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", torch_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:
- 82d88613dfb5eff77b10f32a2dcfa43a5d665b7bebae540f40535fe6949943ba
- Size of remote file:
- 246 MB
- SHA256:
- 87c1b379e54b3c87654e7661109bd1315019c3b357cf6237544002abf76d1258
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