Default Profile Picture (y-LoRA Style) - defaultpfp v2

Default Profile Picture (y-LoRA Style)

LORA
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Default Profile Picture (y-LoRA Style) by YLORA on Tensor.Art
Default Profile Picture (y-LoRA Style) by YLORA on Tensor.Art
Default Profile Picture (y-LoRA Style) by YLORA on Tensor.Art
Default Profile Picture (y-LoRA Style) by YLORA on Tensor.Art
Default Profile Picture (y-LoRA Style) by YLORA on Tensor.Art
Default Profile Picture (y-LoRA Style) by YLORA on Tensor.Art
Default Profile Picture (y-LoRA Style) by YLORA on Tensor.Art
Default Profile Picture (y-LoRA Style) by YLORA on Tensor.Art
Default Profile Picture (y-LoRA Style) by YLORA on Tensor.Art
Default Profile Picture (y-LoRA Style) by YLORA on Tensor.Art
Default Profile Picture (y-LoRA Style) by YLORA on Tensor.Art
Default Profile Picture (y-LoRA Style) by YLORA on Tensor.Art

V2 is out now - the entire purpose of such is to provide more flexibility whilst also offering stronger attenuation to the original idea of a default profile picture.

Long story short, this is better in every way. Make sure to pay attention to the example image prompts for tags.

Do not buy me a coffee ☕ I'm not poor

This style was entirely inspired by certain profile pictures I've seen on twitter which are a vague modification of the default profile picture. I'm extremely happy with the results I've been getting and I hope everyone can find a use for this.

To use the LoRA, use the tag "defaultpfp". Also use "grey theme" to specifically get the twitter colors, otherwise you can actually change it to any color you choose. Tags like "no face" and "faceless" can help in the event you're using this with a LoRA that keeps forcing a face.

Struggling? Can't get the style right?
It's ok, here's a reinforcement prompt.

Put this in your prompt if you want to make every gen have the precise style I show off in my showcase

(front view, solo:1.2), disembodied head, monochrome, grey theme, profile picture, (defaultpfp:1.2)

Dettaglio della Versione

Illustrious
<p>The entire idea of this was to make the overall strength of the LoRA work with less tags. It may be less ideal than the original LoRA, but it understands the colors a lot better.</p>

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