortunately the font size is not exposed as a setting. If you're on automatic1111 1. I use 0. By default the parenthesis ( ) is AUTOMATIC1111 web UI's way of telling that anything inside of them would be weighted more and thus be more emphasized on the final image. I saw the example of using the "|" for creating multiple prompts. IMHO: - InvokeAI's WebUI interface is gorgeous and much more responsive than AUTOMATIC1111's. 95 a lot. Combining modifiers allows you to have more fine-grained control over attention and emphasis in your prompts. . There's an option in the settings to use the old or new method, some code changes make certain combinations using the ( (word)) format not work correctly. 1, or write it explicitly such as (green:1. I try to replicate this example in my local installation but i can't replicate something similar to that result. If you cant get handcuffs, for example, then maybe a different object with a similar shape to start off with will help: I learned that prompt weighting is handled differently than Auto1111. Here's the exported parseq keyframe definitions, and here’s what the parameter flows look like when it's loaded up: Postprocessing: I moved the only place where a prompt like ((A pile of rocks)) AND cyberpunk Actually implements the (((weights))) and uses the AND to separate prompts is in a1111 That's fine normally but I want to make a strable diffusion webapp and any time I use a version of stable diffusion outside of A1111 these features aren't present. 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 SD GUITard supports weighting prompts. Hey r/sdforall!The other day over in r/FurAI, one of our users was permanently suspended for "promoting hate" after sharing a prompt someone else had used to generate an image. negative prompts and prompt weights are processed SD GUITard supports weighting prompts. Happens with almos every prompt involving people. You can string as many as you want but they all conflict it can be done, but there's really no use for it, it loops through till 75th then resets weights for new ones. is listed in the Automatic1111 wiki. The AI gives more attention to what comes first in each /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. support for stable-diffusion-2-1-unclip checkpoints that are used for generating image variations. 5,1,1. You can view the prompt here (warning: NSFW language), the (NSFW!) original submission here and the ban message here. 21) and ((prompt)) mean the same thing. PSA: High prompt weights don't produce good results in SDXL. If the weight is not specified, it Prompt used: a painting of the the mona lisa, by leonardo da vinci. Class Prompt is basically the same as the instance prompt, only used to generate the Did a few comparative experiments on model checkpoint merging and how they affect output. It just throw errors saying STRENGTH is not a number. you can type something like (green) to set weight of the token to 1. 8>" is the same as "<lora:mountain_terrain:1> (mountain:0. Depends on the implementation. A very short example is that when I have a vague memory of seeing a video where a used had a dropdown menu for all of their lora's that would import the "<lora:filename:#> and possibly the trigger word, into the prompt. its my first time using google collab to run automatic1111/stable diffusion Locked post. Using Stable Diffusion 1. Although let's say I wanted to add variance for multiple elements within the prompt. A Character folder with higher weight and folder with different Style pictures and randomly pick one of each and let it run for 200 Pictures for like completly you can control the master knob of the lora like this "<lora:mountain_terrain:0. First previews until ~75% look great, but after it shifts to these. In ComfyUI the prompt strengths are also more sensitive because they are not normalized. 5) switches the prompt to "starting word2 ending" It helps if you cant get the shape right for something. 4] I just want to extend it to allow for both a start and stop time so you could do even more fine tuning of prompts. How long can a prompt be in Automatics SD? AUTOMATIC1111 can handle longer prompts than the 75 token limit but I make it a habit to stay below that for compatibility with all other SD repos out there. g. varying prompt weight on two phrases, X/Y plot Prompt /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. 5 with AUTOMATIC1111. Go to the Lora tab and use the LoRA named "ip-adapter-faceid-plus_sd15_lora" in the positive prompt. 1 kind /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. When 1. Share Add a Comment. Using the same prompts, seed, CFG, etc Reason I ask this is because one can use Comfy (faster, less ram) to generate a the 7b model doesn't outperform GPT-3. It was the weighted prompts that I really wanted, but it was the new Vae finally brought me over and all the awesome upscalers that come packaged with it. Now since I do things in batches of hundreds to thousand, and I have about 0,1-0,5% rate of success. 