Best AI tools for< Generate Illustrated Tales >

CreateBookAI is an AI-powered platform that allows users to easily create personalized children's books in just minutes. Users can design and customize fully illustrated books for any occasion, with inspiring tales and life lessons. The platform offers total ownership of the generated books, including selling rights and copyright. CreateBookAI provides a user-friendly experience, enabling users to generate books quickly and effortlessly.

Stories by AI is a website that offers unique tales written, illustrated, and narrated with AI. It has over 5,000 subscribers and provides a platform for users to explore AI-generated content.

DreamStudio is a cutting-edge AI-powered platform that empowers users to create stunning digital artwork and explore their creativity like never before. With its advanced algorithms and user-friendly interface, DreamStudio makes it possible for anyone to generate unique and captivating images, illustrations, and designs. Whether you're a professional artist, a hobbyist, or simply someone who appreciates the beauty of art, DreamStudio offers a transformative experience that will ignite your imagination and push the boundaries of your creativity.

Oscar is a personalized bedtime story app that allows children to be the star of their own stories. With the help of AI, Oscar generates unique stories that are tailored to each child's interests and preferences. The stories are educational and entertaining, and they cover a wide range of topics, including honesty, kindness, courage, empathy, and responsibility. Oscar also offers a variety of features that make it easy for parents to create and share stories with their children.

DoDoBoo is a unique app that transforms children's doodles into vibrant works of art. It's a fun, family-friendly platform that inspires creativity and confidence in kids. With its optimized AI model, child-centric design, enhanced child protection, and seamless updates, DoDoBoo provides a safe and engaging space for kids to explore their artistic talents and learn about advanced technology in a fun way.

Fabled AI is a powerful AI-powered writing assistant that helps you create high-quality content quickly and easily. With Fabled AI, you can generate articles, blog posts, social media content, website copy, and more. Fabled AI is easy to use and affordable, making it the perfect solution for businesses and individuals who want to improve their writing skills.

KidsAIStory is an AI-powered platform that allows users to create their own illustrated children's books with the help of artificial intelligence. The platform offers a user-friendly interface where users can easily generate unique stories featuring various themes and characters. By leveraging AI technology, KidsAIStory aims to make storytelling more accessible and engaging for children and parents alike. With a wide range of customization options and AI-generated content, users can unleash their creativity and bring their imagination to life through beautifully illustrated stories.

Orbix AI is a revolutionary AI application that offers advanced AI solutions through its custom GPT technology. The platform specializes in creating user-friendly AI tools that simplify complexities and enhance work, creativity, and interaction. With a focus on ethical and effective AI, Orbix AI aims to shape a future where technology inspires creativity and simplifies challenges for diverse needs across various industries.

Imagen is an AI application that leverages text-to-image diffusion models to create photorealistic images based on input text. The application utilizes large transformer language models for text understanding and diffusion models for high-fidelity image generation. Imagen has achieved state-of-the-art results in terms of image fidelity and alignment with text. The application is part of Google Research's text-to-image work and focuses on encoding text for image synthesis effectively.

Supermachine is an AI-powered image generator that allows users to create realistic and unique images from scratch. With a simple text prompt, users can generate images of anything they can imagine, from landscapes and portraits to abstract concepts and surreal scenes. Supermachine's AI technology is trained on a massive dataset of images, allowing it to generate images that are both visually appealing and realistic.

TrainEngine.ai is a powerful AI-powered image generation tool that allows users to create stunning, unique images from text prompts. With its advanced algorithms and vast dataset, TrainEngine.ai can generate images in a wide range of styles, from realistic to abstract, and in various formats, including photos, paintings, and illustrations. The platform is easy to use, making it accessible to both professional artists and hobbyists alike. TrainEngine.ai offers a range of features, including the ability to fine-tune models, generate unlimited AI assets, and access trending models. It also provides a marketplace where users can buy and sell AI-generated images.

SketchMe.App is an AI-powered application that allows users to generate unique drawings of their portraits for social media icons. Users can upload a few selfie photos, select a preferred style, and let the Generative AI create personalized illustrations. The application offers various styles such as Pencil Sketch, Flat Design, Pixar Animation, Pixel Art, Caricature, and Gogh Style. With easy steps and affordable pricing packages, SketchMe.App provides users with a quick and cost-effective way to obtain personalized digital portraits.

Feng My Shui is an application that allows users to generate images using a combination of Midjourney and Stable Diffusion XL AI models. It offers a user-friendly interface and allows users to generate images without the need for a Midjourney account or Discord app. The application also includes a credit system that allows users to generate a certain number of images per month. Additional credits can be purchased if needed. Feng My Shui is available on the web, iOS, and Android devices.

Napkin AI is a visual AI tool designed for business storytelling. It transforms text into visuals like diagrams, charts, scenes, and images, making it quick and effective to share ideas. With features such as icon database, decorators, dynamic connectors, and various customization options, Napkin helps users create impactful visuals for presentations, social media, blogs, and more. The tool offers a user-friendly interface and modern design, making it easy to generate and edit visuals directly from text.

VectorArt.ai is a web-based application that uses artificial intelligence to generate vector images. With VectorArt.ai, users can create custom SVG images, logos, icons, and illustrations for their website, business, or app. The application is easy to use and requires no design experience. Users simply need to type in a description of the image they want to create, and VectorArt.ai will generate the image for them. VectorArt.ai offers a variety of features, including the ability to create custom SVG images, write text-to-image prompts, draw sketch-to-image prompts, explore illustration styles, and use royalty-free images. The application also offers a free image gallery with over 1 million images that users can download and use for free.

