Stable diffusion prompt optimizer. These settings have produced decent results for me.

3 is crazy high. Smooth and Rounded Graphic Line Optimization. 1. Reload to refresh your session. just make sure not to add offset noise and use a SUPER low learning rate. Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, cultivates autonomous freedom to produce incredible imagery, empowers billions of people to create stunning art within seconds. This weights here are intended to be used with the 🧨 Mar 30, 2023 · Step 2: Create a Hypernetworks Sub-Folder. Here’s a detailed framework to help harness the full potential of Stable This stable-diffusion-2-1 model is fine-tuned from stable-diffusion-2 ( 768-v-ema. Stable Diffusion & more Dec 1, 2022 · For the first iteration of the model, I’m using a BLOOM-560 model fine-tuned to generate Stable Diffusion (v1) prompts, I used RLHF to, over the course of one night, hunched over Google Colab, fine-tune a model to make high quality images from the base Stable Diffusion V2 model. Explore 130,000+ curated AI prompts made by expert AI creators. ckpt file into ~/sd-data (it's a relative path, you can change it in docker-compose. Customize your prompt optimization towards your needs, e. Offering versatility to users, it can generate prompts randomly or based on distinct parameters. Use keyboard shortcuts to insert AI prompts in a fraction of the time it takes to write them manually. A few particularly relevant ones:--model_id <string>: name of a stable diffusion model ID hosted by huggingface. Oct 19, 2023 · Stable Diffusion Prompter is a GPT designed for creating structured and high-quality prompts for AI image generation. (Output Variants) Hook up with local Stable Diffusion model. 3- get a random good images from google. The best way is failed and trial : check those website , click an image you like the art style , copy past the prompt in stable diffusion , see how it's like , change some words little and try again. The Dreambooth Notebook in Gradient. Stable Diffusion Portrait Prompts. The following is an initial prompt I made for ChatGPT to add more flair to a simple prompt. We propose a prompt optimizer that can guide the T2I models to generate safe and semantic-preserving contents without obtaining the structure of T2I model. sunset. co. 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. 3 which is 20-30%. like 1. Search Stable Diffusion prompts in our 12 million prompt database. 0: prevents batching of positive and negative prompts during sampling, which essentially lets you run at 0. Load Pretrained Model for Stable Diffusion v1. Stable Diffusion XL (SDXL) is a powerful text-to-image generation model that iterates on the previous Stable Diffusion models in three key ways: the UNet is 3x larger and SDXL combines a second text encoder (OpenCLIP ViT-bigG/14) with the original text encoder to significantly increase the number of parameters. Dec 28, 2022 · This tutorial shows how to fine-tune a Stable Diffusion model on a custom dataset of {image, caption} pairs. It is the first and only prompt optimizer that can automatically optimize your prompts for leading models like ChatGPT, GPT-3/3. ckpt here. 1. 💡 With Prompt Booster, you can create prompts that encourage detailed and nuanced responses from ChatGPT, leading to Jan 3, 2024 · Chat with Stable Diffusion PromptOptimizer - 上島松子 | PromptOptimizer is a powerful tool that helps transform poor drawing prompts into excellent ones, using Traditional Chinese. Commence with clear objectives for the image, and then drill down with precision during each iteration. (b) SDXL (with POAC): input the prompt optimized by POAC to SDXL. 1, Hugging Face) at 768x768 resolution, based on SD2. Programmatically set torch_generator. Not a command line option, but an optimization implicitly enabled by using --medvram or --lowvram . PromptPerfect offers a customizable approach to prompt optimization, allowing you to set specific goals, such as faster optimization, shorter prompts, and more. Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. Keep in my LoRAs trained from Stable Diffusion 1. 