AI Dockers

Hugging Face spaces allow us to run models with very simple demos, but what if the demo breaks? Or if the user deletes it? That's why I've created docker containers with some interesting spaces, to be able to use them locally, whatever happens. In fact, if you click on any project view button, it may take you to a space that doesn't work.

Flow edit

FLUX.1-RealismLora

token_hmr

tooncrafter

marker_api

brushnet

ml_mgie

cosxl

zest

ani_portrait

moondream2

idm_vton

singing_songstarter

tango2

face_to_all

sadtalker

voice_craft

coqui_tts

dynamicrafter

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MCP: Complete Guide to Create servers and clients MCP (Model Context Protocol) with FastMCP

Learn what is the Model Context Protocol (MCP), the open-source standard developed by Anthropic that revolutionizes how AI models interact with external tools. In this practical and detailed guide, I take you step by step in creating an MCP server and client from scratch using the fastmcp library. You will build an "intelligent" AI agent with Claude Sonnet, capable of interacting with the GitHub API to query issues and repository information. We will cover from basic concepts to advanced features like filtering tools by tags, server composition, static resources and dynamic templates (resource templates), prompt generation, and secure authentication. Discover how MCP can standardize and simplify the integration of tools in your AI applications, analogously to how USB unified peripherals!