AI tools for poster
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MidJourney Prompts Bundle
MidJourney Prompts Bundle is an AI tool designed to help users create professional watercolor art effortlessly. With over 3150 high-demand ready-to-use watercolor prompts, users can unlock their creativity and become top-selling AI artists overnight. The tool offers a vast collection of prompts across various categories, allowing users to customize and edit each prompt to suit their unique creative needs. Compatible with popular AI tools like MidJourney, DALL-E, and more, this tool enables users to generate high-quality images in various styles and join thousands of creators profiting from AI art.
Remo
Remo is an all-in-one online event solution that allows users to host immersive virtual events with real connections and engagement. The platform offers a variety of event types, including virtual conferences, webinars, career fairs, trade shows, and exhibitions. Remo provides features such as virtual event networking, webinar presentations, attendee experiences, event planning tools, AI matchmaking, and more. With Remo, users can create visually stunning, branded venues and boost attendee engagement by 3.2x compared to other virtual solutions. The platform is trusted by over 1000 organizations worldwide and offers simple, affordable pricing for every event.
Redesign With AI
Redesign With AI is an online platform that leverages artificial intelligence to make design easier and more creative. It offers users the ability to generate high-quality design images quickly, saving time and money compared to hiring a professional designer. The platform provides intuitive interfaces for users with varying levels of design experience, allowing unlimited creativity and experimentation with various ideas. Redesign With AI has received positive feedback from users who have found it helpful in creating unique designs for websites, apps, posters, stickers, and more.
PosterPal | Make your own posters! 🎨
I'll turn your crazy artwork ideas into posters, shipped straight to your door.
gzm-design
Gzm Design is a free and open-source poster designer developed using the latest mainstream technologies such as Vue3, Vite4, TypeScript, etc. It provides features like PSD import, JSON import, multiple pages support, shortcut key support, template import, layer management, ruler tool, pen tool, element editing, preview, file download, canvas zooming and dragging, border stroke, filling, blending modes, text formatting, group handling, canvas size modification, rich text support, masking, shadow effects, undo/redo functionality, QR code tool, barcode tool, and ruler line npm package encapsulation.
aitools_client
Seth's AI Tools is a Unity-based front-end that interfaces with various AI APIs to perform tasks such as generating Twine games, quizzes, posters, and more. The tool is a native Windows application that supports features like live update integration with image editors, text-to-image conversion, image processing, mask painting, and more. It allows users to connect to multiple servers for fast generation using GPUs and offers a neat workflow for evolving images in real-time. The tool respects user privacy by operating locally and includes built-in games and apps to test AI/SD capabilities. Additionally, it features an AI Guide for creating motivational posters and illustrated stories, as well as an Adventure mode with presets for generating web quizzes and Twine game projects.
reComputer-Jetson-for-Beginners
The reComputer Jetson Orin Beginner Guide is a comprehensive resource designed to help developers explore and harness the powerful AI computing capabilities of the NVIDIA Jetson Orin platform. The guide covers a wide range of topics, from basic tools and getting started to advanced applications in computer vision, generative AI, robotics, and more. With step-by-step tutorials and hands-on projects, users can learn to master NVIDIA's core technologies and popular AI frameworks, enabling them to innovate in AI and robotics. The guide is suitable for beginners looking to dive into AI development and build cutting-edge projects with Jetson Orin.
Atom
Atom is an accurate low-bit weight-activation quantization algorithm that combines mixed-precision, fine-grained group quantization, dynamic activation quantization, KV-cache quantization, and efficient CUDA kernels co-design. It introduces a low-bit quantization method, Atom, to maximize Large Language Models (LLMs) serving throughput with negligible accuracy loss. The codebase includes evaluation of perplexity and zero-shot accuracy, kernel benchmarking, and end-to-end evaluation. Atom significantly boosts serving throughput by using low-bit operators and reduces memory consumption via low-bit quantization.
ollama-ex
Ollama is a powerful tool for running large language models locally or on your own infrastructure. It provides a full implementation of the Ollama API, support for streaming requests, and tool use capability. Users can interact with Ollama in Elixir to generate completions, chat messages, and perform streaming requests. The tool also supports function calling on compatible models, allowing users to define tools with clear descriptions and arguments. Ollama is designed to facilitate natural language processing tasks and enhance user interactions with language models.
Adobe-Illustrator-And-Generative-AI-2024
Adobe Illustrator And Generative AI 2024 is a repository offering Adobe Illustrator CC for free as part of a creative toolkit. It provides legal and free access to the 2024 edition of Adobe Illustrator, a standard tool for designing vector graphics and digital illustrations. The repository includes information on installation, setup, and the main functions of Adobe Illustrator, such as creating digital illustrations, logo design, infographics, print design, publication design, web element design, and user interface design. It also lists the technical requirements, language options, license details, and the latest update date.
ParrotServe
Parrot is a distributed serving system for LLM-based Applications, designed to efficiently serve LLM-based applications by adding Semantic Variable in the OpenAI-style API. It allows for horizontal scalability with multiple Engine instances running LLM models communicating with ServeCore. The system enables AI agents to interact with LLMs via natural language prompts for collaborative tasks.
monitors4codegen
This repository hosts the official code and data artifact for the paper 'Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context'. It introduces Monitor-Guided Decoding (MGD) for code generation using Language Models, where a monitor uses static analysis to guide the decoding. The repository contains datasets, evaluation scripts, inference results, a language server client 'multilspy' for static analyses, and implementation of various monitors monitoring for different properties in 3 programming languages. The monitors guide Language Models to adhere to properties like valid identifier dereferences, correct number of arguments to method calls, typestate validity of method call sequences, and more.
