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Coffee AI Video

Coffee AI Video Prompt

What the prompt has to get right, and why you do not need to write it.

Updated Nov 1, 2026 · Independent tool. Not affiliated with, endorsed by or sponsored by TikTok, CapCut, any coffee brand or any creator of the trend.

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Three choices and one tap. The shot list, the timing and the prompt are already built.

01 Add two photos, one person each

Front-facing selfies in good light work best. One face per photo; the two do not need to be taken together.

02 Pick the template

03 Model, quality and format

Standard · 720p · 9:16Change model, resolution or format 10 credits

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The coffee ai video prompt

The coffee ai video prompt has to do three things at once: copy the motion of a reference clip, keep two different people looking like their photos, and put every spill on the right second. On Coffee AI Video that is already built in, so there is nothing to type. Make the video from your photos.

What the prompt has to solve

  1. The reference clip. The skit is a precise piece of movement, with a spoon, a kettle and a jug. Words alone do not describe it, so the model needs the original clip to follow.
  2. Two identities. Two people are in the shot, each one from a different photo. The model has to keep them apart, and the person standing further back is the hardest to keep.
  3. The timing. The first miss lands around 2 seconds, and the milk tips at about 12. Move that around and the joke stops working.

Why copied prompts fail

People post about the same few failures. The first is both faces turning into one face, because a pasted prompt has no way of saying which photo is which person. The second is the milk arriving early or never, because the timing lived in the reference clip and not in the text. The third is a mug that fills itself or a kettle that pours into nothing, because the model fills a gap with what is most common. The fourth is the wrong roles, with the person who should pour holding the spoon.

Each failure costs a paid attempt, and the fix is rarely another sentence in the prompt. If you want the cost side, read how to make the video, which compares the built-in route with doing it yourself.

What is built in here

The motion reference, the prompt for each template and the settings are fixed, so every render follows the same shot list. You choose who is in the shot and which kitchen. The video model is Seedance 2.0 / 2.5, made by ByteDance, and you pick the tier in the generator. Results can still vary, as faces and hands drift a little, but the order of the beats stays the same. To pick a role, browse the templates.

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Examples

The trend in the wild

Remixes creators shared publicly, with the trend sound added. They show the skit, not renders from this site.

Three steps, no spills

How to do the coffee ai video trend

No timeline editing and no prompt writing. The disaster is already choreographed, you bring the faces.

01

Upload your photos

One clear photo for solo templates, or one for each person on couple templates. Your face, hair and outfit come from the photo.

02

Pick the template

Choose one of 6 templates: a couple, two friends, or you alone in a role you pick.

03

Download and post

Get the 14–15-second MP4 with the trend sound already on it, add your caption and post.

Questions

FAQ

Is there a coffee ai video prompt I can copy and paste?

Prompts are passed around in tutorials, but a prompt alone does not make this video: it also needs a motion reference and the right inputs. On Coffee AI Video all of it is built in, so there is nothing to type.

Why does a copied prompt give a different result?

A copied coffee ai video prompt gives a different result because text cannot carry the motion, the two faces or the exact seconds. Without the reference clip the spill happens at the wrong moment, and without separate inputs for each person the faces blend. Coffee AI Video supplies all three.

Which AI model does the prompt run on?

Coffee AI Video uses Seedance 2.0 / 2.5 by ByteDance.

Your coffee disaster is one upload away

Upload a photo, pick the template, generate.

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