Instructions to use jainvikrram/jenny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jainvikrram/jenny 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("jainvikrram/jenny") prompt = "jenny4v, a South Asian woman taking a smartphone selfie while standing near a floor-to-ceiling window inside a luxury suite, wearing the same metallic golden two-piece swimsuit and open ivory satin robe, straight black hair with a center part falling down her back, her body turned three-quarters away while her head turns back over her shoulder toward the phone, both eyes clearly visible, her eyes meeting the lens directly with a poised confident expression, warm interior lighting and soft city bokeh beyond the window, natural smartphone selfie photograph" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!