{"id":1985,"date":"2026-04-30T19:37:06","date_gmt":"2026-04-30T19:37:06","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=1985"},"modified":"2026-03-21T20:06:00","modified_gmt":"2026-03-21T20:06:00","slug":"flux-kontext-max-multi-6-two-image-edits","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/flux-kontext-max-multi-6-two-image-edits\/","title":{"rendered":"Flux Kontext Max Multi: 6 Two-Image Edits"},"content":{"rendered":"<h2>Flux Kontext Max Multi: 6 Two-Image Edits<\/h2>\n<p>Multi-image editing gets interesting when a prompt can pull details from a second reference without wrecking the base photo. These examples use Flux Kontext Max Multi to do logo placement, hair color transfer, pattern application, and object-level rearrangements.<\/p>\n<h2>Model link<\/h2>\n<ul>\n<li><a href=\"https:\/\/wiro.ai\/models\/wiroai\/flux-kontext-max-multi\">https:\/\/wiro.ai\/models\/wiroai\/flux-kontext-max-multi<\/a><\/li>\n<\/ul>\n<h2>Test setup<\/h2>\n<ul>\n<li>Prompt upsampling: false<\/li>\n<li>Safety tolerance: 2<\/li>\n<li>Output format: jpeg<\/li>\n<\/ul>\n<h2>Edit 1: Put a logo on a shirt (photo + logo)<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-a1.jpg\" alt=\"Base photo input for logo placement\"\/><figcaption>Input image 1 (base photo).<\/figcaption><\/figure>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-a2.png\" alt=\"Logo reference image\"\/><figcaption>Input image 2 (logo reference).<\/figcaption><\/figure>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-out-1.jpg\" alt=\"Edited output with logo placed on shirt\"\/><figcaption>Prompt: Put the logo onto the man&#8217;s shirt with small size.<\/figcaption><\/figure>\n<p>This is a clean test for multi-image grounding. A good output keeps folds, lighting, and perspective from the base photo while integrating the logo from the reference.<\/p>\n<h2>Edit 2: Hair look transfer (photo + color reference)<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-b1.jpg\" alt=\"Base portrait input\"\/><figcaption>Input image 1 (base portrait).<\/figcaption><\/figure>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-b2.jpg\" alt=\"Hair color reference\"\/><figcaption>Input image 2 (hair reference).<\/figcaption><\/figure>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-out-2.jpg\" alt=\"Edited output with hair changed\"\/><figcaption>Prompt: Make the woman&#8217;s hair look like it does in the second image.<\/figcaption><\/figure>\n<p>When this works, the face stays the same and only hair changes. If the output shifts identity, tighten the prompt to say &#8220;keep face, pose, and background unchanged&#8221;.<\/p>\n<h2>Edit 3: Apply a pattern to a wall (room + pattern)<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-c1.jpg\" alt=\"Room photo input\"\/><figcaption>Input image 1 (room).<\/figcaption><\/figure>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-c2.jpeg\" alt=\"Pattern reference input\"\/><figcaption>Input image 2 (pattern).<\/figcaption><\/figure>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-out-3.jpg\" alt=\"Edited output with patterned wall\"\/><figcaption>Prompt: The first image is the room. The second image is the pattern. Paint the wall behind the bed with the pattern in the second image.<\/figcaption><\/figure>\n<p>This is one of the best use cases for multi-image edits: keep the geometry and lighting from the room, but borrow surface detail from the second image.<\/p>\n<h2>Edit 4: Logo placement on a stylized portrait (illustration + logo)<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-d1.jpg\" alt=\"Stylized portrait input\"\/><figcaption>Input image 1 (stylized portrait).<\/figcaption><\/figure>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-d2.png\" alt=\"Logo reference\"\/><figcaption>Input image 2 (logo reference).<\/figcaption><\/figure>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-out-4.jpg\" alt=\"Edited output with logo on shirt\"\/><figcaption>Prompt: Print the logo in small size at the center of the woman&#8217;s shirt.<\/figcaption><\/figure>\n<p>Stylized inputs test whether the edit follows the local style. The best outputs keep the illustration look and treat the logo like it belongs there.<\/p>\n<h2>Edit 5: Add a sleeve patch (photo + logo)<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-b1.jpg\" alt=\"Base portrait input reused\"\/><figcaption>Input image 1 (base portrait).<\/figcaption><\/figure>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-a2.png\" alt=\"Logo reference reused\"\/><figcaption>Input image 2 (logo reference).<\/figcaption><\/figure>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-out-5.jpg\" alt=\"Edited output with logo patch on sleeve\"\/><figcaption>Prompt: Add the logo from the second image as a small patch on the left sleeve of the woman&#8217;s hoodie. Keep everything else the same.<\/figcaption><\/figure>\n<p>This kind of precise placement is where Kontext-style editing stands out compared to generic img2img. It should touch one region and leave everything else intact.<\/p>\n<h2>Edit 6: Remove an object + reposition another (two-image guidance)<\/h2>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-f1.jpg\" alt=\"Tea set scene input\"\/><figcaption>Input image 1 (scene).<\/figcaption><\/figure>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-f2.jpg\" alt=\"Edge guidance reference\"\/><figcaption>Input image 2 (guidance reference).<\/figcaption><\/figure>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/flux-out-6.jpg\" alt=\"Edited output with objects removed and moved\"\/><figcaption>Prompt: Remove the tea glass. Put the bird left of the teapot.<\/figcaption><\/figure>\n<p>Multi-step prompts can work well, but they are sensitive. If one instruction fails, split it into two runs (remove first, then move) and keep the wording short.<\/p>\n<h2>Quick takeaways<\/h2>\n<table>\n<thead>\n<tr>\n<th>Use case<\/th>\n<th>Why multi-image helps<\/th>\n<th>Prompt tip<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Brand\/logo placement<\/td>\n<td>Reference image can anchor shape and style<\/td>\n<td>Say size and exact location<\/td>\n<\/tr>\n<tr>\n<td>Pattern transfer<\/td>\n<td>Borrow surface detail without changing geometry<\/td>\n<td>Name the target region in plain words<\/td>\n<\/tr>\n<tr>\n<td>Identity preservation<\/td>\n<td>Base photo can stay stable while details change<\/td>\n<td>Explicitly say what must stay unchanged<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Try it<\/h2>\n<ul>\n<li><a href=\"https:\/\/wiro.ai\/models\/wiroai\/flux-kontext-max-multi\">Run Flux Kontext Max Multi on Wiro<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Flux Kontext Max Multi: 6 Two-Image Edits Multi-image editing gets interesting when a prompt can pull details from a second reference without&hellip;<\/p>\n","protected":false},"author":4,"featured_media":2031,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[56],"tags":[119,183,61,184],"class_list":["post-1985","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-before-after","tag-flux","tag-flux-kontext","tag-image-editing","tag-multi-image"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1985","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=1985"}],"version-history":[{"count":1,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1985\/revisions"}],"predecessor-version":[{"id":2032,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1985\/revisions\/2032"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/2031"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=1985"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=1985"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=1985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}