Instructions to use zjh21/UNICA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zjh21/UNICA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zjh21/UNICA", 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:
- 65dc57ef40d605c3ce49b72d3f62aded252e737ad5c6d67e506b6e60a72909fd
- Size of remote file:
- 3.64 GB
- SHA256:
- 8f4fb654027e1c412d251e045fe4333188de14227d8d9f5658c4dc6beb1e6376
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