Instructions to use Huhwtfbro/Armpit-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Huhwtfbro/Armpit-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("Gazingstars123/Anima-2.9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Huhwtfbro/Armpit-Lora") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Armpit Licking

- Prompt
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Trigger words
You should use Armpit licking to trigger the image generation.
You should use licking armpit to trigger the image generation.
You should use armpit fetish to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for Huhwtfbro/Armpit-Lora
Base model
nvidia/Cosmos-Predict2-2B-Text2Image Finetuned
circlestone-labs/Anima Finetuned
Gazingstars123/Anima-2.9B