Best AI tools for< develop concept art >

This website provides an AI-powered image generation tool that allows users to create various types of images, including interior design concepts, fashion collections, paintings, and concept art. The tool utilizes advanced AI technology to generate images based on user prompts, enabling users to explore their creativity and generate unique visual content in seconds.

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.

Fuups.ai is an AI-powered art generator that allows users to create stunning images and artworks with ease. With a vast library of AI models, precision control options, and intuitive creation tools, Fuups.ai empowers users to unleash their creativity and bring their imaginations to life. The platform offers a user-friendly environment where advanced AI technology is simplified into accessible tools, making it easy for anyone to create captivating digital art.

The Free AI Hentai Generator is an innovative online platform that utilizes advanced artificial intelligence technology to create personalized and high-quality adult artwork. It allows users to explore their creativity, customize characters and settings, and generate stunning hentai artwork effortlessly. The platform is free to use and offers a wide range of customization options, making it suitable for diverse artistic projects and preferences.

Promethean AI is an AI-powered creative assistant that helps teams create digital art and assets more efficiently. It offers a range of features including asset management, world building, and enterprise features. Promethean AI is used by a variety of industries including outsourcing, asset production, architectural visualization, games, and film.

Deep Anime is an AI-powered art generator that allows users to create unique anime-style images from text prompts. With a vast database of anime-related images, Deep Anime can generate high-quality images that are both visually appealing and true to the anime aesthetic.

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.

Koolio.ai is an AI-powered storytelling platform that helps you create engaging and personalized stories. With Koolio.ai, you can easily generate story ideas, develop characters, and write compelling narratives. Whether you're a professional writer, a student, or just someone who loves to tell stories, Koolio.ai can help you take your storytelling to the next level.

Brick Generator is a proof of concept tool that allows users to generate 3D brick models from text descriptions. It is powered by artificial intelligence and machine learning algorithms, which enable it to understand the user's intent and create realistic and detailed models. The tool is still in its early stages of development, but it has the potential to revolutionize the way that architects, engineers, and designers create and visualize their projects.

The Visual Computing and Artificial Intelligence Department investigates foundational research problems at the intersection of Computer Graphics, Computer Vision and Artificial Intelligence. It is our long term vision to develop entirely new ways to capture, represent, synthesize and simulate models of the real world at highest detail, robustness, and efficiency. To achieve this long term goal, we develop new concepts that rethink and unite established approaches from Computer Graphics and Computer Vision with concepts from Artificial Intelligence, in particular Machine Learning. Our work lays the foundations for a new of thinking about computer graphics, and a new way of uniting and enriching the real world with computer graphics technology. It also lays the foundations for advanced methods to better perceive, understand and interpret the complex real world in motion surrounding us from visual observation, which is an essential capability of future intelligent computing systems that safely and intuitively interact with humans and the human world.

RunDiffusion is a cloud-based platform that provides access to a suite of open-source AI tools, including Automatic1111, Fooocus, ComfyUI, and more. These tools enable users to generate images, videos, and other creative content using artificial intelligence. RunDiffusion offers a variety of features, including a user-friendly interface, a wide range of models to choose from, and the ability to collaborate with other users. The platform is suitable for both hobbyists and professionals, and it can be used for a variety of tasks, such as creating marketing materials, generating product ideas, and developing new artistic concepts.

TRIAD Creative Fast AI is a tool that helps users create campaign ideas for NGOs and brands using generative AI. The tool provides 15 ideas from an AI model trained on common creative mechanics and TRIAD agency's most awarded campaigns. The ideas are presented in a PDF format and sent to the user's mailbox. TRIAD Creative Fast AI is part of a suite of innovative tools for brands and agencies, including Kontentino for social media management and Allfred for agency workflow management.

AI Comic Generator is a free online tool that allows users to create their own comic stories without any drawing skills. With just a few clicks, users can choose their comic style and theme, enter their story outline or keywords, and adjust details such as characters, expressions, and background. The tool then generates a high-resolution, richly detailed comic image that can be downloaded or shared on social media.

Flim is a search engine for creative people that helps users find the perfect image to express their ideas. It offers a database of over 1 million images from movies, TV series, documentaries, music videos, and ads. Flim also provides a variety of tools to help users refine their search, including the ability to search by color, date, and frame size. Additionally, Flim offers a safe search tool that filters out explicit content. Flim is a valuable resource for creative professionals who need to find high-quality images for their projects.

88stacks is a website that provides resources and tools for mastering Generative AI and Stable Diffusion. It offers a variety of software tools, tutorials, and databases to help users create and understand generative AI images. The website also publishes free designs and concepts created using generative AI.

