Stable diffusion instance prompt In Stable Diffusion, this can be adjusted to either emphasize or de-emphasize certain aspects of the prompt. Search. You can use a negative value in the prompt field. 2. My question is: Does stable diffusion search outside of the model it was trained on (I. 🚀 This update addresses issues caused by recent changes in chat GPT responses and enhances the prompts for better results. cog predict -i instance_prompt="" -i class_prompt="" -i instance_data=@data. I don't have a good answer, but would love to hear from someone who did. g. Discuss all things about StableDiffusion here. Extensions for Stable Diffusion prompt generation, such as browser add-ons or app plugins, enhance workflow efficiency by integrating prompt crafting directly into your creative environment. Posted by u/Dr-Dark-Flames - 3 votes and 35 comments I've been trying many things to generate only one character in a landscape image, i can do it in portrait but landscape always does usually Image by the author. 1- That button opens the list under prompts you see in the image Click the refresh button to the right of the Specifically thinking about eyes. I have only one question which I didn’t figured out yet: when I adjust the prompt for my inpainted area (e. I would like to save them in an easy-to-use way. A few short months later, Simo Ryu created a new I needed to make a prompt matrix, but I could not find anything that just explains how to format the prompt, and when I did find something it was incorrect (which turned out to be because A1111 updated since the guide was written). In that case, Just keep spam-clicking compute, it will add more to the output (sometimes even single letters one by one) coherently to the rest of the description. 8)" this is useful for loras who have various keywords, like: <lora:mountain_terrain:1> (mountain:0. 25) is stronger in the prompt than (hands:1. City / urban prompt usually have more diffused lighting. Thank you for that. You can try it out for FREE. R. Pink cat ears. The train_dreambooth_lora_sdxl. I have been playing around on Stable Diffusion for about two weeks and have had pretty inconsistent results. Resolution 6. multiple characters touching needs much more steps to function. 8, and either way my animation seems to jump and show different "shots" instead of one continuous shot, when I ask for several different actions or poses from a character. That translates to roughly 380 characters, depending on how much punctuation you use. This is pretty interesting to me. . An example prompt could be - "f"a photo of {unique_id} {unique_class}". Do I have to "build it up" so to speak so it will default output the pencil sketch I think it depends if you are trying to train something in as a new concept, or shift the weights on an existing concept. Here's my generated image in the structure you put up. It allows you to change parts of prompts or entire prompts during the generation process. It works by associating a special word in the prompt with the example images. The k for various models such a k-euler, or other k-diffusion models is short for "Katherine Crowson’s k-diffusion GitHub repository, The repository implements the samplers studied in the Karras 2022 article. Previously, I have covered an article on fine-tuning Stable Diffusion using textual inversion. Obviously not the same, but my quick process was: - import your photo into img2img- interrogate DeepBooru. It can be used entirely offline. It feels like "there is only a giant picture and no text" till you scroll down a bit and see the title and then the text. So as a new user I want to know that how to give a proper and good prompt to get the best results. I have been trying prompts but not sure Hi Creators, I am trying to build a library of Indian dress prompts that Stable diffusion understands. 2 and 0. Concerning steps: Let's say I want a blend of a cow and horse, but I want it more cow than horse. Prompt alternating is a new feature in webui by Automatic1111. 21) - alternative syntax; /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 can use a negative prompt by just putting it in the field before running, that uses the same negative for every prompt of course. girl I would replace with woman, 1boy with male) WebUi users copy the trained . anatomy of single individuals is more easily fixed with negative prompts than anatomy of multiple interacting individuals (that overlap/occlude in the camera projection). Mega Prompt Post: First One: Prompt: light azure armor!!! long wild white hair!! covered chest!!! fantasy, d & d, intricate ornate details, digital painting, pretty face!!, symmetry, concept art, sharp focus, illustration, art by artgerm! greg Automatic1111 is a program that allows you to run stable diffusion in your local machine, so you can run it for free without having to pay a fee or buy processing time from an online service. This is NO place to show-off ai art unless it's a highly