Pegasi - Minimalist Image Style Open - Source Model: Freely Generate Minimalist

Pegasi Minimalist Image Style

Developed by prithivMLmods

A LoRA model based on Stable Diffusion XL, specializing in generating minimalist-style images.

Image Generation Open Source License:Openrail #Minimalist Illustration Generation #Album Cover Design #Flat Style

Downloads 53

Release Time : 7/19/2024

Model Overview

This model fine-tunes the Stable Diffusion XL model using LoRA technology to generate images with a minimalist style, suitable for creative scenarios such as illustrations and album covers.

Model Features

Minimalist Style

Focuses on generating minimalist-style images, ideal for artistic creation and design needs.

LoRA Fine-tuning

Uses LoRA technology for efficient fine-tuning of the base model, retaining its core capabilities while enabling style customization.

Multi-style Support

Supports various minimalist sub-styles, including paper-cut style and flat illustrations.

Model Capabilities

Generate minimalist-style images

Supports specific style prompts

Suitable for creative design scenarios

Use Cases

Artistic Creation

Album Cover Design

Generate minimalist-style album covers

Examples showcase minimalist bird illustrations in white and violet hues.

Illustration Creation

Create minimalist-style illustrations

Examples include paper-cut style hiker figures.

Advertising Design

Product Display

Create minimalist promotional images for products

Examples include a hamburger image on a pink background.

🚀 Pegasi - Minimalist Image Style

This model is designed for generating minimalist-style images, leveraging Stable Diffusion technology to bring unique visual experiences.

🚀 Quick Start

The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.

✨ Features

Tags: text - to - image, stable - diffusion, lora, diffusers, template:sd - lora
Base Model: stabilityai/stable - diffusion - xl - base - 1.0
License: creativeml - openrail - m

📦 Installation

    pipe = StableDiffusionXLPipeline.from_pretrained(
        "-------------xxxxxxxxx----------",
        torch_dtype=torch.float16,
        use_safetensors=True,
    )
                    (or)
-----------------------------------------------------------
    pipe = StableDiffusionXLPipeline.from_pretrained(
        "stabilityai/stable-diffusion-xl-base-1.0",
        torch_dtype=torch.float16,
        use_safetensors=True,
    )
    pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
    
    pipe.load_lora_weights("prithivMLmods/Pegasi-Minimalist-Image-Style", weight_name="Pegasi-Minimalist-Image-Style.safetensors", adapter_name="minimalist")
    pipe.set_adapters("minimalist")
    pipe.to("cuda")

📚 Documentation

Model description

Pegasi Minimalist

Image Processing Parameters

Parameter	Value	Parameter	Value
LR Scheduler	constant	Noise Offset	0.03
Optimizer	AdamW	Multires Noise Discount	0.1
Network Dim	64	Multires Noise Iterations	10
Network Alpha	32	Repeat	28
Epoch	10	Save Every N Epochs	1

Trigger prompts

A picture that depicts a Hiker, in the style of delicate paper cutouts, white and azure, album covers, white medium, grainy, oshare kei, white background, minimal
Bird, in the style of minimalist illustrator, reinterpreted human form, iconic album covers, white and violet, stop - motion animation, elongated forms, flat illustrations
A Hamburger on a pink background, in the style of cinquecento, captured essence of the moment, layered expressiveness, intricate cut - outs backgrounds, film photography, studio photography

Parameter	Value
Prompt	A Hamburger on a pink background, in the style of cinquecento, captured essence of the moment, layered expressiveness, intricate cut - outs backgrounds, film photography, studio photography
Sampler	euler

Trigger words

You should use minimalist, minimal, minimalist illustrator to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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