This series will guide you through the process of deploying various AI applications using the Elastic Algorithm Service (EAS).
This article introduces how to quickly build a virtual clothes try-on services based on the Stable Diffusion models.
This article describes how to use an image to deploy the Stable Diffusion model as a web application in EAS, perform model inference with web UI and generate images based on text prompts.
This article describes how to deploy the open source Kohya_ss and train a Low-Rank Adaptation (LoRA) model by using the Kohya_ss in the EAS of PAI.
This article describes how to use Elastic Algorithm Service (EAS) of Platform for AI (AI) to deploy the Stable Diffusion (SD) API service and how to use SD APIs for model inference.
This article describes how to deploy a Llama 2 model or a fine-tuned model as a ChatLLM-WebUI application, start the web UI, and perform model inference by using API operations.
This article describes how to deploy a Stable Diffusion model and use the deployed application to perform model inference and generate images.
This article describes how to deploy an AI video generation application, related inference services and answers to FAQ during the deployment.
This article describes how to deploy a Hugging Face model in PAI EAS.
This article describes how to deploy a web application based on the open source model Tongyi Qianwen and perform model inference on the web page or using API operations in EAS of PAI.
This article describes how to quickly deploy a Llama 3 model and use the deployed web application in Elastic Algorithm Service (EAS) of Platform for AI (PAI).
This article describes how to deploy an LLM in EAS and call the model.
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