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---
language:
- en
thumbnail: "images/evaluate/zebra stripes.../zebra stripes_17_3.0.png"
widget:
- text: zebra stripes
output:
url: images/zebra stripes_17_3.0.png
- text: zebra stripes
output:
url: images/zebra stripes_19_3.0.png
- text: zebra stripes
output:
url: images/zebra stripes_20_3.0.png
- text: zebra stripes
output:
url: images/zebra stripes_21_3.0.png
- text: zebra stripes
output:
url: images/zebra stripes_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: "zebra stripes"
base_model: "stabilityai/stable-diffusion-xl-base-1.0"
---
# ntcai.xyz slider - zebra stripes (SDXL LoRA)
| Strength: -3 | Strength: 0 | Strength: 3 |
| --- | --- | --- |
| <img src="images/zebra stripes_17_-3.0.png" width=256 height=256 /> | <img src="images/zebra stripes_17_0.0.png" width=256 height=256 /> | <img src="images/zebra stripes_17_3.0.png" width=256 height=256 /> |
| <img src="images/zebra stripes_19_-3.0.png" width=256 height=256 /> | <img src="images/zebra stripes_19_0.0.png" width=256 height=256 /> | <img src="images/zebra stripes_19_3.0.png" width=256 height=256 /> |
| <img src="images/zebra stripes_20_-3.0.png" width=256 height=256 /> | <img src="images/zebra stripes_20_0.0.png" width=256 height=256 /> | <img src="images/zebra stripes_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:
```
zebra stripes
```
## 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.zebra-stripes', weight_name='zebra stripes.safetensors', adapter_name="zebra stripes")
# Activate the LoRA
pipe.set_adapters(["zebra stripes"], adapter_weights=[2.0])
prompt = "medieval rich kingpin sitting in a tavern, zebra stripes"
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 630+ 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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