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
joyjob

- Prompt
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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.
- Downloads last month
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