SDXL LoRA Slider.very Aesthetic

🚀 ntcai.xyz slider - very aesthetic (SDXL LoRA)

This project offers an SDXL LoRA model named "very aesthetic". It can be used to generate images with a very aesthetic style. You can apply it in the diffusers framework and adjust its strength to get different effects.

🚀 Quick Start

This section provides a quick overview of how to start using the model.

Model Visualization

Strength: -3	Strength: 0	Strength: 3

Download

Weights for this model are available in Safetensors format.

✨ Features

Trigger Words

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

very aesthetic

💻 Usage Examples

Basic 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.very-aesthetic', weight_name='very aesthetic.safetensors', adapter_name="very aesthetic")

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

prompt = "medieval rich kingpin sitting in a tavern, very aesthetic"
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

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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.