01
Recommended
Three-image product view
Front product image + back image + detail image
Suitable for most clothing SKUs on product pages and standard social posts.
AI Clothes Video · Three-image protocol
Turn three matched clothing images into a more controllable product video.
Upload front, back, and detail images of the same garment. The system checks what each image proves, then creates product-page or social video shots supported by that material.
The first trial is one low-resolution, silent, watermarked 8-second video using low-risk shots only.
01 / Why three images
One image shows what the product is. Three images define how far the video may go.
The main risk in clothing video is not too little motion. It is invented backs, silhouettes, or details. Confirm that all three images belong to the same SKU, then let each shot use the corresponding evidence.
| Source image | Can support | Cannot be inferred |
|---|---|---|
| Front product image | Front silhouette, visible graphics, slow push or pan | Back construction, hidden vents, or back graphics |
| Back or side image | The real structure from that view | Continuous rotation through angles that were not uploaded |
| Detail image | Visible fabric, collar, cuff, or print | Unseen texture or construction details |
02 / Upload by role
Choose the three-image mode before preparing the material
02
Paid Beta
Product rotation (Paid Beta)
Product-only front + side + back
Available only after same-garment consistency checks pass. A style preset cannot select it automatically.
03
Paid Beta
Model turn (Paid Beta)
Same model and garment: front + side + back
The garment and visible model must pass task-level consistency checks. The uploader must hold likeness and commercial-use rights.
Beta modes are not default capabilities. If the material does not qualify, the system asks for another image or uses a lower-risk presentation instead of forcing a rotation or turn.
03 / Four control points
Each step narrows uncertainty before delivery
Control does not make the model bolder. It reduces decisions that lack evidence.
- 01
Assigned upload roles
Each image has an explicit slot, so the system does not guess whether it is front, back, or detail.
- 02
Same-garment responsibility
Confirm that all images show the same SKU. Subject views receive task-level checks. You must still confirm that the detail image matches the same garment.
- 03
Shot permissions
Unsupported shots are removed before style presets influence recommendations. Prompts cannot override these permissions.
- 04
Post-generation QA
Generated segments are frame-checked, stitched into one video, and recorded with a delivery status.
04 / Real evidence
See three source images become one complete video
01
Front appearance
02
Side appearance
03
Back appearance
- Style
- Minimal studio
- Result status
- Real workflow sample
This is a real workflow result. Different garments, source quality, and shot combinations produce different results.
05 / Evaluate the material first
When the material fits, and when the request should stop
Suitable
- Three clear, complete product images show the same SKU.
- You need a fast product-page or social testing video.
- You accept that shot selection changes with source-image boundaries.
Not suitable
- The images show different garments, colors, or silhouettes.
- Only a front image is available, but the request requires a full back, 360-degree rotation, or model turn.
- The goal requires exact complex performance, narrative advertising, or an unphotographed scene.
06 / Common questions
Clarify the boundaries before starting
More questions about images, rights, and generationWhich three images should I upload?
The recommended set is front, back, and detail. Product rotation and model turn have fixed three-image requirements and remain Paid Beta.
Can three images guarantee that the garment never changes?
No. Generative video remains uncertain. The workflow reduces risk with subject-view consistency checks, shot limits, and post-generation QA.
Can I generate a back view without a back image?
No. The system does not infer a real back construction from a front image.
Can I try it free?
New users can create one low-resolution, silent, watermarked 8-second video using low-risk shots only.
07 / Practical guides
Make the next generation easier to evaluate
Prepare missing evidence, choose a useful duration, and review garment consistency before publishing.
Have three images of the same garment ready?
Create one 8-second trial video to see which shots your material can support.