depth-anything/DA3MONO-LARGE
depth-anything/DA3MONO-LARGE is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
What to verify before deployment
- Confirm the exact weight format and quantization.
- Measure memory at your intended context or image size.
- Review model-card limitations and evaluation methodology.
- Test latency and throughput on your target runtime.
Likely commercial-friendly
License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.
Verify at the source →More depth-estimation models
depth-anything/Depth-Anything-V2-Small-hf
depth-anything/Depth-Anything-V2-Small-hf is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
depth-anything/DA3METRIC-LARGE
depth-anything/DA3METRIC-LARGE is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
depth-anything/DA3-LARGE-1.1
depth-anything/DA3-LARGE-1.1 is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
depth-anything/DA3MONO-LARGE
depth-anything/DA3MONO-LARGE is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
depth-anything/DA3NESTED-GIANT-LARGE-1.1
depth-anything/DA3NESTED-GIANT-LARGE-1.1 is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
depth-anything/DA3-GIANT
depth-anything/DA3-GIANT is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Operate a GPU cloud or inference API?
Reach developers after they have selected a model and are ready to run it.