---
language: 
- en
thumbnail: "images/evaluate/dancing with joy.../dancing with joy_17_3.0.png"
widget:
- text: dancing with joy
  output:
    url: images/dancing with joy_17_3.0.png
- text: dancing with joy
  output:
    url: images/dancing with joy_19_3.0.png
- text: dancing with joy
  output:
    url: images/dancing with joy_20_3.0.png
- text: dancing with joy
  output:
    url: images/dancing with joy_21_3.0.png
- text: dancing with joy
  output:
    url: images/dancing with joy_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: "dancing with joy"
base_model: "stabilityai/stable-diffusion-xl-base-1.0"
---
# ntcai.xyz slider - dancing with joy (SDXL LoRA)

| Strength: -3 | Strength: 0 | Strength: 3 |
| --- | --- | --- |
| <img src="images/dancing with joy_17_-3.0.png" width=256 height=256 /> | <img src="images/dancing with joy_17_0.0.png" width=256 height=256 /> | <img src="images/dancing with joy_17_3.0.png" width=256 height=256 /> |
| <img src="images/dancing with joy_19_-3.0.png" width=256 height=256 /> | <img src="images/dancing with joy_19_0.0.png" width=256 height=256 /> | <img src="images/dancing with joy_19_3.0.png" width=256 height=256 /> |
| <img src="images/dancing with joy_20_-3.0.png" width=256 height=256 /> | <img src="images/dancing with joy_20_0.0.png" width=256 height=256 /> | <img src="images/dancing with joy_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:

```
dancing with joy
```

## 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.dancing-with-joy', weight_name='dancing with joy.safetensors', adapter_name="dancing with joy")

# Activate the LoRA
pipe.set_adapters(["dancing with joy"], adapter_weights=[2.0])

prompt = "medieval rich kingpin sitting in a tavern, dancing with joy"
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 780+ 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