Instructions to use B4100/joyjob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/joyjob 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/joyjob") 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/aa2.png
text: '-'
base_model: TheRaf7/ultra-real-wan2.2
instance_prompt: null
joyjob

- Prompt
- -
Model description
She is sticking her tongue out. Her hand is performing a rapid, rhythmic motion, moving up and down at a speed that mimics the pace of a handjob.
Download model
Download them in the Files & versions tab.