Instructions to use dhdbsrlw/pet-zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dhdbsrlw/pet-zero with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dhdbsrlw/pet-zero", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- df30386728b8f328ee8e9074477f9f08d648489bea3d4719560f3a32a045b378
- Size of remote file:
- 3.44 GB
- SHA256:
- 5d3944425dd1f8d5d7a7ee39e177f59960e94ad4113e218483ad63b8a9b0157e
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