Instructions to use bruiiii/See3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bruiiii/See3D with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bruiiii/See3D", 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:
- f68f057572d851b89c70adbc71e24b010b2027de5d5aa1d1f5f8315553355fc2
- Size of remote file:
- 537 MB
- SHA256:
- f1bf02f6de658757cdf1cdb037aa3d3706a0665e3dd123a973d207f85e31949d
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