Instructions to use B4100/fluxplaytime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/fluxplaytime 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/fluxplaytime") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
partytime

- Prompt
- -
Model description
This is a style LoRA with no specific trigger word. The qwen3 embedding is good at picking up any nudity as described in your prompt, so anything in the realm of "naked" "topless" "nude" "tits out" etc. should get the job done just fine and trigger the LoRA. Also it can infer nudity from context, so if you just say "woman in sauna" or "woman showering" she might show up nude even if you didn't say so explicitly, whereas in the raw (non-LoRA) model she'll often be wearing a towel or swimsuit with that kind of prompt.
Download model
Download them in the Files & versions tab.
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Model tree for B4100/fluxplaytime
Base model
black-forest-labs/FLUX.2-klein-9B Finetuned
wikeeyang/Flux2-Klein-9B-True-V2