---
language: 
- en
thumbnail: "images/admiration_17_3.0.png"
widget:
- text: admiration
  output:
    url: images/admiration_17_3.0.png
- text: admiration
  output:
    url: images/admiration_19_3.0.png
- text: admiration
  output:
    url: images/admiration_20_3.0.png
- text: admiration
  output:
    url: images/admiration_21_3.0.png
- text: admiration
  output:
    url: images/admiration_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: "admiration"
base_model: "stabilityai/stable-diffusion-xl-base-1.0"
---
# ntcai.xyz slider - admiration (SDXL LoRA)

| Strength: -3 | Strength: 0 | Strength: 3 |
| --- | --- | --- |
| <img src="images/admiration_17_-3.0.png" width=256 height=256 /> | <img src="images/admiration_17_0.0.png" width=256 height=256 /> | <img src="images/admiration_17_3.0.png" width=256 height=256 /> |
| <img src="images/admiration_19_-3.0.png" width=256 height=256 /> | <img src="images/admiration_19_0.0.png" width=256 height=256 /> | <img src="images/admiration_19_3.0.png" width=256 height=256 /> |
| <img src="images/admiration_20_-3.0.png" width=256 height=256 /> | <img src="images/admiration_20_0.0.png" width=256 height=256 /> | <img src="images/admiration_20_3.0.png" width=256 height=256 /> |

See more at [https://sliders.ntcai.xyz/sliders/app/loras/0a4a47e6-5d4e-4bde-85c3-fe389335e477](https://sliders.ntcai.xyz/sliders/app/loras/0a4a47e6-5d4e-4bde-85c3-fe389335e477)

## Download

Weights for this model are available in Safetensors format.

## Trigger words

You can apply this LoRA with trigger words for additional effect:

```
admiration
```

## 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.admiration', weight_name='admiration.safetensors', adapter_name="admiration")

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

prompt = "medieval rich kingpin sitting in a tavern, admiration"
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 1496+ unique and diverse LoRAs along with 14600+ slider merges, 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 <strong>NTC Slider Factory</strong> LoRA creator, allowing you to craft your own custom LoRAs and merges opening up endless possibilities.

Your support on Patreon will allow us to continue developing new models and tools.

## 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