Best AI tools for< Concept Design >

Censored AI is an AI-powered application that allows users to bring their dream artwork to life with a state-of-the-art generator. It offers a range of styles including anime, comics, realistic designs, and 3D creations. Users can create stunning pieces tailored to their vision for just $2 a month. The application leverages a powerful AI engine to amplify creativity and unlock limitless possibilities. With features like Anime & Comic Styles, Realistic Generations, Toon & T-Shirt Designs, and more, Censored AI provides a platform for users to unleash their imagination and create epic artwork.

Pirate Diffusion is a unique software and community created for individuals seeking the full potential of Stable Diffusion on the go. It offers a range of features, including preloaded models, web app and bots, and a vast collection of prompt ideas. With Pirate Diffusion, users can create unlimited images, utilize LLM bots, upload and edit their own photos, and engage in various image manipulation techniques such as sketch-to-photo, img2img, inpainting, outpainting, and face swapping. Additionally, it provides access to advanced features like ControlNet, IP Adapter, blend, unlimited background remover, 200 steps, HiResFix, samplers, and 4X upscalers. Pirate Diffusion is integrated with Graydient, a cloud computing platform for creating AI spaces, allowing users to access their images across multiple apps and devices.

ImgCreator.AI is an AI-powered image generator that allows users to create images from text prompts. It offers a variety of features, including the ability to generate images in different styles, edit existing images, and create images from scratch. ImgCreator.AI is best suited for creating illustrations, anime, and concept design images.

Creators is a website that offers a service to create pitch decks for startups and growing businesses. They specialize in creating visually stunning and impactful pitch decks that tell the story of the business and capture the attention of investors. They use a data-driven approach to storytelling, incorporating relevant data and analytics to back up the idea and prove its potential to investors. They also use artificial intelligence to identify the most compelling way to present the information, ensuring that the pitch deck is not just informative, but also engaging. Creators has a team of expert designers who excel at transforming complex ideas into clear, understandable visuals that are both stunning and highly effective in communicating the message to potential investors.

Neural Concept is an end-to-end platform for high-performance engineering teams, powered by a leading proprietary 3D AI core. It accelerates product development and innovation with industry-leading 3D deep-learning and simulation capabilities. The platform works with various CAE and CAD softwares, offering 3D visual feedback, collaborative environment, and LLM guidance to boost engineers' impact. Neural Concept is used by engineering companies to design and deliver better products faster, bringing AI-designed products to market up to 75% faster.

Draw3D is an online tool that allows users to transform their sketches into photorealistic images. It is a powerful tool that can be used to create realistic images of anything from landscapes to portraits. Draw3D is easy to use and can be used by anyone, regardless of their artistic ability. Simply upload a sketch and Draw3D will automatically convert it into a photorealistic image.

Story-boards.ai is an AI-driven platform that revolutionizes storyboarding for visual storytellers, including filmmakers, ad creators, and graphic novelists. It empowers users to transform written scripts into dynamic visual storyboards, maintain character consistency, and speed up the pre-production process with AI-enhanced storyboarding. The platform offers tailored storyboards, custom camera angles, character consistency, and a streamlined workflow to elevate narratives and unlock new realms of possibility in visual storytelling.

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.

Vizcom is an AI tool that allows users to transform sketches into renders and 3D models in seconds. It offers features such as sketching, rendering, 3D modeling, custom palettes creation, visual communication, and design iteration. Vizcom provides a seamless design process, from sketch to render to 3D printing, with a focus on security and data protection.

Off/Script is a community-led product creation platform that empowers users to bring their product ideas to life without spending any money. The platform provides users with access to an AI-powered product creation studio, a community of design experts, and a marketplace to sell their products. Off/Script handles all product creation and logistics requirements, so users can focus on what they do best: designing and creating innovative products.

Pixar Persona is a website that allows users to transform themselves into Pixar characters. Users can upload a picture of themselves and the website will generate a Pixar-style character that looks like them. The website is easy to use and the results are impressive. Users can also share their Pixar characters with friends and family.

