ntcai.xyz slider - extremely detailed (SDXL LoRA)

Strength: -3	Strength: 0	Strength: 3

See more at https://sliders.ntcai.xyz/sliders/app/loras/4f6174b8-2db1-42ab-80e1-b341235dd6ac

Download

Weights for this model are available in Safetensors format.

Trigger words

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

extremely detailed

Use in diffusers

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.extremely-detailed', weight_name='extremely detailed.safetensors', adapter_name="extremely detailed")

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

prompt = "medieval rich kingpin sitting in a tavern, extremely detailed"
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 14600+ 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 NTC Slider Factory 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