ntc-ai
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metadata
language:
  - en
thumbnail: images/person wearing headphones_17_3.0.png
widget:
  - text: person wearing headphones
    output:
      url: images/person wearing headphones_17_3.0.png
  - text: person wearing headphones
    output:
      url: images/person wearing headphones_19_3.0.png
  - text: person wearing headphones
    output:
      url: images/person wearing headphones_20_3.0.png
  - text: person wearing headphones
    output:
      url: images/person wearing headphones_21_3.0.png
  - text: person wearing headphones
    output:
      url: images/person wearing headphones_22_3.0.png
tags:
  - text-to-image
  - stable-diffusion-xl
  - lora
  - template:sd-lora
  - template:sdxl-lora
  - sdxl-sliders
  - ntcai.xyz-sliders
  - concept
  - diffusers
license: mit
inference: false
instance_prompt: person wearing headphones
base_model: stabilityai/stable-diffusion-xl-base-1.0

ntcai.xyz slider - person wearing headphones (SDXL LoRA)

Strength: -3 Strength: 0 Strength: 3

See more at https://sliders.ntcai.xyz/sliders/app/loras/db3ca807-26d4-4bf6-b3e0-77c3d2d8a566

Download

Weights for this model are available in Safetensors format.

Trigger words

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

person wearing headphones

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.person-wearing-headphones', weight_name='person wearing headphones.safetensors', adapter_name="person wearing headphones")

# Activate the LoRA
pipe.set_adapters(["person wearing headphones"], adapter_weights=[2.0])

prompt = "medieval rich kingpin sitting in a tavern, person wearing headphones"
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 14600+ 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