Instructions to use B4100/tongue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/tongue with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheRaf7/ultra-real-wan2.2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/tongue") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: >-
images/Firefly_gpt-image_Full body iPhone mirror selfie, young woman age
21, warm ivory skin with faint freckl 482179.png
text: '-'
base_model: TheRaf7/ultra-real-wan2.2
instance_prompt: null
tonguewan

- Prompt
- -
Model description
She locks eyes with the camera, slowly sticks out her tongue, and holds the pose completely still.
pulls her hair into a ponytail and holds it up with both hands. She gets down on her knees. Then she opens her mouth wide and extends her tongue. submissive, sultry, maintaining eye contact, slow seductive movement
Download model
Download them in the Files & versions tab.