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
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# Model Card for Model ID
Diffusion model designed to reconstruct 3D polycrystal structures from 2D views. Illustration below shows how model works:

Approach is based on [this article](https://arxiv.org/abs/2403.11482).\
Inference code is available [here](https://github.com/evgmaslov/structure_generation/blob/main/inference_seis_fusion.ipynb). |