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
Add pipeline tag
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by nielsr HF Staff - opened
README.md
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license: apache-2.0
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license: apache-2.0
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pipeline_tag: text-to-3d
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---
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Checkpoints for See3D: https://github.com/baaivision/See3D
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Project Page: https://vision.baai.ac.cn/see3d/
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Paper: https://huggingface.co/papers/2412.06699
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