Best AI tools for< Design Prompts >

AvatarStudio is an AI tool that allows users to generate custom AI avatars by uploading selfies with different angles. The tool then builds a studio based on the uploaded photos and assists users in crafting the perfect prompt to generate unique avatars. AvatarStudio offers a cost-effective solution for creating custom AI avatars, providing 50 shots for $10 with a custom trained model and 4K generation capabilities. Users can unleash their creativity and design avatars that perfectly capture their unique style.

Room Reinvented is an AI-powered interior design tool that allows users to transform their living spaces with ease. With features like Restyle Your Room, Virtual Staging, Sketch, Object Removal Tool, AI-Generated Style Rooms, and Custom Prompts, Room Reinvented empowers users to visualize their dream space before making any real-life changes. The tool offers a wide range of interior design styles, color palettes, and furniture options to choose from, making it perfect for homeowners, renters, real estate agents, property managers, home sellers, artists, design students, and anyone looking to enhance their living space.

ModaMind is an AI platform designed specifically for fashion designers, offering an innovative fashion design assistant powered by advanced AI algorithms. The platform enables designers to create unique fashion designs tailored to their style, providing endless design ideas from prompts or images. By automating the design ideation process and incorporating the latest trends, ModaMind helps designers accelerate time to market, keep up with recent trends, and meet customer needs. With features like style personalization, AI intelligent garment design, custom visual studio, and the ability to train your own AI model, ModaMind empowers designers to create and innovate with ease.

IntelliBar is an AI-powered assistant for Mac that allows users to ask questions, perform tasks, and edit text from anywhere on their Mac. It is optimized for keyboard use and supports GPT-4, DALL-E, TTS, and Whispers models. IntelliBar is secure by design and sends prompts directly to the OpenAI API.

PROMPT is an AI-powered tool designed to assist users in creating prompts with the help of experts. The platform offers a user-friendly interface where users can easily generate prompts for various purposes, such as writing assignments, brainstorming sessions, or creative projects. By leveraging artificial intelligence technology, PROMPT provides personalized suggestions and guidance to enhance the prompt creation process, making it efficient and effective.

Promptogy is a user-friendly prompt builder for AI art tools like Midjourney and Stable Diffusion. It offers a wide selection of styles and features to help users create unique and visually appealing AI-generated images. The platform is designed to be intuitive and easy to use, making it accessible to users of all skill levels.

Imaginebuddy is an AI-powered platform that provides users with access to a vast library of high-quality stock images and image prompts. The platform's advanced AI algorithms generate unique and visually appealing images based on user-provided prompts, making it an ideal tool for a wide range of creative projects. With its intuitive interface and extensive collection of images, Imaginebuddy empowers users to unleash their creativity and bring their visions to life.

Public Prompts is a website that provides free, high-quality prompts for Stable Diffusion, an AI-powered image generation model. The website also offers a library of fine-tuned models and embeddings, which can be used to customize the output of Stable Diffusion. Public Prompts is a valuable resource for anyone who wants to use Stable Diffusion to create unique and interesting images.

This website provides a collection of prompts for the Stable Diffusion AI image generation model. Users can search for prompts by model, text, and tags. The website also includes articles and news about Stable Diffusion and other AI-related topics.

Dora is an AI-powered platform that enables users to create 3D animated websites without the need for coding. It caters to designers, freelancers, and creative professionals who seek to design visually captivating websites effortlessly. With Dora, users can craft mesmerizing 3D and animated visuals that are responsive and seamlessly translate across devices. The platform is designed for professionals who prioritize design aesthetics and offers a no-code experience for those transitioning from other design tools. Dora leverages advanced AI algorithms to generate, customize, and deploy stunning landing pages, revolutionizing the web design process.

Musho is an AI-powered design assistant that helps users create beautiful and professional websites, landing pages, and social media posts with just a few simple prompts. It is designed to be easy to use, even for those with no design experience, and it can save users a significant amount of time and effort. Musho is available as a plugin for Figma, a popular design tool, and it can also be used as a standalone web application.

The website features a variety of AI tools and applications, including GPTs, AI tutors, code assistants, diagram creators, and more. Users can explore and discover top GPTs, get assistance in programming, design, finance, and even fortune-telling. The platform offers a range of AI-powered solutions for different tasks and industries, aiming to enhance productivity and creativity through advanced AI technologies.

