Best AI tools for< Explore Image Library >

Artbreeder is an AI-powered platform that allows users to create characters, artworks, and more using multiple tools. With over 10 million users and 250 million images, Artbreeder offers tools like Composer for mixing images and text, Collager for creating images from simple shapes, and more. It fosters a unique network of creative collaboration where all images can be remixed by anyone, turning users into part of a creative super-organism.

StockCake is a website that provides free images for any occasion. The images are high-quality and can be used for personal or commercial purposes. The website also offers a variety of other features, such as a photo editor, a blog, and a community forum. StockCake is a great resource for anyone who needs high-quality images for their projects.

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.

Shugar.ai is an AI application that offers a range of features such as AI image generation, character creation, chat functionality, and a premium service. Users can explore various AI characters including realistic, anime, cartoon, and NSFW categories. The application also provides AI chat, roleplay, sexting, and virtual girlfriend/boyfriend experiences. Additionally, users can access a library of AI characters and create their own models. Shugar.ai aims to provide a diverse and interactive AI experience for its users.

Unreal Images is a website that provides free AI-generated images and photos. The images are shared by creators worldwide and can be used for a variety of purposes, including personal projects, commercial projects, and educational purposes. The website has a wide variety of images to choose from, including images of animals, people, places, and things. The images are high-quality and can be downloaded for free. The website also has a number of features that make it easy to find the images you need, including a search bar, a filter system, and a collection system.

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.

Videoleap is a powerful and easy-to-use video editor that offers a wide range of features, including AI-powered tools, to help you create stunning videos. With Videoleap, you can remove objects from videos, change video backgrounds, blur videos, add filters and effects, and more. You can also access a library of pre-made templates to get started quickly. Videoleap is available as an online video editor and as an iPhone and Android app.

Archade is an AI-powered marketplace that offers a wide range of creative assets for projects. It features an asset library with CAD blocks, vectors, cutouts, flat icons, and more. Users can also explore generative content through text-to-image generation. Archade aims to provide convenience and inspiration by offering a vast collection of assets for various projects, catering to both enterprise and startup solutions. The platform also provides updates, news, and technical support through its Discord channel.

CinematicInteriorAI is an AI-powered application that allows users to transform their living spaces into cinematic and artistic masterpieces inspired by movies, cartoons, and famous artists. Users can upload a photo of their room, select a preferred style, and let the AI work its magic to generate a redesigned room image. With a diverse style library and the ability to share and inspire others, CinematicInteriorAI offers unlimited creative possibilities for interior design enthusiasts.

DiffusionArt.co is a 100% free AI art generator that provides live access to hundreds of hosted stable diffusion models. It offers a curated library of opensource AI art models specializing in art, anime, and photorealistic image generation across various categories. Users can create and download unlimited art works without the need for sign-up, credits, or upgrades. The platform allows users to explore a variety of models using the same prompt to generate unique and amazing results, all of which are tested, reviewed, and free to use for personal and commercial projects.

Flux LoRA Model Library is an AI tool that provides a platform for finding and using Flux LoRA models suitable for various projects. Users can browse a catalog of popular Flux LoRA models and learn about FLUX models and LoRA (Low-Rank Adaptation) technology. The platform offers resources for fine-tuning models and ensuring responsible use of generated images.

Generated Photos is an AI-powered platform that offers worry-free model photos through the use of advanced AI-generated faces and full-body human models. Users can access a vast library of pre-generated diverse faces and humans that do not exist in reality. The platform caters to various industries such as advertising, design, marketing, research, and machine learning, providing high-quality and unique images for creative projects. With features like face and human generators, bulk download options, and API integration, Generated Photos simplifies the process of finding and creating custom visual content for different purposes.

Inspiring Instagram Captions is an AI-powered tool that helps users find perfect words to express their moments on Instagram. The tool offers a vast database of caption categories, allowing users to explore and filter captions based on tone, length, emojis, hashtags, and quotes. Users can also create visually appealing images using the tool's curated captions. Additionally, the tool features an AI Caption Generator that generates personalized captions based on input parameters, enhancing users' caption creation experience.

