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:
- d9fc7b3898dccb3814a2083b230166c77c3b4c408fe8d753f321958b37582058
- Size of remote file:
- 559 Bytes
- SHA256:
- f6c995ccb04e2615676160d574336f1fedb3fbd4741e7650e6f2b0273cccaab2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.