Instructions to use AIDC-AI/UNIC-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIDC-AI/UNIC-Adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIDC-AI/UNIC-Adapter", 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:
- bac87c71771748baa715bf3c77e1735caa6e3b7756500ef461e36b60d007e810
- Size of remote file:
- 1.27 MB
- SHA256:
- ed9d64ea19bc715764eb7fdcf8260477d7b116290ca45492362689b1a76218af
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.