Refund & Credit Claim Policy

Notice: This product is AI-based software. Artificial intelligence is not perfect—outputs can vary, and the system can make mistakes. This page describes refunds and credits; it does not promise error-free or identical results every time.

Example garment reference — front view for the Front upload field — Pick a garment type (Tops, Dresses, Saree, Bottoms). Each card is one field (Front, Back, Right, Left): green = correct angle for that slot; red = wrong photo placed in that slot. If you lack a proper angle, leave the field empty—do not substitute another view. Wrong-angle uploads can produce misleading results; those images are not refundable.

Sample reference input 1 — front-style garment view (illustration only) — These files are static examples only. Refunds and credits are decided from your actual uploads and job outputs, together with this policy—not these sample images.

Sample reference input 2 — another angle (illustration only) — These files are static examples only. Refunds and credits are decided from your actual uploads and job outputs, together with this policy—not these sample images.

May eligible — reference input vs output examples

Eligible-side examples: input thumbnails, output issue labels or image previews, refundable badge, and policy note per row
Index	Output (issues)	Policy note
1	Extra or missing body parts Wrong background or theme Unrealistic or broken-looking image	When your reference input is acceptable but the generated output shows one of these serious defects—and your dispute matches an eligible scenario in this policy (for example a documented technical failure or major system fault)—a refund or credit may be considered. Minor style variance alone does not qualify.
2	Extra or missing body parts Completely wrong pose	This is a valid example of a refund case. The AI completely changed the product, making it a clear technical failure.
3	Completely wrong product	This is a valid example of a refund case. The AI completely changed the product, making it a clear technical failure.
4	Completely wrong product Major unintended change to model face	This is a valid example of a refund case. The AI completely changed the product, making it a clear technical failure.

Not eligible — input / output examples

Examples where uploads or outputs are not eligible for a refund; input and output cells use image thumbnails
Index	Input should be	Policy note
1		Not refundable when reference uploads hide essential garment details for example print, neckline, or construction covered by hair, hands, or accessories. If the true design cannot be seen clearly, we cannot treat the result as a provable system error against your product; that is treated as an incomplete or low-clarity input, which is not eligible for a refund or credit under this policy.
2		Not refundable when the product is photographed flat on a surface (for example lying on the floor) without clear scale or structure, so proportions such as length, width, and fit cannot be inferred reliably. Poorly framed or ambiguous reference photos are treated as a user-side input issue; outputs from those uploads are not eligible for a refund or credit.
3		Not refundable when the product is heavily cropped, shot at the wrong angle for the requested field, or otherwise too incomplete for the garment to be identified clearly. If reviewers cannot reliably tell what item or view you supplied, the generation is treated as an insufficient or mismatched input not a covered system failure and is not eligible for a refund or credit.
4		Not refundable when prints, seams, hardware, or other defining features are not clearly visible in your reference due to blur, glare, low resolution, low contrast, or the garment being too small in frame. If the product cannot be identified or verified from the upload, outputs are treated as an unclear-input issue and are not eligible for a refund or credit.
5	-	Not eligible for a refund when the primary product is obscured by accessories, layers, or external items such as a dupatta, handbag, or props that hide essential garment details. If the true design is covered or obstructed in the reference upload, the generation is treated as an unclear input and is not eligible for a refund or credit.

Steps for Cropping & Uploading

Optimizing your uploads helps the AI produce the most accurate results.

Step 1Ensure the garment is the main focus of the image, minimizing unnecessary background.

Step 2Crop closely around the product while keeping all essential details (seams, prints) visible.

Step 3Keep a balanced frame so the garment's proportions remain natural and clear for the AI.

Step 4Finally : Ensure your cropped image mirrors the visual standard shown here, then upload it to the matching field.

Overview

This policy defines the conditions under which users can request credit refunds or reprocessing for images generated using our AI system.

Our system generates images based on:

Model Face Input
Product/Garment Image
Theme/Style Input

Notice — upload the correct view for each field

For each view or pose field (such as front, back, left, and right), upload only an image that matches that view—front-facing shots in the front slot, true back view in the back slot, and the same idea for left and right.
If you do not have a correct image for a field, do not upload anything there—do not use a substitute, unrelated, or “closest match” photo.
Uploading the wrong image for a slot can produce incorrect results by design; generations from incorrect or mismatched uploads are not eligible for a refund or credit.

Due to the probabilistic nature of AI, not all outputs can be guaranteed to match expectations exactly.

Eligible Refund / Credit Claim Conditions

Users may claim a refund (or credit reissue) under the following valid failure scenarios:

Notice: For product or garment inputs, the best and preferred reference is a clear mannequin shot (e.g. front view on a mannequin or ghost mannequin)—well lit, in focus, and showing the full item. That makes it much easier to judge serious mismatches (such as the wrong garment) versus normal AI variation. Other product photos may still be used, but reviews are fairest when your upload matches this standard.

Reference example 1 — accurate valid output — Visual references for guidance only — each claim is reviewed on its own merits.

Reference example 2 — accurate valid output — Visual references for guidance only — each claim is reviewed on its own merits.

A. Technical Failures

Image not generated (blank output / failed job)
Corrupted or broken image file
System crash during generation (credits deducted but no output)
API or server error

B. Major AI Generation Errors

Incorrect number of body parts (extra hands, missing limbs, distorted anatomy)
Severely deformed face or body
Unrecognizable or broken human structure

C. Input Mismatch (System Fault Only)

Uploaded model face not used at all
Completely wrong garment applied (if user upload proper clear view of garment image)
Wrong background/theme not related to reference theme
Pose direction completely incorrect (e.g., asked front view, got full back)

Important: Must be clearly a system failure, not minor variation.

