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Story-Adapter: Generate continuous and consistent image illustrations based on long stories-Chief AI Sharing Circle

Story-Adapter: generating continuous and consistent graphic illustrations based on a long story

Comprehensive Introduction Story-Adapter is an innovative story visualization framework that converts textual stories into coherent image sequences. Developed by researchers, this project employs an iterative approach that requires no training to generate high-quality story illustrations. The framework is characterized by its ability to handle long stories, maintain...

Byte Jump's free programming assistant, Trae, is open for Windows download! Everyone can develop their own gadgets, the era of universal programming is coming!

China's Cursor ! Byte Jump launches Trae with powerful AI models like Claude 3.5 Sonnet and GPT-4o built-in! Want to batch watermark images with one click? Want to customize your own Excel automation scripts? Want to build an online resume website in ten minutes? Trae AI can help you realize all these for free! Experience Trae AI without any programming foundation, and let AI help you develop utilities easily and increase efficiency by 10 times! Click on the free trial, say goodbye to duplication of labor, welcome the explosion of efficiency, so that your ability to instantly realize!

GitDiagram: visualize GitHub codebase structure, convert code repository to interactive system architecture diagram - Chief AI Sharing Circle

GitDiagram: Visualize the structure of your GitHub codebase and turn your code repository into an interactive system architecture diagram.

General Introduction GitDiagram is an innovative GitHub codebase visualization tool that quickly transforms any GitHub repository into an interactive system architecture diagram. It uses advanced AI technology (Claude 3.5 Sonnet) to provide developers with a new way to view and understand their codebase. Users only ...

ElizaOS: Building Autonomously Executing Multi-Intelligence, Fully Functional Open Source AI Intelligence Development Framework - Chief AI Sharing Circle

ElizaOS: Building Autonomously Executing Multi-Intelligents, a Fully Functional Open Source AI Intelligent Body Development Framework

General Introduction Eliza is an advanced Multi-Agent development framework , is committed to simplifying the construction and deployment of Autonomous Agent (Autonomous Agent) process . It supports the deployment of multiple Intelligent Agents with different roles , which can realize the collaboration and interaction between Intelligent Agents . The system integrates a complete Di...

Aiarty Image Matting: professional AI image keying, accurate background removal, license-free installer - Chief AI Sharing Circle

Aiarty Image Matting: professional AI image keying, accurate background removal, license-free installer

Comprehensive Introduction AIARTY AI Image Keying is an advanced AI image processing software designed for e-commerce, design and photography fields. The software utilizes state-of-the-art AI technology to accurately remove image backgrounds, process details such as complex hairs and translucent objects, and seamlessly blend foreground and background. No...

Cline+MCP Rapidly Creates Agent Workflow: Practical Case Analysis-Chief AI Sharing Circle

Cline+MCP Rapidly Creates Agent Workflows: Real-World Case Studies

With the continuous progress of artificial intelligence technology, there is an increasing demand for building personalized intelligent bodies. Although there are already some intelligent body platforms in China, such as Doubao Buckle, these platforms require developers to upload their code and data to third-party servers, which may be a good practice for some customers with sensitive business information...

How to Choose the Best Embedding Model for RAG Applications - Chief AI Sharing Circle

How to choose the best Embedding model for a RAG application

Vector Embedding is the core of current Retrieval Augmented Generation (RAG) applications. They capture semantic information of data objects (e.g., text, images, etc.) and represent them as arrays of numbers. In current generative AI applications, these vector Embedding are usually generated by Embedding models. How to apply for RAG ...

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