1 official features are really solid (e. As in one prompt:1 another prompt:3 still other prompt:0. Check out this 'single word' result: It is my third day of learning Python, so things will be a little rough and, certainly, the prompts need work. 2 for the overall, and 0. /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. Sum doesn't need to add up for 1. The prompt "A symmetrical photo of a cat and a dog" Gives me a hybrid catdog. Automatic1111 - Apply prompt after face restoration (or apply prompts at different stages) Question - Help I'm afraid i can't find the link, but it was on a comment on civit, where someone mentioned a new feature in the latest automatic1111 where prompts could be added at different stages - for example after the face restoration stage. Are there clear advantages to other UIs, particularly with SDXL? Yes. 1 or 0. 8), (valleys:0. You're more likely to get a prompt where the pieces fit together than just randomly-thrown together words. What is the best way to add weights to certain areas of the prompts? Using a 1. First the 2 obvious candidates for a merge, SD and WD look distinctively different on each weight configuration. Generally, you need to use both new keywords. automatically select current word when adjusting weight with ctrl+up/down add dropdowns for X/Y/Z plot but I read there were a few recent improvements to In Auto1111, SD processes the prompts in chunks of 75 tokens. 8)" this is useful for loras who have various keywords, like: <lora:mountain_terrain:1> (mountain:0. . I have a text file with one celebrity's name per line, called Celebs. Each parentheses multiplies the weight by 1. This also allows you to add prompt weights so you can have multiple LORAs activated in a single prompt. I heard that it should be possible to add weights to different parts of the prompt (or multiple prompts weighted, same thing I guess). Prompt alternating is a new feature in webui by Automatic1111. Like if I put Subject A AND Subject B, it will usually create a single subject out of the descriptions of A and This video is a quick & dirty demo of sd-parseq (described in this post). (changes seeds drastically; use CPU to produce the same picture across different videocard vendors; use NV to produce same picture as on NVidia videocards) It is true that A1111 and ComfyUI weight the prompts differently. 0. EDIT - Add to the Batch All Sampling Methods. Is there a reason. 5-1. Only the tokens with weights will be inside round brackets and separated by a colon Basically you pick certain style elements and a bunch of preset keywords get added to your prompt in the background. If you're using automatic1111's webui, there's a lot of stuff you can enter into your prompt to get it to do different things, like swapping out words at certain steps, alternating between words, etc. Here is my understanding based on how the fine-tuning algorithm works and personal experience. parentheses and brackets are a simplification of the prompt weights, which get fed to the scheduler as percentages. 5-inpainting is way, WAY better than original sd 1. 0 and And the individual sections of the prompt can both use the full token limit. Weights loaded in 138. If you are familiar with inpainting, you can use an overfitted model by generating an image with a standard . Try a CFG value of 2-5. 6) if /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. Better Deforum Automatic1111 Animation Prompt Guides & Tutorials? Some examples of PixArt Sigma's excellent prompt adherence (prompts in comments) "Make a prompt describing a character from the Lord Of The Rings, describe their gender, either male or female, and use it when describing the character. Yes this works! Tested and helpful for those who want some inspiration and help on what negative Each ( ) pair represents a 1. Previously you could emphasize or de-emphasize a part of your prompt by using (braces) and [square brackets] respectively. Unlike prompt editing, which allows you to specify at what point the prompt changes, prompt alternating switches it Automatic1111's allows for prompt weights with for positive and [] for negative, but it also lets you drop keywords, replace them, or introduce them mid-render. 