SDXL - LoRA - slider.raining Open-source Image Model - Freely Generate Stunning Scenes of Rainy Weather

SDXL LoRA Slider.raining

Developed by ntc-ai

This is a fine-tuned model based on Stable Diffusion XL, specializing in generating 'rain' scene images.

Image Generation EnglishOpen Source License:MIT #Text-to-Image - Rain Effect #SDXL Fine-tuning #Scene Atmosphere Enhancement

Downloads 30

Release Time : 12/29/2023

Model Overview

The model fine-tunes Stable Diffusion XL using LoRA technology to generate various rain scene images, supporting intensity adjustment of the rain effect via a slider.

Model Features

Adjustable Intensity

Supports adjusting the intensity of the rain effect via a slider, ranging from subtle to intense.

High-Quality Generation

Based on Stable Diffusion XL, producing high-quality images.

LoRA Fine-tuning

Uses LoRA technology for efficient fine-tuning, enhancing specific scene performance while preserving the original model's capabilities.

Model Capabilities

Generate rain scene images

Adjust rain effect intensity

Combine with other prompts to generate complex scenes

Use Cases

Art Creation

Scene Illustration

Create rain scene illustrations for books, games, etc.

Can generate rain scenes in different styles and intensities.

Concept Design

Environment Concept

Design rain environment concept art for films and games.

Quickly generate various rain environment concepts.

🚀 ntcai.xyz slider - raining (SDXL LoRA)

This project offers a LoRA model for the StableDiffusionXL framework, which can add a "raining" effect to generated images. You can use trigger words to apply this LoRA and adjust its strength to achieve different visual effects.

🚀 Quick Start

Visual Comparison

Strength: -3	Strength: 0	Strength: 3

📦 Installation

Weights for this model are available in Safetensors format.

💻 Usage Examples

Trigger words

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

raining

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.raining', weight_name='raining.safetensors', adapter_name="raining")

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

prompt = "medieval rich kingpin sitting in a tavern, raining"
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 710+ 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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