ntc-ai
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metadata
language:
  - en
thumbnail: images/whos in whoville_17_3.0.png
widget:
  - text: whos in whoville
    output:
      url: images/whos in whoville_17_3.0.png
  - text: whos in whoville
    output:
      url: images/whos in whoville_19_3.0.png
  - text: whos in whoville
    output:
      url: images/whos in whoville_20_3.0.png
  - text: whos in whoville
    output:
      url: images/whos in whoville_21_3.0.png
  - text: whos in whoville
    output:
      url: images/whos in whoville_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: whos in whoville
base_model: stabilityai/stable-diffusion-xl-base-1.0

ntcai.xyz slider - whos in whoville (SDXL LoRA)

Strength: -3 Strength: 0 Strength: 3

See more at https://sliders.ntcai.xyz/sliders/app/loras/04d177f9-24a3-4a65-8ac2-1d63b84d0a85

Download

Weights for this model are available in Safetensors format.

Trigger words

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

whos in whoville

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.whos-in-whoville', weight_name='whos in whoville.safetensors', adapter_name="whos in whoville")

# Activate the LoRA
pipe.set_adapters(["whos in whoville"], adapter_weights=[2.0])

prompt = "medieval rich kingpin sitting in a tavern, whos in whoville"
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