2- just generate a random 20 class images (sometimes you get very odd result like 20 person in a single image or distorted images that doesn't even show a person). Measure Effectiveness. During the prompt optimization process, we use a generic learning rate of 0. Use it with the stablediffusion repository: download the 768-v-ema. AI Images Prompt Optimizer. Moreover, reinforcement learning further boosts performance, especially on out-of-domain prompts. Dec 19, 2022 · Experimental results on Stable Diffusion show that our method outperforms manual prompt engineering in terms of both automatic metrics and human preference ratings. Unlock prompt optimization for models like GPT-4, ChatGPT and Midjourney. " After installation, go to the ' Installed ' tab and click " Apply and restart UI " to restart the user interface (UI). Whether you’re a researcher, developer, or just someone who loves to create you can let your creativity run wild and design prompts that suit your style. This tool crafts precise, artistic prompts for DALL-E, Midjourney, and Stable Diffusion, enhancing creativity with tailored background, lighting, and perspective choices, inviting users into a world of customized visual storytelling. Chatgpt Prompt Optimizer. . ipynb, and then follow the instructions on the page to set up the Notebook environment. from_pretrained(+ torch_dtype=torch. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom . All images were autotagged and cleaned up. Use placeholders, drop-down menus, and more to customize your prompts in real-time. The only other thing that you may want to change here is the instance_data_dir. A stable diffusion prompt is a set of keywords and phrases that describes an image. As such, the GPT provides a way for users to create Dec 2, 2023 · Only before 1. The aims of Prompt Optimizer for Abstract Concepts (POAC) is to automatically enrich abstract concepts with their corresponding concrete objects and feed optimized prompts into a difusion model to generate aesthetic and faithful images. DeepFloyd IF For example, text encoders can hardly express "peace", while can easily illustrate olive branches and white doves. to get started. This globally fixes the seed. Once we have launched the Notebook, let's make sure we are using sd_dreambooth_gradient. 4- use the same instace images. If you're stuck on a prompt, it should help you improve your prompts' results. Its something I made and use it all the time to tweak my zero shot prompts when building my API calls. And after go back to step 2 , find an other image, with an other prompts and try again. English. ckpt) with an additional 55k steps on the same dataset (with punsafe=0. 2023, with the aim to exhibit some of the latest artificial intelligence (Ai) capabilities and limitations, while providing resources and inspiration to the Ai community. (Iteration) Use GPT to optimize prompts in an interactive way. They have to be Welcome to GENIEA! The version of the prompt optimizer you are currently using is designed specifically for midjourney prompt optimization. , 2023). Also experimenting with Lion optimizer - so far it seems to converge in awesome ways using fewer steps. This set of keywords is used as input for image synthesis algorithms to generate high-quality, realistic-looking images. To explore how we can optimize SDXL for inference speed and memory use, we ran some tests on an A100 GPU (40 GB). Test my script is great for smaller prompts, but when you reach a certain amount of tokens it takes way too much to test for all. While searching for a prompt optimizer, I came across a PromptPerfect. Feb 9, 2023 · You signed in with another tab or window. 1 and run 3000 3000 3000 optimization steps using the AdamW optimizer (Loshchilov & Hutter, 2017). ← Load community pipelines and components Model files and layouts →. 500. cinematic lighting. Generate multiple prompts quickly. I'm curious to see what AI image generation will be able to do in a few years. This script has been tested with the following: CompVis/stable-diffusion-v1-4; runwayml/stable-diffusion-v1-5 (default) sayakpaul/sd-model-finetuned-lora-t4 Feb 3, 2023 · Using Half-precision. The users can provide topics, themes, ideas, or MagicPrompt-Stable-Diffusion. 2. Model: Stable Diffusion 1. May 16, 2024 · Creating a DreamBooth Model: In the DreamBooth interface, navigate to the "Model" section and select the "Create" tab. We also construct a dataset containing pairs of abstract concepts and their corresponding concrete objects. Use it with 🧨 diffusers. (a) SDXL: only input the original prompt. This approach maximizes ChatGPT's effectiveness, ensuring captivating and accurate outputs Dec 13, 2023 · Writing prompts for Stable Diffusion: tools and optimization. It achieves quality on par with full fine-tuned models while being much faster and requiring less compute. Discover the power of this prompt optimizer, designed to transform user inputs into comprehensive, clear, and targeted responses from ChatGPT. The first and only prompt optimizer that can automatically optimize your prompt for any Al model. 