Instructions to use plasmo/vox2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plasmo/vox2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("plasmo/vox2", dtype=torch.bfloat16, device_map="cuda") prompt = "voxel-ish " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c4bbe1908fa058cb8b0d4dbafb5442b3fe94b2df22694532ff0be2335c1fb176
- Size of remote file:
- 2.13 GB
- SHA256:
- de170374222c5ed7d1411b05b62776e20758985f56bd734ccff844134781a008
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