This topic lists the use cases of Elastic Algorithm Service (EAS) of Platform for AI (PAI).
LLM
Case | Description |
This topic describes how to use EAS of PAI to deploy a large language model (LLM) as an AI-powered web application. After you deploy the LLM, you can call the application by using the web UI or API operations. | |
This topic describes how to deploy a chat application that is powered by a Llama 2 Chat model and start the application by using the web UI or API operations. |
AIGC
Case | Description |
This topic describes how to deploy an AI video generation application powered by ComfyUI and Stable Video Diffusion models in EAS. You can quickly implement an AI-powered text-to-video solution that helps you complete tasks such as generating short videos or animation on social platforms. | |
This topic describes how to deploy the Stable Diffusion model as a web application in EAS, perform model inference with the web application and generate images based on text prompts. | |
This topic describes how to use EAS to deploy and call an SD API service. | |
This topic describes how to deploy open source Kohya_ss and train a Low-Rank Adaptation (LoRA) model by using Kohya_ss in EAS. This topic also describes how to apply the trained LoRA model in the Stable Diffusion service. |
General use cases
Case | Description |
This topic describes how to deploy a Hugging Face model in EAS. | |
This topic describes examples and the SDK for Python for calling services in EAS. |