Modelpublic

ntc-ai/SDXL-LoRA-slider.gingerbread-house

sourceHugging Facemitupdated 3y agoView on Hugging Face

0likes24downloads

Model Card

language:

—en thumbnail: "images/gingerbread house173.0.png" widget:
—text: gingerbread house output: url: images/gingerbread house173.0.png
—text: gingerbread house output: url: images/gingerbread house193.0.png
—text: gingerbread house output: url: images/gingerbread house203.0.png
—text: gingerbread house output: url: images/gingerbread house213.0.png
—text: gingerbread house output: url: images/gingerbread house223.0.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 instanceprompt: "gingerbread house" basemodel: "stabilityai/stable-diffusion-xl-base-1.0" ---

ntcai.xyz slider - gingerbread house (SDXL LoRA)

Strength: -3	Strength: 0	Strength: 3
<img src="images/gingerbread house17-3.0.png" width=256 height=256 />	<img src="images/gingerbread house170.0.png" width=256 height=256 />	<img src="images/gingerbread house173.0.png" width=256 height=256 />
<img src="images/gingerbread house19-3.0.png" width=256 height=256 />	<img src="images/gingerbread house190.0.png" width=256 height=256 />	<img src="images/gingerbread house193.0.png" width=256 height=256 />
<img src="images/gingerbread house20-3.0.png" width=256 height=256 />	<img src="images/gingerbread house200.0.png" width=256 height=256 />	<img src="images/gingerbread house203.0.png" width=256 height=256 />

See more at https://sliders.ntcai.xyz/sliders/app/loras/d0f709e0-1b27-41cc-9be7-922134e0ba80

Download

Weights for this model are available in Safetensors format.

Trigger words

You can apply this LoRA with trigger words for additional effect:

gingerbread house

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.gingerbread-house', weight_name='gingerbread house.safetensors', adapter_name="gingerbread house")

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

prompt = "medieval rich kingpin sitting in a tavern, gingerbread house"
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.

By joining our Patreon, you'll gain access to an ever-growing library of over 1496+ unique and diverse LoRAs along with 14602+ slider merges, 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 <strong>NTC Slider Factory</strong> LoRA creator, allowing you to craft your own custom LoRAs and merges opening up endless possibilities.

Your support on Patreon will allow us to continue developing new models and tools.

Other resources

—CivitAI - Follow ntc on Civit for even more LoRAs
—ntcai.xyz - See ntcai.xyz to find more articles and LoRAs