Instructions to use LHRuig/gsulkn2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LHRuig/gsulkn2 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-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LHRuig/gsulkn2") prompt = "suit" 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:
- text: suit
output:
url: >-
images/michael-kors-blue-performance-stretch-slim-fit-wedding-suit-coat.webp
base_model: stabilityai/stable-diffusion-3.5-large
instance_prompt: gsulkn
gsulkn2

- Prompt
- suit
Model description
gg sulkn lora
Trigger words
You should use gsulkn to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.