AIdea is a cross-platform application for AI-powered chat and image generation, supporting popular large language models (LLMs) like GPT, Tongyi Qianwen, and Wenxin Yiyan, alongside Stable Diffusion for text-to-image, image-to-image, SDXL 1.0, super-resolution, and colorization. It targets users seeking an integrated, versatile AI assistant and creative tool, offering a unified interface for diverse AI tasks.

How It Works

Developed using Flutter for a consistent cross-platform experience, AIdea integrates various AI models through its backend services. This architecture allows for easy expansion to support new LLMs and image generation models without altering the client application. The use of Flutter enables rapid development and deployment across mobile, desktop (macOS, Windows), and potentially web platforms.

Quick Start & Requirements

• Client: Download from https://aidea.aicode.cc.
• Self-hosting Server: Clone https://github.com/mylxsw/aidea-server and follow deployment instructions. Docker deployment available at https://github.com/mylxsw/aidea-docker.
• Development: Requires Flutter and Go environments. Refer to provided setup tutorials for frontend and backend. Note that Flutter compilation can be unstable across versions.

Highlighted Details

• Supports multiple LLMs (GPT, Tongyi Qianwen, Wenxin Yiyan) and advanced Stable Diffusion features (SDXL 1.0, super-resolution, colorization).
• Cross-platform native applications for mobile (iOS/Android) and desktop (macOS, Windows).
• Open-source client and server codebases for self-hosting and customization.
• Flutter framework enables a unified UI/UX across all supported platforms.

Maintenance & Community

• Active development, with the main branch representing v2. For stable self-deployment, checkout the v1.x branch.
• Technical exchange via WeChat group (contact x-prometheus).

Licensing & Compatibility

• License: MIT.
• Compatibility: Permissive MIT license allows for commercial use and integration with closed-source projects.

Limitations & Caveats

Flutter compilation can be prone to failures due to version changes, requiring careful environment management. The project is actively under development, with the main branch (v2) being in a development state.