Most AI image generators start from nothing but a text prompt \u2014 you describe a scene, and the model invents it from scratch. That’s not what most people actually want most of the time. Usually you already have a photo \u2014 a product shot, a portrait, an old family picture, a landscape you took \u2014 and you want to change one thing about it: the background, the lighting, the color palette, an object in the frame. That’s a genuinely different task, and it needs a genuinely different kind of tool.<\/p>\n\n\n\n
Two of AllMediaTools’ AI image tools actually do this: you upload your existing photo as a reference image<\/strong>, describe the change you want in plain language, and the model edits from that reference instead of generating something unrelated. Here’s how it works, what it’s actually good for, and where it falls short.<\/p>\n\n\n\n A standard text-to-image generation run starts from random noise and is shaped entirely by your prompt’s words \u2014 there’s no existing photo involved, and no guarantee the result resembles anything specific. If you tried to “edit” a photo this way by just describing it plus a change, you’d get a brand-new image that vaguely matches your description, not your actual photo with one thing changed.<\/p>\n\n\n\n Reference-image editing is different: you provide the model an actual image to start from, and it generates a new version conditioned on that image plus your text instruction. The output is meant to still be recognizably related to your original \u2014 same subject, same general composition \u2014 with the specific change you asked for applied. If you want the deeper mechanics of how text-to-image generation works in the first place, see What Is Text-to-Image AI and How Does It Actually Work?<\/a> \u2014 this article picks up specifically where that leaves off.<\/p>\n\n\n\n This is the part worth being precise about, because it’s a real, live capability and not a theoretical one \u2014 the backend’s image-generation serializer has an On AllMediaTools AI Image Generator<\/a>, once you’re signed in, there’s a FLUX Kontext<\/strong> editing mode: upload a reference image, describe the edit you want, and it generates a new version based on that reference rather than starting from a blank prompt. Kontext mode specifically requires a reference image to run \u2014 it’s built around editing an existing photo, not generating from scratch.<\/p>\n\n\n\n Nano Banana AI Image Generator<\/a> supports conversational image editing<\/strong>: upload a reference image and describe the change in natural language \u2014 “make the sky sunset orange,” “put this person in a red jacket instead,” “turn this into a pencil sketch” \u2014 and it edits from that reference.<\/p>\n\n\n\n Both tools solve the same underlying problem in slightly different ways; which one gives you a better result can vary by the specific edit, so it’s worth trying both on a stubborn image before assuming one is simply better.<\/p>\n\n\n\n Based on how reference-image editing is designed to work, it’s best suited to changes you can describe in a sentence or two, applied to the whole image rather than one precisely bounded area:<\/p>\n\n\n\n Reference-image editing is real and useful, but it’s not a replacement for a proper photo editor, and it isn’t the same thing as professional inpainting tools:<\/p>\n\n\n\n If you need surgical, pixel-level control over exactly which region changes, a traditional photo editor is still the right tool. Reference-image AI editing is best thought of as “describe the change and get a strong first draft,” not “make this one exact edit with nothing else touched.”<\/p>\n\n\n\n Neither is categorically better \u2014 they’re different underlying models with different editing behavior, and which one nails a specific edit can vary by image:<\/p>\n\n\n\n If one doesn’t give you the result you want, trying the same reference image and prompt on the other is a reasonable next step before concluding the edit isn’t achievable this way.<\/p>\n\n\n\n Yes \u2014 this is a genuinely live capability, not a theoretical one. FLUX Kontext mode on AllMediaTools AI Image Generator<\/a> requires a reference image to run, and Nano Banana<\/a> supports uploading a reference image and describing the edit conversationally.<\/p>\n\n\n\n No. Neither tool lets you paint a precise mask over one exact region \u2014 edits are guided by your text description applied to the whole reference image, so nearby areas can shift slightly too. For pixel-precise, single-region edits, a traditional photo editor with masking is still the better tool.