Modly setup: image-to-3D generation through its API

This tutorial covers Modly, an open source 3D generation app identified in the supplied metadata. The speaker demonstrates its API on Kaggle GPUs rather than installing the desktop interface. The metadata describes generation from photos or text prompts; the walkthrough focuses on turning images into meshes.

Model extensions are central to the setup. The video discusses Hunyuan3D Mini, Tripo3D and Trellis 2, with headphone and car examples. The speaker describes the results as detailed and quick to generate, but these are assessments of the demonstrated outputs rather than a benchmark. Extensions let users choose a model and access generation through an API, which the speaker also suggests running on a VPS for a self-hosted workflow.

The installation walkthrough separates extensions, model files and workspace outputs. Each extension needs its own dependencies. The speaker reports problems with setup.py on Kaggle and explains converting dependency information into a requirements file for manual installation. Electron is discussed as a requirement for the desktop version.

The Python REST service runs on port 8765. The final steps check service health, list available models, and submit an image path with a chosen model to generate a GLB file. Although Modly supports local AI use, this demonstration uses a hosted Kaggle environment.