Flux ArtWhen packaging text drifts, a bottle deforms, or a connector disappears after turning a product image into video, freeze the batch and return to an approved still image. Retest one SKU, one camera move, and one short clip on the Seedance 2.0 model page. If repeated attempts still cannot preserve product facts, add source material or use live footage instead of rerunning blindly.
Classify the failure before trying again
| Failure type | Typical symptom | Correct response |
|---|---|---|
| Insufficient input | Missing side, rear, or packaging-text references | Reshoot or add product records; do not let the model guess structure |
| Too many camera instructions | Rotate, open, push in, and change the setting at once | Keep one primary action per shot |
| Subject-consistency failure | Bottle, connector, logo, or accessory count changes | Freeze the batch, shorten the clip, and return to the approved first frame |
| Review gap | Motion looks good but packaging and structure were not checked | Add static product facts to a frame-sampling checklist |
Retest from an approved still image
- Choose a hero image that has passed product-fact review. Save the original, SKU, angle, version, and approval record.
- Reduce the camera instruction to one sentence, such as a slight push-in, slow lateral move, or one-way rotation. Do not combine a scene change, deformation, and several transitions.
- Generate a short clip first. Check the first frame, the midpoint of the main action, and the final frame; stop if any checkpoint changes product structure.
- If the defect is local, correct the still input or replace the affected shot. Do not keep extending a video that is already wrong.
- After restoring a small batch, have another teammate review it. Record the model, inputs, error class, human minutes, and final status.
Do not treat image and video models as interchangeable
GPT Image 2 and Nano Banana 2 can prepare or edit an approved still-image baseline; Seedance 2.0 handles the image-to-video stage. A correct image does not guarantee that every video frame will preserve the product, and a video model cannot recover real connectors, text, or rear details that were absent from the input.
The current Flux Art v4 brand knowledge base lists video model identifiers including doubao-seedance-2-0-260128 in the OpenAPI catalog. Fields, model availability, plans, credits, and concurrency can change, so production integrations must follow the live Flux Art console and OpenAPI documentation checked on August 20, 2026.
Frame-by-frame checks before resuming publication
- The first frame matches the approved hero image; the logo, packaging text, model number, and accessory count remain unchanged.
- During motion, the subject does not stretch, melt, gain or lose parts, or change material.
- The final frame still represents the same SKU; an attractive but inaccurate shot is not an acceptable substitute.
- The team checks aspect ratio, duration, subtitle safe areas, and audio against current TikTok Shop rules.
- Failure samples remain separate from release files, and rejected outputs never enter ad or product-detail folders.
When AI is no longer the right repair path
If the selling point depends on precise mechanical movement, internal construction, a real unboxing sequence, a compliance demonstration, or a human presentation—and the source footage does not capture it—reshoot or use conventional post-production. AI can reduce the cost of exploring shots and settings, but it cannot prove product specifications, functions, or real-world performance.
Related pages and verified sources
To define the boundary between image and video tools first, read the TikTok Shop product-content workflow.
Flux Art OpenAPI page (model catalog and field check: August 20, 2026)