Dora is a no-code 3D animated website design platform that allows users to create stunning 3D and animated visuals without writing a single line of code. With Dora, designers, freelancers, and creative professionals can focus on what they do best: designing. The platform is tailored for professionals who prioritize design aesthetics without wanting to dive deep into the backend. Dora offers a variety of features, including a drag-and-connect constraint layout system, advanced animation capabilities, and pixel-perfect usability. With Dora, users can create responsive 3D and animated websites that translate seamlessly across devices.

TypeflowAI is a platform that allows users to create AI tools without coding in minutes. Users can easily build, share, and embed AI tools into their websites to enhance SEO, increase traffic, and generate more leads. The platform offers features such as creating dynamic lead magnets, AI quizzes, calculators, and more, along with customization options to fit users' branding. With flexible pricing plans and integrations with popular apps, TypeflowAI simplifies the process of creating AI tools and lead magnets for businesses and individuals.

PromptPoint Playground is an AI tool designed to help users design, test, and deploy prompts quickly and efficiently. It enables teams to create high-quality LLM outputs through automatic testing and evaluation. The platform allows users to make non-deterministic prompts predictable, organize prompt configurations, run automated tests, and monitor usage. With a focus on collaboration and accessibility, PromptPoint Playground empowers both technical and non-technical users to leverage the power of large language models for prompt engineering.

Fusion is a powerful AI-powered tool that helps you generate unique and engaging content. With Fusion, you can quickly and easily create high-quality text, images, and videos that will help you stand out from the crowd.

Dalle-2 Image Generator is a tool that allows users to create images from text prompts. It is powered by artificial intelligence and can generate realistic and creative images. The tool is easy to use and can be used to create images for a variety of purposes, such as art, design, and marketing.

Dzine (formerly Stylar.ai) is a powerful AI image generation and design tool that provides users with unparalleled control over image composition and style. It offers predefined styles for effortless design customization, layering, positioning, and sketching tools for intuitive design, and an 'Enhance' feature to address common challenges with AI-generated images. With a user-friendly interface suitable for all skill levels, Dzine makes it easy to create stunning and stylish images. It supports high-resolution exports and provides free credits for new users to try out its features.

Midjourney is a free online AI image generator that allows users to create high-quality images from simple text prompts. It is powered by advanced machine learning algorithms that can understand the meaning of words and convert them into realistic and visually appealing images. Midjourney is easy to use and does not require any special hardware or software. Users simply need to enter a text description of the image they want to generate and Midjourney will create it in a matter of seconds.

Illustroke is an AI-powered tool that allows users to create vector illustrations from text prompts. With Illustroke, you can simply type in a description of what you want to illustrate, and the AI will generate a high-quality vector image based on your input. Illustroke is perfect for designers, marketers, and anyone else who needs to create custom illustrations quickly and easily.

Contoso Chat is a Python sample demonstrating how to build, evaluate, and deploy a retail copilot application with Azure AI Studio using Promptflow with Prompty assets. The sample implements a Retrieval Augmented Generation approach to answer customer queries based on the company's product catalog and customer purchase history. It utilizes Azure AI Search, Azure Cosmos DB, Azure OpenAI, text-embeddings-ada-002, and GPT models for vectorizing user queries, AI-assisted evaluation, and generating chat responses. By exploring this sample, users can learn to build a retail copilot application, define prompts using Prompty, design, run & evaluate a copilot using Promptflow, provision and deploy the solution to Azure using the Azure Developer CLI, and understand Responsible AI practices for evaluation and content safety.

ChatWeb is a tool that can crawl web pages, extract text from PDF, DOCX, TXT files, and generate an embedded summary. It can answer questions based on text content using chatAPI and embeddingAPI based on GPT3.5. The tool calculates similarity scores between text vectors to generate summaries, performs nearest neighbor searches, and designs prompts to answer user questions. It aims to extract relevant content from text and provide accurate search results based on keywords. ChatWeb supports various modes, languages, and settings, including temperature control and PostgreSQL integration.

LLMstudio by TensorOps is a platform that offers prompt engineering tools for accessing models from providers like OpenAI, VertexAI, and Bedrock. It provides features such as Python Client Gateway, Prompt Editing UI, History Management, and Context Limit Adaptability. Users can track past runs, log costs and latency, and export history to CSV. The tool also supports automatic switching to larger-context models when needed. Coming soon features include side-by-side comparison of LLMs, automated testing, API key administration, project organization, and resilience against rate limits. LLMstudio aims to streamline prompt engineering, provide execution history tracking, and enable effortless data export, offering an evolving environment for teams to experiment with advanced language models.

