Instructions to use ZeyuLing/vermo_vqvae_smpl_4375 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZeyuLing/vermo_vqvae_smpl_4375 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ZeyuLing/vermo_vqvae_smpl_4375", 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:
- f578bf44b36d4e2749eb3a76cdc09b1948d9dfb1df28258afc0ed2c244abaf93
- Size of remote file:
- 34.8 MB
- SHA256:
- b202608d8a2d227043e1298f76e3227b6ed9d0c0a57a3b9602665ae5f1d3b91a
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