Prompt Hunt is a website that allows users to explore, create, and share AI art. It provides a variety of AI-powered tools and resources, including: - A library of pre-made AI art templates - A powerful AI model that can generate custom AI art from text prompts - A community of AI art enthusiasts who share their work and collaborate on projects - A marketplace where users can buy and sell AI art

Magicsnap is an AI-powered photo booth application that allows users to transform their selfies into movie character-inspired photos. With a simple process of uploading a single clear selfie, selecting a character from the library, and receiving the AI-generated photo within minutes, Magicsnap provides a fun and easy way to create unique and lifelike images without the need for makeup or costumes. The application boasts fast AI models optimized for quick results and ensures high-quality, 4K resolution photos. Since 2017, Magicsnap has been at the forefront of AI technology, delivering realistic results while prioritizing user convenience and creativity.

Runway is a platform that provides tools and resources for artists and researchers to create and explore artificial intelligence-powered creative applications. The platform includes a library of pre-trained models, a set of tools for building and training custom models, and a community of users who share their work and collaborate on projects. Runway's mission is to make AI more accessible and understandable, and to empower artists and researchers to create new and innovative forms of creative expression.

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.

Image AI is an all-in-one AI image platform that provides a wide range of AI image tools for users to create unlimited possibilities. Users can easily swap faces, convert photos to stickers, transform faces into different styles, restore blurry faces, upscale image resolution, reimagine existing images, recognize image content, convert text to images, remove backgrounds, watermarks, and text from images, and more. The platform offers high-quality results, easy-to-use interfaces, and smart AI technology for efficient and professional image editing.

PhotoGPT is an AI-powered tool that allows users to generate personalized and realistic images using artificial intelligence. It specializes in creating professional portraits and themed headshots for various purposes such as resume photos, Instagram profile pictures, and Tinder images. With PhotoGPT, users can explore different image generation themes like nightlife, cyberpunk, glamour, swimwear, and more. The tool is designed to help individuals create perfect headshots effortlessly and enhance their online presence with high-quality images.

FLUX AI Image Generator is a cutting-edge AI image generation model developed by Black Forest Labs. It offers state-of-the-art performance in prompt following, visual quality, image detail, and output diversity. The application provides multiple model variants, exceptional text rendering capabilities, complex composition mastery, improved hand rendering, and efficient performance. Users can access FLUX AI Image Generator through various platforms and benefit from its open-source availability for research and artistic purposes. The tool is continuously innovating to stay at the forefront of AI image generation technology.

Okay, here is a JSON object with the requested information about the awesome-cuda-tensorrt-fpga repository:

Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to increase the quality of trained models. The purpose of image augmentation is to create new training samples from the existing data.

At ZenML, we believe in the importance of annotation and labeling workflows in the machine learning lifecycle. This repository showcases a curated list of open-source data annotation and labeling tools that are actively maintained and fit for purpose. The tools cover various domains such as multi-modal, text, images, audio, video, time series, and other data types. Users can contribute to the list and discover tools for tasks like named entity recognition, data annotation for machine learning, image and video annotation, text classification, sequence labeling, object detection, and more. The repository aims to help users enhance their data-centric workflows by leveraging these tools.

Generative Models by Stability AI is a repository that provides various generative models for research purposes. It includes models like Stable Video 4D (SV4D) for video synthesis, Stable Video 3D (SV3D) for multi-view synthesis, SDXL-Turbo for text-to-image generation, and more. The repository focuses on modularity and implements a config-driven approach for building and combining submodules. It supports training with PyTorch Lightning and offers inference demos for different models. Users can access pre-trained models like SDXL-base-1.0 and SDXL-refiner-1.0 under a CreativeML Open RAIL++-M license. The codebase also includes tools for invisible watermark detection in generated images.

