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:
- 2753bbb4fa871878d679b751e9edecbfdcc084735ea9b92ce040fa692f51bd4d
- Size of remote file:
- 1.03 MB
- SHA256:
- 9c8f4ee34e6e9940ee4bf19f0e462e140b1c538ef6bf31e34562deeddd04d87c
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