Instructions to use HuggingVince/w3dg1e_krea2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HuggingVince/w3dg1e_krea2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("HuggingVince/w3dg1e_krea2") prompt = "an amateur photo of woman wearing panty wedgie the panty elastic is pulled up over her shoulders, " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Wedgie.png
text: >-
an amateur photo of woman wearing panty wedgie the panty elastic is pulled
up over her shoulders,
- output:
url: images/Wedgie.png
text: >-
the cencor was added in photoshop cause new account havent read TOS on
nudity
base_model: krea/Krea-2-Turbo
instance_prompt: >-
Lora works best at 0.7 strength w3dg1e that trigger word is not needed just
use natural language
license: other
license_name: dowhateverthefkuwant
license_link: LICENSE
w3dg1e

- Prompt
- an amateur photo of woman wearing panty wedgie the panty elastic is pulled up over her shoulders,

- Prompt
- the cencor was added in photoshop cause new account havent read TOS on nudity
Model description
Over shoulders panty wedgie
Trigger words
Lora works best at 0.7 strength w3dg1e was the consistant trigger it was trained with although not really needed in generation and can add a watermark i suspect i need to understand Krea2 training more but this does the job. just use natural language a woman wearing panty the elastic stretched up over her shoulders
Download model
Download them in the Files & versions tab.