Instructions to use ProomptEngineer/pe-mugshot-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ProomptEngineer/pe-mugshot-concept 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("ProomptEngineer/pe-mugshot-concept") prompt = "PEMugShot" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("ProomptEngineer/pe-mugshot-concept")
prompt = "PEMugShot"
image = pipe(prompt).images[0]PE Mugshot [Concept]
If you want to donate:
https://ko-fi.com/proomptengineer
Simple lora. Who will go to jail?
weights 0.8-1 as always
Image examples for the model:
- Downloads last month
- 5
Model tree for ProomptEngineer/pe-mugshot-concept
Base model
stabilityai/stable-diffusion-xl-base-1.0








