DETAILED_MODEL_ANALYSIS

Depth Pro Local AI Setup

Single image โ†’ metrically accurate 3D depth map in under 0.3 seconds. Free for research use. Powers 3D scene reconstruction, bokeh simulation, and AR/VR depth estimation pipelines without any calibration data.

How to Run Depth Pro Locally

$ ollama run depth-pro

Deployment Check

This model requires a specialized High-VRAM environment. Ensure you have the latest CUDA Drivers or Metal Framework installed.


Minimum VRAM: 6GB VRAM Recommended

Origins & History

The Depth Pro model by Apple is a 300M parameter architecture optimized for vision tasks. It requires approximately 4GB of VRAM to comfortably run locally using a FP16 quantization. Extending the context window up to 0 tokens will dynamically allocate further VRAM, meaning high-bandwidth memory hardware is strictly advised.

Pros

  • Full privacy and offline inference capabilities
  • Highly capable 300M parameter structure
  • Supports impressive 0 token context window

Cons

  • Requires 4GB+ VRAM minimum
  • Local inference speed depends entirely on memory bandwidth (GB/s)

Architect's Runtime Strategy

For running Depth Pro at maximum tokens-per-second, we recommend using LM Studio or Ollama with a GGUF quantization (Q4_K_M or Q6_K). If you are multi-GPU, use vLLM to distribute the layers across your VRAM pool for optimal throughput.

Common Questions

What hardware do I need to run Depth Pro?

You will need a GPU with at least 6GB of VRAM to run the FP16 quantized version smoothly with a moderate context window.

How do I install Depth Pro locally?

The simplest method is utilizing Ollama by executing 'ollama run depth-pro' directly in your command line. Alternatively, you can search for the model via LM Studio's interface.