Instructions to use Qilex/VirtualPetDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Qilex/VirtualPetDiffusion 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/VirtualPetDiffusion", 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:
- a410f21c07a96b5ea1d0b7a445bd2255c9d25f4c3e9a819aa36d6546342a4b34
- Size of remote file:
- 455 MB
- SHA256:
- 0dafa925ea399d9ba85bc57e5947d3fcbcaa1a1b9dbc45aa1800dc41675acd6f
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