---
language:
- en
thumbnail: "images/evaluate/extremely extremely aesthetic.../extremely extremely aesthetic_17_3.0.png"
widget:
- text: extremely extremely aesthetic
output:
url: images/extremely extremely aesthetic_17_3.0.png
- text: extremely extremely aesthetic
output:
url: images/extremely extremely aesthetic_19_3.0.png
- text: extremely extremely aesthetic
output:
url: images/extremely extremely aesthetic_20_3.0.png
- text: extremely extremely aesthetic
output:
url: images/extremely extremely aesthetic_21_3.0.png
- text: extremely extremely aesthetic
output:
url: images/extremely extremely aesthetic_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: "extremely extremely aesthetic"
base_model: "stabilityai/stable-diffusion-xl-base-1.0"
---
# ntcai.xyz slider - extremely extremely aesthetic (SDXL LoRA)
| Strength: -3 | Strength: 0 | Strength: 3 |
| --- | --- | --- |
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## Download
Weights for this model are available in Safetensors format.
## Trigger words
You can apply this LoRA with trigger words for additional effect:
```
extremely extremely aesthetic
```
## 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.extremely-extremely-aesthetic', weight_name='extremely extremely aesthetic.safetensors', adapter_name="extremely extremely aesthetic")
# Activate the LoRA
pipe.set_adapters(["extremely extremely aesthetic"], adapter_weights=[2.0])
prompt = "medieval rich kingpin sitting in a tavern, extremely extremely aesthetic"
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