Instructions to use zjh21/UNICA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zjh21/UNICA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zjh21/UNICA", 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:
- 187898d6b079fe92adeb8575302da780a37e53c427915e4120b3c6dab6d8625a
- Size of remote file:
- 1 GB
- SHA256:
- 912210ca1bb0a057fdf0a4f0d02762a472db48c20ef371d14332661eaebe317f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.