---
language: 
- en
thumbnail: "images/evaluate/van gogh...photographic/van gogh_17_3.0.png"
widget:
- text: van gogh
  output:
    url: images/van gogh_17_3.0.png
- text: van gogh
  output:
    url: images/van gogh_19_3.0.png
- text: van gogh
  output:
    url: images/van gogh_20_3.0.png
- text: van gogh
  output:
    url: images/van gogh_21_3.0.png
- text: van gogh
  output:
    url: images/van gogh_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: "van gogh"
base_model: "stabilityai/stable-diffusion-xl-base-1.0"
---
# ntcai.xyz slider - van gogh (SDXL LoRA)

| Strength: -3 | Strength: 0 | Strength: 3 |
| --- | --- | --- |
| <img src="images/van gogh_17_-3.0.png" width=256 height=256 /> | <img src="images/van gogh_17_0.0.png" width=256 height=256 /> | <img src="images/van gogh_17_3.0.png" width=256 height=256 /> |
| <img src="images/van gogh_19_-3.0.png" width=256 height=256 /> | <img src="images/van gogh_19_0.0.png" width=256 height=256 /> | <img src="images/van gogh_19_3.0.png" width=256 height=256 /> |
| <img src="images/van gogh_20_-3.0.png" width=256 height=256 /> | <img src="images/van gogh_20_0.0.png" width=256 height=256 /> | <img src="images/van gogh_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:

```
van gogh
```

## 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.van-gogh', weight_name='van gogh.safetensors', adapter_name="van gogh")

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

prompt = "medieval rich kingpin sitting in a tavern, van gogh"
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 510+ 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