Instructions to use Jonjew/FeetFetish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/FeetFetish 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("Jonjew/FeetFetish") prompt = "This photograph captures a young, nude, skinny woman in a rustic barn setting. She is seated on hay, her legs spread wide open, and her feet pointing towards the camera, emphasizing her bare feet and soles. Feet in front, feet up, spread toes. Her hands are on her ass. The woman has a fair complexion and long red hair. Her attire consists of wearing a big white cowboy hat adorned with a small decorative band, and a small black string anklet around her left leg. The background features wooden walls and beams, typical of a barn, with sunlight streaming in through a large window on the left side, casting a warm glow on the scene. The hay beneath her is golden and coarse, contrasting with her smooth white skin. The overall setting suggests a rural, country vibe, with the barn's rustic charm enhanced by the natural light. The composition is balanced, drawing the viewer's eye to the woman's relaxed yet provocative pose. The mood is intimate and candid, with a hint of sensuality. " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Not-For-All-Audiences
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