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Localized Biscuit Ad Edit: Seamlessly Replace Biscuits with Ice Cream Bars

Creator · 卡尔

AI Video未知来源Added 08/12/2026Independently retested#电商广告#局部编辑
More tags (4)
#产品替换#以视频为参考#ref-to-videoSeedance 2.5
View original source ↗

Prompt

Make localized edits to the video based on 【@原视频】. Keep the types, shapes, colors, details, positions, time-freeze effects, motion effects, camera movements, orbiting trajectories, composition, lighting atmosphere, visual texture, audio content, and overall pacing of the fruit in the original video completely unchanged. Make only the following precise modification: remove all 【biscuits】 appearing in the original video, including their shapes, textures, colors, shadows, and motion trails. Replace them at the exact same spatial positions, relative sizes, frozen moments, and motion trajectories as the original 【biscuits】 with 【strawberry ice cream bar @草莓味图, apple ice cream bar @苹果味图, grape ice cream bar @葡萄味图, orange ice cream bar @橙子味图】. The 【ice cream bars】 must strictly reference the bottle shape, bottle cap, label, colors, materials, reflections, packaging details, and overall appearance. During the slow-motion breaking stage, the 【ice cream bars】 should contain thick jam in the center, with ice cream fragments scattering outward. Apart from “replacing the biscuits with ice cream bars,” all other visual and audio content must remain exactly as in the original. Do not remove or add any hats, clothing, people, dialogue, sound effects, text, LOGOs, or watermarks.
≡Provenance · verifiedPublished prompts are human-checked against the original post; platform-reconstructed prompts are not accepted.Compare with source ↗

Models & stability

Recommended models

Seedance 2.5
Stability
72 / 100
Cost
Low

Independent retest evidence

See what the same prompt generated in our test.

Retest output · not the creator's original
VideoGenerated evidenceAI judged

MiniMax H3 Max 768p

Sep 7, 2026

Retest score71.8
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claude-sonnet-5 · 77.3gpt-5.6-sol · 66.3gap · 11
  • Cross-model retest: the recommended model is Seedance 2.5, and this run used MiniMax H3 Max 768p. The result shows how the same prompt carries over to MiniMax H3 Max 768p; it does not show what the creator got with the original model.
  • The retest score is the mean of two AI judges (0–100) for this single generation. No person has reviewed it, and it is not a success rate.

Model and resolution follow the provider task receipt.

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Each detail page keeps the original result, the prompt, and retest evidence in one reading path.