Instructions to use evgmaslov/diffusion-3d-material-conditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evgmaslov/diffusion-3d-material-conditional with Transformers:
# Load model directly from transformers import SeisFusion model = SeisFusion.from_pretrained("evgmaslov/diffusion-3d-material-conditional", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3d2f23e23d5474ec75d860826b9d2528f10ed0fb41eac7c43c4648ac2b13ca8
- Size of remote file:
- 539 MB
- SHA256:
- 4ef186b6f5c30acabef6a324c779a194a96ebe5a28e54fa9d643e982752d0ff6
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