Instructions to use Bern66/Venere with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bern66/Venere with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Bern66/Venere") prompt = "VenereIA" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#3
by Bern66 - opened
Generated example for model Bern66/Venere.
Prompt: a close up full body shot of VenereIA, wearing a cropped top and black shorts, posing seductively, ultrarealistic photo for the Vogue magazine, masterpiece, bokeh, in the background an art gallery