educational post. 2) or (water:0. Unlike textual inversion method which train just the embedding without modification to the base model, Dreambooth fine-tune the whole text-to Alrighty, basically when I do prompt work, let's say I am making an Orc and I use something similar to the following: orc full body, concept art, wearing ancient armor, by beksinski, ((Pathfinder inspired)), (DnD inspired), (((Lord of the Rings inspired))) So trying to find prompt examples but the discords all removed their specific categories for images like food/humans/creepy etc for some reason. This new method allows users to input a few images, a minimum of 3-5, of a Not quite sure where these may fit in terms of subs, each of the characters were made using SD prompt: "<Character or actor name>, gta 5 cover art, closeup, borderlands style, celshading, symmetric highly detailed eyes, trending on artstation, by rhads, andreas rocha, rossdraws, makoto shinkai, laurie greasley, lois van baarle, ilya kuvshinov and greg rutkowski" ** /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. This is an experimental model that translates natural language to prompt tags for stable diffusion. ~*~aesthetic~*~. LoRA is a parameter-efficient fine-tuning Another trick I haven't seen mentioned, that I personally use. What do you use for "prompt fixed ratio" in the . The basic idea is that you can assign numerical weights to the various elements in our prompt. I mean of course all training is shifting existing concept weights but, when I used to mess around with dreambooth a lot I If you are running stable diffusion on your local machine, your images are not going anywhere. This is no tech support sub. true. 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 that have them. I got the following: 1girl, bare_shoulders, black_hair What's to complain? Since the end-goal is the removal of ANY remaining traces of effort, ability, talent or perseverance, anyway. And also indoor / outdoor prompt does matter to lighting. ESP32 is a series of low cost, low power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. Here's my second generated image with the same seed, same text, just separated by commas only - not in your structure. 2. I used Nerdy Rodent's install and it works fine, but I was curious what is the difference between class prompt and instance prompt? Does class prompt focus on STYLE I am looking for a prompt that can make the face smile a little bit, naturally. These tools often offer features like auto-completion, keyword suggestions, and prompt libraries. "jet black irises" is too specific for the current models. This tutorial focuses on how to fine-tune Stable Diffusion using another method called Dreambooth. You can do this manually or use an automated tool like stable-diffusion-webui-wd14-tagger. Replace whatever with your thing, then add the rest of your prompt to set up the artstyle or whatever you're trying for. Update Nov 3 2022: Part 2 on Textual Inversion is now online with updated demo Notebooks! Dreambooth is an incredible new twist on the technology behind Latent Diffusion models, and by extension the massively popular pre-trained model, Stable Diffusion from Runway ML and CompVis. That was interesting but I got curious about how well SD knew some of my old fave artists, and quickly realized that they (and I) are all a lot older now, so most of the pics are older folks, but occasionally it threw in some elements from the younger person, like Just to add to the complexity of the matter, you may want to look at the Neutral Prompt extension for A1111. It has two new features, Perpendicular and Saliency-Aware prompting which are called into action with the AND_PERP and AND_SALT keywords. The ESP32 series employs either a Tensilica Xtensa LX6, Xtensa LX7 or a RiscV processor, and both dual-core It contains the StableDffusion Prompt Generator and other resources you are free to share, such as the Stable Diffusion Prompt Book, the Dalle2 Prompt Book, the Stable Diffusion SDXL Model Testing, and more. If you're using some web service, then very obviously that web host has access to the pics you generate and the prompts you enter, and may be 1. Thank you! Yes, everything I've tried so far looks a million times better than my previous attempts: drawings, paintings, 3D renders, fantasy, sci-fi, caricature, etc. And I sometimes get a bit thrown by some of the inclusions I see in prompts that I experiment with from civit. You can disable this in Notebook settings. it get erased before the prompt is executed, keep The above prompt will load the Rembrandt Lora and the Degas Lora will have no effect. Share and showcase results, tips, resources, ideas, and more. Hi all, I made a free Notion template to keep track of keywords, automatically generate prompts, and organize resulting images, all in one Notion Managed to engineer a prompt for this on DALLE-2, but struggling to replicate it with Stable Diffusion. It's no where near on the