AI tools for erotic ai image generator
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Hentai Girlfriend
Hentai Girlfriend is an AI-powered application that allows users to generate unique hentai art using state-of-the-art AI models and LoRas. Users can create custom hentai scenes, customize outfits, hairstyles, and body types, explore various art styles, control explicitness levels, and write erotic novels with custom AI characters. The application offers a variety of templates and models for generating hentai images, and users can join a community of like-minded individuals on the platform. With a focus on user privacy and security, Hentai Girlfriend provides a range of pricing packages and payment options for users to access its features.

Animalspicker
Animalspicker.com is an AI animal generator and blog that offers a wide range of resources related to animals. Users can randomly generate their favorite animals, explore pet care tips, learn about wildlife conservation efforts, delve into animal behavior, and discover information about exotic pets and pet nutrition. The website aims to provide comprehensive information to help users care for their pets and contribute to wildlife conservation.

Smexy AI
Smexy AI is a platform that allows users to generate and share their fantasies. It is the easiest, fastest, and best platform to do so, and it provides the highest quality models with infinite prompt options. With Smexy AI, users can create, tune, and enjoy their art in minutes, with no setup required and no need for GPUs or powerful computers.

EroPlay.ai
EroPlay.ai is an AI-powered platform that offers users the opportunity to engage in erotic roleplay with virtual companions. The website uses advanced artificial intelligence technology to create realistic and interactive scenarios for users to explore their fantasies in a safe and controlled environment. With EroPlay.ai, users can interact with AI-powered characters and immerse themselves in a unique and personalized roleplaying experience.

My Spicy Vanilla
My Spicy Vanilla is an AI Erotic Story Generator that crafts personalized, sexy stories to add spice to your love life. It offers a unique escape from reality, allowing individuals and couples to reconnect through romantasy stories that ignite passion, adventure, and intimacy. The platform features fast and high-quality story generations, private and secure user experience, built-in editing tools, customizable characters, immersive world design, and the option to turn stories into audio books. My Spicy Vanilla aims to deepen connections, fuel imagination, and bring excitement back into users' lives.

TalkDirtyAI
TalkDirtyAI is an AI-powered chatbot that allows users to explore their fantasies through simulated conversations. It is designed to provide a safe and private space for users to explore their sexuality and desires without judgment. The chatbot is trained on a massive dataset of erotic literature and is able to generate realistic and engaging conversations. It can also learn about the user's preferences over time and tailor the conversations accordingly.

NSFWGirlfriend
NSFWGirlfriend is a website that offers AI-powered NSFW chatbots for adult entertainment and companionship. These AI girlfriends are designed to provide personalized and engaging conversations, emotional support, and a safe space for users to explore their fantasies and desires. The website features a variety of AI characters with different personalities and appearances, and users can customize their interactions to suit their preferences. NSFWGirlfriend also offers a range of features such as uncensored AI art, voice chat, and multiple LLM options to enhance the user experience.

Unholy.ai
Unholy.ai is an AI tool designed to detect any 'unholiness' in the music you listen to. It uses advanced algorithms to analyze audio tracks and identify any elements that may be considered 'unholy' based on predefined criteria. The tool aims to provide users with insights into the content of their music and help them make informed decisions about what they listen to.

Sensual Babble Bot
Sensual Babble Bot translates English inputs into playful, sensual adult language, used for generating RP dialogue examples for characters.

Exotic Futuristic Shader Scientist
Crafts advanced, 200+ line HLSL shaders with exotic and brilliant design.

AnyGPT
AnyGPT is a unified multimodal language model that utilizes discrete representations for processing various modalities like speech, text, images, and music. It aligns the modalities for intermodal conversions and text processing. AnyInstruct dataset is constructed for generative models. The model proposes a generative training scheme using Next Token Prediction task for training on a Large Language Model (LLM). It aims to compress vast multimodal data on the internet into a single model for emerging capabilities. The tool supports tasks like text-to-image, image captioning, ASR, TTS, text-to-music, and music captioning.

AI-LLM-ML-CS-Quant-Readings
AI-LLM-ML-CS-Quant-Readings is a repository dedicated to taking notes on Artificial Intelligence, Large Language Models, Machine Learning, Computer Science, and Quantitative Finance. It contains a wide range of resources, including theory, applications, conferences, essentials, foundations, system design, computer systems, finance, and job interview questions. The repository covers topics such as AI systems, multi-agent systems, deep learning theory and applications, system design interviews, C++ design patterns, high-frequency finance, algorithmic trading, stochastic volatility modeling, and quantitative investing. It is a comprehensive collection of materials for individuals interested in these fields.

