{"id":1704,"date":"2026-03-14T09:51:12","date_gmt":"2026-03-14T09:51:12","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=1704"},"modified":"2026-03-14T09:51:13","modified_gmt":"2026-03-14T09:51:13","slug":"firered-image-edit-1-1-3-before-and-after-edits","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/firered-image-edit-1-1-3-before-and-after-edits\/","title":{"rendered":"FireRed Image Edit 1.1: 3 Before and After Edits"},"content":{"rendered":"<p>FireRed Image Edit 1.1 demonstrates improved identity consistency and multi image conditioning. This post shows three real before and after edits that highlight the model&#8217;s strengths for product shots and atmosphere changes. Primary keyword: FireRed Image Edit 1.1<\/p>\n<h2>Model link<\/h2>\n<ul>\n<li><a href=\"https:\/\/wiro.ai\/models\/fireredteam\/firered-image-edit-1-1\">https:\/\/wiro.ai\/models\/fireredteam\/firered-image-edit-1-1<\/a><\/li>\n<\/ul>\n<h2>Test setup<\/h2>\n<table>\n<tbody>\n<tr>\n<td>Model<\/td>\n<td>FireRed Image Edit 1.1<\/td>\n<\/tr>\n<tr>\n<td>Resolution<\/td>\n<td>1024&#215;1024<\/td>\n<\/tr>\n<tr>\n<td>Inference steps<\/td>\n<td>30<\/td>\n<\/tr>\n<tr>\n<td>Guidance scale<\/td>\n<td>1.5<\/td>\n<\/tr>\n<tr>\n<td>Samples<\/td>\n<td>1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Edits<\/h2>\n<h3>1) Add pattern and warm wooden background (product)<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/firered-input-1.jpg\" alt=\"Mug before\" \/><figcaption>Before image<\/figcaption><\/figure>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/firered-output-1-1.jpg\" alt=\"Mug after\" \/><figcaption>Prompt: Add a black geometric pattern to the mug and change the background to a warm wooden surface with soft morning light. Keep the mug shape unchanged.<\/figcaption><\/figure>\n<p>Result: the edit preserves the mug silhouette while adding surface detail and coherent lighting on the new background.<\/p>\n<h3>2) Recolor bottle and replace props (product style)<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/firered-input-2.jpg\" alt=\"Perfume before\" \/><figcaption>Before image<\/figcaption><\/figure>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/firered-output-2-1.jpg\" alt=\"Perfume after\" \/><figcaption>Prompt: Change the perfume bottle to deep navy blue with silver accents, replace the rose petals with dried lavender, and add a dark moody background. Keep the camera angle and composition the same.<\/figcaption><\/figure>\n<p>Result: color and prop swaps stay consistent with the original composition and preserve key reflections.<\/p>\n<h3>3) Day to rainy evening relight (scene mood)<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/firered-input-3.jpg\" alt=\"Street before\" \/><figcaption>Before image<\/figcaption><\/figure>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/firered-output-3-1.jpg\" alt=\"Street after\" \/><figcaption>Prompt: Transform the same street to a rainy evening atmosphere with wet reflections on the pavement, warm orange streetlights, light mist, and fewer people. Keep buildings and perspective unchanged.<\/figcaption><\/figure>\n<p>Result: relighting and reflection generation provide a convincing evening mood while maintaining structure and perspective.<\/p>\n<h2>What looks strong and what to watch<\/h2>\n<ul>\n<li><strong>Strong:<\/strong> identity consistency for objects and preservation of camera angle.<\/li>\n<li><strong>Watch:<\/strong> human subjects and dense scenes can still show minor artifacts at edges.<\/li>\n<\/ul>\n<h2>Try it<\/h2>\n<ul>\n<li><a href=\"https:\/\/wiro.ai\/models\/fireredteam\/firered-image-edit-1-1\">Run FireRed Image Edit 1.1 on Wiro<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>FireRed Image Edit 1.1 demonstrates improved identity consistency and multi image conditioning. This post shows three real before and after edits that&hellip;<\/p>\n","protected":false},"author":4,"featured_media":1703,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[56],"tags":[142,61,60],"class_list":["post-1704","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-before-after","tag-firered","tag-image-editing","tag-image-to-image"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1704","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/comments?post=1704"}],"version-history":[{"count":2,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1704\/revisions"}],"predecessor-version":[{"id":1707,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1704\/revisions\/1707"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/1703"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=1704"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=1704"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=1704"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}