level of an LLM like ChatGPT or even the smaller (and much worse) LLM models you can run locally with stuff like Gpt4All. If I trained the Rembrandt style with "ohwx" instance token and the Degas style with "nlwx" instance token, could I combine their styles in one prompt? For example: If you use AUTOMATIC1111 locally, download your dreambooth model to your local storage and put it in the folder stable-diffusion-webui > models > Stable-diffusion. And you'll also see the head and what's above. It has a clip_image_prompt variable that probably does what you're looking for, at least for a single image. You are getting more accurate results on the first one because the sentence is the first element on the prompt which has a stronger group weight than the rest of the keywords and it contains all the scene description. Variations of Original Images Created by X/Y Plot Run to Study Different Stable Diffusion Models. It was a way to train Stable Diffusion on your objects or styles. "Desert background" prompt tends to have strong direct sunlight at noon. ai on a 30 different images of different people with specific facial structure, skin conditions, streetwear styles etc- i’ve used this same training data before for a dreambooth model and had great results- it isn’t so much a single person, but We introduce InstanceDiffusion that adds precise instance-level control to text-to-image diffusion models. /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. Style 4. Excellent results can be obtained with only a small amount of training data. The anything 3. The prompt structure seems to work great. game icon logo of one type of whatever. Hopefully some of you will find it useful. I've introduced a Lite version of my Stable Diffusion Prompt Generator! 🚀 It's perfect for those curious about AI art but not quite ready for the premium edition of my prompt generator. **I didn't see a real difference** Prompts: man, muscular, brown hair, green eyes, Nikon Z9, Canon R6, Fuji X-T5, Sony A7 Within the Stable Diffusion webui, you can simply drag the image directly into the prompt box and then press the button with a small arrow located below 'Generate' Additionally, there is the option to use the 'PNG Info' tab and drag the image there; it will display the prompt and parameters. you can control the master knob of the lora like this "<lora:mountain_terrain:0. two. Dreambooth alternatives LORA-based Stable Diffusion Fine Tuning. Regional Prompter has always been pretty bugged on Forge in my experience - already was before the latest commit made it worse. In recent training, I used a token for sake of argument "fphamart" so a prompt: beautiful scene by fphamart and in one image SD added a text to the corner with (c) fphamama or something similar, so the understanding of the text is actually VERY HIGH, Lastly, there's AND which should theoretically force stable diffusion to pay attention to both/multiple things in your prompt. Martin, (Regal armor:1. If anything, it can be a bit annoying when you want a more diverse set of faces but you keep getting models so you need to start piling on negative tags to pretrained_model_name_or_path: path to pretrained model (we’ll use stable diffusion 1. The closest I've managed to get is by using the following prompt: "a pictorial black icon of a location pin on a white background, minimal design, small centered in frame" I've just released an update for my Stable Diffusion Prompt Generator to version 4. 5 model) instance_data_dir: a folder containing the instance images (the instance images are the ones we The closest I've seen is if you hit the save button your image and the details of the prompt you used get saved to the logs folder. Each instance consists of an image generated by the Stable Diffusion model and the prompt as well as parameters that were input into the model to generate the image. That one's more limiting than Regional Prompter. py script shows how to implement the training procedure and adapt it for Stable Diffusion XL. E Search the web for images related to the prompt if its not in the model training), or was the model he was using trained on those photos so that it recognized that part of the input? But, after closing stable diffusion and putting everything exactly back to what it was (so I think), it keeps outputting photo realistic style images unless I prompt it like before. I was doing terrarium photos and just chucked “Delorean” in there to experiment. 