AI-LLM-ML-CS-Quant-Overview
AI-LLM-ML-CS-Quant-Overview is a repository providing overview notes on AI, Large Language Models (LLM), Machine Learning (ML), Computer Science (CS), and Quantitative Finance. It covers various topics such as LangGraph & Cursor AI, DeepSeek, MoE (Mixture of Experts), NVIDIA GTC, LLM Essentials, System Design, Computer Systems, Big Data and AI in Finance, Econometrics and Statistics Conference, C++ Design Patterns and Derivatives Pricing, High-Frequency Finance, Machine Learning for Algorithmic Trading, Stochastic Volatility Modeling, Quant Job Interview Questions, Distributed Systems, Language Models, Designing Machine Learning Systems, Designing Data-Intensive Applications (DDIA), Distributed Machine Learning, and The Elements of Quantitative Investing.

minja
Minja is a minimalistic C++ Jinja templating engine designed specifically for integration with C++ LLM projects, such as llama.cpp or gemma.cpp. It is not a general-purpose tool but focuses on providing a limited set of filters, tests, and language features tailored for chat templates. The library is header-only, requires C++17, and depends only on nlohmann::json. Minja aims to keep the codebase small, easy to understand, and offers decent performance compared to Python. Users should be cautious when using Minja due to potential security risks, and it is not intended for producing HTML or JavaScript output.

VideoTuna
VideoTuna is a codebase for text-to-video applications that integrates multiple AI video generation models for text-to-video, image-to-video, and text-to-image generation. It provides comprehensive pipelines in video generation, including pre-training, continuous training, post-training, and fine-tuning. The models in VideoTuna include U-Net and DiT architectures for visual generation tasks, with upcoming releases of a new 3D video VAE and a controllable facial video generation model.

PulsarRPAPro
PulsarRPAPro is a powerful robotic process automation (RPA) tool designed to automate repetitive tasks and streamline business processes. It offers a user-friendly interface for creating and managing automation workflows, allowing users to easily automate tasks without the need for extensive programming knowledge. With features such as task scheduling, data extraction, and integration with various applications, PulsarRPAPro helps organizations improve efficiency and productivity by reducing manual work and human errors. Whether you are a small business looking to automate simple tasks or a large enterprise seeking to optimize complex processes, PulsarRPAPro provides the flexibility and scalability to meet your automation needs.

PulsarRPA
PulsarRPA is a high-performance, distributed, open-source Robotic Process Automation (RPA) framework designed to handle large-scale RPA tasks with ease. It provides a comprehensive solution for browser automation, web content understanding, and data extraction. PulsarRPA addresses challenges of browser automation and accurate web data extraction from complex and evolving websites. It incorporates innovative technologies like browser rendering, RPA, intelligent scraping, advanced DOM parsing, and distributed architecture to ensure efficient, accurate, and scalable web data extraction. The tool is open-source, customizable, and supports cutting-edge information extraction technology, making it a preferred solution for large-scale web data extraction.

TinyTroupe
TinyTroupe is an experimental Python library that leverages Large Language Models (LLMs) to simulate artificial agents called TinyPersons with specific personalities, interests, and goals in simulated environments. The focus is on understanding human behavior through convincing interactions and customizable personas for various applications like advertisement evaluation, software testing, data generation, project management, and brainstorming. The tool aims to enhance human imagination and provide insights for better decision-making in business and productivity scenarios.

HuggingFaceGuidedTourForMac
HuggingFaceGuidedTourForMac is a guided tour on how to install optimized pytorch and optionally Apple's new MLX, JAX, and TensorFlow on Apple Silicon Macs. The repository provides steps to install homebrew, pytorch with MPS support, MLX, JAX, TensorFlow, and Jupyter lab. It also includes instructions on running large language models using HuggingFace transformers. The repository aims to help users set up their Macs for deep learning experiments with optimized performance.

llm.c
LLM training in simple, pure C/CUDA. There is no need for 245MB of PyTorch or 107MB of cPython. For example, training GPT-2 (CPU, fp32) is ~1,000 lines of clean code in a single file. It compiles and runs instantly, and exactly matches the PyTorch reference implementation. I chose GPT-2 as the first working example because it is the grand-daddy of LLMs, the first time the modern stack was put together.