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:
- a21a835aa14e6c22555215dc217efe9eadbe236d08aea9179849530f0137ea0a
- Size of remote file:
- 741 kB
- SHA256:
- a8a67a137bb550a4d1b5cd9bfbfd8fd2bc7d65613dcb5b8e96d57fc80019f44d
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