Instructions to use workitoscinco/biyin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use workitoscinco/biyin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("workitoscinco/biyin", 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:
- 77b38bafeac4c341c3d2bfd808a6a95e95f6009da4e919100738eb390912c536
- Size of remote file:
- 246 MB
- SHA256:
- 9a80e6255949ad0498c8e45cf6cb4301e775da7d154346c417ba9e7466741419
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