Instructions to use B4100/unchained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/unchained 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/unchained") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 729 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Firefly (2).png
text: '-'
base_model: wikeeyang/Flux2-Klein-9B-True-V2
instance_prompt: null
---
# unchained
<Gallery />
## Model description
Close-up photograph of a sexual act. A woman's vulva is prominently displayed at the top of the frame, with her labia parted to reveal her inner folds. A man's erect penis is positioned vertically, penetrating her anus. The man's pubic hair is visible at the bottom of the frame. The woman's skin is light-toned, and the man's penis has a pinkish hue.
## Download model
[Download](/B4100/unchained/tree/main) them in the Files & versions tab.
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