Instructions to use Senetor/Simpson with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Senetor/Simpson with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Senetor/Simpson") prompt = "Simpson Style portrait" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: Simpson Style portrait
output:
url: images/1.jpeg
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: ohwx man
license: mit
Simpson

- Prompt
- Simpson Style portrait
Model description
Simpson
Trigger words
You should use ohwx man to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.