4 works properly, 2. There is a difference between the results I get from Office PC and Home PC using the same prompt and everything (automatic1111) so I am not surprised to see this small In your prompt file, you'll put flags, in this format:--prompt [yourprompt] --negative_prompt [yournegativeprompt] Example prompt txt file:--prompt a castle, rocky landscape --negative_prompt trees, shrubs, plants /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. The snippet of code can be - The weights need to be reduced down on the positive prompt: "masterpiece, top quality, best quality, official art, beautiful and aesthetic, (1girl), extreme detailed,(fractal art),colorful,highest detailed" A1111 has an incorrect implementation of the way it averages out the weights from the prompts so you get different results in Comfy 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. Focus on the character, what they are wearing, and what the traits and appearance of It’s S/R, for Search and Replace . So I got textual inversion on Automatic1111 to work, and the results are okay. Describe alternatives you've considered I hacked my local version gist here of my changes: prompt_parser_py /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. I see latest version of Shivam's collab has changed again ;-) So now it is "instance prompt" and "class prompt". Depends on the temperature setting, of course. You make prompts of high quality images by describing illustrations of characters, describing of backgrounds, and more for text-to-image AI models. true. I'd like to know what the square brackets do and why people sometimes use (worda:wordb:0. 8 for example) but results are not so nice. Another nice thing about saving prompts/styles is that you don't have to paste it into the prompt area. Class Prompt: "[filewords]" same as above Sample Image Prompt: : "[filewords]" same as above Image Generation: Class Images Per Instance Image: 10 or 20. And I never get it to work by using a variable name like that. Reply reply More replies More replies I know how to create batches using the same prompt except this is different as I want to switch the model each time and I have not found a way to run all of my models from a single prompt. 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). PR, (. Variable params: sd-parseq controls seed, noise, contrast strength, scale, prompt weights 1-4, x/y/z translations and x/y/z 3D rotations. 0>,<lora:2001-08:0. When starting out from scratch, I usually don't use any negative prompts and only use them to remove/avoid certain specific aspects in the generated images. Thanks in advance. Pick one of those then Batch out all the Sampling Methods. but also the location in the prompt is weighted. txt files with the token I assigned replacing my name -no class data -instance token is my name without vowels -class token is man -instance and class prompts are [filewords] -sample prompt boxes are blank -no class img gen This takes about an hour to run on my setup. See detailed progress information in prompt. Reddit tend to be opaque about suspensions and hasn't provided further I did this little script exactly for this reason when testing the dev branch. A lot do positive - negative and are limited to 75 tokens each. I recently read that prompts are not only stronger at the start than they are at the end, but more specifically, prompts are stronger at the start of I have a prompt delay trick that I don't see people talk about. (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. The script will look for the value before the first comma and replace it with the ones after it, one by one option to pad prompt/neg prompt to be same length remove taming_transformers dependency custom k-diffusion scheduler settings add an option to show selected settings in main txt2img/img2img UI sysinfo tab in settings infer styles from prompts when pasting params into the UI an option to control the behavior of the above Minor: Thanks :) Video generation is quite interesting and I do plan to continue. If I would have to guess, it looks like the config of SD 1. It automatically normalizes the prompt weights so that they sum to 1. So I set up a prompt and batch out all the model types. [detailed description of setting : detailed description of style :0. But here's the thing: This rule isn't about the whole prompt, but for each chunk. One would assume "and" to be compositional, /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. I've run automatic1111, and invokeai. how much attention they get in the prompt, the weight of them /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. Massive update to StylePile, my prompt generation assistant for AUTOMATIC1111. More details here. 21 = an increase of 21%. It is said to be very easy and afaik can "grow" I think you can use the "prompt s/r" (prompt search and replace) option under the xyz script then put into the field: <lora:2001-08:1. Detail Tweaker LoRA - LoRA for enhancing/diminishing detail while keeping the overall style/character; it works well with all kinds of base models (incl anime & realistic models)/style LoRA/character LoRA, etc. 1. You can use prompt weights and stuff to handle slight over or under fitting. The FAQ states that Auto1111 does some form of normalizing, but I don't entirely understand that. 5 would be 50% reduction in weight of the prompt Does this work on automatic1111 or only in other specific programs? Sure! The prompt itself if fortunately very short prompt: "fantasy-tabletop-game ((real photo of new-york city) NOT ([floor-plan] perspective))" negative-prompt: "stock grayscale childish detailed (isometric:1)" What I do in this prompt is I see you use parentheses to a greater or lesser extent to determine the weight of some keywords. 