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---
language:
- en
thumbnail: "images/evaluate/utterly embarrassed.../utterly embarrassed_17_3.0.png"
widget:
- text: utterly embarrassed
output:
url: images/utterly embarrassed_17_3.0.png
- text: utterly embarrassed
output:
url: images/utterly embarrassed_19_3.0.png
- text: utterly embarrassed
output:
url: images/utterly embarrassed_20_3.0.png
- text: utterly embarrassed
output:
url: images/utterly embarrassed_21_3.0.png
- text: utterly embarrassed
output:
url: images/utterly embarrassed_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: "utterly embarrassed"
base_model: "stabilityai/stable-diffusion-xl-base-1.0"
---
# ntcai.xyz slider - utterly embarrassed (SDXL LoRA)
| Strength: -3 | Strength: 0 | Strength: 3 |
| --- | --- | --- |
| <img src="images/utterly embarrassed_17_-3.0.png" width=256 height=256 /> | <img src="images/utterly embarrassed_17_0.0.png" width=256 height=256 /> | <img src="images/utterly embarrassed_17_3.0.png" width=256 height=256 /> |
| <img src="images/utterly embarrassed_19_-3.0.png" width=256 height=256 /> | <img src="images/utterly embarrassed_19_0.0.png" width=256 height=256 /> | <img src="images/utterly embarrassed_19_3.0.png" width=256 height=256 /> |
| <img src="images/utterly embarrassed_20_-3.0.png" width=256 height=256 /> | <img src="images/utterly embarrassed_20_0.0.png" width=256 height=256 /> | <img src="images/utterly embarrassed_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:
```
utterly embarrassed
```
## 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.utterly-embarrassed', weight_name='utterly embarrassed.safetensors', adapter_name="utterly embarrassed")
# Activate the LoRA
pipe.set_adapters(["utterly embarrassed"], adapter_weights=[2.0])
prompt = "medieval rich kingpin sitting in a tavern, utterly embarrassed"
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 1140+ 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
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