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:
- 21ecffa33900de55eb1a06fd420f1a35d2266e3f0d9631e9b0176143b5374d3b
- Size of remote file:
- 161 MB
- SHA256:
- 68ee1c64961cde528021445c8324e5bb47918f0a0a3f967466f082c66e25f26e
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