Downloads · 30 days
43
5% of all-time downloads
ntc-ai/SDXL-LoRA-slider.van-gogh
SDXL-LoRA-slider.van-gogh is a text-to-image model from ntc-ai. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as mit.
Weights for this model are available in Safetensors format.
Downloads · 30 days
43
5% of all-time downloads
All-time downloads
929
Public
Repo size
47 MB
Likes
0
Public
Click a slice to open those files.
.png38.2 MB · 81%
From the Hugging Face model README
| 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 /> |
Weights for this model are available in Safetensors format.
You can apply this LoRA with trigger words for additional effect:
van gogh
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')
If you like this model please consider joining our Patreon.
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.