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A new outfit. The same source take.

Change clothes in an existing video without reshooting

Yes—AI video editors can attempt a wardrobe change using your existing footage. Add a clothing reference and describe the edit. Request the same person, movement and background, then review the full result: these details are not guaranteed to stay unchanged.

Genjutsu AI is an independent service, separate from Higgsfield and Runway, with its own account and credits.

ChangeThe selected outfit or garment.

Ask to preserveThe person, performance and shot.

ReviewIdentity, fabric edges and occlusion.

Prompt
281/10000

Inputs upload automatically for a credit quote. Only clicking Generate reserves credits and creates a task.

Genjutsu AI uses its own editing workflow. Clothing-only identity preservation has not been verified in a dedicated test on this page. Review the quote before generating and inspect the complete result. Sign in before uploading and generating.

Examples

Original clips and effect examples from Higgsfield, shown as references. Generation uses the original and your photo; results may vary.

Effect preview

From source footage to a reviewed edit

How to change an outfit in an existing video

Start with a short, clear shot and one garment change. The editor above starts in Object replacement, with a clothing prompt ready to edit.

  1. Choose the source clip

    Add a video you have permission to edit. Select a 4–30 second range in the clip editor; the chosen model may require a shorter clip. A 5–10 second test is a practical starting point, not a quality guarantee.

  2. Add the clothing reference

    Upload one image showing the desired garment. In Object replacement, new image references are assigned the object role. If you use several images, keep their garment details consistent and check the model-specific limits in the quote.

  3. Identify the garment and apply a prompt

    Describe the wearer’s position and original garment in the target field. Use @image1 for the first reference and @video1 for the source clip. Ask to preserve the face, hair, movement and background; add no unrelated scene changes.

  4. Review the quote, generate and inspect

    Sign in to continue. When input checks succeed, review the selected model, duration, resolution and credit quote before confirming generation. Compare the whole output with the source, then download the completed result if it meets your requirements.

Prepare a clothing edit →Read the complete beginner tutorial

Choose a reference that shows the clothing

The reference supplies the desired appearance. It is not a measured fitting simulation and does not guarantee an exact product match.

Useful details

Show the neckline, sleeves, hem, color and material in even light. For a full-body outfit, include the entire look. A worn garment or clear product image may provide useful guidance; its suitability still needs testing.

Reduce conflicting information

Avoid a collage of different garments, hidden sleeves, heavy filters or incompatible views. A face-only image gives little clothing information. Start with one clear reference before adding more angles.

The uploader accepts JPG/JPEG, PNG, WebP, HEIC and HEIF. Images must be at least 300 px on each side and no more than 30 MiB; the quote applies additional model-specific constraints. HEIC/HEIF previews depend on your browser.

Prompts for a focused wardrobe change

Apply a starting point below, then adapt the target description to your source. Applying a prompt preserves your selected files and switches the editor to Object replacement.

Try another outfit

Replace only the main person’s outfit in @video1 with the clothing shown in @image1. Preserve their face, hairstyle, body proportions, gestures, camera framing and background. Match the fabric to the source lighting and movement. Do not add people or copy the reference background.

Replace just the jacket

Replace only the main person’s outer jacket in @video1 with the jacket in @image1. Keep the face, hair, inner shirt, trousers, hands, actions and background unchanged. Match the jacket’s scale, light and contact with the body.

Change a shirt’s color

Change only the main person’s shirt in @video1 to the dark navy color shown in @image1. Keep the original shirt cut and fabric appearance. Preserve the face, hair, other clothing, movement, framing and background. Keep the color consistent throughout the clip.

These are editable prompt examples, not tested outputs or guarantees. The color example still needs a clothing reference in this workflow. Applying an example does not start generation.

Check the full clip, not just a good frame

Compare the beginning, middle and end, then watch turns, crossings and hand movements. A prompt asks for preservation; it cannot enforce an exact pixel match.

  • Person: check the face, hair, body proportions and every other person in the shot.
  • Movement: watch turns, arm occlusion, fast actions and contact with objects.
  • Clothing: inspect collars, cuffs, hems, folds, patterns, text and logos over time.
  • Shot: compare background details and framing. If preserving source audio, check the exported sound too.

Where video wardrobe editing is documented

The official sources below document wardrobe editing. They describe separate products and do not establish shared models, credits or output quality with this studio.

Genjutsu AI

Use the editor on this page to prepare an object replacement request with a clothing reference. Generation uses this service’s account, model routing and credit quote. Review the result for unintended changes.

Prepare a clothing edit →

Higgsfield Genjutsu

Its official Genjutsu guide lists Wardrobe change and describes Object Swap for a specified outfit or element in existing footage.

Read the official workflow

Runway Edit Studio

The official Edit Studio tutorial shows Change wardrobe. Its workflow edits a selected keyframe, previews the adjustment, then generates the video.

Read the official workflow

Official documentation checked on October 12, 2026. Features and limits can change; use each service’s current interface. No comparative generation test was run for this page.

Questions about changing clothes in a video

Can I use a phone video or an AI-generated clip?

You can select an existing video from your device; it does not need to be generated here. The uploader accepts common video formats. The clip, dimensions and references must pass the selected model’s input checks before generation.

Can I change only the clothes and keep the same face?

You can request an outfit-only edit in Object replacement and explicitly ask to preserve the face and hair. This workflow has no face lock or clothing mask, so identity and nearby details may still change. Inspect the full output; this page has no dedicated clothing-only test proving identity preservation.

Will the original movement, background and audio stay the same?

The source video guides the edit, but exact motion and background preservation are not guaranteed. Preserve source audio is a separate advanced setting and requires an audio track in the source. It does not create new speech or guarantee lip sync. Check both the visuals and the downloaded audio.

Do I need a clothing reference, even to change the color?

Yes, this app’s Object replacement workflow requires at least one object reference, including for the color prompt on this page. Use a clear garment image. Additional images do not guarantee better results and are subject to model-specific limits.

Can I change the outfit of just one person in a group?

Describe the wearer’s position at the clip start, original garment and a distinguishing feature. You can ask to keep everyone else unchanged, but a text target is not a tracking lock. Similar clothing, crossings and occlusion can cause edits to affect the wrong person.

Will logos, text, stripes and garment details be exact?

Exact reproduction is not guaranteed. Inspect those details across adjacent frames, especially near folds, sleeves and occlusion. For product work that requires exact branding or garment construction, allow for manual finishing and do not present an unverified edit as an exact try-on result.

How long can the clip be, and how much does generation cost?

The app’s clip selector accepts 4–30 seconds, with shorter limits on some models: Omni currently supports up to 15 seconds and Wan Video Edit up to 10 seconds. Select a shorter range from long footage. Cost depends on the route, length, resolution and any reference preparation; review the quote before confirming. This page does not promise free generation.

See this service’s credit plansFind the official Higgsfield entry

Find a related tool, a practical guide, or the credit plan for your next edit.