ImagePrompt.org is an AI-driven platform that empowers users to create unique and personalized images through the use of image prompts. By providing tools and guidance for crafting descriptive prompts, ImagePrompt.org enables users to unleash their creativity and bring their ideas to life through AI-generated artwork. The platform offers a seamless experience for generating stunning visuals and extracting precise image prompts, fueling the creative process and optimizing design efficiency with AI-powered precision.

AI Art Generator is an online platform that leverages state-of-the-art Stable Diffusion technology to quickly turn users' imaginations into amazing artistic creations with just simple text prompts. Users can create unique images by providing text descriptions, and the AI model generates original artworks in seconds. The platform allows anyone to easily create stunning AI-generated artworks without needing artistic skills or training. AI Art Generator aims to provide a seamless and creative experience for users to explore the future of art through advanced technology.

Artifactory is an AI-powered game asset generation tool that helps you create concepts for characters, icons, and backgrounds in seconds. With Artifactory, you can describe your task in text and generate images instantly. You can also use other images as references and train the model according to your style. Artifactory is easy to use and affordable, making it a great option for game developers of all levels.

Meltface Typeface is a book about the future of design in the age of AI agents, spatial computing, and ambient UX. It is written by Casey Fictum, a designer and philosopher who has been thinking about the future of technology for over 20 years. The book is divided into nine chapters, each of which explores a different aspect of the future of design. Chapter 1, "The Dawn of Ambient Intelligence," discusses the rise of AI agents and their potential to change the way we live and work. Chapter 2, "Artificial - This Thing Isn't Human," explores the challenges of designing AI agents that are both useful and ethical. Chapter 3, "Spatial - Around My Reality," discusses the potential of spatial computing to create new and immersive experiences. Chapter 4, "Ambient - There, But Not," explores the concept of ambient UX and how it can be used to create more seamless and intuitive experiences. Chapter 5, "Actioned - Do Things on Our Behalf," discusses the potential of AI agents to automate tasks and help us get things done. Chapter 6, "Philosophy for AI Agent Design," provides a philosophical framework for designing AI agents that are both ethical and effective. Chapter 7, "Frameworks for the Future of Design," provides a set of frameworks for thinking about the future of design. Chapter 8, "Guessing the Future of UX Design," speculates on what the future of UX design might look like. Chapter 9, "Finding Meaning & Purpose in the Future of Design," discusses the challenges and opportunities of designing for a future that is increasingly shaped by AI.

3D AI Studio is an AI-powered platform that allows users to create custom 3D models, animations, and textures in seconds. It is designed to be user-friendly and intuitive, with no requirement to master modeling or prompt crafting. Users can simply input a text prompt or upload an image for reference, and the platform will generate a high-quality 3D model in seconds. 3D AI Studio offers a range of features, including the ability to export models in a variety of formats, generate customized and realistic textures, and access a library of pre-made models. It is a valuable tool for a variety of professionals, including game developers, 3D artists, and designers.

Draph Art is an AI-powered digital art generator that allows users to create unique and realistic images from text prompts. It uses advanced machine learning algorithms to transform words into stunning visuals, making it accessible for anyone to create digital art without any prior artistic skills. With Draph Art, users can explore their creativity, generate ideas, and bring their imagination to life.

Starryai is an AI art generator app that lets you create incredible works of art using Artificial Intelligence. Generate AI art simply by describing what you want to see and our AI transforms your words into art.

Scenario is a web-based application that allows users to train custom AI models to generate game assets. With Scenario, users can create unique and style-consistent game assets in seconds, without the need for any coding or machine learning expertise. Scenario is the ultimate choice for game professionals seeking full control over their AI. It is a fantastic creativity tool that inspires creators, sparks artists' creativity, empowers efficient work, notably shortens time-to-market, accelerates asset ideation, visual iterations, and effectively engages early testers.

