Instructions to use quadratrund/2koma_anything_flux2klein9b_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quadratrund/2koma_anything_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("pmczip/FLUX.2-klein-9B_Models", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("quadratrund/2koma_anything_flux2klein9b_lora") prompt = "image is split into two frames. one shows a frontal shot of the girl in her original outfit. her face is also visible. the other image shows the same woman turned away on all fours. her face is not visible. she having anal sex with a man. the upper body of the man is out of frame. the girl is on her knees exposing her buttocks and genitals. the man is on top of her and his muscular legs are visible. the ass and the testicles of the man are visible and he is penetrating the girls anus with her penis. her outfit is still recognizable in the frame. she still wears her panties which it is pulled aside to expose her pussy. " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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