<\/p>\n\n\n\n Not reliably. That kind of identity-locking typically requires training a dedicated model (a LoRA) on that person’s face \u2014 neither FLUX Kontext nor Nano Banana on AllMediaTools does that. Reference-image editing gets you a close, plausible edit of a given photo, not a trained, repeatable identity.<\/p>\n\n\n\n It depends on the specific edit \u2014 neither is consistently better across every case. Style and lighting changes tend to work well on both; if one doesn’t produce what you want, trying the same photo and prompt on the other tool is a reasonable next step.<\/p>\n\n\n\n FLUX Kontext mode on the AI Image Generator is available once you’re signed in. Check each tool’s page directly for its current access requirements, since free-tier limits can change.<\/p>\n\n\n\n Usually close, but not guaranteed pixel-for-pixel. Broader changes (background, style, overall lighting) tend to preserve the rest of the image more reliably than very small, specific edits. Treat the first result as a strong draft and regenerate if something you wanted kept has shifted.<\/p>\n\n","protected":false},"excerpt":{"rendered":" Most AI image generators start from nothing but a text prompt \u2014 you describe a scene, and the model invents it from scratch. That’s not what most people actually want most of the time. Usually you already have a photo \u2014 a product shot, a portrait, an old family picture, a landscape you took \u2014 … Read more<\/a><\/p>\n","protected":false},"author":0,"featured_media":190,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[232],"tags":[417,421,420,418,419],"class_list":["post-189","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-design-tools","tag-ai-image-editing-reference-photo","tag-ai-style-transfer-photo","tag-edit-photo-with-ai-prompt","tag-flux-kontext-editing","tag-nano-banana-photo-editing"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/allmediatools.com\/blog\/wp-content\/uploads\/2026\/08\/seo-publish-edit-image-with-ai-reference-photo.jpg","_links":{"self":[{"href":"https:\/\/allmediatools.com\/blog\/wp-json\/wp\/v2\/posts\/189","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/allmediatools.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/allmediatools.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/allmediatools.com\/blog\/wp-json\/wp\/v2\/comments?post=189"}],"version-history":[{"count":0,"href":"https:\/\/allmediatools.com\/blog\/wp-json\/wp\/v2\/posts\/189\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/allmediatools.com\/blog\/wp-json\/wp\/v2\/media\/190"}],"wp:attachment":[{"href":"https:\/\/allmediatools.com\/blog\/wp-json\/wp\/v2\/media?parent=189"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/allmediatools.com\/blog\/wp-json\/wp\/v2\/categories?post=189"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/allmediatools.com\/blog\/wp-json\/wp\/v2\/tags?post=189"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\n\n\nText-to-Image vs. Reference-Image Editing: Why the Distinction Matters<\/h2>\n\n\n\n
\n\n\n\nThe Two Tools That Actually Support This<\/h2>\n\n\n\n
input_image<\/code> field, and it’s genuinely wired up to two tools on the site:<\/p>\n\n\n\nFLUX Kontext (AllMediaTools AI Image Generator)<\/h3>\n\n\n\n
Nano Banana (Gemini 2.5 Flash Image)<\/h3>\n\n\n\n
\n\n\n\nWhat Kinds of Edits Actually Work Well<\/h2>\n\n\n\n
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\n\n\n\nStep by Step: Editing a Photo with a Reference Image<\/h2>\n\n\n\n
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\n\n\n\nWhat This Can’t Do \u2014 Be Honest About the Limits<\/h2>\n\n\n\n
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\n\n\n\nFLUX Kontext vs. Nano Banana: Which One Should You Use?<\/h2>\n\n\n\n
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\n\n\n\nWhat to Do Next<\/h2>\n\n\n\n
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\n\n\n\nFrequently Asked Questions<\/h2>\n\n\n\n
Can I really upload my own photo and edit it with AI on AllMediaTools?<\/h3>\n\n\n\n
Is this the same as Photoshop’s inpainting or a masking tool?<\/h3>\n\n\n\n
Can I use this to make an AI clone of a specific person’s face for repeated use?<\/h3>\n\n\n\n
Which tool gives better editing results, FLUX Kontext or Nano Banana?<\/h3>\n\n\n\n
Do I need an account to use FLUX Kontext or Nano Banana?<\/h3>\n\n\n\n
Will the edited image look exactly like my original except for the one change I asked for?<\/h3>\n\n\n\n