5 may not be the best model to start with if you already have a genre of images you want to generate. Makes infinite, largely stable images of cyborgs if you randomise the seed. Any interaction between two people has been pretty difficult with SD. Set the zoom of and such on the site and use the mm lens, the f stop, and preferably at least a camera brand like Nikon. To be fair, the regions not always working quite right is something Just a hint, if someone needs it (probably not, but you never know). You can use two different nodes by now, one is the simple generate a prompt with Prompt Quill and the second is to run sailing the vast ocean of data in Prompt Quill using comfyui. ckpt file into the models\Stable-diffusion directory of webui and switch between models in the top left corner Dreamstudio, ARC Eye tool and Photoshop. Use this and put camera info at the end of your prompt. Art-sharing website 5. However you will want to have a good PC with a good graphics card if you want to make the most of it. Stable Diffusion is trained on LAION-5B, a large-scale dataset comprising billions of general image-text pairs. When I simply use "smile", most models return a very big laughing face, with mouth wide open - the emotion is too strong. 11 votes, 14 comments. 3). Diffusers' Ethical Guidelines Evaluating Diffusion Models. If youre using Stable diffusion webui you can follow this image guide. Unlike prompt editing, which allows you to specify at what point the prompt changes, prompt alternating switches it I finally found the time and some coffee to add an API to Prompt Quill and made a node for comfyui. 8), (valleys:0. Here's a sample pic too. Type of image first, so photo or portrait or painting etc. Works for basic cases I'm sure, but as soon as you want to split the image into regions horizontally and vertically, you're out of luck. 5) I found it written in the example prompts of the stable diffusion pipeline used by the huggingface resource page and have used this style for my prompts ever since Stable Diffusion Prompting Techniques #1. Imagine you could prompt an image, start a batch of lets say, 100 images, and while its generating, you can edit the prompt and the next generations will use this prompt until you change the prompt again. See doohickey diffusion, currently item #21 on this list. ai. Explore the top AI prompts to inspire creativity with Stable Diffusion. There are plenty of prompts available for western style dresses, but I haven't yet found a resource that is India/Subcontinent specific. It is not a symmetrical relationship, (hands:-1. So, for our example, this becomes - "a photo of sks dog". Each LORA or embedding that adds anatomy information to the mix requires a Hey folks – I've put together a guide with all the learnings from the last week of experimentation with the SD3 model. Some people use sks, etc. Hey everyone, just wanted to share something exciting. 3), BREAK, Resolute woman in I am using stable diffusion 1. What Also using body parts and "level shot" helps. You probably will want to upload 25 or more photos of subject (various angles, positions, lighting, et cetera), and train with at least 2000 steps. Stable Diffusion Prompt Weighting. For instance, if a user wants to focus on specific elements like color or composition, increasing the prompt strength for those keywords can yield better results. 💡 Note: For now, we only allow DreamBooth fine-tuning of the SDXL UNet via LoRA. Why name it tst_01? I learned the hard way and used a more descriptive instance prompt and got a wierd result biased by the instance prompt. Here's the output when the generation prompt contains the exact same text as one of the instance prompts: "tchnclr, a surprised caucasian 30 year old woman, with short brown hair and red lipstick, wearing a pink shawl and white shirt, while standing outside, with a ground and a house in the background, in the 1950s" Extremely similar to the training image shown above Instance Prompt: "sks icon of a [filewords]" Class Prompt: "icon of a [filewords]" Additionally, I have directed the system to generate ten images per instance image. 0 model can provide decent results if you use booru tags mixed with regular prompts. instance prompt: "jrdnpl black man" class prompt: "black man" classification images: "black man" - photo-like close-ups of the face of a black man wearing glasses. Prompts: Ultra realistic photo, angry cyborg warrior princess in a space station, thin beautiful face, intricate, highly detailed, smooth, sharp focus, art By tom bagshaw and beksinski. By gradually diffusing noise patterns into the image, stable diffusion creates stunning and highly detailed A Cog model that takes training images as input and generates custom Stable Diffusion model weights as output - replicate/dreambooth. The prompt might read "three girls in the forest with hooks for hands," and the image will be one girl by a lake with a cybernetic hand. DreamBooth is a method by Google AI that has been notably implemented into models like Stable Diffusion. Lighting An extensive list o class prompt: prompt to generate class images without your subject (for example: "Person in a suit") initialization prompt: prompt to generate images containing your subject (for example: In this comprehensive guide, I will walk you through the process of crafting effective prompts that will unleash the full potential of Stable Diffusion's AI, allowing you to bring your imaginative ideas to life with precision and control. Is there a way with the webui to say, for example, 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 start at 0 steps or end at max /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 You'll specify the INSTANCE_NAME in the prompt, so if you uploaded a bunch of photos of yourself, use spaghetti_david as the INSTANCE_NAME, and spaghetti_david in your prompt. Stable Diffusion Prompt Library . Excellent guide. 