5 model is the official v1 model. Prompts #91 most recent. You can also type in a specific seed number into this field. We assume that you have a high-level understanding of the Stable Diffusion model. Get Started. A list of available extensions will appear. art prompts text optimization generator Free + from $16. , ~/stable-diffusion; Put your downloaded model. Jan 3, 2024 · Stable Diffusion PromptOptimizer - 上島松子. Jul 26, 2023 · Stable Diffusion provides a few different ways we can set the magic seed value: Pass a --seed argument when launching SD. You can set a value between 0. This sets the seed for that specific generation. The same goes for SD 2. The following resources can be helpful if you're looking for more information in Quickstart. The primary function of the Stable Diffusion Prompter is to craft precise results based on user input. One of the simplest methods to reduce memory consumption and speed up the inference is to load and run the model weights directly in half-precision: pipeline = StableDiffusionPipeline. The inference times below are obtained from generating 4 images from the prompt “a photo of an astronaut riding a horse on mars” with 25 PNDM steps on a NVIDIA A100. Create detailed prompts for Stable Diffusion with a free and easy-to-use prompt generator that helps you find inspiration and generate stunning images. 4 it appears related to a prompt template that just as [filewords] in it. 5 batch size, saving a lot of memory. The examples in it are just to help ChatGPT understand, got some real good results using it on human portraits and whatnot. Use GPT-3 or other language models to test initial prompts. Ferris Wheel Optimization Strategy. Setting a value higher than that can change the output image drastically so it’s a wise choice to stay between these values. Resumed for another 140k steps on 768x768 images. Its main functionality revolves around generating optimal prompts for images. Each generation is repeated 3 times with the distilled Stable Diffusion v1. 5 pruned EMA. Use the train_dreambooth_lora_sdxl. This is a relative path to the folder that has the training images you want to use. white hair. These settings have produced decent results for me. 🚀 Dive into the power of GPT-4 with the recently upgraded Prompt Optimizer: 🎯 Sculpt precise, context-rich prompts 💡 Generate practical, insightful outputs 🔥 Unleash GPT-4's potential to the fullest 🏁 Gain a competitive edge in AI communications Embrace the evolution of AI prompts today! The Best Stable Diffusion Prompts + Prompt Optmizer For example, text encoders can hardly express "peace", while can easily illustrate olive branches and white doves. What is Stable Diffusion & Why It’s So Hard to Create Prompts Steps to Generate Stable Diffusion Prompts Using ChatGPT Step 1: Accessing the ChatGPT Platform Step 2: Crafting a Thorough Prompt Request Step 3: Evaluating ChatGPT’s Output Step 4: Adjusting Prompts for Different Scenarios Step 5: Requesting Additional Similar Prompts May 12, 2023 · This is why some UIs that work on top of Stable Diffusion try to simplify this by making it a lot easier for users to write their prompts, and then run lots of optimizations behind the curtain. The SDXL training script is discussed in more detail in the SDXL training guide. This tool crafts precise, artistic prompts for DALL-E, Midjourney, and Stable Feb 12, 2024 · Here is our list of the best portrait prompts for Stable Diffusion: S. Stable Diffusion 3 combines a diffusion transformer architecture and flow matching. Mar 24, 2024 · Contents. SG161222/Realistic_Vision_V2. This stable-diffusion-2 model is resumed from stable-diffusion-2-base ( 512-base-ema. For stable diffusion models, it is recommended to use version 1. We evaluate our method using both the automatic reward metric and human preference ratings. Optimized Work Location and Commute App. ai (Fresh Ai Opinions) is a website launched in Feb. You can also use docker compose run to execute other Python scripts. In order to get started, we recommend taking a look at our notebooks: prompt-to-prompt_ldm and prompt-to-prompt_stable. x models. The green recycle button will populate the field with the seed number used in Click on the image to get full prompt and parameters. This approach aims to align with our core values and democratize access, providing users with a variety of options for scalability and quality to best meet their creative needs. (Web UI) Provide a Web UI for better interaction. txt which accomplishes the same thing: writing