Instructions to use CSWRY/VOSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CSWRY/VOSR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CSWRY/VOSR", 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
| if [ -n "$1" ]; then | |
| echo "linting \"$1\"" | |
| fi | |
| echo "running black" | |
| if [ -n "$1" ]; then | |
| black "$1" | |
| else | |
| black dinov2 | |
| fi | |
| echo "running flake8" | |
| if [ -n "$1" ]; then | |
| flake8 "$1" | |
| else | |
| flake8 | |
| fi | |
| echo "running pylint" | |
| if [ -n "$1" ]; then | |
| pylint "$1" | |
| else | |
| pylint dinov2 | |
| fi | |
| exit 0 | |