Instructions to use quadratrund/Armpulling_standing_doggystyle_flux2klein9b_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quadratrund/Armpulling_standing_doggystyle_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("quadratrund/Armpulling_standing_doggystyle_flux2klein9b_lora") prompt = "girl in the image is bent over slightly, with her arms extended behind her, and is being held by a nude man from behind. the man is standing behind her. he is gripping her arm with his hand, pulling it back. she has sex with a man who is grabbing her arms while penetrating ass her from behind. the mans hand hand is visible, gripping the woman's arm. his genitals are not visible due to his positioning. the girl is moaning while she gets fucked from behind." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Not-For-All-Audiences
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