D. Safety / Unreal Output Issues

Explicit or unsafe unexpected content (not requested)
NSFW(not safe for work) or policy-violating outputs generated unintentionally
Highly unrealistic/AI-broken textures (melting clothing, fused objects)

Not Eligible for Refund

Notice: Claims are not valid when they are based on low-quality uploads—for example low-resolution, blurry, dark or overexposed, heavily compressed, watermarked, or unclear product or model images. Poor outputs that mainly result from poor inputs do not qualify for a refund or credit under this section.

Reference example 4 — lower accuracy output — Visual references for guidance only — each claim is reviewed on its own merits.

Reference example — output that would typically not qualify for a refund under this policy — Visual references for guidance only — each claim is reviewed on its own merits.

A. Subjective Dissatisfaction

“I don’t like the image”
“Model doesn’t look attractive”
“Style is not premium enough”
“Lighting/color not as expected”

B. Minor Variations (Expected AI Behavior)

Slight pose variation (cropped body part, slightly wrong direction or angle)
Minor facial differences
Small garment fitting differences
Background style variation within theme/theme can vary in all outputs

C. Prompt Issues (User Responsibility)

Poor or unclear input
Conflicting instructions (user not upload proper image as asked in input)
Low-quality uploaded images
Wrong product input
Wrong view for the slot (e.g. side or back photo uploaded as “front,” or any angle that does not match the field label)
Filler or unrelated uploads when the correct reference is unavailable instead of leaving that field empty
Outputs caused by uploading the wrong image for a slot—those generations are not refunded

D. Expected AI Limitations

Fabric physics imperfections
Minor texture artifacts
Slight asymmetry and directions
Small hand/finger imperfections (unless extreme)

E. Abuse / Misuse

Bulk refund requests for valid outputs
Repeated claims on same output

How to submit a refund or credit request

A refund or credit request is created when you complete and submit the in-app dispute form for a finished generation.

Open the job or catalog row for the generation you want reviewed (status should show as completed / ready when outputs are available).
Click Raise Dispute (flag icon) on that row to open the “Submit your issue” form.
Choose an Issue Type from the dropdown, then fill in Other Issue Details with a clear explanation (this field is required).
Under Select image(s), tick every output that your dispute applies to, or use Select All if the issue affects the whole set shown.
Click Submit. That submission creates your refund or credit request in our system; we will review it against this policy.

Completed catalog job row with timestamps, Ready status, and action icons including Raise Dispute (flag) — Step 1: On your completed job row, click Raise Dispute (flag icon) in the actions on the right.

Submit your issue dialog with Issue Type, Other Issue Details, selected output thumbnails, and Submit button — Step 2: In Submit your issue, choose Issue Type, enter Other Issue Details, select the output image(s), then click Submit.

Include enough detail (what went wrong, which inputs you used, and what you expected) so we can match your case to the eligible conditions above.

Approved claims — credit return timing

When we approve a refund or credit claim for a charged image generation, we restore the credits that were deducted for that generation.

Timing: Restored credits are applied to your account within two (2) working days (business days, excluding weekends and public holidays) from the date your claim is approved.

Index

Input images

Output (issues)

Output (previews)

Policy note

Example user reference input — clear product and model

Extra or missing body parts
Wrong background or theme
Unrealistic or broken-looking image

Example generated catalog output for input set A

When your reference input is acceptable but the generated output shows one of these serious defects—and your dispute matches an eligible scenario in this policy (for example a documented technical failure or major system fault)—a refund or credit may be considered. Minor style variance alone does not qualify.

Extra or missing body parts
Completely wrong pose

This is a valid example of a refund case. The AI completely changed the product, making it a clear technical failure.

Completely wrong product

This is a valid example of a refund case. The AI completely changed the product, making it a clear technical failure.

Completely wrong product
Major unintended change to model face

This is a valid example of a refund case. The AI completely changed the product, making it a clear technical failure.

Index

Input images

Input should be

Output images

Policy note

Example user input image A — primary product reference

Example user input image A — additional angle or detail (optional multi-upload demo)

Not refundable when reference uploads hide essential garment details for example print, neckline, or construction covered by hair, hands, or accessories. If the true design cannot be seen clearly, we cannot treat the result as a provable system error against your product; that is treated as an incomplete or low-clarity input, which is not eligible for a refund or credit under this policy.

Example generated catalog output for input B

Not refundable when the product is photographed flat on a surface (for example lying on the floor) without clear scale or structure, so proportions such as length, width, and fit cannot be inferred reliably. Poorly framed or ambiguous reference photos are treated as a user-side input issue; outputs from those uploads are not eligible for a refund or credit.

Example generated catalog output for input C

Not refundable when the product is heavily cropped, shot at the wrong angle for the requested field, or otherwise too incomplete for the garment to be identified clearly. If reviewers cannot reliably tell what item or view you supplied, the generation is treated as an insufficient or mismatched input not a covered system failure and is not eligible for a refund or credit.

Example user input image D — design or product features hard to see

Example generated catalog output for input D

Not refundable when prints, seams, hardware, or other defining features are not clearly visible in your reference due to blur, glare, low resolution, low contrast, or the garment being too small in frame. If the product cannot be identified or verified from the upload, outputs are treated as an unclear-input issue and are not eligible for a refund or credit.

Not eligible for a refund when the primary product is obscured by accessories, layers, or external items such as a dupatta, handbag, or props that hide essential garment details. If the true design is covered or obstructed in the reference upload, the generation is treated as an unclear input and is not eligible for a refund or credit.

Recommended product uploads versus incorrect slot uploads

Reference inputs and example outputs

Reference inputs

Generated outputs

May eligible — reference input vs output examples

Not eligible — input / output examples

Steps for Cropping & Uploading

Overview