Instructions to use B4100/Doggystyle_bbc_anal_flux2klein9b_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/Doggystyle_bbc_anal_flux2klein9b_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Flux2-Klein-9B-True-V2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/Doggystyle_bbc_anal_flux2klein9b_lora") prompt = "viewpoint from below from side , this image shows one girl and only one man. it is a close-up of anal sex scene. the girl is half turned away from the camera, her face turned to the side but still partially visible. she is glancing over to the viewer. she is on her knees in a doggystyle position on all fours, her anus and pussy visible. a nude man is kneeling behind her and is deeply penetrating her anus with his large penis. her ass is turned to the man. the upper body of the man is not visible. she is having anal sex with the man. the image shows a backview of the girl, clearly showing how the penis of the man penetrates her anus. she has a perfect ass. there is no hair under her pussy. " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Not-For-All-Audiences
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