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:
- afa53f464411b85ae8d593f4a360663438e9d48e70d5d905ad153aad805b0b7b
- Size of remote file:
- 4.09 GB
- SHA256:
- d2d06108745185e3f252f021d4210763538a0814d188e806ea810fec33f83829
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