How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces
Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.
An AI agent created a 3D gallery of Paris monuments by chaining two Hugging Face Spaces—one for generating images and another for 3D reconstruction—without manual intervention. The process highlights how AI can seamlessly integrate specialized tools, showcasing the potential of modular, agent-driven workflows in multimedia creation. The result is a live, interactive gallery built entirely through automated calls to these Spaces.
A Hugging Face engineer demonstrated how an AI coding agent autonomously built a 3D gallery of Paris monuments by chaining together two Hugging Face Spaces—one generating images from text prompts, another converting those images into 3D Gaussian splats. The agent integrated the tools without manual coding by reading each Space's "agents.md" file, which provides the schema and instructions needed to call and chain them. The author frames this as a preview of a "building block economy" in which agents assemble multimedia software from documented, callable components rather than building from scratch.