Instructions to use anyeZHY/3dvla-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anyeZHY/3dvla-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("anyeZHY/3dvla-diffusion", 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
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license: mit
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license: mit
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# 3D-VLA: A 3D Vision-Language-Action Generative World Model
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Model card for 3D-VLA
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<img src="https://vis-www.cs.umass.edu/3dvla/static/video/3dvla_arch.mp4" alt="Logo" width="90%">
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