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Fine Art Reproduction Print on stretched canvas

If option is selected, framed in a beautiful tassie oak timber float frame, ready to hang.

Signed certificate of authenticity.

 

Comes with free shipping across Australia.

 

"The greatest happiness of life is the conviction that we are loved; loved for ourselves, or rather, loved in spite of ourselves."

–Victor Hugo

This stunning painting titled "Loved" by Priya Gore has a beautiful inspiring story. Back in 2020 when Priya was meditating on thoughts of pursuing life of a full time artist; she created a piece titled "Galah Portrait". That painting got sold in no time and was the most loved piece of artworks by Priya. It was a great milestone which fuelled Priya's desire to become a full time painter and gave her courage to leave her highly lucrative mining telecom engineer career. 

This piece "LOVED" pays tribute to that moment, to that warm emotion of being loved, being accepted by the Australia collectors.

This painting will enhance the beauty and elegance of your home and wall no matter where you decide to hang it :)

Loved - print on canvas

850,00AU$Preis
    Anchor 1

    What I Do

    Australian rainforests offer the abundance of natural wonder. The bush walks and coastal hikes replenish the emptiness of the soul with a long-lasting creative energy. Artist’s life revolves around the exploration of nature’s intricacies that are often hidden in the obvious.

     

    Being in nature amongst the beautiful birds, animals, trees of the rainforest and the ocean has had profound effect on the artist’s mental, physical and spiritual wellbeing. Priya’s artwork tries to convey something beyond what we humans can encompass with our limited understanding of the nature and its power.

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    Copyright © 2017 - 2025 Priya Gore Art All Rights Reserved

     

    NO AI TRAINING: Without in any way limiting the author’s exclusive rights under copyright, any use of this website and the art, images, videos, music, text, or any other media to “train” generative artificial intelligence (AI) technologies to generate text is strictly and legally prohibited. The author reserves all rights to license uses of this work for generative AI training and development of machine learning language models.

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