1 = 1. I'm unsure if setting A1111 Emphasis mode (in Settings - Stable Diffusion) to 'No Norm' will fix this, but seems worth a try. 0 and my other SD weights? What do you mean when you talk about weights? It doesn't seem to match up with any actual proper use of the terminology. Stable Diffusion Prompt Weights. - From what it looks like the weights of the models are off, as the do work, but the results have nothing to do with the prompt. and for the second question the order of the <lora:mountain_terrain:1> doesnt matter. Stacking more like ((this)) would make it even prominent. OP, can you do an XYZ grid using the same seed, sequentially increasing the LoRA weight from 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. Best: ComfyUI, but it has a steep learning curve . - The 2. atm i cant find any other solution to test the weight of a prompt using the xyz plot script other than using prompt s/r and manually type each weight step in the Is there a Automatic1111 "OR" prompt? Question Without using scripts or extensions, is there a format that does an exclusive OR between phrases/tokens so that a muti-image batch has a weighted chance to do either? Also, I heard at some point that the prompt weights are calculated differently in comfyui, so it may be that the non-lora parts of the prompt are applied more strongly in comfy than a1111. Instead, I just type the value, including the one in the prompt. 4 is applied to all models, so that only 1. For the same reason, I also don't use any prompt-weight/negative /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. 5. It cuts some of the flexibility that the more advanced tools have, but you have the most useful stuff (model choice, loras including weights, embedding, negative prompts, prompt weights, aspect ratios, upscaling, img2img, (some) controlnets, etc). Model loaded. Personally, 75~125 is an ideal range to get highly directed results if you don't mind missing a few unimportant prompts, and never go more than 150. a fickle thing, with lower value and total number of prompts a value between 7-10 is best, however if you have a lot of prompts/weights an increase of 10-14 can /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. 1 multiplier to the attention given to the prompt so basically (dog) means increase emphasis on it by 10%. View community ranking In the Top 1% of largest communities on Reddit. I believe that to get similar images you need to select CPU for the Automatic1111 setting Random number generator source. /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 . I'm a skeptic turned believer. Choose a weight between 0. Move the embedding to the very end of the prompt. It automatically normalizes the prompt weights so that they sum to 1. The models I'm training respond well to setting emphasis at 1. 7 gb one, but if I lower the weight I start to get an unrelated picture but great quality, if I keep the weight at 1 then it gets the poses right I just got done investigating this exact negative prompt list with A1111 local install. On my 12GB 3060, A1111 can't generate a single SDXL 1024x1024 image without using RAM for VRAM at some point near the end of generation, even with --medvram set. The token system is weird. In the latest version there's a much better way by simply using a single set of braces and entering a weight multiplier. Is there a way to add variability to weights in Automatic1111? Question - Help Dynamic prompts extension, and then make a wildcard, which is just a text file WILD! Fair to say that it's working wonders :p PRO TIP: For ultimate prompt bashing, I've found that setting Latent Couple to only 2 segments, and both at 1. Up to five tokens will have a weight between 1 and 1. 2) or (water:0. I released a native custom implementation that supports prompt This is a quick experiment on "tag weighting" symbols you might see in the prompts. 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. 0 weight, works best! I noticed that if you place your own starting prompt with As far as I can tell, how prompt weighting is handled is one of the key differences between ComfyUI and A1111 (A1111 does some kind of normalization I think). /r/StableDiffusion is /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. It's a surprisingly big hastle to have to look up the filename and stuff every time you need a lora that you haven't used in a few weeks. Is it possible to easily switch back and forth between SDXL 1. 