Instructions to use Xopen/oliviannn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xopen/oliviannn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Xopen/oliviannn") prompt = "A high-fashion cinematic portrait of olivia_n wearing a holographic gown, standing amidst a neon-lit cyberpunk cityscape during a rainstorm." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9f6b7f52429b3e7c1c6487e705cf38edad23f525db4a67d2a2760b1c88a1a4ad
- Size of remote file:
- 195 MB
- SHA256:
- f346c8709de2e0949cbad644fa9f696b163ec5055e3b9288053977792db6bce9
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