This repository contains a vulnerability mining engine based on GPT technology. The engine is designed to identify logic vulnerabilities in code by utilizing task-driven prompts. It does not require prior knowledge or fine-tuning and focuses on prompt design rather than model design. The tool is effective in real-world projects and should not be used for academic vulnerability testing. It supports scanning projects in various languages, with current support for Solidity. The engine is configured through prompts and environment settings, enabling users to scan for vulnerabilities in their codebase. Future updates aim to optimize code structure, add more language support, and enhance usability through command line mode. The tool has received a significant audit bounty of $50,000+ as of May 2024.

This is a vulnerability mining engine purely based on GPT, requiring no prior knowledge base, no fine-tuning, yet its effectiveness can overwhelmingly surpass most of the current related research. The core idea revolves around being task-driven, not question-driven, driven by prompts, not by code, and focused on prompt design, not model design. The essence is encapsulated in one word: deception. It is a type of code understanding logic vulnerability mining that fully stimulates the capabilities of GPT, suitable for real actual projects.

Hyper-Pretrained Transformers (HPT) is a novel multimodal LLM framework from HyperGAI, trained for vision-language models capable of understanding both textual and visual inputs. The repository contains the open-source implementation of inference code to reproduce the evaluation results of HPT Air on different benchmarks. HPT has achieved competitive results with state-of-the-art models on various multimodal LLM benchmarks. It offers models like HPT 1.5 Air and HPT 1.0 Air, providing efficient solutions for vision-and-language tasks.

A curated list of Generative AI projects, tools, artworks, and models

ROSGPT_Vision is a new robotic framework designed to command robots using only two prompts: a Visual Prompt for visual semantic features and an LLM Prompt to regulate robotic reactions. It is based on the Prompting Robotic Modalities (PRM) design pattern and is used to develop CarMate, a robotic application for monitoring driver distractions and providing real-time vocal notifications. The framework leverages state-of-the-art language models to facilitate advanced reasoning about image data and offers a unified platform for robots to perceive, interpret, and interact with visual data through natural language. LangChain is used for easy customization of prompts, and the implementation includes the CarMate application for driver monitoring and assistance.

AgentKit is a framework for constructing complex human thought processes from simple natural language prompts. It offers a unified way to represent and execute these processes as graphs, making it easy to design and tune agents without any programming experience. AgentKit can be used for a variety of tasks, including generating text, answering questions, and making decisions.

Lego AI Parser is an open-source application that uses OpenAI to parse visible text of HTML elements. It is built on top of FastAPI, ready to set up as a server, and make calls from any language. It supports preset parsers for Google Local Results, Amazon Listings, Etsy Listings, Wayfair Listings, BestBuy Listings, Costco Listings, Macy's Listings, and Nordstrom Listings. Users can also design custom parsers by providing prompts, examples, and details about the OpenAI model under the classifier key.

Smartcat is a CLI interface that brings language models into the Unix ecosystem, allowing power users to leverage the capabilities of LLMs in their daily workflows. It features a minimalist design, seamless integration with terminal and editor workflows, and customizable prompts for specific tasks. Smartcat currently supports OpenAI, Mistral AI, and Anthropic APIs, providing access to a range of language models. With its ability to manipulate file and text streams, integrate with editors, and offer configurable settings, Smartcat empowers users to automate tasks, enhance code quality, and explore creative possibilities.

OpenShield is a firewall designed for AI models to protect against various attacks such as prompt injection, insecure output handling, training data poisoning, model denial of service, supply chain vulnerabilities, sensitive information disclosure, insecure plugin design, excessive agency granting, overreliance, and model theft. It provides rate limiting, content filtering, and keyword filtering for AI models. The tool acts as a transparent proxy between AI models and clients, allowing users to set custom rate limits for OpenAI endpoints and perform tokenizer calculations for OpenAI models. OpenShield also supports Python and LLM based rules, with upcoming features including rate limiting per user and model, prompts manager, content filtering, keyword filtering based on LLM/Vector models, OpenMeter integration, and VectorDB integration. The tool requires an OpenAI API key, Postgres, and Redis for operation.