AI Image Generator is a free online tool that allows users to create images from text prompts. It uses artificial intelligence to interpret the user's input and generate a corresponding image. The tool offers a variety of styles to choose from, including realistic, anime, and 3D anime. Users can also specify the size and quality of the image they want to generate. AI Image Generator is a powerful tool that can be used for a variety of purposes, such as creating illustrations, concept art, and social media content.

Mo AI Studio is an enterprise-level AI agent running platform that enables the operation of customized intelligent AI agents with system-level capabilities. It supports various IDEs and programming languages, allows modification of multiple files with reasoning, cross-project context modifications, customizable agents, system-level file operations, document writing, question answering, knowledge sharing, and flexible output processors. The platform also offers various setters and a custom component publishing feature. Mo AI Studio is a fusion of artificial intelligence and human creativity, designed to bring unprecedented efficiency and innovation to enterprises.

Thinc is a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow and MXNet. You can use Thinc as an interface layer, a standalone toolkit or a flexible way to develop new models.

FuseMedML is a Python framework designed to accelerate machine learning-based discovery in the medical field by promoting code reuse. It provides a flexible design concept where data is stored in a nested dictionary, allowing easy handling of multi-modality information. The framework includes components for creating custom models, loss functions, metrics, and data processing operators. Additionally, FuseMedML offers 'batteries included' key components such as fuse.data for data processing, fuse.eval for model evaluation, and fuse.dl for reusable deep learning components. It supports PyTorch and PyTorch Lightning libraries and encourages the creation of domain extensions for specific medical domains.

LazyLLM is a low-code development tool for building complex AI applications with multiple agents. It assists developers in building AI applications at a low cost and continuously optimizing their performance. The tool provides a convenient workflow for application development and offers standard processes and tools for various stages of application development. Users can quickly prototype applications with LazyLLM, analyze bad cases with scenario task data, and iteratively optimize key components to enhance the overall application performance. LazyLLM aims to simplify the AI application development process and provide flexibility for both beginners and experts to create high-quality applications.

Stable Diffusion is a text-to-image AI model that can generate realistic images from a given text prompt. It is a powerful tool that can be used for a variety of creative and practical applications, such as generating concept art, creating illustrations, and designing products. Stable Diffusion is also a great tool for learning about AI and machine learning. This repository contains a collection of tutorials and resources on how to use Stable Diffusion.

Woodpecker is a tool designed to correct hallucinations in Multimodal Large Language Models (MLLMs) by introducing a training-free method that picks out and corrects inconsistencies between generated text and image content. It consists of five stages: key concept extraction, question formulation, visual knowledge validation, visual claim generation, and hallucination correction. Woodpecker can be easily integrated with different MLLMs and provides interpretable results by accessing intermediate outputs of the stages. The tool has shown significant improvements in accuracy over baseline models like MiniGPT-4 and mPLUG-Owl.

DuoAttention is a framework designed to optimize long-context large language models (LLMs) by reducing memory and latency during inference without compromising their long-context abilities. It introduces a concept of Retrieval Heads and Streaming Heads to efficiently manage attention across tokens. By applying a full Key and Value (KV) cache to retrieval heads and a lightweight, constant-length KV cache to streaming heads, DuoAttention achieves significant reductions in memory usage and decoding time for LLMs. The framework uses an optimization-based algorithm with synthetic data to accurately identify retrieval heads, enabling efficient inference with minimal accuracy loss compared to full attention. DuoAttention also supports quantization techniques for further memory optimization, allowing for decoding of up to 3.3 million tokens on a single GPU.

The Enterprise Azure OpenAI Hub is a comprehensive repository designed to guide users through the world of Generative AI on the Azure platform. It offers a structured learning experience to accelerate the transition from concept to production in an Enterprise context. The hub empowers users to explore various use cases with Azure services, ensuring security and compliance. It provides real-world examples and playbooks for practical insights into solving complex problems and developing cutting-edge AI solutions. The repository also serves as a library of proven patterns, aligning with industry standards and promoting best practices for secure and compliant AI development.

