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
File size: 331 Bytes
bf5da48 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | #!/bin/sh
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
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