{"id":425,"date":"2024-03-04T17:27:56","date_gmt":"2024-03-04T08:27:56","guid":{"rendered":"https:\/\/datalab.flitto.com\/en\/company\/blog\/?p=425"},"modified":"2024-03-04T17:46:53","modified_gmt":"2024-03-04T08:46:53","slug":"this-orange-and-teal-color-bias-shouts-that-your-image-was-ai-generated","status":"publish","type":"post","link":"https:\/\/datalab.flitto.com\/en\/company\/blog\/this-orange-and-teal-color-bias-shouts-that-your-image-was-ai-generated\/","title":{"rendered":"This color scheme shouts that your image was AI-generated"},"content":{"rendered":"\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p>Generative AI is profoundly impacting the content we see online, as well as in some other traditional media formats.<\/p>\n\n\n\n<p>It&#8217;s been a while since ChatGPT shook the tech industry and enthusiasts with its remarkably human-like outputs. However, it didn&#8217;t take long for people to start noticing the distinctive traits of AI-generated texts.<\/p>\n\n\n\n<p>These traits of AI are not limited to text generation; many AI images also feature noticeable characteristics that make it obvious that they were generated by AI systems.<\/p>\n\n\n\n<p>For example, you might notice a similar thread within these AI-generated images.<\/p>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-6c531013 wp-block-group-is-layout-flex\">\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-6c531013 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"512\" src=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/boggystebby_pianist_playing_piano_-v_4_97ddefa9-00ce-4f3e-9d2f-d3a8741bd68e_1.png\" alt=\"\" class=\"wp-image-426\" srcset=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/boggystebby_pianist_playing_piano_-v_4_97ddefa9-00ce-4f3e-9d2f-d3a8741bd68e_1.png 512w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/boggystebby_pianist_playing_piano_-v_4_97ddefa9-00ce-4f3e-9d2f-d3a8741bd68e_1-300x300.png 300w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/boggystebby_pianist_playing_piano_-v_4_97ddefa9-00ce-4f3e-9d2f-d3a8741bd68e_1-150x150.png 150w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \/><\/figure>\n<\/div>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"336\" src=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/boggyboggyboggy_3_people_reviewing_a_craft_done_by_little_rob_7e562cf6-4693-43af-ada0-96d53b432ec3_3-600x336.png\" alt=\"\" class=\"wp-image-431\" style=\"width:373px;height:auto\" srcset=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/boggyboggyboggy_3_people_reviewing_a_craft_done_by_little_rob_7e562cf6-4693-43af-ada0-96d53b432ec3_3-600x336.png 600w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/boggyboggyboggy_3_people_reviewing_a_craft_done_by_little_rob_7e562cf6-4693-43af-ada0-96d53b432ec3_3-300x168.png 300w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/boggyboggyboggy_3_people_reviewing_a_craft_done_by_little_rob_7e562cf6-4693-43af-ada0-96d53b432ec3_3-768x430.png 768w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/boggyboggyboggy_3_people_reviewing_a_craft_done_by_little_rob_7e562cf6-4693-43af-ada0-96d53b432ec3_3-1024x574.png 1024w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/boggyboggyboggy_3_people_reviewing_a_craft_done_by_little_rob_7e562cf6-4693-43af-ada0-96d53b432ec3_3.png 1456w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"512\" src=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/upper_body_shot_of_a_girl_about_to_shoot_a_basket_1452cf86-3ac0-44ca-a3b0-4cdc6ffb2d55_1.png\" alt=\"\" class=\"wp-image-447\" srcset=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/upper_body_shot_of_a_girl_about_to_shoot_a_basket_1452cf86-3ac0-44ca-a3b0-4cdc6ffb2d55_1.png 512w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/upper_body_shot_of_a_girl_about_to_shoot_a_basket_1452cf86-3ac0-44ca-a3b0-4cdc6ffb2d55_1-300x300.png 300w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/upper_body_shot_of_a_girl_about_to_shoot_a_basket_1452cf86-3ac0-44ca-a3b0-4cdc6ffb2d55_1-150x150.png 150w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \/><\/figure>\n<\/div>\n\n\n\n<div style=\"height:45px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">What is &#8220;orange and teal bias&#8221; in AI images?<\/h2>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>The orange and teal bias refers to the phenomenon among AI image generation engines where the model tends to excessively utilize one color scheme\u2014in this instance, orange and teal.<\/p>\n\n\n\n<p><strong>Important note: There are fantastic artworks that use this color scheme, and it does not imply that the usage of this color scheme automatically suggests AI generation.