Instructions to use evgmaslov/diffusion-3d-material with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evgmaslov/diffusion-3d-material with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("evgmaslov/diffusion-3d-material", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| library_name: diffusers | |
| UNet part of diffusion model provided to generate 3D polycrystal structures.\ | |
| Generation sample: | |
|  | |
| Project repo: https://github.com/evgmaslov/structure_generation \ | |
| Train code: https://github.com/evgmaslov/structure_generation/blob/main/train.ipynb \ | |
| Inference code: https://github.com/evgmaslov/structure_generation/blob/main/inference.ipynb | |