Instructions to use Linus4Lyf/petearch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Linus4Lyf/petearch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Linus4Lyf/petearch", 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:
- 1abc5ff3241a0c623666aec3a42f642588a8edce1a62f11d030730038c15ffef
- Size of remote file:
- 3.46 GB
- SHA256:
- fdad4d43e5cc379203182f50569cc04c19953eb876ce3bb794f65432ddf48942
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