AI Art Generator is a website that allows users to create AI-generated art. Users can choose from a variety of styles, including fantasy, anime, and cyberpunk. The website also offers a variety of tools to help users create their own unique artwork. AI Art Generator is a great way to explore your creativity and create beautiful, unique artwork.

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.

Canvas AI is an innovative AI tool designed to assist businesses in generating strategy canvases and business models. It leverages artificial intelligence to provide suggestions, templates, and visualizations that enhance strategic insights and decision-making. With features like AI-driven content generation, image illustration, and product management insights, Canvas AI aims to revolutionize the way businesses innovate and strategize. The tool is user-friendly and accessible, offering a seamless experience for users to co-create, innovate, and transform their business ideas into actionable strategies.

Arthub.ai is a platform where users can discover, upload, and share AI-generated art. The platform features a library of art prompts that users can use to generate their own unique artwork. Users can also upvote and downvote art submissions, and explore art generated by other users.

Dallelist is a Dall-E 2 prompt helper that provides users with high-quality prompts to generate better images using Dall-E 2. It offers a wide range of prompts, including abstract concepts, specific objects, and even entire scenes. With Dallelist, users can easily create stunning and realistic images that were previously impossible to achieve.

Gemini PHP is a PHP API client for interacting with the Gemini AI API. It allows users to generate content, chat, count tokens, configure models, embed resources, list models, get model information, troubleshoot timeouts, and test API responses. The client supports various features such as text-only input, text-and-image input, multi-turn conversations, streaming content generation, token counting, model configuration, and embedding techniques. Users can interact with Gemini's API to perform tasks related to natural language generation and text analysis.

This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.

Awesome GPT Prompt Engineering is a curated list of resources, tools, and shiny things for GPT prompt engineering. It includes roadmaps, guides, techniques, prompt collections, papers, books, communities, prompt generators, Auto-GPT related tools, prompt injection information, ChatGPT plug-ins, prompt engineering job offers, and AI links directories. The repository aims to provide a comprehensive guide for prompt engineering enthusiasts, covering various aspects of working with GPT models and improving communication with AI tools.

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

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

Awesome-LLM-RAG-Application is a repository that provides resources and information about applications based on Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) pattern. It includes a survey paper, GitHub repo, and guides on advanced RAG techniques. The repository covers various aspects of RAG, including academic papers, evaluation benchmarks, downstream tasks, tools, and technologies. It also explores different frameworks, preprocessing tools, routing mechanisms, evaluation frameworks, embeddings, security guardrails, prompting tools, SQL enhancements, LLM deployment, observability tools, and more. The repository aims to offer comprehensive knowledge on RAG for readers interested in exploring and implementing LLM-based systems and products.

RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). And it's 100% attention-free. You only need the hidden state at position t to compute the state at position t+1. You can use the "GPT" mode to quickly compute the hidden state for the "RNN" mode. So it's combining the best of RNN and transformer - **great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding** (using the final hidden state).

Recent LLM (Large Language Models)-based CV and multi-modal works.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

ChatSim is a tool designed for editable scene simulation for autonomous driving via LLM-Agent collaboration. It provides functionalities for setting up the environment, installing necessary dependencies like McNeRF and Inpainting tools, and preparing data for simulation. Users can train models, simulate scenes, and track trajectories for smoother and more realistic results. The tool integrates with Blender software and offers options for training McNeRF models and McLight's skydome estimation network. It also includes a trajectory tracking module for improved trajectory tracking. ChatSim aims to facilitate the simulation of autonomous driving scenarios with collaborative LLM-Agents.

Awesome RAG is a curated list of retrieval-augmented generation (RAG) in large language models. It includes papers, surveys, general resources, lectures, talks, tutorials, workshops, tools, and other collections related to retrieval-augmented generation. The repository aims to provide a comprehensive overview of the latest advancements, techniques, and applications in the field of RAG.

This repository evaluates Large Language Models (LLMs) trained on PGN format chess games using linear probes. It assesses the LLMs' internal understanding of board state and their ability to estimate player skill levels. The repo provides tools to train, evaluate, and visualize linear probes on LLMs trained to play chess with PGN strings. Users can visualize the model's predictions, perform interventions on the model's internal board state, and analyze board state and player skill level accuracy across different LLMs. The experiments in the repo can be conducted with less than 1 GB of VRAM, and training probes on the 8 layer model takes about 10 minutes on an RTX 3050. The repo also includes scripts for performing board state interventions and skill interventions, along with useful links to open-source code, models, datasets, and pretrained models.

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.

I create fun, child-friendly bedtime stories and generate images to match.

I create custom social media avatars in flat illustrated style.

Dê um tema e crie um livro completo e com imagens.

As a Good Design Advisor, I provide consultation and advice on design topics and analyze designs that are provided through documents or links. I can also generate visual representations myself to illustrate design concepts.

Transforms lines into detailed prompts for visual storytelling.

Generate Alphonse Mucha style image with your words as a hint. This GPT can grade the image itself and suggest further improvements.

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

Generate illustrations in classic 1990s Japanese anime style.

Generate a diagram from a description or code snippet

Generates comic strips from articles.

生成青花瓷风格融合的图像

AI generating dual responses: standard and 'dark' images.

This tool is here to help through the creative process generating pictures with DALL.E.

Dedicated Fallout-style image generator

Vision + Dall-E

Expert in Tailored Image Prompts

Generates manga symbols with visual guides.

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.

I create 6 images based on theme, style, tone. Say hello to start.

Expert en Stable Diffusion Automatic1111 avec priorité sur vos documents