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Hugging FaceMishig DavaadorjExplainer
How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces
Summary
A coding agent built a 3D Paris gallery by chaining two Hugging Face Spaces: an image-generation Space produced dark-background monument images, and VAST-AI/TripoSplat reconstructed each single image as a 3D Gaussian splat. It then handled integration work by correcting the splats’ Y-down orientation, auto-framing monuments, compressing .ply files to .ksplat at about one-third the size, and building and deploying a static Three.js viewer. The Spaces’ agents.md files provided schemas, call and polling templates, file-upload instructions, and authentication guidance, allowing the agent to call them without a client library. The same pipeline produced six-monument galleries for Egypt and Japan after the prompts changed. The account presents callable, documented multimedia components as a way to reduce integration work and make new multimedia applications cheaper to create.
Context
Using state-of-the-art multimedia models traditionally involved integration work such as SDKs, model weights, GPUs, input formats, polling, and other setup. The post frames documented, callable components as a building-block economy that agents can assemble, with agents.md making Gradio Spaces reachable through plain-text instructions.
Approach / What changed
The agent chained an image-generation Space with VAST-AI/TripoSplat: prompts became monument images, which became single-image 3D Gaussian splats. It corrected Y-down output, auto-framed and compressed the files, built a Three.js viewer with scroll-to-switch and drag-to-rotate controls, deployed a static Space, and reused the pipeline for Egypt and Japan.
Takeaways
agents.md provides API schemas, call and polling templates, upload instructions, and authentication guidance for Gradio Spaces, so an agent can operate a Space without a client library.
The gallery pipeline converts generated images into single-image 3D Gaussian splats, then corrects Y-down orientation, auto-frames the results, and compresses .ply files to .ksplat files that are about three times smaller.
The same two Spaces were reused for Egypt and Japan by changing the prompts, producing six images, six splats, compression, a viewer, and a deployed Space for each country.
Source and freshness
- Source
- huggingface.co
- Published
- Added to Yomu
- Last updated
Summaries are generated from the original by a language model. Check the original before relying on it.
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