Instructions to use jadechoghari/vfusion3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jadechoghari/vfusion3d with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jadechoghari/vfusion3d", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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Getting started with VFusion3D is super easy! 🤗 Here’s how you can use the model with Hugging Face:
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### Load model directly
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```python
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import torch
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Getting started with VFusion3D is super easy! 🤗 Here’s how you can use the model with Hugging Face:
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### Install Dependencies (Optional)
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Depending on your needs, you may want to enable specific features like mesh generation or video rendering. We've got you covered with these additional packages:
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```bash
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!pip --quiet install imageio[ffmpeg] PyMCubes trimesh rembg[gpu,cli] kiui
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```
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### Load model directly
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```python
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import torch
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