<\/strong><\/p>\n\n\n\n<p>However, because AI image models today overuse this color combination in default settings, this color scheme can be an indicator of AI images, <strong>specifically when accompanied by other distinctive imperfections, such as bursty shapes, <a href=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/why-do-ai-generated-hands-look-so-bad\/\">misshapen hands<\/a>, or gibberish texts.<\/strong><\/p>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1306\" height=\"449\" src=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/\uc2a4\ud06c\ub9b0\uc0f7-2024-03-04-122037.png\" alt=\"\" class=\"wp-image-451\" srcset=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/\uc2a4\ud06c\ub9b0\uc0f7-2024-03-04-122037.png 1306w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/\uc2a4\ud06c\ub9b0\uc0f7-2024-03-04-122037-300x103.png 300w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/\uc2a4\ud06c\ub9b0\uc0f7-2024-03-04-122037-600x206.png 600w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/\uc2a4\ud06c\ub9b0\uc0f7-2024-03-04-122037-768x264.png 768w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/\uc2a4\ud06c\ub9b0\uc0f7-2024-03-04-122037-1024x352.png 1024w\" sizes=\"auto, (max-width: 1306px) 100vw, 1306px\" \/><figcaption class=\"wp-element-caption\">Google search result for AI-generated abstract art<\/figcaption><\/figure>\n<\/div>\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>When it comes to AI art, this redundance can eventually become tiring for viewers. AI image generation communities have pointed this phenomenon, some even calling it the &#8220;<a href=\"https:\/\/www.reddit.com\/r\/midjourney\/comments\/xzduul\/mj_algorithm_follows_and_then_ignores_prompt_and\/\">dreaded<\/a> orange and teal <a href=\"https:\/\/www.reddit.com\/r\/midjourney\/comments\/z478si\/how_do_i_escape_orange_and_blue_hell\/\">hell<\/a>&#8220;.<\/p>\n\n\n\n<p>As we will see in later sections, certain engines are biased to produce images in these colors if they are not prompted otherwise.<\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Where can we spot orange and teal color bias?<\/h2>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>The orange and teal bias is most notably spotted in images generated by <a href=\"https:\/\/www.midjourney.com\">Midjourney<\/a>, although it&#8217;s also prevalent in other AI image generators.<\/p>\n\n\n\n<p>Unfortunately, there&#8217;s a high possibility that this color combination is embedded in Midjourney&#8217;s base model. A <a href=\"https:\/\/www.reddit.com\/r\/midjourney\/comments\/xjr9is\/kinda_frustrated_with_generic_or_abstract_vague\/\">user<\/a> on Reddit&#8217;s Midjourney subreddit compiled a <a href=\"https:\/\/imgur.com\/a\/NT7omxR\">folder<\/a> for images created using basic prompts. These prompts featured strings of numbers (e.g. 0, 1, 1337), words (e.g. Default, New), and gibberish that do not contain any meaningful information.<\/p>\n\n\n\n<p>There was a common thread of similarity in the outputs.<\/p>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-6c531013 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"512\" src=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/1HsXs3V.png\" alt=\"\" class=\"wp-image-439\" srcset=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/1HsXs3V.png 512w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/1HsXs3V-300x300.png 300w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/1HsXs3V-150x150.png 150w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \/><figcaption class=\"wp-element-caption\"><em>Output for prompt &#8220;1337&#8221;<\/em><\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"512\" src=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/UOrTBEA.png\" alt=\"\" class=\"wp-image-440\" srcset=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/UOrTBEA.png 512w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/UOrTBEA-300x300.png 300w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/UOrTBEA-150x150.png 150w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \/><figcaption class=\"wp-element-caption\"><em>Output for prompt &#8220;Uvtcdq&#8221;<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>In addition to the bias within the actual base model, the rule of thumb is that the more abstract the prompt is, more prevalent the orange and teal color scheme becomes.<\/p>\n\n\n\n<p>Below are some images with simple, three to four word prompts.