EditorAnyVideoAny AI
This AI outfit generator is a two-photo image-to-image workbench. Put a person you are authorized to edit in Image 1 and a garment in Image 2, then generate a new still with the requested clothes. It is not text-to-image, not a body-measurement fitting room, and it does not expose a separate virtual-try-on endpoint. The preferred model on this route is Seedream 5.0, shown as Seedream 5 Pro. Nano Banana 2 is also available in this selector. The credit cost for the selected model and options appears before you submit. To place swimwear on an authorized photo, use swimsuit on a photo. To place a dress on an authorized photo, use generate a dress on the photo. To generate clothes onto an authorized photo, use clothes onto a photo. A costume look on an authorized photo can use cosplay look on a photo. A neighboring still desk for that job is the ai shorts generator tool.
This route locks the outfit workbench, requires exactly two reference images, and prefers Seedream 5.0. You still choose aspect ratio and, when the model shows it, resolution. Those choices sit beside Image 1, Image 2, and the keep-and-change notes. If you already have one authorized still and no garment photo, swap clothes on a photo, change the outfit on a photo, or put lingerie on a photo instead. The strip below reuses the image-to-image template logos; availability follows the locked selector, not every logo.
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A photographic person and garment usually want a model that stays in a photographic family. This AI outfit generator prefers Seedream 5.0, shown as Seedream 5 Pro, so Image 1 remains the source of face, pose, and crop. Nano Banana 2 is the other allowed model on this page. Switching between them can change how much of the person or garment survives, and it can change the displayed credit cost. Read both before you generate.
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If you need the same full-length or three-quarter frame as Image 1, match that ratio so the generator is not forced to invent floor, limbs, or extra space around the person. If the destination is a story frame or a banner, say so and accept that the figure will be reframed. A mismatch can stretch a stance or crop a hem. A ratio setting is not a substitute for the two uploads.
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When the selected model offers resolution, pick the size you need to inspect face, closures, pattern repeats, hands, and hem. A larger still makes errors easier to see; it does not lock the source pixel for pixel, and it does not measure a body. Recheck the displayed credit cost after you change this option. Higher output is a review and budget decision, not a claim that the garment will fit.
An AI outfit generator on this route still needs two reference photos. Image 1 is the person. Image 2 is the clothing. You decide which parts of the person must remain, which garment details may transfer, and how far the new still can drift. The pictures below are illustrative image-to-image template stills, not before-and-after proof of a clothing change, and not verified try-on pairs.
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Pick Image 1 where the stance, camera height, and outline of the person are already right. A sharp full-body still with a readable face works better than a busy collage or a tiny crop of a garment on a hanger. If the pose is wrong, recrop or reshoot it first. Prompt notes cannot invent a stance Image 1 never held. The room still here is an illustrative template frame for keep-and-change discipline, not an outfit-change pair.
Keep the adult subject's face, pose, and camera height from Image 1. Dress the person in the clothing from Image 2: same lighting, no extra people, no new furniture.Run an AI outfit generator pass from two photos
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Write two short lists. Keep: face, pose, crop, or camera height from Image 1. Change: neckline, sleeves, color, or fabric from Image 2. Mixing those into one mood sentence hides why a result drifted. After each run, check the keep list first. If a keep item moved, try a simpler garment list instead of adding more adjectives. The sneaker still is an illustrative template source for a one-fact change list.
From Image 1, retain the face, pose, and three-quarter crop. Apply only the clothing from Image 2: same lighting, no extra accessories, no new logos.Run an AI outfit generator pass from two photos
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Use this path when the person already exists in Image 1 and you need a neighboring still wearing the garment from Image 2. You are not inventing the subject from a paragraph. That blank-page job belongs on the text-to-image generator. Compare every output to both files you uploaded. The bottle still is an illustrative template frame, not proof of a clothing rewrite.
Keep the adult face, scale, and front-facing crop from Image 1. Do not invent extra people. Apply the garment from Image 2 only: same camera height, quieter hands.Run an AI outfit generator pass from two photos
Use this AI outfit generator when the person already exists in a photo and you need a neighboring still in a different garment. Select a scenario to see the kind of source this workbench is for. A text prompt alone will not open this workbench, and one photo is not enough. The stills are illustrative template frames, not verified try-on pairs.
These frames come from VideoAny's model-page libraries and the shared image-to-image template. Treat them as sample sources you might study before you upload your own person and garment to this AI outfit generator, not as proven before-and-after case studies and not as verified try-on proof.
Illustrative references. Not verified VideoAny input/output pairs.
A crop that already shows the person is a better Image 1 than a mood collage. Crop to the figure before you ask for new clothes. Extra people in the frame will be interpreted. This pack board is an illustrative template still, not a try-on pair.
Illustrative source for a crop-aware rewrite. Not a verified AI outfit generator pair.
A full-length outfit still can take a new garment if you keep face, pose, and crop from Image 1 in the keep list. Broad restyle language is how extra accessories appear. Name the adult subject once, then list the one clothing change you actually want from Image 2.
Illustrative lookbook source for a clothing pass. Not verified try-on proof.
A clean figure on a plain field is easier to redress than a lifestyle crop with busy reflections. Hold face and pose; change only the garment fact. Inspect closures, pattern repeats, and hem against both uploads after the run. The sneaker board is an illustrative template for one-fact tests.
Illustrative board for one-fact tests from two sources. Not a verified AI outfit generator set.
