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Acrylic on canvas, stretched and ready to hang.

Signed certificate of authenticity.

This artwork comes with an external frame

In this vivid original painting, "Lilac'n roll," a serene scene unfolds, capturing the ethereal beauty of a group of lilac-breasted rollers soaring gracefully through an expansive sky. Despite their known solitary nature, the painting serves as an allegory for the boundless possibilities of unity and collaboration in achieving feats that surpass the confines of our imagination. The vibrant plumage of the rollers exudes a sense of freedom and determination, echoing the message that, despite our perceived limitations, we can transcend our solitary paths and soar to great heights through shared endeavours and collective aspirations.

The quote that inspired this artwork -
The best way to predict the future is to create it together. - Joe Echevarria

Lilacn Roll - Framed

AU$4,500.00Price
    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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