8>" is the same as "<lora:mountain_terrain:1> (mountain:0. Outputs will not be saved. There is zero tolerance for incivility toward others or for cheaters. Download the file and put it in your models/lora folder. How cool would that be! 10 votes, 15 comments. Prompt Matrix; Stable Diffusion Upscale; Attention, specify parts of text that the model should pay more attention to a man in a ((tuxedo)) - will pay more attention to tuxedo; a man in a (tuxedo:1. By teaching Stable Diffusion about your favorite visual concepts, you can. This is a place to get help with AHK, programming logic, syntax, design, to get feedback, or just to rubber duck. Adjusting prompt strength in Stable Diffusion is a powerful tool for You'll certainly get a lot of beautiful people without needing to specify that so it isn't the most valuable tag. Recontextualize objects in interesting ways: Instance prompt: Denotes a prompt that best describes the "instance images". Whereas traditional frameworks like React and Vue do the bulk of their work in the browser, Svelte shifts that work into a compile step that happens when you build your app. Use something short that is gibberish. Whether you're using AUTOMATIC1111's Stable Diffusion WebUI locally or on a cloud GPU service, the interface Stable diffusion is an AI technique that involves iteratively updating an image to produce visually appealing and realistic results. There's a limit on tokens, 77 is the max (75 excluding the prompt beginning and end). and seems to be random, without meaning? /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. InstanceDiffusion supports free-form language conditions per instance and allows flexible ways to specify instance locations such as simple single points, scribbles, bounding boxes or intricate instance segmentation masks, and combinations thereof. and it will generate an image (either receive the image in the So I was sitting here bored and had the idea of running some song lyrics to see what sort of pics I'd get, just for shits and gigs. However, it falls short of comprehending specific subjects and their generation in various contexts A complete guide to writing better Stable Diffusion prompts: Define your topic clearly, choose material and style, include artist references, and add details for sharpness and lighting. Instance Prompt is a description of the instance images (the Learn and practice img2img. and for the second question the order of the <lora:mountain_terrain:1> doesnt matter. Prayer and inpainting are the only known ways to accomplish this using the current level of AI image generation technology. For instance: 'A futuristic cityscape at night Pretty typically I like to structure my prompts as follows. I just drop vowels and keep It might just be me, but i dislike a picture before the headline of a tutorial. I spent over 100 hours researching how to create photorealistic images with Stable Diffusion - here's what I learned - FREE Prompt Book, 182 Pages, 300+ Images, 200+ Prompt Tags Tested. If you’re 23 votes, 14 comments. After you've trained the model, when you generate images with the generation prompt: using the unique words from the instance prompt (e. And you'll very probably have feet. Thanks for explaining this. json file? I'd imagine that it could help with smoothness of moving between different prompts and different frame numbers,but I've tried 0. Low level shot, eye level shot, high angle shot, hip level shot, knee, ground, overhead, shoulder, etc. DreamBooth is a training technique that updates the entire diffusion model by training on just a few images of a subject or style. Also, using "ohwx" as the instance token for both Lora styles is a bad idea. Very similar to the training images (9 of 60 shown here) Model 2. A good process is to look through a list of keyword categories and decide whether you want to use any of them. Why does SD usually completely ignore my prompts and generate random stuff? This was a prompt where input in the "No" section "People, Limbs, Hands, Feet" The way I'd implement styles/prompts related to a specific model: Add a text file with the same name as the model and in the text file put the prompt/keyword you want to use by default. Jng6b9t - Low angle oil painting in the style of George R. specifying the main subject or scene you wish to depict. First of all, your language of "asking it" to do something implies that you might think Stable Diffusion (SD) is a lot smarter than it is. It works as a special operator in the webui and not like just