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:
- 50cd6960337e86fdb3ca697e1a6da35300b310e994a0f84fd66480ed9f47aa36
- Size of remote file:
- 195 MB
- SHA256:
- 505b15c52bb5cdd31166b2d2aac201e516ebbfeb263cb9b4fe1b63c1f18da097
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