Instructions to use Qilex/VirtualPetDiffusion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Qilex/VirtualPetDiffusion2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qilex/VirtualPetDiffusion2", 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:
- 68934c1a981a02d1472d46c108b50702eea350a8db5e62881c121db06f065054
- Size of remote file:
- 380 kB
- SHA256:
- 9617bb09e684c81898900b41b07bd1f3d6d0b76a12b0fb0a7ab852ef00133e7b
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