another word in your prompt. You have to set up the program yourself so it does need some elbow grease but there Svelte is a radical new approach to building user interfaces. instance prompt: "jrdnpl person" class prompt: "person" classification images: I've noticed that often certain words or phrases tends to completely dominate a prompt and essentially determine almost the whole picture that gets generated while other things I add will only influence small details. For example - I see this in prompts. Diffusion models are trained with the text people have used to caption their images; I don't know how many images in their dataset would have such a detailed caption. This notebook is open with private outputs. I create them in an image editor using my main subject I want prompted in the foreground with an easily selectable neutral contrasting color as the background then do import torch from torch import autocast from diffusers import StableDiffusionPipeline, DDIMScheduler from IPython. ; you may need to do export WANDB_DISABLE_SERVICE=true to solve this issue; If you have multiple GPU, you can set the following environment variable to choose which GPU to DreamBooth is a method to personalize text2image models like stable diffusion given just a few (3~5) images of a subject. Color 8. The input parameters include seed, CFG scale, instance prompt: "X person", class prompt: "person" learning rate: 0. "elon musk") impacts the output image (no surprise). The resolution didn't fix my specific issue, but I also found that sd-webui-prompt-all-in-one and unprompted were conflicting with my dynamic prompts. Find a prompt (including negative prompts) that generates images that are as close as possible to the training images. a deformed hand), do I just type in the element I want to generate or do I adjust the hole prompt I’ve used to generate the original image. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Anime taggers can work very well on non-anime images, but keep the previous paragraph in mind - you will need to use the anime tags to evoke the trained content from the output model. i am finding it tedious to pick an eye color for my subjects. I've just trained a LoRA for two concepts, but struggling to place them next to each other - with both names in the prompt. When inpainting, you can raise the resolution higher than the original image, and the results are more detailed. , unreal 5 render, trending on artstation, award winning photograph, masterpiece I am trying to remember the option in prompt statements to use an OR command ie: birds OR bees, realistic etc etc One Youtube Video I saw said to use the pipe|command to do this, but I can't remember if it was for stable diffusion or MJ This Stable-Diffusion-Webui's extension can translate prompt from your native language into English, so from now on, you can write prompt with your /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. Once in a while, I come across a really nice prompt, with a particular combination of settings. Last year, DreamBooth was released. If I do not I get brown 95% of the time. For instance: Nvinkpunk for Inkpunk Diffusion | Stable Diffusion Checkpoint | Civitai Another thing that I find affect lighting greatly is the background location prompt. This prompt library features the best ideas for generating stunning images, helping you unlock new creative possibilities in AI art. Prompt weighting is a technique used to give more or less importance to different parts of our prompt when generating images with Stable Diffusion. Ideally, the final version would read brainwaves to identify an as-detailed-as-possible concept, then draw into some online database of public preferences, and automatically optimize/tweak the raw "imagination" for optimal dopamine release of as many Nice, I took your seed prompt and ran it through my prompt generator and came up with these. For example, if your training images are photos of your face and you are an Indian woman, find a prompt that A good prompt needs to be detailed and specific. Action Movies & Series; Animated Movies & Series; Comedy Movies & Series; Crime, Mystery, & Thriller Movies & Series; Documentary Movies & Series; Drama Movies & Series Precise your prompt. Thank you for this. The thing is I couldn't give prompt properly. Posted by u/[Deleted Account] - 1 vote and 7 comments Hello! I am trying to switch from working with custom dreambooth models to working with custom lora models I have trained a LoRa on dreamlook. Think medium for the image. Currently I see two of the same subject, and both names work great, it's just that I can't seem to get both of them in the output at the same time. Feet on a shaggy rug. Just to be clear: It's not a stable-diffusion model. Medium 3. 