Instructions to use facebook/vfusion3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/vfusion3d with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("facebook/vfusion3d", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "LRMGenerator" | |
| ], | |
| "model_type": "lrm_generator", | |
| "model_name_or_path": "jadechoghari/vfusion3d", | |
| "camera_embed_dim": 1024, | |
| "encoder_feat_dim": 768, | |
| "encoder_freeze": false, | |
| "encoder_model_name": "facebook/dinov2-base", | |
| "model_type": "lrm_generator", | |
| "rendering_samples_per_ray": 128, | |
| "torch_dtype": "float32", | |
| "transformer_dim": 1024, | |
| "transformer_heads": 16, | |
| "transformer_layers": 16, | |
| "transformers_version": "4.42.4", | |
| "triplane_dim": 80, | |
| "triplane_high_res": 64, | |
| "triplane_low_res": 32, | |
| "auto_map": { | |
| "AutoConfig": "modeling.LRMGeneratorConfig", | |
| "AutoModel": "modeling.LRMGenerator", | |
| "AutoImageProcessor": "processor.LRMImageProcessor" | |
| }, | |
| "preprocessor_class": "LRMImageProcessor" | |
| } | |