<\/p>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-6c531013 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"512\" src=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/pianist_playing_piano_-v_4_97ddefa9-00ce-4f3e-9d2f-d3a8741bd68e_1.png\" alt=\"\" class=\"wp-image-445\" srcset=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/pianist_playing_piano_-v_4_97ddefa9-00ce-4f3e-9d2f-d3a8741bd68e_1.png 512w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/pianist_playing_piano_-v_4_97ddefa9-00ce-4f3e-9d2f-d3a8741bd68e_1-300x300.png 300w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/pianist_playing_piano_-v_4_97ddefa9-00ce-4f3e-9d2f-d3a8741bd68e_1-150x150.png 150w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \/><figcaption class=\"wp-element-caption\"><em>Prompt: &#8220;pianist playing piano&#8221;<\/em><\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"512\" src=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/girl_playing_basketball_-v_4_0ea58b02-1954-4dbc-b7ac-6e78309d2ea4_2.png\" alt=\"\" class=\"wp-image-444\" srcset=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/girl_playing_basketball_-v_4_0ea58b02-1954-4dbc-b7ac-6e78309d2ea4_2.png 512w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/girl_playing_basketball_-v_4_0ea58b02-1954-4dbc-b7ac-6e78309d2ea4_2-300x300.png 300w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/girl_playing_basketball_-v_4_0ea58b02-1954-4dbc-b7ac-6e78309d2ea4_2-150x150.png 150w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \/><figcaption class=\"wp-element-caption\"><em>Prompt: &#8220;girl playing basketball&#8221;<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>That doesn&#8217;t mean this bias doesn&#8217;t exist in other AI images. Images below have been generated by <a href=\"https:\/\/ideogram.ai\/\">Ideogram<\/a>, another popular and high-functioning AI image generator with its own base model.<\/p>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\"><\/div>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-6c531013 wp-block-group-is-layout-flex\">\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-6c531013 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"600\" src=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/kbT1TKgiQO6hxUX6uU2vkg-600x600.jpg\" alt=\"\" class=\"wp-image-435\" srcset=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/kbT1TKgiQO6hxUX6uU2vkg-600x600.jpg 600w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/kbT1TKgiQO6hxUX6uU2vkg-300x300.jpg 300w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/kbT1TKgiQO6hxUX6uU2vkg-150x150.jpg 150w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/kbT1TKgiQO6hxUX6uU2vkg-768x768.jpg 768w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/kbT1TKgiQO6hxUX6uU2vkg.jpg 1024w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"600\" src=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/kvq6V2AET-iteskOEcM7mw-600x600.jpg\" alt=\"\" class=\"wp-image-436\" srcset=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/kvq6V2AET-iteskOEcM7mw-600x600.jpg 600w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/kvq6V2AET-iteskOEcM7mw-300x300.jpg 300w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/kvq6V2AET-iteskOEcM7mw-150x150.jpg 150w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/kvq6V2AET-iteskOEcM7mw-768x768.jpg 768w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/kvq6V2AET-iteskOEcM7mw.jpg 1024w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/figure>\n<\/div>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"600\" src=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/m7CZhXHtQImx0HTYF4zGfQ-600x600.jpg\" alt=\"\" class=\"wp-image-438\" srcset=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/m7CZhXHtQImx0HTYF4zGfQ-600x600.jpg 600w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/m7CZhXHtQImx0HTYF4zGfQ-300x300.jpg 300w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/m7CZhXHtQImx0HTYF4zGfQ-150x150.jpg 150w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/m7CZhXHtQImx0HTYF4zGfQ-768x768.jpg 768w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/m7CZhXHtQImx0HTYF4zGfQ.jpg 1024w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/figure>\n<\/div>\n\n\n\n<p class=\"has-text-align-center\"><em>Prompt: &#8220;A visualization of Dvorak&#8217;s New World Symphony&#8221;<\/em><\/p>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-6c531013 wp-block-group-is-layout-flex\">\n<p><\/p>\n\n\n\n<div style=\"height:35px;width:0px\" aria-hidden=\"true\" class=\"wp-block-spacer wp-container-content-8af585c5\"><\/div>\n\n\n\n<div style=\"height:40px;width:0px\" aria-hidden=\"true\" class=\"wp-block-spacer wp-container-content-28f0cd9b\"><\/div>\n<\/div>\n\n\n\n<p>Meanwhile, other image models can have different characteristics. For example, OpenAI&#8217;s image generator <a href=\"https:\/\/openai.com\/dall-e-3\">Dall-E<\/a> also tends to create images with a crisp and vibrant blue hue when not prompted otherwise.<\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Why does color bias happen in AI image generation?<\/h2>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>In understanding biases in AI models, we need to look at the data they&#8217;ve been trained with.<\/p>\n\n\n\n<p>Orange and teal together are some of the most popular color combinations in the world. From the perspective of color theory, these two colors are complimentary hues, which means there is a distinct contrast between them. This contrast balances each color and helps viewers focus on the subject.