Instructions to use DhruvDecoder/model_3d_diffuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DhruvDecoder/model_3d_diffuser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DhruvDecoder/model_3d_diffuser", 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:
- c1f1bfe1e7948c1cacd9fed699bf9be2e5f10e215d056b586aa29111cb0a5902
- Size of remote file:
- 681 MB
- SHA256:
- bc1827c465450322616f06dea41596eac7d493f4e95904dcb51f0fc745c4e13f
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