Instructions to use SMG4ME/squat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SMG4ME/squat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SMG4ME/squat") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
squat

- Prompt
- -
Trigger words
You should use (feet up:1.2) to trigger the image generation.
You should use (squatting:1.2) to trigger the image generation.
You should use (barefoot:0.8) to trigger the image generation.
You should use (feet focus:0.8) to trigger the image generation.
You should use soles to trigger the image generation.
You should use (from back:1.2) to trigger the image generation.
You should use nude to trigger the image generation.
You should use NSFW to trigger the image generation.
You should use (exposed anus:0.8) to trigger the image generation.
You should use (asshole:0.8) to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for SMG4ME/squat
Base model
black-forest-labs/FLUX.1-dev