---
language: 
- en
thumbnail: "images/evaluate/waving hello.../waving hello_17_3.0.png"
widget:
- text: waving hello
  output:
    url: images/waving hello_17_3.0.png
- text: waving hello
  output:
    url: images/waving hello_19_3.0.png
- text: waving hello
  output:
    url: images/waving hello_20_3.0.png
- text: waving hello
  output:
    url: images/waving hello_21_3.0.png
- text: waving hello
  output:
    url: images/waving hello_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: "waving hello"
base_model: "stabilityai/stable-diffusion-xl-base-1.0"
---
# ntcai.xyz slider - waving hello (SDXL LoRA)

| Strength: -3 | Strength: 0 | Strength: 3 |
| --- | --- | --- |
| <img src="images/waving hello_17_-3.0.png" width=256 height=256 /> | <img src="images/waving hello_17_0.0.png" width=256 height=256 /> | <img src="images/waving hello_17_3.0.png" width=256 height=256 /> |
| <img src="images/waving hello_19_-3.0.png" width=256 height=256 /> | <img src="images/waving hello_19_0.0.png" width=256 height=256 /> | <img src="images/waving hello_19_3.0.png" width=256 height=256 /> |
| <img src="images/waving hello_20_-3.0.png" width=256 height=256 /> | <img src="images/waving hello_20_0.0.png" width=256 height=256 /> | <img src="images/waving hello_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:

```
waving hello
```

## 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.waving-hello', weight_name='waving hello.safetensors', adapter_name="waving hello")

# Activate the LoRA
pipe.set_adapters(["waving hello"], adapter_weights=[2.0])

prompt = "medieval rich kingpin sitting in a tavern, waving hello"
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 1070+ 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