bench-labs/VoxelModel-v1
bench-labs/VoxelModel-v1 is a text to 3d 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 text-to-3d models
bench-labs/VoxelModel-v1
bench-labs/VoxelModel-v1 is a text to 3d model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
dmolino/text2ct-weights
dmolino/text2ct-weights is a text to 3d model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
pixofix/BlenderLLM
pixofix/BlenderLLM is a text to 3d model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
vpyr/TRELLIS-text-xlarge
vpyr/TRELLIS-text-xlarge is a text to 3d model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
adarsh-ai-2026/adarshmanav-ai
adarsh-ai-2026/adarshmanav-ai is a text to 3d model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Daanxxxegb/stable-zero123
Daanxxxegb/stable-zero123 is a text to 3d 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.