Instructions to use B4100/wan-finger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/wan-finger 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/wan-finger") 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 shot, young woman age 21, cool pale
skin with a natural warmth — mixed Leba 482179.png
text: '-'
base_model: TheRaf7/ultra-real-wan2.2
instance_prompt: null
wan-finger

- Prompt
- -
Model description
Example core prompt: girl pushing fingers into pussy, two fingers, solo, targeting her vaginal entrance
These phrases were included in the training:
- fast rhythmic thrusts
- medium rhythmic thrusts
- slow deep thrusts
Suggested extras:
- wet fingers
- slick fingers
Suggested facial expressions:
- her expression is of intense pleasure with mouth open and brow frowning
- she smiles while looking at you
Download model
Download them in the Files & versions tab.