Found Footage
Mall Parking Lot CCTV AI Photo Prompt
Upper mall deck camera: shopping cart rolls itself, wet tire trail, crash into pillar - Gemini Omni.
The Prompt
cctv-mall-parking-lot.md
Style: Real commercial shopping mall surveillance footage, high corner-mounted security camera overlooking an upper deck. Wide-angle lens, slightly washed-out and desaturated digital color profile. Faint scanlines, digital compression artifacts, and "{{camera_label}}" text overlay with a ticking timestamp in the corner. Static frame. Lighting: Harsh, cold blue-white light from high-pressure sodium floodlights. Massive, stark shadows cast by concrete pillars and the concrete perimeter walls. High digital grain in the unlit areas. Location: {{location}} Audio: Distant highway traffic, low hum of the massive mall ventilation units, a faint metallic rattle of shopping carts. Chronological Storyline: 0-3 sec: Empty parking deck. Shadows stretch across the empty spaces. The metal shopping carts inside the corral are perfectly still. 3-6 sec: {{anomaly_enter}} 6-8 sec: {{anomaly_build}} 8-10 sec: {{anomaly_peak}} Strict Constraints: {{negative_prompt}} Google Gemini Omni commercial parking-deck clip.
Negative prompt
Included when you copy the prompt
monsters, ghosts, dramatic orchestral music, jump scare, cinematic lighting, smooth camera pan, dolly zoom, stylized color grade, music, jump scare, visible monsters, CGI creature, gore, blood spray, exaggerated acting, face close-up scream, glowing red eyes, floating ghost, VHS overload, random camera shake, oversaturated neon horror look, text watermark, logo watermark
Fill in your details below - this prompt updates as you type, then copy it.
Fill in your details
0 of 6 filled. Preview updates as you type - then copy the finished prompt (negative prompt included when present).
cctv-mall-parking-lot.md
Prompt preview
Style: Real commercial shopping mall surveillance footage, high corner-mounted security camera overlooking an upper deck. Wide-angle lens, slightly washed-out and desaturated digital color profile. Faint scanlines, digital compression artifacts, and "{{camera_label}}" text overlay with a ticking timestamp in the corner. Static frame. Lighting: Harsh, cold blue-white light from high-pressure sodium floodlights. Massive, stark shadows cast by concrete pillars and the concrete perimeter walls. High digital grain in the unlit areas. Location: {{location}} Audio: Distant highway traffic, low hum of the massive mall ventilation units, a faint metallic rattle of shopping carts. Chronological Storyline: 0-3 sec: Empty parking deck. Shadows stretch across the empty spaces. The metal shopping carts inside the corral are perfectly still. 3-6 sec: {{anomaly_enter}} 6-8 sec: {{anomaly_build}} 8-10 sec: {{anomaly_peak}} Strict Constraints: {{negative_prompt}} Google Gemini Omni commercial parking-deck clip.
Examples
Example input
Example 1 - Cart + tire trail (canonical) camera_label: DECK C - SECTION 4 location: An empty, sprawling multi-level concrete shopping mall parking deck at night. A metal shopping cart corral sits in the middle ground under a bright light. anomaly_enter: Inside the metal corral, one lone shopping cart slowly and smoothly rolls backward out of the corral on its own, steering itself out onto the open concrete driving lane. anomaly_build: On the asphalt behind the rolling cart, a dark wet trail of tire-tracks slowly spreads and forms on the dry concrete, tracing a path as if a heavy vehicle is reversing, though no car is visible. anomaly_peak: The rolling shopping cart suddenly accelerates and crashes violently into a concrete support pillar. Simultaneously, the security feed suffers a heavy digital compression glitch, stuttering briefly before cutting to a solid gray screen. negative_prompt: monsters, ghosts, dramatic orchestral music, jump scare Example 2 - Cart only camera_label: DECK C - SECTION 4 location: Same deck; no wet tire trail anomaly_enter: One cart rolls itself out of the corral onto the lane. anomaly_build: Cart continues in a slow straight line with no person pushing it. anomaly_peak: Cart hits a pillar; compression glitch → solid gray. negative_prompt: monsters, ghosts, dramatic orchestral music, jump scare
What you should get
Example 1: Mall deck cam - self-rolling cart → invisible wet tire trail → crash + gray screen. Example 2: Cart-only crash ending. Mundane objects with unnatural intent.
How to use this AI photo prompt
- Upload a clear reference photo of your face (well-lit, front-facing works best).
- Fill any placeholders on this page, then tap Copy Prompt.
- Paste into Gemini (also works with Runway, Firefly) and generate.
- Keep your face locked - only wardrobe, pose, and scene should change.
Privacy: If you attach a face reference, do it in the AI tool. Codextroop Prompt Library never receives or stores your photos.
Works best with Gemini / Runway / Firefly
Identity-preserving image-to-image prompts need a strong face reference. Avoid heavy beauty filters on the upload and use the negative prompt when your tool supports it.
Tips for better found footage results
- Match the example aspect ratio when your tool allows it (often 4:5 for portraits).
- If the face drifts, re-upload a sharper photo and keep the same prompt text.
- Copy related found footage prompts below to try alternate looks with the same identity lock.
When to use this prompt
Use it when
- You need help with commercial cctv horror.
- You need help with gemini omni.
Skip it when
- You only need a one-line ask with no constraints, format, or context.
- You cannot supply the fill-in details the template asks for.
- You want a modern digital look or heavy filter effect instead of the era/style this prompt targets.
How to get a good result
Done when
Example 1: Mall deck cam - self-rolling cart → invisible wet tire trail → crash + gray screen. Example 2: Cart-only crash ending. Mundane objects with unnatural intent.
Common mistakes
- Leaving camera_label, location, anomaly_enter vague - the model then invents placeholders.
- Asking Gemini, Runway, or Firefly for a shorter answer after a long structured prompt - that throws away the format rules.
- Stopping when the first draft appears instead of checking it against the success criteria below.
FAQ
- What do I fill in before I copy this prompt?
- Replace these placeholders with your details: camera_label, location, anomaly_enter, anomaly_build, anomaly_peak, negative_prompt. Required fields are marked on the page. The prompt text updates as you type.
- Which AI tools is this prompt written for?
- It works best with Gemini, Runway, Firefly. Copy the filled prompt and paste it into the tool you already use.
- What should a good result look like?
- Example 1: Mall deck cam - self-rolling cart → invisible wet tire trail → crash + gray screen. Example 2: Cart-only crash ending. Mundane objects with unnatural intent.
- What are common mistakes with this prompt?
- Leaving camera_label, location, anomaly_enter vague - the model then invents placeholders. Asking Gemini, Runway, or Firefly for a shorter answer after a long structured prompt - that throws away the format rules. Stopping when the first draft appears instead of checking it against the success criteria below.
Best for
- Commercial CCTV horror
- Gemini Omni
Related Prompts
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