Instructions to use fusing/karlo-image-variations-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/karlo-image-variations-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/karlo-image-variations-diffusers", 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:
- 48b08e03934fe9a6c4b07c4b1d0dd5838709356a8c4f2ffce79c54f4a9ee024c
- Size of remote file:
- 31.5 MB
- SHA256:
- 46c3cb5d013e22221d156a9f30ef9221a4f9cfc547ab295cff870b2e26405a62
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