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
Generated example for model Bern66/Venere.
Prompt: VenereIA, a 20-year-old art student with stunningly beautiful features, visits a gallery of modern art ,where there are some illuminating spots. Her cascading curly hair, subtly tinted with a slight shade of red, frames her brilliant blue eyes that seem to hold the depth of the ocean. Her ethereal beauty reminiscent of Botticelli's Venus demands attention. She wears a very elegant white nearly transparent cropped shirt and black short jeans. Her hands are visible. She moves through the gallery and looks at a painting, smiling slightly. Capture her essence in an ultra-realistic full body portrait in an angle view bathed in sharp, vivid details and a bokeh effect that enhances her allure. Some of the art works are in the background. This high-contrast image bursts with colors and textures, creating a mesmerizing visual narrative fit for a prestigious photo magazine like the Vogue.