Instructions to use applesauce33/definedmuscle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use applesauce33/definedmuscle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SulphurAI/Sulphur-2-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("applesauce33/definedmuscle") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Screenshot 2026-07-21 at 10.28.45 AM.png
text: '-'
base_model: SulphurAI/Sulphur-2-base
instance_prompt: null
license: apache-2.0
Defined Muscle

- Prompt
- -
Model description
This is a lora that was mostly made for personal use, but if anyone would like to use it, then feel free to. It was trained on 52 videos, mostly nsfw of guys that have very low body fat percentages so their muscles looked very defined.
Download model
Download them in the Files & versions tab.