Instructions to use B4100/FK_reversecowgirl_klein9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/FK_reversecowgirl_klein9b 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/FK_reversecowgirl_klein9b") prompt = "the image shows one girl and only one man. the girl is sitting with her legs apart on the mans lap. she is turned to the camera. the man is lying unter her with is upper body mostly covered by the girl. the face of the man is not visible. he is clearly penetrating the girls anus. her anus and vagina is clearly visible. the image shows the explicit action of anal sex. the photograph depicts a close-up o a explicit sexual scene featuring a woman. she is positioned on top of a man, straddling him in a reverse cowgirl position. her vulva is prominently displayed, with the man's erect penis inserted into her anus. the man, who is nude is lying on his back. his penis is circumcised, and his scrotum is visible." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Not-For-All-Audiences
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