The DALM (Domain Adapted Language Modeling) toolkit is designed to unify general LLMs with vector stores to ground AI systems in efficient, factual domains. It provides developers with tools to build on top of Arcee's open source Domain Pretrained LLMs, enabling organizations to deeply tailor AI according to their unique intellectual property and worldview. The toolkit contains code for fine-tuning a fully differential Retrieval Augmented Generation (RAG-end2end) architecture, incorporating in-batch negative concept alongside RAG's marginalization for efficiency. It includes training scripts for both retriever and generator models, evaluation scripts, data processing codes, and synthetic data generation code.

ModelBench is a tool for running safety benchmarks against AI models and generating detailed reports. It is part of the MLCommons project and is designed as a proof of concept to aggregate measures, relate them to specific harms, create benchmarks, and produce reports. The tool requires LlamaGuard for evaluating responses and a TogetherAI account for running benchmarks. Users can install ModelBench from GitHub or PyPI, run tests using Poetry, and create benchmarks by providing necessary API keys. The tool generates static HTML pages displaying benchmark scores and allows users to dump raw scores and manage cache for faster runs. ModelBench is aimed at enabling users to test their own models and create tests and benchmarks.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

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 |

Easy Diffusion 3.0 is a user-friendly tool for installing and using Stable Diffusion on your computer. It offers hassle-free installation, clutter-free UI, task queue, intelligent model detection, live preview, image modifiers, multiple prompts file, saving generated images, UI themes, searchable models dropdown, and supports various image generation tasks like 'Text to Image', 'Image to Image', and 'InPainting'. The tool also provides advanced features such as custom models, merge models, custom VAE models, multi-GPU support, auto-updater, developer console, and more. It is designed for both new users and advanced users looking for powerful AI image generation capabilities.

Lhotse is a Python library designed to make speech and audio data preparation flexible and accessible. It aims to attract a wider community to speech processing tasks by providing a Python-centric design and an expressive command-line interface. Lhotse offers standard data preparation recipes, PyTorch Dataset classes for speech tasks, and efficient data preparation for model training with audio cuts. It supports data augmentation, feature extraction, and feature-space cut mixing. The tool extends Kaldi's data preparation recipes with seamless PyTorch integration, human-readable text manifests, and convenient Python classes.

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

LightRAG is a PyTorch library designed for building and optimizing Retriever-Agent-Generator (RAG) pipelines. It follows principles of simplicity, quality, and optimization, offering developers maximum customizability with minimal abstraction. The library includes components for model interaction, output parsing, and structured data generation. LightRAG facilitates tasks like providing explanations and examples for concepts through a question-answering pipeline.

Upload an avatar and indicate the costume concept to design the movie character costume concept and set different angles for reference.

Exhibition concept Design image Generator

プロのセット デザイナーが、映画のリファレンスに基づいてパーソナライズされたデザインを作成します。

Formal design concept recorder, responds with '已记录', and provides brief summaries.

Guided art creation with a focus on character consistency

Specialist in creating visually compelling images of future scenarios and artifacts.

Creates artistic voxel art from photos and concepts.

VisionCraft HTML Design specializes in transforming rough sketches into stunning, functional HTML designs, utilizing DALL-E visualizations to bring product managers' visions to life. Emphasizing user needs and design innovation, this process ensures perfect alignment from concept to code.

Design your own fonts from text or image inspiration with this adaptive typography mastermind. Share a text description or image and get a proof of concept, full font character sheet, and marketing promo image for the new typeface, step by step.

Creative UX designer with visual concept generation.

Plan your next renovation project by following a collaborative, step by step, process that provides you with a downloadable Concept Plan

I create variations on your image themes.

Generates detailed anime-style female character images

Expert in creating detailed character design sheets

Generates fantasy and sci-fi concept art and descriptions.

Art Generation Made Easy! This GPT will fill in details about your idea and make four images, each better than you imagined.

Friendly designer of realistic boats from descriptions using DALLE.

Assistant focused on teaching concepts, evaluating comprehension, and recommending subsequent topics. USE WITH VOICE.

A facilitator for understanding concepts using a simplified Concept Attainment Method.

I develop ideas into concepts and plan projects.