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
Commit History
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Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (70a5081c47b8414347acf2908bb3c3e70702f4f1) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>2ad0c2f
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Upload scheduler with huggingface_hub
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