Instructions to use fusing/karlo_unclip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/karlo_unclip 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_unclip", 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:
- 0889c069002f6f816e0b1bcfdd5126fef47a85af3b2aa8250da2a4ef53543ec5
- Size of remote file:
- 2.77 GB
- SHA256:
- cfbbb545152758458338f11b93370b97b827da53aa6c737b886b16dd39bae2e9
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