Instructions to use Kunbyte/ROSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kunbyte/ROSE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kunbyte/ROSE", 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
- Xet hash:
- 888c7da45b76c97066cc79937ca16f4b549ea2255b1d9bb6cbd6c9309f002cd3
- Size of remote file:
- 3.13 GB
- SHA256:
- f4461e70bd9e32447126ebc0d85a71226ac6bae2e49d3ae110095913655bc9fe
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