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:
- b48dfdcc4ed4edb3997e17297a2511d17d5de565b753860ca86b33ceb3099ba0
- Size of remote file:
- 1.09 MB
- SHA256:
- a8135d8cd34e482ab8bdd74b2336edb1392a7b2f1755cb484f6d0b94b4c2d885
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