8> and so on. I know that Automatic1111 added them as well as allowing >75 tokens in a prompt. 4). 2 etc 11 votes, 14 comments. Maybe the 13b, but the real deal is the 65b model, which you won't be running on consumer hardware anytime soon, even using all the optimization tricks used on HF transformers Thus, although there is no actual limitation of your prompts, you should still try to keep your prompts fewer in order not to get your prompts ignored. 5 SD build on Automatic1111 if that helps. Easiest: Check Fooocus. 1,0. I want a cat for the first five steps, then a dog, then a mouse, please? I thought I could do it with prompt editing but it looks like that works for things that i copied the raw file clicked "run cell" but didnt work. com (prompt:1. Weighted prompts may be the only way to get >weight\_interpretation: >Determines how up/down weighting should be handled. Feedback welcome. I was wondering if someone understands how this works. Adjust influence of result types, artists and styles. You could then use the additional scripts and combine with the prompt to generate different weights like LORAPROMPT,0. 2) for How to change Prompt Weights in Automatic1111. 9>,<lora:2001-08:0. beginning of the prompt gets more weight than the end of the prompt. It's really not. For example: windowless, window, no windows You just added the window token to your prompt 3 times. I used the same seed and prompt without entire negative prompt list and then with. Insert keywords sequentially or randomly. 3+ it might not work, I just updated my UI and block weight extension is no longer functional and I'm searching for a fix, the maker says Hires fix is the issue and the temporary solution is to just not use it, but I can't seem to get it to work even with the hires tab closed, I used block weight so often for everything :( /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. And in a prompt I have here, copied from I don't remember where, someone used \"word\". I just switched from hlky to AUTOMATIC1111, so I’m especially interested to know whether you can use negative prompt weights with it. The last prompt used is available by hitting the blue button with the down left pointing arrow. If it works on Nightcafe they might have added it (?). Open comment sort 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. The big current advantage of ComfyUI over Automatic1111 is it appears to handle VRAM much better. Easiest-ish: A1111 might not be absolutely easiest UI out there, but that's offset by the fact that it has by far the most users - tutorials and help is easy to find . 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. Loading weights [06c50424] from C:\stable-diffusion\Automatic1111\models\Stable-diffusion\model. it get erased before the prompt is executed, keep /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. 9 for faces because the likeness leaks away faster than the screwiness to the rest of the image is reduced. Let's say their shirt was blue and you wanted a red shirt. Well I'd say that with same seed and prompt, comparing the new and old prompts isn't that much different overall - the new samplers just seem to be more reliable at making good stuff. True, ControlNet-0 Module: openpose, ControlNet-0 Model: control_sd15_openpose [fef5e48e], ControlNet-0 Weight: 1, ControlNet-0 Guidance Start: 0, ControlNet-0 You are now an AI text-to-image model prompt generator. 2. The idea is that we can load/share checkpoints without worrying about /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. It works in the same way as the current support for the SD2. 9 SDXL weights. 1). 9. You add "red shirt" to the prompt and regenerate with the same seed, and unsurprisingly you end up with a different image. py file and launch it with any python 3 (even the system install) directly from your Lora directory or sub-directory. [A:X] - For the 1st X steps, there is no prompt here. /r/StableDiffusion is back open after the protest of Concept artists are the LAST ppl that'll lose their jobs to AI. Applying cross attention optimization (Doggettx). On some site today, I saw that someone also used [word], [[word]]. Automatic1111 - Dreambooth [filewords] and concept settings tutorial . This weight determine how important the token is in the prompt with a higher weight being more important. ai as well, especially the longer prompts. I don't like the GRADIO webUI because I constantly get disconnected. the PR has code to run the leaked 0. 