---
language: 
- en
thumbnail: "images/evaluate/this person won the lottery...sitting calmly/this person won the lottery_17_3.0.png"
widget:
- text: this person won the lottery
  output:
    url: images/this person won the lottery_17_3.0.png
- text: this person won the lottery
  output:
    url: images/this person won the lottery_19_3.0.png
- text: this person won the lottery
  output:
    url: images/this person won the lottery_20_3.0.png
- text: this person won the lottery
  output:
    url: images/this person won the lottery_21_3.0.png
- text: this person won the lottery
  output:
    url: images/this person won the lottery_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: "this person won the lottery"
base_model: "stabilityai/stable-diffusion-xl-base-1.0"
---
# ntcai.xyz slider - this person won the lottery (SDXL LoRA)

| Strength: -3 | Strength: 0 | Strength: 3 |
| --- | --- | --- |
| <img src="images/this person won the lottery_17_-3.0.png" width=256 height=256 /> | <img src="images/this person won the lottery_17_0.0.png" width=256 height=256 /> | <img src="images/this person won the lottery_17_3.0.png" width=256 height=256 /> |
| <img src="images/this person won the lottery_19_-3.0.png" width=256 height=256 /> | <img src="images/this person won the lottery_19_0.0.png" width=256 height=256 /> | <img src="images/this person won the lottery_19_3.0.png" width=256 height=256 /> |
| <img src="images/this person won the lottery_20_-3.0.png" width=256 height=256 /> | <img src="images/this person won the lottery_20_0.0.png" width=256 height=256 /> | <img src="images/this person won the lottery_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:

```
this person won the lottery
```

## 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.this-person-won-the-lottery', weight_name='this person won the lottery.safetensors', adapter_name="this person won the lottery")

# Activate the LoRA
pipe.set_adapters(["this person won the lottery"], adapter_weights=[2.0])

prompt = "medieval rich kingpin sitting in a tavern, this person won the lottery"
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 1050+ 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