Stable Diffusion web UI is a web interface for Stable Diffusion, implemented using Gradio library. It provides a user-friendly interface to access the powerful image generation capabilities of Stable Diffusion. With Stable Diffusion web UI, users can easily generate images from text prompts, edit and refine images using inpainting and outpainting, and explore different artistic styles and techniques. The web UI also includes a range of advanced features such as textual inversion, hypernetworks, and embeddings, allowing users to customize and fine-tune the image generation process. Whether you're an artist, designer, or simply curious about the possibilities of AI-generated art, Stable Diffusion web UI is a valuable tool that empowers you to create stunning and unique images.

xef.ai is a one-stop library designed to bring the power of modern AI to applications and services. It offers integration with Large Language Models (LLM), image generation, and other AI services. The library is packaged in two layers: core libraries for basic AI services integration and integrations with other libraries. xef.ai aims to simplify the transition to modern AI for developers by providing an idiomatic interface, currently supporting Kotlin. Inspired by LangChain and Hugging Face, xef.ai may transmit source code and user input data to third-party services, so users should review privacy policies and take precautions. Libraries are available in Maven Central under the `com.xebia` group, with `xef-core` as the core library. Developers can add these libraries to their projects and explore examples to understand usage.

MFLUX is a line-by-line port of the FLUX implementation in the Huggingface Diffusers library to Apple MLX. It aims to run powerful FLUX models from Black Forest Labs locally on Mac machines. The codebase is minimal and explicit, prioritizing readability over generality and performance. Models are implemented from scratch in MLX, with tokenizers from the Huggingface Transformers library. Dependencies include Numpy and Pillow for image post-processing. Installation can be done using `uv tool` or classic virtual environment setup. Command-line arguments allow for image generation with specified models, prompts, and optional parameters. Quantization options for speed and memory reduction are available. LoRA adapters can be loaded for fine-tuning image generation. Controlnet support provides more control over image generation with reference images. Current limitations include generating images one by one, lack of support for negative prompts, and some LoRA adapters not working.

This is the official Clarifai gRPC Python client for interacting with their recognition API. Clarifai offers a platform for data scientists, developers, researchers, and enterprises to utilize artificial intelligence for image, video, and text analysis through computer vision and natural language processing. The client allows users to authenticate, predict concepts in images, and access various functionalities provided by the Clarifai API. It follows a versioning scheme that aligns with the backend API updates and includes specific instructions for installation and troubleshooting. Users can explore the Clarifai demo, sign up for an account, and refer to the documentation for detailed information.

The Enterprise Azure OpenAI Hub is a comprehensive repository designed to guide users through the world of Generative AI on the Azure platform. It offers a structured learning experience to accelerate the transition from concept to production in an Enterprise context. The hub empowers users to explore various use cases with Azure services, ensuring security and compliance. It provides real-world examples and playbooks for practical insights into solving complex problems and developing cutting-edge AI solutions. The repository also serves as a library of proven patterns, aligning with industry standards and promoting best practices for secure and compliant AI development.

MOOSE 2.0 is a leaner, meaner, and stronger tool for 3D medical image segmentation. It is built on the principles of data-centric AI and offers a wide range of segmentation models for both clinical and preclinical settings. MOOSE 2.0 is also versatile, allowing users to use it as a command-line tool for batch processing or as a library package for individual processing in Python projects. With its improved speed, accuracy, and flexibility, MOOSE 2.0 is the go-to tool for segmentation tasks.

Simple-OpenAI is a Java library that provides a simple way to interact with the OpenAI API. It offers consistent interfaces for various OpenAI services like Audio, Chat Completion, Image Generation, and more. The library uses CleverClient for HTTP communication, Jackson for JSON parsing, and Lombok to reduce boilerplate code. It supports asynchronous requests and provides methods for synchronous calls as well. Users can easily create objects to communicate with the OpenAI API and perform tasks like text-to-speech, transcription, image generation, and chat completions.

PandasAI is a Python library that makes it easy to ask questions to your data in natural language. It helps you to explore, clean, and analyze your data using generative AI.