<\/p>\n\n\n\n<p>For this reason, we can spot these two complimentary colors in movie posters and photography presets. Some movies even feature this color scheme throughout the entirety of the film.<\/p>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"350\" height=\"440\" src=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/orsnge_blue_collage.webp\" alt=\"\" class=\"wp-image-442\" srcset=\"https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/orsnge_blue_collage.webp 350w, https:\/\/datalab.flitto.com\/en\/company\/blog\/wp-content\/uploads\/orsnge_blue_collage-239x300.webp 239w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><figcaption class=\"wp-element-caption\"><em>Movie posters that use the color orange and blue (image courtesy of <a href=\"https:\/\/tvtropes.org\/pmwiki\/pmwiki.php\/Main\/OrangeBlueContrast\">tvtropes.org<\/a>)<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>If the model has been trained with the sheer amount of orange and blue-toned images commonly found in the media, naturally, the model would associate the color combination as ideal.<\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">How to avoid the orange and teal color bias<\/h2>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>There are several tips you can try if you&#8217;re tired of the orange and teal combination in your AI art.<\/p>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Specify color schemes in the prompt<\/h3>\n\n\n\n<p>Make sure to mention the specific color schemes you would like to feature in your AI art. Mentioning terms like &#8220;monochromatic&#8221; or &#8220;secondary&#8221; helps reduce the likelihood of color bias.<\/p>\n\n\n\n<p>In doing this, it greatly helps to learn about the basic color theory to apply.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Avoid short, abstract prompts<\/h3>\n\n\n\n<p>Biases inherent in the model become more explicit with abstract prompts with little information. Mention fuller details on your desired output instead of relying on the model to get creative with short prompts.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Mention HTML color names<\/h3>\n\n\n\n<p>Many major colors have their own <a href=\"https:\/\/htmlcolorcodes.com\/color-names\/\">HTML color names<\/a>. Including a description of these colors can help specify the palette you want in your project. However, in the case where the color name is also an object (e.g. lime), you can utilize the exclusion command in the model like the &#8220;&#8211;no&#8221; parameter to avoid confusion (e.g. &#8211;no fruit).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Exclude certain colors using tags<\/h3>\n\n\n\n<p>Look for ways to incorporate parameters or tags to explicitly state your color preferences. For instance, in Midjourney, there is a &#8220;&#8211;no&#8221; command to exclude certain aspects (e.g. &#8211;no teal, orange).<\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Wrapping up&#8230;<\/h2>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>As generative AI grows rapidly, more people are also beginning to notice the distinctive quirks and imperfections in its outputs. This is one reason why prompt engineering has emerged as one of the hottest keywords together with this innovative technology.<\/p>\n\n\n\n<p>A solution to biases in any generative AI, including the color scheme biases discussed in this article, is data diversity. Orange and teal is a beautiful color scheme, and it would be best if AI arts could use it in moderation.<\/p>\n\n\n\n<p>In the near future, safer and more diverse AI models will be available as <a href=\"https:\/\/datalab.flitto.com\/en\/why-datalab\">diversified datasets<\/a> accompany model development. At Flitto DataLab, it&#8217;s our goal to help AI solutions reach that goal faster.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Generative AI is profoundly impacting the content we see online, as well as in some other traditional media formats. It&#8217;s been a while since ChatGPT shook the tech industry and enthusiasts with its remarkably human-like outputs. However, it didn&#8217;t take long for people to start noticing the distinctive traits of AI-generated texts. These traits of [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":447,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[8],"tags":[38,9,29,30],"class_list":["post-425","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analysis","tag-ai-art","tag-artificial-intelligence","tag-data-centric-ai","tag-generative-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>This color scheme shouts that your image was AI-generated<\/title>\n<meta name=\"description\" content=\"Many AI artworks feature a distinctive orange and teal color scheme. 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