# Spoken-caption applied demo

**12,023,605 views proved it** · 8 of Damon's swipes use this format

## What it is

The narrator is also the demo surface: the product goes onto their own face or body — by their own hand, or by someone else while the camera stays on them — in one continuous setup, and the text is their own transcribed speech. The captions bracket the runtime and drop out entirely through the application beats. Where the text is instead one line landed at the open and nothing after it, that is opening-line-self-demo.

## Why it works

Speech captions read as a person talking rather than a claim being made, and the silence through the middle puts nothing at all between the viewer and the thing happening on the skin. Because the frame never leaves the narrator, the before-state is still on screen when the result lands.

## The beats, in order

1. the narrator opens talking to the lens, captions running, the untreated surface visible
2. the product goes on in the same frame — the captions drop out here
3. the working step, still silent on screen
4. the removal or second pass, the surface starting to change
5. the narrator talking again over the finished surface, captions back, often refusing to claim the result

## On-screen text

the narrator's own speech transcribed — two-to-four-word karaoke cards with the spoken word highlighted, or one plain annotation per beat — bracketing the runtime and absent entirely through the application; nothing is ever pinned

## Camera

one fixed camera on the narrator's own face or body for the whole runtime, same distance and angle throughout, no cutaway and no second location; handheld drift is allowed, reframing is not

## Higgsfield — image prompt

```
vertical 9:16, {narrator described exactly} facing a fixed front camera in {their own real location described exactly}, {product described exactly} being worked onto {their own body area}, {a second person described exactly} reaching into frame if the product is applied for them, {light source}, phone-camera look, slight grain, no retouching, visible pores and skin texture, no on-screen text
```

## Higgsfield — motion

```
camera fixed at the same distance and angle for every beat (same seed); only the hands and the state of {body area} change, and the frame never cuts away
```

## Produce it

Paste those into the Higgsfield employee: https://higgsfield.ai/supercomputer/skills?employeeId=0d38d619-0ac2-45c9-bfd5-3371837ccad3

## The references in this folder

- **@luminance_red** — 12,023,605 views — https://www.instagram.com/p/DSAsIODDSf1/
- **@amidesai** — 3,135,329 views — https://www.instagram.com/p/DSV7eAxEol5/
- **@aq001_store** — 2,424,400 views — https://www.instagram.com/p/Da2RhmCBuxg/
- **@nicoledomuret** — 1,780,205 views — https://www.instagram.com/p/DSLt5NtjVVA/
- **@chxrryglowy** — 1,623,609 views — https://www.instagram.com/p/DSJlnx_EWbA/
- **@forbeaut_global** — 1,578,142 views — https://www.instagram.com/p/DUrxACsAMlZ/
- **@timewithelsa** — 674,762 views — https://www.instagram.com/p/DV4uorqiO-c/
- **@roots_follicle** — 141,544 views — https://www.instagram.com/p/DaobPh2tlxW/

Each `.md` beside this file is one reference torn down: its beats with
timestamps, what carries the value, how to shoot it, and its own prompts.
`frames/` holds the six beats of each as one picture.
