Instructions to use Bookreev/Sonya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bookreev/Sonya with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Bookreev/Sonya") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download Somuseva.zip from Bookreev/Sonya: direct link, hf CLI and curl.
- Browser
- Download file 58.2 MB
-
https://huggingface.co/Bookreev/Sonya/resolve/main/Somuseva.zip
- Command line
-
hf download hf://Bookreev/Sonya/Somuseva.zip
-
curl -L -o Somuseva.zip https://huggingface.co/Bookreev/Sonya/resolve/main/Somuseva.zip
58.2 MB
- Xet hash:
- d27a3e1e6f0e71b5a9c307487fbc8184fef48d766111e6d20e213f6f4234cf48
- Size of remote file:
- 58.2 MB
- SHA256:
- 67cf7c63c4d50e48a19bc8632c4d3ad3983a0cad1fe2c65ed2caa53b80a209b5
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