Image-to-3D
Diffusers
Safetensors
Hunyuan3DOmniImageTo3DPipeline
diffusers-3d
hunyuan3d-omni
3d
hunyuan3d
Instructions to use suvadityamuk/Hunyuan3D-Omni-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/Hunyuan3D-Omni-diffusers-3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("suvadityamuk/Hunyuan3D-Omni-diffusers-3d", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download control_encoder/config.json from suvadityamuk/Hunyuan3D-Omni-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 176 Bytes
-
https://huggingface.co/suvadityamuk/Hunyuan3D-Omni-diffusers-3d/resolve/main/control_encoder/config.json
- Command line
-
hf download hf://suvadityamuk/Hunyuan3D-Omni-diffusers-3d/control_encoder/config.json
-
curl -L -o config.json https://huggingface.co/suvadityamuk/Hunyuan3D-Omni-diffusers-3d/resolve/main/control_encoder/config.json
176 Bytes
| { | |
| "_class_name": "Hunyuan3DOmniControlEncoder", | |
| "_diffusers_version": "0.41.0.dev0", | |
| "num_freqs": 8, | |
| "num_type_tokens": 10, | |
| "voxel_resolution": 16, | |
| "width": 1024 | |
| } | |