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:
- c5538aa4cd78e2759ff11d3046696066c3838ca834baa8835cb6c62956adb207
- Size of remote file:
- 495 MB
- SHA256:
- aec40a3f65f96219cb30a80554a39fcb365146b6aa7d0cb9621e08b010ba672d
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