Instructions to use TheBirdLegacy/OSD-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheBirdLegacy/OSD-Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheBirdLegacy/OSD-Model", 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:
- d233d73b1bf902841c5a6a8a51423c3eadba9b94e964bc7d0e558c607d246bc6
- Size of remote file:
- 3.46 GB
- SHA256:
- dd251b3b80395dbb43c58523f61694cd0440fbba8109f35a43d3fdb9ab4c5acd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.