Ludo.ai is a comprehensive AI-powered platform designed to assist game studios in the pre-production stage of game development. It offers a suite of tools that leverage AI text generation, AI image generation, and AI-powered semantic search to streamline the process of researching, generating, and developing game concepts. Ludo.ai empowers game developers with the ability to generate new game ideas, monitor market trends, conduct in-depth research, organize and boost productivity, and access a range of resources to enhance their game design process.

Dale on AI is a website dedicated to providing insightful articles and guides on various topics related to artificial intelligence, machine learning, and deep learning. The website covers a wide range of subjects, from practical tutorials on building AI-powered applications to in-depth explanations of cutting-edge AI technologies. With a focus on making complex AI concepts accessible to developers and enthusiasts, Dale on AI serves as a valuable resource for anyone interested in exploring the world of artificial intelligence.

Synthesis is an online learning platform that offers math tutoring and problem-solving games for children ages 7 and up. The platform was founded by a former SpaceX engineer and is based on the same principles that were used to develop the SpaceX school. Synthesis's mission is to help children develop critical thinking, problem-solving, and communication skills. The platform offers a variety of features, including personalized learning plans, interactive games, and live tutoring sessions.

Synthesis is an online learning platform that offers math tutoring and problem-solving games for children ages 7 and up. The platform was founded by Josh Dahn, a former SpaceX engineer, and is based on the same educational principles that were used at the SpaceX school. Synthesis's mission is to help children develop critical thinking, problem-solving, and communication skills. The platform offers a variety of features, including: personalized learning plans, interactive games, and live tutoring sessions. Synthesis is also committed to making education accessible to all children, regardless of their background or financial situation.

Cookup AI is a comprehensive suite of AI-powered tools designed to enhance creativity and productivity across various domains, including SEO, marketing, content creation, programming, and more. With a wide range of applications, Cookup AI empowers users to generate compelling content, optimize marketing campaigns, streamline product development, and simplify complex concepts. The platform leverages advanced AI algorithms to provide users with tailored solutions, enabling them to achieve their goals more efficiently and effectively.

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

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.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

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.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

AI-For-Beginners is a comprehensive 12-week, 24-lesson curriculum designed by experts at Microsoft to introduce beginners to the world of Artificial Intelligence (AI). The curriculum covers various topics such as Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, Genetic Algorithms, and Multi-Agent Systems. It includes hands-on lessons, quizzes, and labs using popular frameworks like TensorFlow and PyTorch. The focus is on providing a foundational understanding of AI concepts and principles, making it an ideal starting point for individuals interested in AI.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

Praison AI is a low-code, centralised framework that simplifies the creation and orchestration of multi-agent systems for various LLM applications. It emphasizes ease of use, customization, and human-agent interaction. The tool leverages AutoGen and CrewAI frameworks to facilitate the development of AI-generated scripts and movie concepts. Users can easily create, run, test, and deploy agents for scriptwriting and movie concept development. Praison AI also provides options for full automatic mode and integration with OpenAI models for enhanced AI capabilities.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

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Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

OpenAdapt is an open-source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). It aims to automate repetitive GUI workflows by leveraging the power of LMMs. OpenAdapt records user input and screenshots, converts them into tokenized format, and generates synthetic input via transformer model completions. It also analyzes recordings to generate task trees and replay synthetic input to complete tasks. OpenAdapt is model agnostic and generates prompts automatically by learning from human demonstration, ensuring that agents are grounded in existing processes and mitigating hallucinations. It works with all types of desktop GUIs, including virtualized and web, and is open source under the MIT license.

Creates AI Prompts for Anime Style AI Images

I create epic cat warrior images.

A colorful World of Warcraft lore artist, providing visual narratives upon request.

Creates emotional, complex manga scenes with subtle foreshadowing.

Creates vivid illustrations based on Cixin Liu's sci-fi trilogy

Visionary painter of digital wonder.

Children's Storybook Illustrator with DALL-E 3

Expert in creating detailed character design sheets

Transforms portraits into dark fantasy-themed images.

Various creatures walk along Abbey Road.

Friendly designer of realistic boats from descriptions using DALLE.

Imaginative Sci-Fi & Fantasy World Creator

Designer of trap-style character visuals.

Character analyst and visual recreator.

an ai idea generator and production tool for image makers

Generates mixed media collage art with Dadaism, pop art, and street influences.

ベクターイラストを簡単作成

Transforms movie scenes into retro, American comic-style art.

Advisor for MoodBoardly, aiding in creative mood board creation. www.moodboardly.com

I am your expert in Playmobil box design. I will generate any theme you can imagine.