Instructions to use flamehaze1115/Wonder3D_plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flamehaze1115/Wonder3D_plus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("flamehaze1115/Wonder3D_plus", 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:
- cc94a4789bc2e20b3972c9f5fea006fba6a386841dea95356caff4834c7a1c87
- Size of remote file:
- 608 MB
- SHA256:
- 40be8734e66d0b9f24484226f0dcdeec90872a0e996697fb68a52fd83263a7e6
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