Strengthening the Art Style _ Gold Color Palette

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Photography,Realistic,Girl,LoRA,FLUX.1Image info
Photography,Realistic,Girl,LoRA,FLUX.1Image info
Photography,Realistic,Girl,LoRA,FLUX.1Image info
Photography,Realistic,Girl,LoRA,FLUX.1Image info
Photography,Realistic,Girl,LoRA,FLUX.1Image info
Photography,Realistic,Girl,LoRA,FLUX.1Image info

【Autumn Tribute, Golden Week Special - LoRA Golden Color Model】


With the gentle touch of autumn breeze, we usher in the season of harvest and the nationwide jubilation of Golden Week.

In this colorful autumn season, we proudly introduce the newly trained LoRA model - "Golden Color Scheme," adding a warm and dazzling touch of gold to your creativity.


The "Golden Color Scheme" has been meticulously calibrated and trained on a large amount of artistic design data, aiming to provide professional-level color matching solutions for designers and color enthusiasts. Whether it's a warm holiday atmosphere in web design, autumn elements in interior decorating, or trendy fashion items, our model can tailor color suggestions that perfectly match the theme of "golden style" for you.


During the National Golden Week, whether it's a commercial project or personal creation, let the "Golden Color Scheme" be your source of inspiration, helping you easily capture those admirable color combinations. Whether classical and elegant or modern and minimalist, with simple input, you can obtain satisfying color matching results.


This autumn, let's join hands with the "Golden Color Scheme" and illuminate the beautiful moments of life in every important design moment!

Usage

In comfyui mode, simply call lora and use a coefficient between 0.7-1. To enhance the golden color scheme, adding the word "gold" will further strengthen it.

For sd, it is recommended to first try your own prompt word combination , this way you can enhance the golden color scheme based on existing prompt words. If you find it unsatisfactory, add the trigger word "gold" to further strengthen it.


Welcome to experience the retouched images

2024-09-20 Upgrade to Version 1.5

Added more training images (4 times the original quantity) and adjusted learning parameters, resulting in better generalization

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3.5
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