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:
- f2d3df0184de161eacabedac27ed1ccb12fa04acc45d4cbb5be904e15450ec4b
- Size of remote file:
- 593 kB
- SHA256:
- 28547314b153d760a68155a2836511ae4a4f23ae1f63e4934d3a7364f53ab77d
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