Best AI tools for< Illustrate Anime Games >

NovelAI is an AI-powered storytelling platform that offers a monthly subscription service for AI-assisted image generation and storytelling. Users can create unique stories, illustrate thrilling tales, and write seductive romances with the help of AI technology. The platform provides a creative sandbox for imagination without censorship or guidelines, allowing users to freely express their creativity. NovelAI features advanced image generation, customizable editor, AI output control, secure writing storage, memory expansion, and module-powered tools to enhance storytelling. Users can engage in text adventures, push writing limits with enhanced detail, and give personalized instructions to guide their stories.

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.

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.

Waifu Labs is a state-of-the-art AI that draws custom anime portraits. It uses machine learning to figure out your preferences and create a perfect character illustration in 4 easy steps. It's totally free to use and you can even use your character in a game called Arrowmancer.

LlamaGen.Ai is an ultimate AI-powered ACG creation tool that allows users to effortlessly create comics, webtoons, manga, and manhwa online. It breaks the limits of anime, comics, and games creation, offering endless possibilities for storytelling and visual art. With cutting-edge technology and user-friendly features, LlamaGen.Ai revolutionizes the way creators generate engaging comic scenes and stunning cartoons, providing a seamless experience for both beginners and experienced artists.

AnimeGirl.studio is an AI-powered anime art creation and generation tool that allows users to create stunning anime-style artwork with just a few clicks. With its advanced algorithms and intuitive interface, AnimeGirl.studio makes it easy for anyone to create professional-quality anime art, regardless of their skill level. Whether you're a seasoned artist or a complete beginner, AnimeGirl.studio can help you bring your anime visions to life.

Yodayo is an AI-enabled creative platform for anime fandom. It is a place where anime fans can share and create more of what they love. The platform includes an AI Art Tavern, where users can create and share AI-generated anime art. Yodayo also hosts contests and provides guides for creating anime art.

AniGenie is an AI-powered anime character generation tool that allows users to create unique anime characters in seconds. With various styles, expressions, and customizations available, users can unleash their creativity and bring their imagination to life. The tool has received positive feedback from anime, manga creators, and game developers for its ability to overcome creative blocks and provide inspiring character designs.

Photo to Anime is a free, privacy-centric AI anime filter that allows users to transform their photos and text descriptions into captivating anime-style art. With its user-friendly interface and powerful AI capabilities, Photo to Anime empowers users to unleash their creativity and explore the world of anime art without any artistic or coding skills. The platform offers two main features: Photo-to-Anime, which converts personal photos into unique anime artwork, and Text-to-Anime, which turns written prompts into custom anime-style images. Photo to Anime ensures user privacy by processing images on-device, eliminating the need for cloud uploads. The platform is free to use, with no login or credit card required, making it accessible to all.

Holara is an anime art creation platform that allows users to generate anime images using AI technology. Users can input prompts and select various tags to customize their creations. The platform offers different models and styles to choose from, catering to a wide range of preferences. Holara provides the option to purchase hologems for additional features and access. With a user-friendly interface, Holara aims to make it easy for users to create unique anime art effortlessly.

Foxify is an AI tool that offers an Anime AI Art Generator for free. Users can easily create anime-style art using various features such as Image Text to Image, Remove Background, Upscale, Inpainting, and Video Animatediff. The platform allows users to generate new art pieces and explore a flow of recommended works. Foxify aims to provide a user-friendly experience for art enthusiasts to unleash their creativity through AI technology.

AnimeGen is a free AI Anime Generator that leverages advanced AI models to create stunning anime-style images from user-provided text prompts. It supports over 80 common languages and is a versatile tool suitable for artists, writers, and anime enthusiasts. The AI anime generator empowers users to effortlessly bring their creative visions to life, making it an essential tool for anyone interested in digital art and anime production.

Penly AI is an advanced AI application that offers a range of creative tools for generating custom anime and real girl art. Users can transform images, create personalized anime characters, engage in text-powered creation, and converse with AI companions. The platform leverages cutting-edge AI technology to enhance artistic potential, allowing users to effortlessly modify, expand, or eliminate elements in their images using text commands. With features like Dream Weaver technology, Lookalike Portraits, and Outpainting, Penly AI provides users with limitless creative possibilities and realistic visual outcomes.

BetterWaifu is an AI tool that serves as an NSFW AI Generator and Imageboard. It is designed to create high-quality hentai images based on user preferences. The tool boasts of understanding user requirements accurately to generate desired content. BetterWaifu offers a range of features and functionalities to enhance the user experience in creating explicit content. The platform is committed to providing a safe and private environment for users to explore their creative desires.

AI Anime Generator is a platform that allows users to generate high-quality anime images using advanced algorithms. Users can specify character traits, select a style, and create custom anime masterpieces without the need for artistic skills. The tool offers a diverse range of anime styles, customizable artwork details, and professional-grade illustrations, making it ideal for artists seeking inspiration or fans designing original characters.

