ntcai.xyz slider - wife-beater shirt (SDXL LoRA)

Strength: -3	Strength: 0	Strength: 3

See more at https://sliders.ntcai.xyz/sliders/app/loras/8c9982fb-e374-4611-9f4b-33ceb93ccac5

Download

Weights for this model are available in Safetensors format.

Trigger words

You can apply this LoRA with trigger words for additional effect:

wife-beater shirt

Use in diffusers

from diffusers import StableDiffusionXLPipeline
from diffusers import EulerAncestralDiscreteScheduler
import torch

pipe = StableDiffusionXLPipeline.from_single_file("https://huggingface.co/martyn/sdxl-turbo-mario-merge-top-rated/blob/main/topRatedTurboxlLCM_v10.safetensors")
pipe.to("cuda")
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)

# Load the LoRA
pipe.load_lora_weights('ntc-ai/SDXL-LoRA-slider.wife-beater-shirt', weight_name='wife-beater shirt.safetensors', adapter_name="wife-beater shirt")

# Activate the LoRA
pipe.set_adapters(["wife-beater shirt"], adapter_weights=[2.0])

prompt = "medieval rich kingpin sitting in a tavern, wife-beater shirt"
negative_prompt = "nsfw"
width = 512
height = 512
num_inference_steps = 10
guidance_scale = 2
image = pipe(prompt, negative_prompt=negative_prompt, width=width, height=height, guidance_scale=guidance_scale, num_inference_steps=num_inference_steps).images[0]
image.save('result.png')

Support the Patreon

If you like this model please consider joining our Patreon.

By joining our Patreon, you'll gain access to an ever-growing library of over 1496+ unique and diverse LoRAs along with 14602+ slider merges, covering a wide range of styles and genres. You'll also receive early access to new models and updates, exclusive behind-the-scenes content, and the powerful NTC Slider Factory LoRA creator, allowing you to craft your own custom LoRAs and merges opening up endless possibilities.

Your support on Patreon will allow us to continue developing new models and tools.

Other resources

CivitAI - Follow ntc on Civit for even more LoRAs
ntcai.xyz - See ntcai.xyz to find more articles and LoRAs