000001 steps: 10,000 (good images by 6,000 with subtle improvements after that) Learnings: The class and instance prompt didn't seem to matter. Dreambooth is based on Imagen and can be used by simply A complete guide to writing better Stable Diffusion prompts: Define your topic clearly, choose material and style, include artist references, and add details for sharpness and Stable Diffusion is a powerful tool that allows you to generate images based on textual prompts. TOTAL NEWB HERE: But after reading so many Civitai examples, it seems there's a massive amount of randomness about it. I experienced a "glitch" when it elaborated long prompt: it stopped halfway in the mid of a sentence. However, I am encountering challenges with the images that are being produced for classifications. So - I am relatively new to SD (although not to AI art generation). 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. zip There are DreamBooth. I used Hi, Is there a version of Stable Diffusion I can install and run locally that will expose an API? Something I can send a POST request to containing prompt and dimensions etc. Additional details 7. 25) in the negative prompt. Action Movies & Series; Animated Movies & Series; Comedy Movies & Series; Crime, Mystery, & Thriller Movies & Series; Documentary Movies & Series; Drama Movies & Series First person view and point-of-view usually more or less get the perspective for me. If would be awesome if via prompt, lora, extension, whatever I could do a distribution: A possible unintentional side effect someone pointed out to me is that by training on long detailed prompts (richly tagged danbooru images, for example), the model is conditioned to associate prompt length with image quality, because poorly tagged images in those datasets tend to be lower quality (ugly picture = less people interested in adding tags to it). Subject 2. Hey there, I have been trying to prompt, deep depth of field in Images (where everything is in focus, without a blurry background). But this is kind of a pain in the neck to try and recreate at a later date. If you won't want to use WandB, remove --report_to=wandb from all commands below. The keyword categories are 1. Specifically, it strongly emphasize imagery from the training images. 5 now a days. Perhaps someone will discover some previously unknown thing about these models that allow us to come up with prompts with that level of specificity - this isn't totally inconceivable, since the inner workings of the model is mostly obscured to us, and so SD was never trained on a text, but because of the sheer volume of training data, it can actually somehow interpret text. display import display model_path = WEIGHTS_DIR # If you want to use previously trained model saved in gdrive, replace this with the full path of model in gdrive pipe = StableDiffusionPipeline. And i struggle, i get some decent results with a prompt like this: +1 for this, I know I can drag the PNG into the PNG Info tab, but then I want that format converted to something that will work with "prompts from file", so I can quickly take my selects (pngs), drop them into PNG Info, and copy/paste or export to txt the prompt into the correct format for then running a batch or XY grid using several prompts from a file. from_pretrained(model_path, safety_checker=None, It's just one prompt per line in the textfile, the syntax is 1:1 like the prompt field (with weights). DreamBooth is a way to customize a personalized TextToImage diffusion model. For instance, if you want a tranquil landscape, your prompt should detail the scenery and any login to HuggingFace using your token: huggingface-cli login login to WandB using your API key: wandb login. The instance prompt you write at the beginning should be long and summarise your training goal (but not so long that it covers your usual words) (e. 5x weight like so: (point-of-view:1. How to train from a different model. The more I think I understand about Stable Diffusion the more I realize I have no idea how it works. Stable Diffusion v1. 6) if So I decided to try some camera prompts and see if they actually matter. If normal weight doesn't get the model to listen, use it with 1. I need solid backgrounds often in my workflow. The problem is not really with the keywords but the weights. If anyone has any resources Now i know people say there isn't a master list of prompts that will get you magically get you perfect results and i know that and thats not quite what im looking for but i simply need help with prompts since im not really that descriptive especially when it comes to hairstyles and poses. Hey, Redditors! 🌟 Ignite Your Creativity with the Ultimate Prompt Generator: Never Run Out of Ideas Again! Say hello to Next Diffusion, your ultimate destination for exploring the wondrous world of stable diffusion: generated prompts, tutorials & more🎨🤖 How Does it Work? At Next Diffusion, we've made prompt generation effortless with our intuitive dropdown select menu! Pretty specific, but I got decent results with a few tiny things using “macro photography” without even including size information.
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