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AIGC Best Practices Summary

Overview of AIGC Applications

This summary covers 8 key AIGC best practices focusing on AI-generated content using Alibaba Cloud GPU servers and various AI models. The practices span text, image, video, and 3D generation, emphasizing efficient deployment with tools like AIACC acceleration.

Text Generation

• Personal Conversation Model: Instructions for building a dialog AI using the Alpaca language model on Cloud GPU servers, including setup, model download, and web deployment.
• LLaMA-7B Fine-Tuning: Details on using DeepSpeed and AIACC to accelerate training of LLaMA models for instruction-following in tasks like dialogue generation.
• GPT-2 Training: Guide for training and generating text using Megatron-Deepspeed framework, including data preprocessing and generation scripts.

Image Generation

• AIGC Painting: Methods for text-to-image generation using Stable Diffusion models with AIACC-Torch for performance optimization, supporting multi-model testing and accessibility.
• Custom Object Generation: Techniques for fine-tuning Stable Diffusion with DreamBooth and ControlNet to create specific images, leveraging AIACC-AGSpeed for speed improvements.

Video and 3D Generation

• Text-to-Video: Steps for generating videos from text descriptions using specialized models, including download and deployment.
• 3D Model Generation: Process for creating 3D models from text inputs by integrating with HRN face reconstruction and Stable Diffusion for visualization.

Additional Details

• Each practice includes background information, operational steps, and performance benchmarks with AIACC acceleration, ensuring quick and efficient AIGC application development.