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
- Xet hash:
- 877d626c9f87902dee6cfcec198d0c3a355375def5a15982dbaa820d11def183
- Size of remote file:
- 161 MB
- SHA256:
- 9267850db60e2b9e75b86dedacb6951b59106d035b25df6c42fa5d2a83f0d27f
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