This AI outfit generator is steered with two photos, notes, model, and crop. Name objects you can count. One clothing change is enough for a retry. There is no mask, region brush, inpaint control, strength slider, or separate virtual-try-on endpoint here.
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Desks, browsers, extra people, and stacked hangers will be interpreted. A cleaner source is the cheapest control you have. Keep the face and pose you care about inside Image 1, and keep neckline, sleeves, and hem readable in Image 2.
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A long change paragraph is how extra accessories, logos, and people appear. Write the keep list in objects from Image 1. Write the change list as one clothing fact from Image 2. If the first result drifts, shorten the change list rather than narrating the entire photo.
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Walk face, pose, closures, pattern repeats, and camera height. A handsome restyle that invents a second person has failed the keep list. Decide in advance which errors you will accept before you spend another run. Prompt-led editing is iterative; it is not a fitting room and it does not measure real-world fit.
Creator workflow notes
Working habits for a two-photo clothing rewrite, not user reviews
These notes describe common ways to run a keep-and-change pass on a person and a garment. They are not user reviews, ratings, or promises about a specific result.
Person rewrite
Image 1 workflow
“Keep face, pose, and camera height from Image 1. If a new person appears, the change list was too broad.”
Garment rewrite
Image 2 workflow
“Keep silhouette and angle of the person. Change only the clothing from Image 2. Inspect closures, fabric, and hem against both uploads.”
Finish rewrite
Illustration workflow
“Keep pose and staging lines. Name the garment in one clause. Check hands, eyes, and lettering before you accept the plate.”
An AI outfit generator search should still expect a credit line. New VideoAny accounts receive starter credits; each rewrite shows the cost for the selected model and options before you generate. Cover the two photos you upload, how far the still may drift, and what this page will not do.
The input is exactly two reference images plus notes. Image 1 supplies the person. Image 2 supplies the clothing. Write keep-and-change in plain language. Do not expect a mask, a region brush, a numeric strength control, or a separate virtual-try-on endpoint; those are not how this page is set up.
It requires exactly two reference images for submission: one person image and one clothing image. The upload counter moves from 0/2 as you add them. This workbench will not start from an empty prompt or from a single file.
Put the person in Image 1 and the garment in Image 2. That order matches the default prompt, which asks the model to dress the person in Image 1 in the clothing from Image 2. Upload only material you are authorized to edit.
Open Image 1, Image 2, and the new still side by side. Check face, pose, closures, pattern repeats, and camera height. A handsome restyle that invents a second person or a new garment has failed the keep list. Decide in advance which errors you will accept.
No. This page uses a multi-reference image-generation workflow with an outfit-specific prompt. It does not expose a separate virtual-try-on endpoint.
No. The default prompt asks the model to preserve the person and match garment fit, fabric, and color, but the output remains a synthetic image. Treat it as a visual concept. This page does not measure a body and does not promise real-world fit.
The model and options affect the credit cost shown before you generate. Limits vary with that selection. Review the line every time you change an option. After a still that holds Image 1, you can move it into motion. This page does not waive those limits or invent an open-ended run budget.
Seedream 5 Pro is the default choice, and Nano Banana 2 is also available in the outfit-page model selector. The strip of logos in the longform reuses the image-to-image template; only the models in this selector can run here. Read the displayed credit cost rather than reusing a number from another tool.
Write a text-to-image brief instead. Source files will keep pulling the still toward the uploads. For motion from the rewrite, continue in image-to-video.
Work in this order: two files, notes, selections, then inspection. These steps match the upload area, prompt field, and toolbar on this AI outfit generator. The picture is an illustrative board, not a screenshot of the live form.
Open the workbench and add exactly two stills. Crop Image 1 to the person: drop desks, browsers, and extra people that you do not want interpreted. Crop Image 2 to the garment: keep neckline, sleeves, color, and fabric readable. Confirm the person fills Image 1. A cleaner pair is the cheapest control you have. This editor will not start from an empty prompt.
Type the keep list from Image 1 first and the clothing-change list from Image 2 second. Leave Seedream 5 Pro selected unless you have a reason to switch to Nano Banana 2. Match aspect ratio to Image 1 unless the destination truly differs. Read the displayed credit cost and any limit for that combination, then generate. Do not expect a separate virtual-try-on endpoint.
Place the result next to both uploads. Walk face, pose, closures, pattern repeats, and camera height. If the clothes are wrong but the person held, change only the garment clause. If the person broke, simplify the change list or recrop Image 1.
Write the keep list, cap the retries, and define how close is close enough. Then load the two photos into this AI outfit generator and generate with those constraints in view.
Write the keep list in objects you can count from Image 1: face, pose, crop. Write the change list in one clothing fact from Image 2. If either list is a pile of adjectives, edit it before you upload. Put both lists next to the two source files. Every later note should still point at those lines.
Decide how many attempts this person-and-garment pair is worth before you recrop or reshoot. Read the displayed credit cost for the model and options you selected. When the retry budget is gone, accept the closest keep-list match or fix the sources. Starter credits are a finite retry budget, not an open-ended fitting room.
State whether a mood match is enough, whether the face must stay readable, or whether closures and hem must follow Image 2. That bar tells you when to stop and when to leave for a retoucher. Open the workbench after those three decisions are written. This page still returns a new still, not a measurement of real-world fit.
VideoAny AI
Run an AI outfit generator pass from two photos
Write the keep list, cap the retries, and define how close is close enough. Then load the two photos into this AI outfit generator and generate with those constraints in view.
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