AQLM
AQLM is the official PyTorch implementation for Extreme Compression of Large Language Models via Additive Quantization. It includes prequantized AQLM models without PV-Tuning and PV-Tuned models for LLaMA, Mistral, and Mixtral families. The repository provides inference examples, model details, and quantization setups. Users can run prequantized models using Google Colab examples, work with different model families, and install the necessary inference library. The repository also offers detailed instructions for quantization, fine-tuning, and model evaluation. AQLM quantization involves calibrating models for compression, and users can improve model accuracy through finetuning. Additionally, the repository includes information on preparing models for inference and contributing guidelines.
commanddash
Dash AI is an open-source coding assistant for Flutter developers. It is designed to not only write code but also run and debug it, allowing it to assist beyond code completion and automate routine tasks. Dash AI is powered by Gemini, integrated with the Dart Analyzer, and specifically tailored for Flutter engineers. The vision for Dash AI is to create a single-command assistant that can automate tedious development tasks, enabling developers to focus on creativity and innovation. It aims to assist with the entire process of engineering a feature for an app, from breaking down the task into steps to generating exploratory tests and iterating on the code until the feature is complete. To achieve this vision, Dash AI is working on providing LLMs with the same access and information that human developers have, including full contextual knowledge, the latest syntax and dependencies data, and the ability to write, run, and debug code. Dash AI welcomes contributions from the community, including feature requests, issue fixes, and participation in discussions. The project is committed to building a coding assistant that empowers all Flutter developers.
xlstm
xLSTM is a new Recurrent Neural Network architecture based on ideas of the original LSTM. Through Exponential Gating with appropriate normalization and stabilization techniques and a new Matrix Memory it overcomes the limitations of the original LSTM and shows promising performance on Language Modeling when compared to Transformers or State Space Models. The package is based on PyTorch and was tested for versions >=1.8. For the CUDA version of xLSTM, you need Compute Capability >= 8.0. The xLSTM tool provides two main components: xLSTMBlockStack for non-language applications or integrating in other architectures, and xLSTMLMModel for language modeling or other token-based applications.
Mercury
Mercury is a code efficiency benchmark designed for code synthesis tasks. It includes 1,889 programming tasks of varying difficulty levels and provides test case generators for comprehensive evaluation. The benchmark aims to assess the efficiency of large language models in generating code solutions.
awesome-llm-security
Awesome LLM Security is a curated collection of tools, documents, and projects related to Large Language Model (LLM) security. It covers various aspects of LLM security including white-box, black-box, and backdoor attacks, defense mechanisms, platform security, and surveys. The repository provides resources for researchers and practitioners interested in understanding and safeguarding LLMs against adversarial attacks. It also includes a list of tools specifically designed for testing and enhancing LLM security.
nagato-ai
Nagato-AI is an intuitive AI Agent library that supports multiple LLMs including OpenAI's GPT, Anthropic's Claude, Google's Gemini, and Groq LLMs. Users can create agents from these models and combine them to build an effective AI Agent system. The library is named after the powerful ninja Nagato from the anime Naruto, who can control multiple bodies with different abilities. Nagato-AI acts as a linchpin to summon and coordinate AI Agents for specific missions. It provides flexibility in programming and supports tools like Coordinator, Researcher, Critic agents, and HumanConfirmInputTool.
multilspy
Multilspy is a Python library developed for research purposes to facilitate the creation of language server clients for querying and obtaining results of static analyses from various language servers. It simplifies the process by handling server setup, communication, and configuration parameters, providing a common interface for different languages. The library supports features like finding function/class definitions, callers, completions, hover information, and document symbols. It is designed to work with AI systems like Large Language Models (LLMs) for tasks such as Monitor-Guided Decoding to ensure code generation correctness and boost compilability.
xlstm-jax
The xLSTM-jax repository contains code for training and evaluating the xLSTM model on language modeling using JAX. xLSTM is a Recurrent Neural Network architecture that improves upon the original LSTM through Exponential Gating, normalization, stabilization techniques, and a Matrix Memory. It is optimized for large-scale distributed systems with performant triton kernels for faster training and inference.
SheetCopilot
SheetCopilot is an assistant agent that manipulates spreadsheets by following user commands. It leverages Large Language Models (LLMs) to interact with spreadsheets like a human expert, enabling non-expert users to complete tasks on complex software such as Google Sheets and Excel via a language interface. The tool observes spreadsheet states, polishes generated solutions based on external action documents and error feedback, and aims to improve success rate and efficiency. SheetCopilot offers a dataset with diverse task categories and operations, supporting operations like entry & manipulation, management, formatting, charts, and pivot tables. Users can interact with SheetCopilot in Excel or Google Sheets, executing tasks like calculating revenue, creating pivot tables, and plotting charts. The tool's evaluation includes performance comparisons with leading LLMs and VBA-based methods on specific datasets, showcasing its capabilities in controlling various aspects of a spreadsheet.
byteir
The ByteIR Project is a ByteDance model compilation solution. ByteIR includes compiler, runtime, and frontends, and provides an end-to-end model compilation solution. Although all ByteIR components (compiler/runtime/frontends) are together to provide an end-to-end solution, and all under the same umbrella of this repository, each component technically can perform independently. The name, ByteIR, comes from a legacy purpose internally. The ByteIR project is NOT an IR spec definition project. Instead, in most scenarios, ByteIR directly uses several upstream MLIR dialects and Google Mhlo. Most of ByteIR compiler passes are compatible with the selected upstream MLIR dialects and Google Mhlo.
veScale
veScale is a PyTorch Native LLM Training Framework. It provides a set of tools and components to facilitate the training of large language models (LLMs) using PyTorch. veScale includes features such as 4D parallelism, fast checkpointing, and a CUDA event monitor. It is designed to be scalable and efficient, and it can be used to train LLMs on a variety of hardware platforms.
storm
STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**