a prompt with the embedding word and it's associated tokens in the txt. urushisato can be used to add extra emphasis. Instead, I removed the embedding term and selected subject_filewords. Start with a rough draft of your prompts and refine them through multiple iterations. And even the prompt is better followed. Dec 16, 2023 · Thankfully by fine-tuning the base Stable Diffusion model using captioned images, the ability of the base model to generate better-looking pictures based on her style is greatly improved. Take a look at these notebooks to learn how to use the different types of prompt Sep 30, 2023 · 正式名称は「Stable Diffusion Dynamic Prompts extension」 プロンプトをランダムに組み合わせられるweb UI用の拡張機能です。 この拡張機能を使えば、自動でプロンプトを生成してくれたり、予め指定したプロンプトをランダムに組み合わせて画像を生成することが Explore 130,000+ curated AI prompts made by expert AI creators. We build on top of the fine-tuning script provided by Hugging Face here. 1-768. Feb 20, 2023 · The following code shows how to fine-tune a Stable Diffusion 2. Use GPT to generate prompts based on initial user input. Seek feedback from peers. AI Prompt Optimizer. You signed out in another tab or window. This comprehensive prompt generator is customized specifically for the AI art generators "Stable Diffusion" and "Midjourney". New stable diffusion finetune ( Stable unCLIP 2. We conduct experiments with the publicly available Stable Diffusion models [Rombach et al. Mine will be called gollum. Switch between documentation themes. Project Link: SDPromptGenerator. Offset noise training at 0. Search for "Image Browser" and click on "Install. Stable Diffusion. Choose a descriptive "Name" for your model and select the source checkpoint. Photo of a man with a mustache and a suit, plain background, portrait style. DeepFloyd IF Apr 17, 2024 · This paper introduces a novel approach named Prompt Optimizer for Abstract Concepts (POAC) specifically designed to enhance the performance of text-to-image diffusion models in interpreting and generating images from abstract concepts. Elsa, Back To Top For example, text encoders can hardly express "peace", while can easily illustrate olive branches and white doves. x and SDXL LoRAs. These three systems are immensely relevant in the creation of digital images, and the GPT blends them effectively to create prompts. Stable Diffusion & more [Paper Release] Dec, 2022: Optimizing Prompts for Text-to-Image Generation; Language models serve as a prompt interface that optimizes user input into model-preferred prompts. py --help for additional options. ckpt) and trained for 150k steps using a v-objective on the same dataset. 5. Most popular alternative: What-A-Prompt (499 saves) View all 100 alternatives Recommendations. 5/4, DALL-E 2, Stable Diffusion, and MidJourney. Image below was generated on a fine-tuned Stable Diffusion 1. The notebooks contain end-to-end examples of usage of prompt-to-prompt on top of Latent Diffusion and Stable Diffusion respectively. Giving users better results with less effort from them. Mastering Stable Diffusion requires a strategic approach to prompt engineering. Generated by ChatGPT. (c) Generate the image with the fine-tuned SDXL with ReFL and optimized prompt. Set seed: in your prompt or via the UI. Mar 13, 2024 · Here's how to create your own stable diffusion prompt generator: Use Text Blaze to automatically generate prompts anywhere. Not Found. Load schedulers and models. v15 adds ova to all animation frames & background to all images without obvious human subjects. seed() before image generation. ,2022]. 3. 6. For Stable Diffusion-v2, we set the guidance scale to 9 9 9 and the number of inference steps to 25 25 25. The dice button to the right of the Seed field will reset it to -1. It does this based on DALL-E 3, Midjourney, and Stable Diffusion. runwayml/stable-diffusion-v1-5. PromptOptimizer is a powerful tool that helps transform poor drawing prompts into excellent ones, using Traditional Chinese. Apr 17, 2024 · Figure 1: Examples of image generation with or without prompt optimizer. World’s Largest Optimized Prompt Library. These prompt are detailed, specific, and usually include attributes like -. beautiful and delicate water. Used SD1. This paper introduces a novel approach named Prompt Optimizer for Abstract Concepts (POAC) specifically designed to enhance the performance of text-to-image diffusion models in interpreting and generating images from abstract concepts. For a full list of model_id values and which models are fine-tunable, refer to Built-in Algorithms with pre-trained Model Table . Get the optimized prompt in 10 seconds or less. 