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Coze open source local deployment tutorials, 10 minutes easy to get started with the full strategy
Coze open source , or Apache2.0 protocol open source , all can be free to download and deploy the use , as well as commercial . Coze open source two core projects, respectively, Coze Development Platform and Coze Loop. Coze Loop is an AI Agent development and operation and maintenance platform for developers, providing full life cycle management capabilities from development, debugging, evaluation to monitoring. The open source version is free to open the core functions, support Prompt debugging (including version management, visual comparison), multi-dimensional automated evaluation, full-link execution observation (Trace tracking) ...- 9.9k
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ComfyUI Deployment Tutorial, ComfyUI Installation Nanny Guide
If you are still using the traditional Stable Diffusion WebUI drawing, then you are really OUT! Now the hottest tool in the AI drawing circle - ComfyUI, has quietly from the hands of technical geeks "out of the circle", and become the dream of advanced players in the love package. This article is tailored for you to install ComfyUI nanny-level tutorials, from small white to old drivers, through and through! First, what is ComfyUI? ComfyUI, the full name is called this, its GitHub address is: https://github.com/c...- 10.5k
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Hunyuan DiT deployment experience, a cultural model with powerful Chinese creation capabilities
Hello everyone, I set a flag when introducing Tencent's open source Hunyuan-DiT Wenshengtu model: to publish a deployment tutorial, because my graphics card is 16G, which just meets the minimum video memory requirement. Some friends have left messages expressing their interest in this, so today, it is here! It should be noted that the computer graphics card required for this deployment must have a video memory of more than 11G. If you want to experience multiple rounds of dialogue, the video memory must be more than 32G. This tutorial will not go into details about the installation of graphics card drivers and Cuda. If you are interested, you can read my previous article: "Ubuntu22.04 …- 14k
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