{"id":1035,"date":"2026-02-24T22:07:57","date_gmt":"2026-02-24T22:07:57","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=1035"},"modified":"2026-02-24T22:07:58","modified_gmt":"2026-02-24T22:07:58","slug":"longcat-image-edit-6-before-and-after-text-replacements","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/longcat-image-edit-6-before-and-after-text-replacements\/","title":{"rendered":"LongCat Image Edit: 6 Before and After Text Replacements"},"content":{"rendered":"

LongCat Image Edit: 6 Before and After Text Replacements<\/h2>\n

LongCat Image Edit performs precise text edits inside images. This post shows six real before and after examples that change only the target text while keeping the rest intact.<\/p>\n

What LongCat Image Edit does<\/h2>\n

LongCat Image Edit is an instruction-driven image editor that handles both English and Chinese text. The model targets only the specified text while preserving layout, color, and nearby details. Model page: https:\/\/wiro.ai\/models\/meituan-longcat\/LongCat-Image-Edit<\/a><\/p>\n

Test setup<\/h2>\n

Six base images were prepared and then edited with focused text-change prompts. Each edit changed a single line of text and kept other content unchanged. The tests used conservative guidance and fixed seeds for repeatability.<\/p>\n

Before and after examples<\/h2>\n

Example 1 \u2014 Can label<\/h3>\n\n\n\n
\n
\"Before:
Prompt: Edit only the label text. Replace “SODA” with “ZERO” so the label reads “NOVA ZERO”. Keep “NOVA” and “LEMON” unchanged. Keep the same font and layout.<\/figcaption><\/figure>\n<\/td>\n
\n
\"After:
Edit prompt used on LongCat Image Edit. Settings: steps 50, guidance 4.5, seed 2101.<\/figcaption><\/figure>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Example 2 \u2014 Street sign<\/h3>\n\n\n\n
\n
\"Before:
Prompt: Edit only the sign text. Change the first line to “NO PARKING”. Keep the second line “ZONE A” unchanged.<\/figcaption><\/figure>\n<\/td>\n
\n
\"After:
Edit prompt used on LongCat Image Edit. Settings: steps 50, guidance 4.5, seed 2102.<\/figcaption><\/figure>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Example 3 \u2014 Menu price<\/h3>\n\n\n\n
\n
\"Before:
Prompt: Edit only the menu price. Replace “PASTA 14” with “PASTA 12”. Keep “TODAY MENU” and “SOUP 8” unchanged.<\/figcaption><\/figure>\n<\/td>\n
\n
\"After:
Edit prompt used on LongCat Image Edit. Settings: steps 50, guidance 4.5, seed 2103.<\/figcaption><\/figure>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Example 4 \u2014 Price tag<\/h3>\n\n\n\n
\n
\"Before:
Prompt: Edit only the price number. Replace “$49” with “$29” so the tag reads “PRICE $29”. Keep “PRICE” and “NEW DROP” unchanged.<\/figcaption><\/figure>\n<\/td>\n
\n
\"After:
Edit prompt used on LongCat Image Edit. Settings: steps 50, guidance 4.5, seed 2104.<\/figcaption><\/figure>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Example 5 \u2014 Badge text<\/h3>\n\n\n\n
\n
\"Before:
Prompt: Edit only the badge text. Change “GUEST” to “SPEAKER”. Keep “ENTRY PASS” unchanged.<\/figcaption><\/figure>\n<\/td>\n
\n
\"After:
Edit prompt used on LongCat Image Edit. Settings: steps 50, guidance 4.5, seed 2105.<\/figcaption><\/figure>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Example 6 \u2014 Poster title<\/h3>\n\n\n\n
\n
\"Before:
Prompt: Edit only the title text. Replace “LAUNCH” with “BETA” so the title reads “BETA DAY”. Keep “BUILD FAST.” unchanged.<\/figcaption><\/figure>\n<\/td>\n
\n
\"After:
Edit prompt used on LongCat Image Edit. Settings: steps 50, guidance 4.5, seed 2106.<\/figcaption><\/figure>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Quick verdict<\/h2>\n

LongCat Image Edit handles targeted text changes with strong layout preservation. The model keeps fonts and nearby details stable in most cases. Small artifacts appear when the original text uses complex styling or tight spacing.<\/p>\n\n\n\n\n
<\/th>\n<\/th>\n<\/th>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Try LongCat Image Edit<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

LongCat Image Edit: 6 Before and After Text Replacements LongCat Image Edit performs precise text edits inside images. This post shows six…<\/p>\n","protected":false},"author":4,"featured_media":1034,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[56],"tags":[61,60,83],"class_list":["post-1035","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-before-after","tag-image-editing","tag-image-to-image","tag-text-editing"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1035","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=1035"}],"version-history":[{"count":1,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1035\/revisions"}],"predecessor-version":[{"id":1094,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1035\/revisions\/1094"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/1034"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=1035"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=1035"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=1035"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}