Instructions to use burhansyam/bikini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use burhansyam/bikini 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("burhansyam/bikini") prompt = "An adult, dark-skinned woman, positioned in the center of the image, is crouched, appearing to be sitting in shallow water. She is facing the viewer. Her expression is serious and composed. Her dark hair is styled in long, braided sections. She is adorned with various intricate tattoos on her arms and legs, and multiple necklaces and rings. She wears a dark, black, form-fitting top that accentuates her sculptural body, leaving a thin waist, with wide hips and thick, chubby thighs that mark her clothes. The lighting is dramatic and ethereal, with a soft glow emanating from behind and around her, highlighting her form. The background is a dark, moody forest-like setting, with streaks of light blue emanating from behind the woman. The style is illustrative, almost anime, with a focus on character details and a cool color palette. The composition creates a sense of mystery and serenity. The perspective is slightly above the woman, with ripples in the water reflecting the light around her." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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