MICTProduct video workflow
Create short product video concepts for launches, ecommerce pages, social posts, and ad storyboards. Start from a product photo, mockup, or prompt, then guide motion, camera, and visual style in MICT Studio.
A product video generator is a workflow for turning product photos, mockups, descriptions, or campaign ideas into short videos. In MICT, teams can use text-to-video or image-to-video with Wan 2.6 and Kling 3.0, but product fidelity depends on the source image, prompt, model behavior, and provider constraints.
Product videos work best when the visual anchor and the desired product motion are separated clearly.
Use a clean product photo, packaging render, ecommerce mockup, or a precise written description if no image is available.
Use image-to-video when product appearance matters; use text-to-video for early mood, category, or campaign concepts.
Specify push-in, orbit, reveal, macro detail, lighting movement, background, and the final hold frame.
Select aspect ratio, duration, quality, and resolution for ecommerce PDPs, launch pages, paid social, or creator briefs.
Review logos, labels, proportions, claims, and packaging details before using the output outside an internal concept stage.
Use these workflows when speed matters, but the clip still needs a clear creative direction.
Create hero concepts, reveal shots, and visual transitions for product launch pages and landing-page tests.
Animate packshots, product renders, and lifestyle mockups for PDP experiments and merchandising previews.
Explore camera moves and product benefit angles before briefing an editor, designer, or production team.
Show how a product could feel in motion when the real shoot or polished 3D render is not ready yet.
Start with a specific prompt, then change one variable at a time: model, duration, camera motion, or aspect ratio.
Image-to-video product hero shot, slow orbit around the bottle, soft studio reflections, clean white background, premium ecommerce feel, steady final hold.
Kling 3.0, 16:9, 10 seconds, image-to-video
A compact travel backpack opens on a wooden cafe table, morning light, smooth push-in, hands-free product reveal, modern direct-to-consumer brand mood.
Wan 2.6, 9:16, 10 seconds, social product concept
Macro close-up of a magnetic charging case snapping shut, subtle blue indicator light, shallow depth of field, clean tech product commercial style.
Wan 2.6, 16:9, 10 seconds, feature storyboard
Pick the workflow that matches the asset you already have.
| Scenario | Guidance |
|---|---|
| Use image-to-video when | You need the product image, package shape, or visual identity to anchor the first frame. |
| Use text-to-video when | You are testing a product category, lifestyle scene, or campaign mood before final assets exist. |
| Best channels | Launch pages, ecommerce PDPs, paid social tests, pitch decks, creator briefs, and internal concept reviews. |
| Quality checks | Review logo shape, label text, proportions, material finish, factual claims, and motion consistency. |
| Important limitation | AI video can alter fine product details, especially text, small logos, exact packaging geometry, and hands. |
Short answers for creators comparing AI video workflows.
Yes. MICT supports image-to-video workflows where a product photo or mockup anchors the first frame and the prompt describes motion. The result can still change details, so it is best for concepts, social clips, and previews unless your team reviews product accuracy carefully before publishing.
Clean product photos, packaging renders, mockups, and key visuals with one clear subject usually work best. Busy backgrounds, tiny label text, reflective surfaces, and multiple overlapping objects can reduce consistency. A short prompt that focuses on camera movement and lighting is often more reliable than a long prompt with many actions.
MICT can help ecommerce teams create product motion concepts, PDP test assets, and launch-page hero ideas. It should not replace final merchandising review. Before using output publicly, check that the product, packaging, claims, price context, and any uploaded assets comply with your brand rules and provider restrictions.
Start by testing Wan 2.6 and Kling 3.0 with the same prompt and format. Product results vary by prompt, source image, duration, aspect ratio, and model behavior. If exact product appearance matters, begin with image-to-video and compare outputs before spending more credits on variations.
AI video models are not a reliable way to preserve exact small text across motion. Labels, logos, UI details, and fine typography can distort between frames. For brand-sensitive product pages or ads, use AI output as a concept layer and add exact text, legal claims, or final packshots in post-production.
Open MICT Studio with the right mode selected, then generate your first version.