Instructions to use tencent/Hunyuan3D-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Hunyuan3D-2
How to use tencent/Hunyuan3D-1 with Hunyuan3D-2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download mvd_std/feature_extractor_vae/preprocessor_config.json from tencent/Hunyuan3D-1: direct link, hf CLI and curl.
- Browser
- Download file 369 Bytes
-
https://huggingface.co/tencent/Hunyuan3D-1/resolve/main/mvd_std/feature_extractor_vae/preprocessor_config.json
- Command line
-
hf download hf://tencent/Hunyuan3D-1/mvd_std/feature_extractor_vae/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/tencent/Hunyuan3D-1/resolve/main/mvd_std/feature_extractor_vae/preprocessor_config.json
369 Bytes
| { | |
| "crop_size": { | |
| "height": 512, | |
| "width": 512 | |
| }, | |
| "do_center_crop": true, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": 0.5, | |
| "image_processor_type": "CLIPImageProcessor", | |
| "image_std": 0.5, | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "shortest_edge": 512 | |
| } | |
| } | |