1) and (prompt) mean the same thing (prompt:1. I have automatic1111. Describe the solution you'd like Improve the prompt parser and resolver to support this kind of blending. And then I started removing them one by one. One of my prompts was for a queen bee character with transparent wings -- the "queen bee" bit affected the rest of the prompt enough so that it included the wings. text in prompt, use name of Lora that is in the metdata of the file, if present, instead of filename (both can be used to activate lora) //github. I used to really enjoy using InvokeAI, but most resources from civitai just didn't work, at all, on that program, so I began using automatic1111 instead, seems like everyone recommended that program over all others everywhere at the time, is it still the case? /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 this doc i found about the 'Alternating Words' feature where you use a pipe to 'combine' 2 prompts. The longest prompt I've ever done was like 110 tokens and that's because I was horrible at writing prompts then. Colon (:): The colon is used to assign a weight or importance to a specific word or concept in the prompt. because so much happens every day, but there's now support for SafeTensors in Automatic1111. 4 quadrant divisions /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. You have to in the sd-webui (prev. ckpt. The underscore " _ " , is used for the so called dynamic prompting extension. But it /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. Additionally the more tokens the worse the result. But I am not that bright. Open comment sort options The first element of the "Prompt S/R" list will be used as search target /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. It allows you to change parts of prompts or entire prompts during the generation process. 15" to the prompt. Then I included entire list and ran several random seeds and a few different prompts. Which would be weighted 0. com See the Examples section of the Github, but your prompt for the above would be like: Overall prompt AND subprompt1 AND subprompt2. 8, 0. Hi. The prompt "A symmetrical photo of a cat AND a dog" gives me a catdog hybrid. Sort by: Best. 5). 5 with inference code. Prompts Instance Prompt: "[filewords]". I usually copy the prompts with the button and put them on Automatic1111's script "Prompts from files or textbox". prompt: girl with bikini on the beach, wdgoodprompt, (symmetric), (exceptional I'm using the canny 5. 8 each for the two overlapping halves. -no sanity prompt Concepts-Used directory with photos of me, and . 3). 4 ! prompt by CLIP, automatic1111 webui /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. 0 releases hopefully it will just work without any extra work needed. So we can start with a loose example prompt like: Masterpiece, best quality, indoors | outdoors | cafe | forest, cats | dogs | pandas, sleeping | laying down, open mouth | tongue out In comfyui running same prompt as automatic1111. 1 X 1. 1s, move model to device: 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. Maybe try putting everything except the lora trigger word in ( prompt /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. 6s, load VAE: 0. 5s (load weights from disk: 16. You need to add it to your negative prompt only if you don't want to see it at all. [A::B] - Thing A is removed from prompt after B amount of steps There are a couple more abilities to this, as well. If you browse enough (here or other AI art sharing subreddits) Yeah I like dynamic prompts too. It will create/fill the meta file with activation keywords = Get the Reddit app Scan this QR code to download the app now I just had a bit of an 'aha' moment when I finally figured out that one can set LoRA specific weights: " AUTOMATIC1111 users can use LoRAs by LORA-FILENAME:WEIGHT> to your prompt, where LORA-FILENAME is the filename of the LoRA without the file extension, and WEIGHT (which /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. then run Automatic1111 so /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. Add More Details - Detail Enhancer - analogue of Detail Tweaker. 1. As an example a prompt could be "A beautiful woman walking in a flower garden", I might use a negative prompt of "blonde" if I want all the generated women to be non-blonde. text masking, model switching, prompt2prompt, outcrop, inpainting, cross-attention and weighting, prompt-blending), and so on. and if the lora creator included prompts to call it you can add those to for more control. Just wondering, I've been away for a couple of months, it's hard to keep up with what's going on. It works wonderfully smooth. 0 ie 0. it tries to render a single image from the prompt. Now I start to feel like I could work on actual content rather than fiddling with ControlNet settings to get something that looks even remotely like what I wanted. The new method is (word:1. 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. Put exactly [filewords] without the "". The yasd-discord-bot can do what you describe: on each sampling step, denoise with the positive prompt and again with the negative prompt then take the weighted sum with weights 1. jmmk ssozb vcdlkw mydrq bmus vqvrs jvg epqpwfp cqnfb sagwf