Instructions to use Keltezaa/Bodywriting_Flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/Bodywriting_Flux 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("Keltezaa/Bodywriting_Flux") prompt = "The image is a high-resolution photograph featuring a nude woman with a voluptuous physique, prominently showcasing her large, curvy buttocks and thighs to camera. She has long, straight, platinum blonde hair cascading down her back, adorned with a light pink hair accessory that resembles a bow. Her skin is a light, fair complexion. The woman is positioned on all fours on a white fabric, likely a sheet or cloth, spread out on a wooden floor. looking over shoulder, with the words \"FUCK ME\" painted in bold, blue letters across her buttocks and upper thighs.Her facial expression is sultry, with heavy makeup including bold eyeliner and mascara, and her lips are painted in a dark color, possibly red. The background is minimalistic, with plain white walls and a wooden floor, contributing to the stark contrast with her skin tone." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Not-For-All-Audiences
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