SDXL LoRA Slider.great Lighting

🚀 ntcai.xyz slider - great lighting (SDXL LoRA)

This project is an SDXL LoRA model that can add the "great lighting" effect to text - to - image generation. It provides different strength levels of the lighting effect and can be easily integrated into the diffusers library.

🚀 Quick Start

The model can be quickly used by following the steps below. First, download the weights, then use the trigger words, and finally integrate it into the diffusers library for image generation.

✨ Features

• Visual Comparison: The README provides a table comparing different strength levels of the "great lighting" effect, allowing users to intuitively understand the impact of different strengths.
• Easy to Use: The model provides trigger words and detailed diffusers library usage examples, making it easy for users to integrate into their projects.
• Community Support: By supporting the Patreon, users can access more LoRA models and exclusive content.

📦 Installation

Weights for this model are available in Safetensors format. You can download them according to your needs.

💻 Usage Examples

Basic Usage

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

great lighting

Advanced Usage

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.great-lighting', weight_name='great lighting.safetensors', adapter_name="great lighting")

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

prompt = "medieval rich kingpin sitting in a tavern, great lighting"
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')

📚 Documentation

Visual Comparison

Strength: -3	Strength: 0	Strength: 3

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 690+ 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 - Follow ntc on Civit for even more LoRAs
• ntcai.xyz - See ntcai.xyz to find more articles and LoRAs

📄 License

This project is licensed under the MIT license.