If I were to summarize this model in 2 words, it's MINIMAL and OPEN.

Highlights:

• Minimal: Near-zero dependencies — This is huge for practical integration. Most competing models drag in transformers, diffusers, and a web of version-pinned libraries that constantly break each other. TripoSplat only needs numpy, safetensors, pillow, and tqdm. That means you can drop it into almost any existing Python environment without dependency hell.
• Simple: ~2,000 lines of code across 2 files — Most 3D gen codebases are sprawling, hard to modify, and poorly documented. Here, customizing the pipeline or integrating it into your own system is actually feasible without days of archaeology.
• Truly Open Source: MIT License on both code and weights — Many comparable models (e.g. from larger labs) have non-commercial or research-only restrictions. MIT means you can ship this in a product.

System Requirements

• Around 8GB VRAM
• NVIDIA GPU only

Gradio app

1. upload an image
2. generate 3d
3. download the generated 3d in .ply files