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---
language:
- en
thumbnail: "images/evaluate/whos in whoville.../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 |
| --- | --- | --- |
| <img src="images/whos in whoville_17_-3.0.png" width=256 height=256 /> | <img src="images/whos in whoville_17_0.0.png" width=256 height=256 /> | <img src="images/whos in whoville_17_3.0.png" width=256 height=256 /> |
| <img src="images/whos in whoville_19_-3.0.png" width=256 height=256 /> | <img src="images/whos in whoville_19_0.0.png" width=256 height=256 /> | <img src="images/whos in whoville_19_3.0.png" width=256 height=256 /> |
| <img src="images/whos in whoville_20_-3.0.png" width=256 height=256 /> | <img src="images/whos in whoville_20_0.0.png" width=256 height=256 /> | <img src="images/whos in whoville_20_3.0.png" width=256 height=256 /> |
## 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
```python
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](https://www.patreon.com/NTCAI).
By joining our Patreon, you'll gain access to an ever-growing library of over 300+ unique and diverse LoRAs, 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 LoRA slider creator, allowing you to craft your own custom LoRAs and experiment with endless possibilities.
Your support on Patreon will allow us to continue developing and refining new models.
## Other resources
- [CivitAI](https://civitai.com/user/ntc) - Follow ntc on Civit for even more LoRAs
- [ntcai.xyz](https://ntcai.xyz) - See ntcai.xyz to find more articles and LoRAs
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