One photo in · Same face, same outfit · Nothing to download
Same person, same clothes, same light, standing differently. The shot gets restaged, not reshot.
A real pose change, produced by the model this page uses. Drag the divider: the denim jacket, the ponytail, the white trainers and the grey backdrop are unchanged, but she has turned, shifted her weight and crossed her arms. Every output is AI-generated, so your own result varies with the photo you upload — read this as a guide to what the tool does, not a fixed result you will get back.


Drag to compare before and after
It restages the person already in your photograph. You describe a different stance — arms folded, hands in pockets, torso turned away, weight dropped onto one hip — and the shot comes back with the body rebuilt in that position while the face, clothing, lighting and backdrop stay where they were. It answers a request people phrase almost identically every time: make a different pose, same photo. The usual alternatives are worse.
Reshooting means getting the outfit, the location and the light back; a 3D posing app means building a figure that is not you; cutting and pasting limbs in an editor means fighting the shadows for an hour. Here the whole thing is a sentence.
The restaging runs on the Nano Banana image model, in the browser, with free credits to start. Start from your existing shot — the flow defaults to image-to-image — pick the format, and the credit estimate updates before you commit; a failed run is refunded automatically (unless it broke the content policy). What it needs is room.
A full-length or three-quarter shot with the limbs visible and a plain-ish background gives the model something to work with, because it has to redraw the space the arms used to occupy. A tight head-and-shoulders crop has almost nothing to restage, and a busy background is where the repair work shows.
Creative engine
Upload a photo, describe the stance you want, pick the format, and the credit estimate updates before you generate.
Rebuilds the stance — arms, torso rotation, weight, head tilt — from a plain-language description.
Keeps the face, outfit, lighting and background, so the result reads as the same shoot rather than a new photo.
Works in the browser with free credits — nothing to install, no rigging, no 3D figure to pose. The pose changer moves the person. To move the camera instead, the camera angle changer re-shoots the same subject from a new viewpoint, and the selfie generator picks pose and framing together.
From one photo to a different stance, with the cost shown before you commit.
Full-length or three-quarter, limbs visible, background not too busy. The model has to redraw whatever the arms and legs move away from.
Name the parts: where the arms go, which way the torso turns, which leg takes the weight, where the eyes look. Vague requests come back barely changed.
Generate, then keep the stance that looks least staged. A failed run is refunded (unless it broke the content policy), so trying a second stance costs nothing but the wait.
Listings that need variety, portfolios short on angles, awkward group photos.
Turn a single clothing photo into a small set of stances for a listing or a lookbook, without booking the model and the studio again.
Everyone has the one good picture where they are standing like a passport photo. Loosen the stance and keep the face that came out well.
Keep a character in the same outfit and light across several poses, so a sequence of images reads as one person on one day.
Common questions about changing how someone stands in a photo on Kavel.
More specific than feels necessary. Naming four things — arms, torso direction, weight-bearing leg, head — reliably produces a real change. Asking for a better pose or a more natural pose usually returns something almost identical to the original, because nothing in that request tells the model what to move.
Generally yes, and it is the part to check first on every run. The face is copied through the edit rather than regenerated, so it holds up well from a clear front-facing source. Where identity drifts is when the new stance turns the head far away from the camera and the model has to invent a profile it has never seen.
It can, and hands are still the weak point — this is worth knowing before you plan a shot around them. Fingers wrapped around an arm or interlocked in front of the body come out wrong often enough that it is worth checking closely and rerunning. Simpler positions, such as arms folded or hands in pockets, land far more reliably.
A plain or softly blurred background survives cleanly. A detailed one — shelves, tiles, a patterned wall, text on a sign — is where you see the repair, because the area the body used to cover has to be reconstructed from what surrounds it. Simple backdrops are the reason studio-style shots restage best.
Not by uploading that picture as a second reference here — this flow takes one image and a description. What works instead is describing the stance in that reference in words: the angle of the shoulders, where the hands sit, which way the hips face. The description is the interface.
It should not, and it is not meant to. The instruction is about position, not proportions, so build, height and body shape are carried through. If they shift, the prompt usually asked for a shape word alongside the stance — remove it and rerun.
The estimate reflects the format and resolution in the form, so the cost is visible first. Failed runs are refunded automatically (unless it broke the content policy), and new accounts start with free credits — enough to try a second stance before spending anything.
The image itself is yours to use, but the permission question does not change: a model release covers the shots that were taken, and a restaged frame is a new image of that person. Check what your release says before publishing one. Retention of the upload is covered in the privacy policy.
One credit pool covers Nano Banana images and Seedance and Veo video. The cost shows before every run, and failed jobs are not charged. Use a subscription for ongoing work, or a one-time pack when you just need to top up.
What's included
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What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
One-time top-ups — buy extra credits any time you run low.
What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
Charges appear as “KAVEL AI” on your card statement. You can cancel any time from Settings → Billing; cancellation takes effect at the end of the period you already paid for.
Powered by
Use one balance across every supported image and video model — eleven of them today, listed below — and check the credit cost before each request.
Video models
Image models
Model credit guide
You're only charged for successful generations. The exact estimate in the generator varies by model, length, resolution, audio, and number of images.
| Type | Model | Credit cost |
|---|---|---|
| Video | Seedance 2.5 | The long-take tier, priced per second: 5s 480p ≈ 211 credits, 5s 720p ≈ 473. A full 30s take runs ≈ 1,260 at 480p and ≈ 2,835 at 720p. Supplying a reference clip lowers the per-second rate. |
| Video | Seedance 2.0 | 5s 720p image-to-video ≈ 188 credits; text-to-video ≈ 308 credits. Scales with resolution and length. |
| Video | Seedance 2 Fast | Faster and lower cost. 5s 720p text-to-video ≈ 248 credits. |
| Video | Seedance 2 Mini | The cheapest Seedance tier. 5s 720p ≈ 154 credits, 5s 480p ≈ 72 credits. |
| Video | Seedance 1.5 Pro | Audio doubles the rate. 5s 720p ≈ 27 credits silent, ≈ 53 with audio; 1080p ≈ 57 and ≈ 113. |
| Video | Veo 3.1 | Billed per video, not per second (Lite tier). About 45 credits at 720p and 53 at 1080p. |
| Video | Kling 3.0 | Audio raises the rate. 5s 720p ≈ 105 credits silent, ≈ 150 with audio; 1080p ≈ 135 and ≈ 203. |
| Video | MiniMax H3 | Fixed 2K, no resolution ladder. Priced per second — a 5s clip ≈ 158 credits. |
| Image | Nano Banana 2 | Generate or edit from text and images. About 8 credits per 1K image, 12 at 2K, 18 at 4K. |
| Image | Nano Banana Pro | Consistent run times across generations. About 12 credits per 1K or 2K image, 21 at 4K. |
| Image | Nano Banana 2 Lite | Faster, simpler variant. A flat 8 credits per image at every resolution. Start here to test. |
| Image | GPT Image 2 | The lowest-cost image model here. About 3 credits per 1K image, 6 at 2K, 12 at 4K. |
| Image | Seedream 5.0 Lite | Flat pricing — about 8 credits per image whether you generate or edit. |
Describe the stance and the shot gets restaged. Same person, same clothes, same light — that is the whole test.