AI Anime Generator is an advanced online tool that utilizes artificial intelligence to transform text prompts into stunning anime-style artwork. With a wide range of artistic styles available, users can create unique and customizable anime characters, scenes, and action sequences in seconds. The platform offers efficient and intelligent AI capabilities, user-friendly design, powerful customization options, and additional tools like image enhancers and background replacers for a comprehensive anime creation experience. AI Anime Generator is ideal for creative professionals, writers, artists, and enthusiasts looking to visualize narratives or explore new ideas without advanced drawing skills.

AI Anime Art Generator is an AI-driven platform that enables users to create high-quality anime characters and scenes effortlessly. It offers customization options, a user-friendly interface, and community sharing features. The tool caters to beginners and professionals alike, providing fast generation of anime art in seconds. With various styles, colors, and expressions available, users can personalize their creations and export them in high resolution for professional use.

AAG is a free AI Anime Image Generator that allows users to turn text and photos into high-quality anime art. The tool is designed for both personal fan art and commercial projects, offering multiple art styles and professional-grade illustrations with a single click. Users can create anime images of cute girls, cool guys, everyday scenes, or fantasy worlds without the need for drawing skills. AAG provides instant transformation of photos into anime style images, making it easy for anyone to bring their ideas to life through AI technology.

The website is an AI Anime Generator that allows users to easily create anime art from text descriptions or photos. Users can generate anime-style artwork in seconds with just one click. The AI Anime Generator is based on machine learning models trained on a large dataset of anime-style images, leveraging generative adversarial networks and deep learning techniques to create realistic and visually appealing anime art.

The AI Anime Generator is an online tool that allows users to generate anime characters or scenes by entering a description in a text box. Users can create unique anime images by providing specific details and clicking the 'Generate' button. The tool utilizes artificial intelligence to produce the desired image based on the input. It offers a user-friendly interface and is free to use for creating custom anime content.

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

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.

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.

Reasonable Planning AI is a robust design and data-driven AI solution for game developers. It provides an AI Editor that allows creating AI without Blueprints or C++. The AI can think for itself, plan actions, adapt to the game environment, and act dynamically. It consists of Core components like RpaiGoalBase, RpaiActionBase, RpaiPlannerBase, RpaiReasonerBase, and RpaiBrainComponent, as well as Composer components for easier integration by Game Designers. The tool is extensible, cross-compatible with Behavior Trees, and offers debugging features like visual logging and heuristics testing. It follows a simple path of execution and supports versioning for stability and compatibility with Unreal Engine versions.

AI Anime Art Generator is an AI-driven cutting-edge tool for anime arts creation. Perfect for beginners to easily create stunning anime art without any prior experience. It allows users to create detailed character designs, custom avatars for social media, and explore new artistic styles and ideas. Built on Next.js, TailwindCSS, Google Analytics, Vercel, Replicate, CloudFlare R2, and Clerk.

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.

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.

ScribbleArchitect is a GUI tool designed for generating images from simple brush strokes or Bezier curves in real-time. It is primarily intended for use in architecture and sketching in the early stages of a project. The tool utilizes Stable Diffusion and ControlNet as AI backbone for the generative process, with IP Adapter support and a library of predefined styles. Users can transfer specific styles to their line work, upscale images for high resolution export, and utilize a ControlNet upscaler. The tool also features a screen capture function for working with external tools like Adobe Illustrator or Inkscape.

This repo contains official implementations of **Coach AI Badminton Project** from Advanced Database System Laboratory, National Yang Ming Chiao Tung University supervised by Prof. Wen-Chih Peng. The high-level concepts of each project are as follows: 1. Visualization Platform published at _Physical Education Journal 2020_ aims to construct a platform that can be used to illustrate the data from matches. 2. Shot Influence and Extension Work published at _ICDM-21_ and _ACM TIST 2022_ , respectively introduce a framework with a shot encoder, a pattern extractor, and a rally encoder to capture long short-term dependencies for evaluating players' performance of each shot. 3. Stroke Forecasting published at _AAAI-22_ proposes the first stroke forecasting task to predict the future strokes of both players based on the given strokes by ShuttleNet, a position-aware fusion of rally progress and player styles framework. 4. Strategic Environment published at _AAAI-23 Student Abstract_ designs a safe and reproducible badminton environment for turn-based sports, which simulates rallies with different angles of view and designs the states, actions, and training procedures. 5. Movement Forecasting published at _AAAI-23_ proposes the first movement forecasting task, which contains not only the goal of stroke forecasting but also the movement of players, by DyMF, a novel dynamic graphs and hierarchical fusion model based on the proposed player movements (PM) graphs. 6. CoachAI-Challenge-IJCAI2023 is a badminton challenge (CC4) hosted at _IJCAI-23_. Please find the website for more details. 7. ShuttleSet published at _KDD-23_ is the largest badminton singles dataset with stroke-level records. - An extension dataset ShuttleSet22 published at _IJCAI-24 Demo & IJCAI-23 IT4PSS Workshop_ is also released. 8. CoachAI Badminton Environment published at _AAAI-24 Student Abstract and Demo, DSAI4Sports @ KDD 2023_ is a reinforcement learning (RL) environment tailored for AI-driven sports analytics, offering: i) Realistic opponent simulation for RL training; ii) Visualizations for evaluation; and iii) Performance benchmarks for assessing agent capabilities.