4 model by Nota AI. Produce better outputs, save on time & API costs, sell your own prompts. Mar 15, 2023 · This prompt snippet guides Stable Diffusion to know how to use this new data when generating new images. disheveled hair. 1 base model identified by model_id model-txt2img-stabilityai-stable-diffusion-v2-1-base on a custom training dataset. Enable Python Back-end with Streaming POAC is composed of two parts: 1) Prompt Language Model (PLM) is built based on a pre-trained language model (GPT2) (Radford et al. 98. floating. Run python stable_diffusion. May 16, 2024 · To install the Image Browser extension, navigate to the extension tab, select ' Available ' and click on the " Load from: " button. pleated skirt. 5B parameters (the UNet, in particular), which is approximately 3x larger than the previous Stable Diffusion model. x models will only be usable with models trained from Stable Diffusion 1. 1- generate more than 20 then select 20 of those images. I preprocessed all images with a associated txt file and put the embedding term in it. Optimized Employees with Multiple Tools. The Prompt Optimizer is a tool/prompt that analyses and enhances user-submitted prompts for accurate responses from GPT-3 models. Your LoRA will be heavily influenced by the base model, so you should use one that produces the style of images that you would like to May 19, 2023 · Plan & Progress. The Stable-Diffusion-v1-4 checkpoint was initialized with the weights of the Stable-Diffusion-v1-2 checkpoint and subsequently fine-tuned on 225k steps at resolution 512x512 on "laion-aesthetics v2 5+" and 10% dropping of the text-conditioning to improve classifier-free guidance sampling. Online. Figure 1 presents the overview of our framework. Stable UnCLIP 2. Would still add your own preset negative prompts in a addition to what it creates. Boost your ChatGPT prompts with Prompt Booster! 💪 Our easy-to-use prompt booster applies best practices for clarity, specificity, open-endedness, tone, and more to ensure maximum effectiveness. yml) cd into ~/stable-diffusion and execute docker compose up --build; This will launch gradio on port 7860 with txt2img. Oct 26, 2023 · The AI Images Prompt Optimizer is a GPT built atop ChatGPT. admruul/anything-v3. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Witchcore. I am realizing that adding offset noise - esp over 0. May 27, 2024 · The Stable Diffusion v1. Stable Diffusion & more Wild West. 0. 5 model. Inside your subject folder, create yet another subfolder and call it output. DreamBooth is a method to personalize text-to-image models like Stable Diffusion given just a few (3-5) images of a subject. Run the install cell at the top first to get the necessary packages. Running App Files Files Community 33 Refreshing Clone this repo to, e. 5/4, DALL-E 2, Stable Diffusion and MidJourney. float16) The final code should be as follows: Oct 24, 2023 · The base SDXL model has 3. Simply provide a design keyword, the AI will produce a SEO-friendly title, relevant tags, and an engaging, keyword-rich description within Redbubble's 150 character limit. After purchasing, you will gain access to the prompt file Feb 24, 2024 · In Automatic111 WebUI for Stable Diffusion, go to Settings > Optimization and set a value for Token Merging. Jan 2, 2024 · Recap: LoRA (Low-Rank Adaptation) is a fine-tuning technique for Stable Diffusion models that makes slight adjustments to the crucial cross-attention layers where images and prompts intersect. Optimize your prompt for ChatGPT, GPT-3/3. An example of a stable diffusion prompt is "a pink rose on a Prompt examples : Prompt: cartoon character of a person with a hoodie , in style of cytus and deemo, ork, gold chains, realistic anime cat, dripping black goo, lineage revolution style, thug life, cute anthropomorphic bunny, balrog, arknights, aliased, very buff, black and red and yellow paint, painting illustration collage style, character DreamBooth. fashion editorial, a female model with blonde hair, wearing a colorful dress. Anything v3 is good for training anime-style images. 5 as the base checkpoint for compatibility (in theory). 4. Stable Diffusion XL (SDXL) is a powerful text-to-image model that generates high-resolution images, and it adds a second text-encoder to its architecture. 2 to 0. It claims to help optimize prompts for Stable diffusion and DALL-E (haven’t tried DALL-E yet) to get better results. 