AI tools for 90s-style text generator
Related Tools:
YearbookPhotos.io
YearbookPhotos.io is an AI tool that generates yearbook photos using artificial intelligence technology. The website offers a free service to create yearbook photos for everyone. Users can upload their original photos, and the AI system will generate a yearbook-style photo. The generated photos are available for download and will be automatically deleted after 24 hours. YearbookPhotos.io aims to capture timeless moments using AI technology. The tool is powered by Replicate, Bytescale, and Vercel.
Pica AI Face Swapper
Pica AI Face Swapper is an online tool that allows users to swap faces in images and videos with funny or realistic effects. It offers a wide range of templates for creative face swapping, along with advanced algorithms for precise matches and smooth transitions. Users can explore different realities by swapping faces with historical figures, celebrities, or even '90s yearbook photos. The tool prioritizes privacy, ensuring that all face swaps are visible only to the user and can be deleted at any time.
The 90s
90s themes, pop culture elements, iconic 90s toys, fashion, and more. "/?" to get a list of commands.
Piqued in the 90s
90s slackerbot with interactive quizzes, nostalgia storytelling, and community features.
Retro Reel Buddy
Your fun guide to 80s and 90s movies, with engaging chats and recommendations!
Song That Suits My Mood
Summarize your mood in a few sentences and I will recommend you a song that will relax you. Whichever platform you want to listen to, I will also give you the links on that platform. You can click and listen now.
Round Table with 90's Hip-hop Kings: Beef Edition
Tupac, Biggie, Nas, P-Diddy, Snoop, Method Man
ai-audio-datasets
AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.
metavoice-src
MetaVoice-1B is a 1.2B parameter base model trained on 100K hours of speech for TTS (text-to-speech). It has been built with the following priorities: * Emotional speech rhythm and tone in English. * Zero-shot cloning for American & British voices, with 30s reference audio. * Support for (cross-lingual) voice cloning with finetuning. * We have had success with as little as 1 minute training data for Indian speakers. * Synthesis of arbitrary length text
obsidian-smart-connections
Smart Connections is an AI-powered plugin for Obsidian that helps you discover hidden connections and insights in your notes. With features like Smart View for real-time relevant note suggestions and Smart Chat for chatting with your notes, Smart Connections makes it easier than ever to stay organized and uncover hidden connections between your notes. Its intuitive interface and customizable settings ensure a seamless experience, tailored to your unique needs and preferences.
models
This repository contains self-trained single image super resolution (SISR) models. The models are trained on various datasets and use different network architectures. They can be used to upscale images by 2x, 4x, or 8x, and can handle various types of degradation, such as JPEG compression, noise, and blur. The models are provided as safetensors files, which can be loaded into a variety of deep learning frameworks, such as PyTorch and TensorFlow. The repository also includes a number of resources, such as examples, results, and a website where you can compare the outputs of different models.
cl-waffe2
cl-waffe2 is an experimental deep learning framework in Common Lisp, providing fast, systematic, and customizable matrix operations, reverse mode tape-based Automatic Differentiation, and neural network model building and training features accelerated by a JIT Compiler. It offers abstraction layers, extensibility, inlining, graph-level optimization, visualization, debugging, systematic nodes, and symbolic differentiation. Users can easily write extensions and optimize their networks without overheads. The framework is designed to eliminate barriers between users and developers, allowing for easy customization and extension.
model.nvim
model.nvim is a tool designed for Neovim users who want to utilize AI models for completions or chat within their text editor. It allows users to build prompts programmatically with Lua, customize prompts, experiment with multiple providers, and use both hosted and local models. The tool supports features like provider agnosticism, programmatic prompts in Lua, async and multistep prompts, streaming completions, and chat functionality in 'mchat' filetype buffer. Users can customize prompts, manage responses, and context, and utilize various providers like OpenAI ChatGPT, Google PaLM, llama.cpp, ollama, and more. The tool also supports treesitter highlights and folds for chat buffers.