Motleycrew is an ultimate framework for building multi-agent AI systems, allowing users to mix and match AI agents and tools from popular frameworks, design advanced workflows, and leverage dynamic knowledge graphs with simplicity and elegance. It acts as a conductor orchestrating a symphony of AI agents and tools, providing building blocks for creating AI systems and enabling users to focus on high-level design while taking care of the rest. The framework offers integration with various tools, flexibility in providing agents with tools or other agents, advanced flow design capabilities, and built-in observability and caching features.

This repository contains samples to help design AI applications using data from an Azure SQL Database. It showcases technical concepts and workflows integrating Azure SQL data with popular AI components both within and outside Azure. The samples cover various AI features such as Azure Cognitive Services, Promptflow, OpenAI, Vanna.AI, Content Moderation, LangChain, and more. Additionally, there are end-to-end samples like Similar Content Finder, Session Conference Assistant, Chatbots, Vectorization, SQL Server Database Development, Redis Vector Search, and Similarity Search with FAISS.

LLM101n is a course focused on building a Storyteller AI Large Language Model (LLM) from scratch in Python, C, and CUDA. The course covers various topics such as language modeling, machine learning, attention mechanisms, tokenization, optimization, device usage, precision training, distributed optimization, datasets, inference, finetuning, deployment, and multimodal applications. Participants will gain a deep understanding of AI, LLMs, and deep learning through hands-on projects and practical examples.

The Open-Reasoning-Tasks repository is a collaborative project aimed at creating a comprehensive list of reasoning tasks for training large language models (LLMs). Contributors can submit tasks with descriptions, examples, and optional diagrams to enhance LLMs' reasoning capabilities.

AICIty-reID 2020 is a repository containing the 1st Place submission to AICity Challenge 2020 re-id track by Baidu-UTS. It includes models trained on Paddlepaddle and Pytorch, with performance metrics and trained models provided. Users can extract features, perform camera and direction prediction, and access related repositories for drone-based building re-id, vehicle re-ID, person re-ID baseline, and person/vehicle generation. Citations are also provided for research purposes.

The Alignment Handbook provides robust training recipes for continuing pretraining and aligning language models with human and AI preferences. It includes techniques such as continued pretraining, supervised fine-tuning, reward modeling, rejection sampling, and direct preference optimization (DPO). The handbook aims to fill the gap in public resources on training these models, collecting data, and measuring metrics for optimal downstream performance.

Pandrator is a GUI tool for generating audiobooks and dubbing using voice cloning and AI. It transforms text, PDF, EPUB, and SRT files into spoken audio in multiple languages. It leverages XTTS, Silero, and VoiceCraft models for text-to-speech conversion and voice cloning, with additional features like LLM-based text preprocessing and NISQA for audio quality evaluation. The tool aims to be user-friendly with a one-click installer and a graphical interface.

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.

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.

Generate illustrations in classic 1990s Japanese anime style.

Passionate anime creation guide and enthusiast.

I create Cursed Techniques and Domains with Jujutsu Kaisen-style visuals.

Creates dynamic anime basketball scenes

Solve elegant puzzles in anime-inspired escape rooms. Let me entertain you with this interactive escape room game, lovingly illustrated in the style of elegant Shojo anime.

Generates detailed anime-style female character images

Neo-Tokyo avatar designer

Worlds collide. Aliens vs anime. Let me entertain you with this interactive alien invasion game, lovingly illustrated in the style of elegant Shojo anime.

Going into battle with our eyes wide open. Let me entertain you with this interactive historic battle simulation game, lovingly illustrated in the style of elegant Shojo anime.

Creates AI Prompts for Anime Style AI Images

Upload Image, Receive Waifu

好きな単語やシチュエーションを入れると、それをモチーフにした女の子の画像を作ってくれます。Put in any word you like and it will create an image of a girl based on that word.

Expert in black and white anime sketches

High-quality, detailed anime-style illustrator.

多様な技法でアニメイラストを生成

Creates vintage anime images of Tropical areas

Draw images in the iconic style of Berserk

Drawing cat-themed illustrations related to answers.

Designs anime-style cards

Anime image creator and romantic, mysterious story writer.