Instructions to use CoachBate/UnderBoner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CoachBate/UnderBoner 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("CoachBate/UnderBoner") prompt = "each man has a single underboner in his pants. preserve their identities , " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
UnderBoner - CoachBate v1

- Prompt
- each man has a single underboner in his pants. preserve their identities ,

- Prompt
- he has a prominent underboner in his sweatpants ,realistic photography

- Prompt
- they all have a visible underboner in their tight baseball uniform pants

- Prompt
- underboner, realistic photography

- Prompt
- underboner is visible through the thin, sheer, wet, towel, realistic photography

- Prompt
- he has a prominent underboner in his denim jeans ,realistic photography

- Prompt
- underboner, realistic photography

- Prompt
- underboner, realistic photography

- Prompt
- underboner, realistic photography

- Prompt
- each man has a single underboner in his pants. preserve their identities , subtle sweat sheen on their skin, natural pores, detailed eyes, hands,
Model description
Give one or more images a bulge in their tight pants. Excels in wrestling singlets and speedos, and for other materials, just call them tight in your prompt. See showcase for example prompts.
Trigger words
You should use underboner to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for CoachBate/UnderBoner
Base model
black-forest-labs/FLUX.2-klein-base-9B Adapter
pmczip/FLUX.2-klein-9B_Models