Modelpublic

ntc-ai/SDXL-LoRA-slider.action-shot

sourceHugging Facemitupdated 3y agoView on Hugging Face

0likes22downloads

Model Card

language:

—en thumbnail: "images/action shot173.0.png" widget:
—text: action shot output: url: images/action shot173.0.png
—text: action shot output: url: images/action shot193.0.png
—text: action shot output: url: images/action shot203.0.png
—text: action shot output: url: images/action shot213.0.png
—text: action shot output: url: images/action shot223.0.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: "action shot" basemodel: "stabilityai/stable-diffusion-xl-base-1.0" ---

ntcai.xyz slider - action shot (SDXL LoRA)

Strength: -3	Strength: 0	Strength: 3
<img src="images/action shot17-3.0.png" width=256 height=256 />	<img src="images/action shot170.0.png" width=256 height=256 />	<img src="images/action shot173.0.png" width=256 height=256 />
<img src="images/action shot19-3.0.png" width=256 height=256 />	<img src="images/action shot190.0.png" width=256 height=256 />	<img src="images/action shot193.0.png" width=256 height=256 />
<img src="images/action shot20-3.0.png" width=256 height=256 />	<img src="images/action shot200.0.png" width=256 height=256 />	<img src="images/action shot203.0.png" width=256 height=256 />

See more at https://sliders.ntcai.xyz/sliders/app/loras/e619d580-069a-4079-b15a-5e85d6d2117c

Download

Weights for this model are available in Safetensors format.

Trigger words

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

action shot

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.action-shot', weight_name='action shot.safetensors', adapter_name="action shot")

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

prompt = "medieval rich kingpin sitting in a tavern, action shot"
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