This repository contains code and results for jailbreaking leading safety-aligned LLMs with simple adaptive attacks. We show that even the most recent safety-aligned LLMs are not robust to simple adaptive jailbreaking attacks. We demonstrate how to successfully leverage access to logprobs for jailbreaking: we initially design an adversarial prompt template (sometimes adapted to the target LLM), and then we apply random search on a suffix to maximize the target logprob (e.g., of the token ``Sure''), potentially with multiple restarts. In this way, we achieve nearly 100% attack success rate---according to GPT-4 as a judge---on GPT-3.5/4, Llama-2-Chat-7B/13B/70B, Gemma-7B, and R2D2 from HarmBench that was adversarially trained against the GCG attack. We also show how to jailbreak all Claude models---that do not expose logprobs---via either a transfer or prefilling attack with 100% success rate. In addition, we show how to use random search on a restricted set of tokens for finding trojan strings in poisoned models---a task that shares many similarities with jailbreaking---which is the algorithm that brought us the first place in the SaTML'24 Trojan Detection Competition. The common theme behind these attacks is that adaptivity is crucial: different models are vulnerable to different prompting templates (e.g., R2D2 is very sensitive to in-context learning prompts), some models have unique vulnerabilities based on their APIs (e.g., prefilling for Claude), and in some settings it is crucial to restrict the token search space based on prior knowledge (e.g., for trojan detection).

tinyllm is a lightweight framework designed for developing, debugging, and monitoring LLM and Agent powered applications at scale. It aims to simplify code while enabling users to create complex agents or LLM workflows in production. The core classes, Function and FunctionStream, standardize and control LLM, ToolStore, and relevant calls for scalable production use. It offers structured handling of function execution, including input/output validation, error handling, evaluation, and more, all while maintaining code readability. Users can create chains with prompts, LLM models, and evaluators in a single file without the need for extensive class definitions or spaghetti code. Additionally, tinyllm integrates with various libraries like Langfuse and provides tools for prompt engineering, observability, logging, and finite state machine design.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

EdgeChains is an open-source chain-of-thought engineering framework tailored for Large Language Models (LLMs)- like OpenAI GPT, LLama2, Falcon, etc. - With a focus on enterprise-grade deployability and scalability. EdgeChains is specifically designed to **orchestrate** such applications. At EdgeChains, we take a unique approach to Generative AI - we think Generative AI is a deployment and configuration management challenge rather than a UI and library design pattern challenge. We build on top of a tech that has solved this problem in a different domain - Kubernetes Config Management - and bring that to Generative AI. Edgechains is built on top of jsonnet, originally built by Google based on their experience managing a vast amount of configuration code in the Borg infrastructure.

Code2Prompt is a powerful command-line tool that generates comprehensive prompts from codebases, designed to streamline interactions between developers and Large Language Models (LLMs) for code analysis, documentation, and improvement tasks. It bridges the gap between codebases and LLMs by converting projects into AI-friendly prompts, enabling users to leverage AI for various software development tasks. The tool offers features like holistic codebase representation, intelligent source tree generation, customizable prompt templates, smart token management, Gitignore integration, flexible file handling, clipboard-ready output, multiple output options, and enhanced code readability.

I create detailed random UI design practice prompts.

✨Crafts multiple detailed MJourney prompts 🖼️ on latest version with 16:9 image format

Creates precise, concise prompts for traditional-style images

Converts prompts into HTML and React code using Shadcn UI.

Enhanced prompts for DALLE crafting sets of 3 improved images in various styles using special commands and frameworks. All infos ---> http://iga.eklablog.com/

Converts images into Midjourney prompts

Transforms lines into detailed prompts for visual storytelling.

Generate image prompts based on textual or visual input. Optimized for Midjourney v6.

Artistic assistant for creating detailed Stable Diffusion prompts.

Creates AI Prompts for Anime Style AI Images

Crafts concise, imaginative art prompts in a single sentence

Expert in Tailored Image Prompts

Generate 3D character prompts with Midjourney style

Direct intermediary for user prompts to DALL-E 3.

K12 assessment expert, creating grade-level appropriate essay prompts.

Generates images with PDFs of prompts

Create PowerPoint PPTX presentations with ChatGPT. Use prompts to directly create PowerPoint files. Supports any topic. Download as PPTX or PDF. Presentation GPT is the best GPT to create PowerPoint presentations.

Moved to https://chat.openai.com/g/g-wu8Z1xx4j-futuristic-view. Creates futuristic, tech-themed images from user prompts.

Create minimal art from prompts or images

Draws almost anything you want by modifying your prompts