SDXL-LoRA-slider.offended Open Source Model - Freely Generate Images of 'Offended' Expressions and Scenes

SDXL LoRA Slider.offended

Developed by ntc-ai

This is a LoRA model based on Stable Diffusion XL, specifically designed for generating images related to 'offended' expressions and scenes.

Image Generation EnglishOpen Source License:MIT #Emotion expression generation #SDXL-LoRA adaptation #Slider intensity adjustment

Downloads 18

Release Time : 1/6/2024

Model Overview

This model enhances Stable Diffusion XL's capability in expressing 'offended' emotions through LoRA technology, suitable for generating various scenarios of characters showing offended expressions and postures.

Model Features

Enhanced emotional expression

Specifically optimized for 'offended' emotions, capable of generating more vivid and accurate expressions and postures

Adjustable intensity

Provides a slider with intensity ranging from -3 to 3 to control the strength of emotional expression

SDXL compatible

Based on the Stable Diffusion XL base model, maintaining high-quality image generation capabilities

Model Capabilities

Generate images of characters with offended emotions

Control the intensity of emotional expression

Combine with various scenes to generate images

Use Cases

Art creation

Character design

Designing offended expressions and postures for game or animation characters

Generate diversified references for offended expressions

Content creation

Illustration creation

Creating illustrations of offended scenes for stories or comics

Quickly generate emotional scenes that fit the plot

🚀 ntcai.xyz slider - offended (SDXL LoRA)

This project is an SDXL LoRA model that can generate images with the "offended" concept. It provides different strength levels of image generation and offers various usage methods and resources.

🚀 Quick Start

Model Preview

Strength: -3	Strength: 0	Strength: 3

📦 Installation

Weights for this model are available in Safetensors format.

✨ Features

Trigger Words

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

offended

💻 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.offended', weight_name='offended.safetensors', adapter_name="offended")

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

prompt = "medieval rich kingpin sitting in a tavern, offended"
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

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 900+ 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.

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