78k. Mar 14, 2023 · The default setting for Seed is -1, which means that Stable Diffusion will pull a random seed number to generate images off of your prompt. g. - "Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding" Optimize Business Processes with Bitrix24. Experimental results show that the optimized prompts outperform human-engineered ones and the original inputs. We propose a Prompt Language Model (PLM), which is initialized from a pre-trained language model, and then Feb 5, 2024 · Optimizing Outcome with Stable Diffusion: A Step-by-Step Guide to Image Iteration. Open main menu. Wormhole. Sign Up. In the hypernetworks folder, create another folder for you subject and name it accordingly. Realistic Vision v2 is good for training photo-style images. It allows the model to generate contextualized images of the subject in different scenes, poses, and views. Wind. Sep 13, 2023 · This is for selecting the base model. Stable Diffusion XL. Use it with the stablediffusion repository: download the v2-1_768-ema-pruned. Generate image with DALL-E with the prompt provided by GPT. (22,151 prompts…and counting – as of June 6, 2024) Freshly. Learn a language model for automatic prompt optimization via reinforcement learning. However, I am a bit hesitant to pay for another tool when Stable diffusion is already pretty resource intensive on my machine. kohya SS gui optimal parameters - Kohya DyLoRA , Kohya LoCon , LyCORIS/LoCon , LyCORIS/LoHa , Standard Question | Help Jul 15, 2023 · I find Stable Diffusion to be a spectacular piece of software, which I have found very useful for generating backgrounds and characters for my favorite RPGs (for campaigns with my friends). Neural networks and text2image models are becoming a common tool for work and art, and many specialists want to try them in action ChatGPT Prompt 'Enhancer' script. Method to improve your prompts. Lora weight can depend on model used, it Apr 19, 2023 · Create professional prompts for Stable Diffusion with ease and without registration! Our prompt builder provides you with the perfect blueprint for generating high quality prompts. Specifically, this tool is calibrated for Stable Diffusion, an AI system known for its capabilities in image generation tasks. Load More. By applying advanced prompt engineering principles, we redefine ordinary prompts for precision, context, and relevance, turning them into high-caliber prompts. Whether you change this directory or not, now is the time to upload the Explore 130,000+ curated AI prompts made by expert AI creators. 3 - really messes up the training. Create beautiful art using stable diffusion ONLINE for free. Now you can use it for free to augment your prompting workflow The Prompt Optimizer. Analyze prompt effectiveness through simulations. Usually just copy an elaborate prompt which I liked the result of, then build upon that by adding different subjects, conditions, styles etc. Trained on Satoshi Urushihara artwork and OVA stills. Welcome to the Stable Diffusion and Midjourney Prompt Generator project. You can find other models on Hugging Face using this link or this link. breeze. , 2019) and 2) Stable Diffusion XL (SDXL), which is a large-scale diffusion model (Podell et al. Wonderland. Refine Through Iteration. py script to train a SDXL model with LoRA. faster optimization, shorter prompt, and more. Currently available for midjourney prompt optimization. No. 67/mo. In your stable-diffusion-webui folder, create a sub-folder called hypernetworks. You switched accounts on another tab or window. With our industry-leading marketing expertise, we optimize prompts by enhancing accuracy, removing detrimental elements, and strengthening positive features. You can start a conversation here or try the following examples: Not Sure? Try this! An AI-powered web app for prompt engineering and optimization. 1 ), and then fine-tuned for another 155k extra steps with punsafe=0. Generate optimized prompts for Stable Diffusion with our easy-to-use prompt generator. ing. The Stable Diffusion prompts search engine. There are several challenges in devel-oping the safe optimizer: (1) the optimizer should be universal and not require access to the param-eters of T2I models; (2) a corresponding unsafe- 3 METHODOLOGY. Decreases performance. Nov 3, 2022 · Step 1: Setup. 5 LoRA type: Standard Instance prompt: [any unique name will do] With this prompt, Chatgpt will automatically generate optimized titles, tags, and descriptions for your designs. For each inference run, we generate 4 images and repeat it 3 times. Feb 22, 2024 · The Stable Diffusion 3 suite of models currently ranges from 800M to 8B parameters. How PromptPerfect Enhances DALL-E 3 and Stable Diffusion XL. 1 0. rt oa lq qa dl os rp hp po uk