11 Aug Image creation with Artificial Intelligence (AI) using Microsoft Bing Image Creator – shapes and gradients
In this Blog Post, we experimented with geometrical shapes and gradients
The geometric aspect
The images that are included in this post have been based on the puzzle ‘Tangram’. The tangram is an ancient Chinese puzzle composed of seven geometric shapes that can be rearranged to form various figures. The pieces are also known as ‘Tans’. They include a square, 2 large right triangles, 2 small right triangles, 1 medium right triangle and 1 parallelogram.
For these Images, Microsoft Image Creator did generate images with geometrical dimensions as a result of the inclusion of the term ‘tangram’. It was unable to perfectly replicate images using the 7 shapes that are associated with the puzzle. The key terms in the prompts were: “tangram”, “people,” “tea house,” “drinking tea,” “chatting,” “silver and taupe gradient,” and “ink drawing.”
Use of gradients
A gradient is a visual effect where two or more colours smoothly transition into one another. Gradients are very popular due to their remarkable adaptability, offering an infinite array of variations and effects through the artful blending of colours.
The images in this post, use the “silver and taupe gradient” which adds an ethereal touch, evoking a sense of calm and elegance.
The images are visually striking and effective due to the neutrality of the colours and the geometrical effect.Below, you’ll find the hex colour codes that correspond to some of the principal colours used in these images:
#cabaa9, #898784, #9e998f, #766f65, #746b64
Enjoy!
Disclaimer: It is imperative to acknowledge that these images are intended solely for non-commercial use. Evidenced by the visible Bing watermark on each image, their origin is rooted in Bing’s Image Creator tool. Reference to the website https://www.bing.com/new/termsofuse?FORM=GENTOS corroborates that these creations are suitable for legal personal, non-commercial purposes.
Furthermore, an assiduous evaluation of these images through TinEye Reverse Image Search and Google Lens https://lens.google.com/ confirms their uniqueness. While exact matches remain absent, it is plausible that resemblances emerge, attributed to the AI’s training on pre-existing artworks.
