---
language: 
- en
thumbnail: "images/evaluate/smooth and shiny.../smooth and shiny_17_3.0.png"
widget:
- text: smooth and shiny
  output:
    url: images/smooth and shiny_17_3.0.png
- text: smooth and shiny
  output:
    url: images/smooth and shiny_19_3.0.png
- text: smooth and shiny
  output:
    url: images/smooth and shiny_20_3.0.png
- text: smooth and shiny
  output:
    url: images/smooth and shiny_21_3.0.png
- text: smooth and shiny
  output:
    url: images/smooth and shiny_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: "smooth and shiny"
base_model: "stabilityai/stable-diffusion-xl-base-1.0"
---
# ntcai.xyz slider - smooth and shiny (SDXL LoRA)

| Strength: -3 | Strength: 0 | Strength: 3 |
| --- | --- | --- |
| <img src="images/smooth and shiny_17_-3.0.png" width=256 height=256 /> | <img src="images/smooth and shiny_17_0.0.png" width=256 height=256 /> | <img src="images/smooth and shiny_17_3.0.png" width=256 height=256 /> |
| <img src="images/smooth and shiny_19_-3.0.png" width=256 height=256 /> | <img src="images/smooth and shiny_19_0.0.png" width=256 height=256 /> | <img src="images/smooth and shiny_19_3.0.png" width=256 height=256 /> |
| <img src="images/smooth and shiny_20_-3.0.png" width=256 height=256 /> | <img src="images/smooth and shiny_20_0.0.png" width=256 height=256 /> | <img src="images/smooth and shiny_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:

```
smooth and shiny
```

## 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.smooth-and-shiny', weight_name='smooth and shiny.safetensors', adapter_name="smooth and shiny")

# Activate the LoRA
pipe.set_adapters(["smooth and shiny"], adapter_weights=[2.0])

prompt = "medieval rich kingpin sitting in a tavern, smooth and shiny"
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 910+ 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