This repository provides a Chinese-language version of Visual ChatGPT, a system that integrates large language models with visual foundation models. It enables users to perform tasks beyond text-based Q&A, including image Q&A, image generation, and image editing, making it a versatile tool for creative and analytical visual tasks.

How It Works

The system leverages a modular architecture, allowing users to load various visual foundation models (e.g., Image Captioning, Text-to-Image, Image Editing) alongside a language model. Users can specify which models to load and on which devices (GPU or CPU), offering flexibility for different hardware configurations. This approach allows for a unified interface to interact with multiple specialized AI models for diverse visual tasks.

Quick Start & Requirements

• Install: Clone the repository, create a Conda environment (conda create -n visgpt python=3.8), activate it (conda activate visgpt), and install dependencies (pip install -r requirement.txt).
• Prerequisites: Requires an OpenAI API key. Models need to be downloaded separately using download_hf_models.sh.
• Usage: Run the system with python visual_chatgpt_zh.py --load <models> --pretrained_model_dir <path>. Users can specify model loading on CPU or specific CUDA devices for memory management.
• Links: Official Paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.

Highlighted Details

• Supports Chinese language for all functionalities.
• Offers flexible model loading across CPU and GPU devices to manage memory constraints.
• Integrates with various visual foundation models like ControlNet and Stable Diffusion.
• Provides detailed technical explanations and setup guides in the README.

Maintenance & Community

The project acknowledges contributions from HuggingFace, ControlNet, and Stable Diffusion. Further community or maintenance details are not explicitly provided in the README.

Licensing & Compatibility

The README does not explicitly state a license. It acknowledges other projects, which may have their own licenses. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The project requires significant disk space for downloaded models and can be resource-intensive, potentially needing substantial GPU memory for optimal performance, although CPU offloading is supported. The specific version of Python required is 3.8.