Generative AI JS is a JavaScript library that provides tools for creating generative art and music using artificial intelligence techniques. It allows users to generate unique and creative content by leveraging machine learning models. The library includes functions for generating images, music, and text based on user input and preferences. With Generative AI JS, users can explore the intersection of art and technology, experiment with different creative processes, and create dynamic and interactive content for various applications.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

ModelFusion is an abstraction layer for integrating AI models into JavaScript and TypeScript applications, unifying the API for common operations such as text streaming, object generation, and tool usage. It provides features to support production environments, including observability hooks, logging, and automatic retries. You can use ModelFusion to build AI applications, chatbots, and agents. ModelFusion is a non-commercial open source project that is community-driven. You can use it with any supported provider. ModelFusion supports a wide range of models including text generation, image generation, vision, text-to-speech, speech-to-text, and embedding models. ModelFusion infers TypeScript types wherever possible and validates model responses. ModelFusion provides an observer framework and logging support. ModelFusion ensures seamless operation through automatic retries, throttling, and error handling mechanisms. ModelFusion is fully tree-shakeable, can be used in serverless environments, and only uses a minimal set of dependencies.

Unitxt is a customizable library for textual data preparation and evaluation tailored to generative language models. It natively integrates with common libraries like HuggingFace and LM-eval-harness and deconstructs processing flows into modular components, enabling easy customization and sharing between practitioners. These components encompass model-specific formats, task prompts, and many other comprehensive dataset processing definitions. The Unitxt-Catalog centralizes these components, fostering collaboration and exploration in modern textual data workflows. Beyond being a tool, Unitxt is a community-driven platform, empowering users to build, share, and advance their pipelines collaboratively.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

aiomisc is a Python library that provides a collection of utility functions and classes for working with asynchronous I/O in a more intuitive and efficient way. It offers features like worker pools, connection pools, circuit breaker pattern, and retry mechanisms to make asyncio code more robust and easier to maintain. The library simplifies the architecture of software using asynchronous I/O, making it easier for developers to write reliable and scalable asynchronous code.

VisionCraft API is a free tool that offers access to over 3000 AI models for generating images, text, and GIFs. Users can interact with the API to utilize various models like StableDiffusion, LLM, and Text2GIF. The tool provides functionalities for image generation, text generation, and GIF generation. For any inquiries or assistance, users can contact the VisionCraft team through their Telegram Channel, VisionCraft API, or Telegram Bot.

Please upload an image of a book you love, and I will analyze your taste to recommend other great reads. Plus, engage in fascinating discussions about these books. It's time for exploring and talking about books!

输入你要搜的关键词，或者丢一张图片，获取更多搜索灵感💡

Explore a wide range of shoe styles and learn about design with AI-generated images.

Containing The Entire Pokemon Universe | All Gen Pokemon, Items, Abilities, Berrys, Eggs, Region Details, Etc | Battle Simulation | Upload Image for Pokedex to ID | Fuse Pokemon | Explore || Type Menu to see full options.

A creative assistant for evolving visual concepts to extreme forms.

キーワードやコンテクストに基づいて、詳細な画像プロンプトを時間軸、文化軸、感情軸、現実と虚構軸など、多角的な視点を取り入れて、あなたのビジョンを忠実に再現します。

通过分析图片学习英语，提供双语描述。

Enhanced prompts for DALLE crafting sets of 3 improved images in various styles using special commands and frameworks. All infos ---> http://iga.eklablog.com/

From an attached image, the bot will generate a prompt to replicate the image in a digital art bot such as Midjourney or DALL-E

アップロードした画像のスタイルを教えてくれるよ！/ It'll tell you the style of the image you've uploaded!

Give me an image, and I'll tell you about your future . 📸🧐 It's a game. Let's try. :) If I can hallucinate, why not hallucinate your future. :P

Use DALL-E to create a family constellation image for an issue that has been troubling you.

Upload your image and be amazed by creative interior design ideas.

Upload any image and DALL-E will recreate it for you.

Craft Awesome Image Prompts For Midjourney!

Play any story as a character. You decide what to do next. AI generates a new image for each step to enhance immersion.

Art educator with image-enhanced quizzes.

Generates unique neologisms and optional image output.

Ever wonder what your favorite tunes are really saying? Meet Philosongify, the AI that turns song lyrics into philosophical gems. It’s simple, insightful, and a bit cheeky. Plus, you get a cool DALL-E image for each song. Let's unravel music's mysteries together

根据您从 [https://www.midjourney.com/explore] 挑选的，喜欢的图片的Midjourney Prompt和图片网址，生成最多4张相关图片的网址，以及提供小红书文案。