# Football silhouettes and scan portraits

> A football-themed graphic study pairs red and white athlete silhouettes with scan-textured portraits, a pale boot product image, and bold MODEL 10 and NAVAR title cards on black.

- Kind: Video
- Page: https://meetreference.com/v/video-football-silhouettes-and-scan-portraits-fd58e2/
- Ready-to-use agent handoff: https://meetreference.com/v/video-football-silhouettes-and-scan-portraits-fd58e2/agent.txt
- Authorship: Not stated
- Made with: Not stated
- Model: not stated
- Built with: not stated
- Style: Motion graphics; technical, sports, high-contrast, scan-textured, minimalist, typographic
- Length and format: 21 sec, 16:9 (1280x720 source)
- Playback: a muted visual reference. The original soundtrack is available only at the source.
- Shared by willow77 (preset curator) in Website: https://higgsfield.ai/start/katana/futuristic-3d-motion-scan
- Prompt fidelity: Unavailable in this entry. The recreation brief is written by Reference.

## Before you start

Guidance from Reference, separate from the creator's instructions.

1. Read the reference and inspect the project, installed libraries, and available agent skills before writing code. Reuse suitable tools already present.
2. Prefer the creator-reported libraries and skills when they fit the task. Explain what useful additions help with, and install missing project dependencies or relevant skills from official sources when the environment and the user's existing permissions allow it. Respect the project's package manager and setup rules; do not ask again for routine setup already authorized.
3. Distinguish tools used by the creator from your own recommendations. A listed tool is not automatically required, and an empty tools or requirements list means the setup is unknown, not that nothing is needed.
4. Ask concise questions when missing inputs or choices materially affect the result: paid services, credentials, the user's assets, or a different production approach. Use existing answers and permissions; continue independent work while waiting.
5. If a useful library, skill, or service cannot be installed or used, explain an available alternative and its expected effect on quality, features, or effort. Get the user's choice before a material compromise; otherwise state the fallback and continue. Never silently simplify the result or claim to have used a tool you did not use.

Requirements reported by the source: Higgsfield Katana and your own reference images..

## Recreating this video

This is a visual reference. No original creator prompt is available. The following brief was written by Reference after inspecting the work.

Build a technical identity study for another sport using isolated poses, a close portrait and one equipment image. Keep most backgrounds black, reserve one bright accent for selected figures, and pair oversized sans-serif names with tiny schematic labels. Use fine scan textures on portraits to contrast with clean, flat silhouettes.

1. Open the live work or source and inspect the frame images below.
2. Adapt its layout, hierarchy, palette, and interaction patterns to the user's own content and brand.
3. Compare the result against the reference. Use your own assets and credit the original creator.

## What it looks like

Written by Reference from the video frames, not by the creator.

A sleek technical motion study combining athletic silhouettes, a scanned human face, and model-identification graphics.

- Color: Predominantly black and charcoal, with bright white figures and lettering, vivid red accents, and muted lime-green scan tones.
- Type: Bold geometric sans-serif display lettering, paired with small, widely spaced technical labels and numerals.
- Framing: Minimal, high-contrast layouts with isolated figures or scan imagery against dark backgrounds; large titles and labels anchor several frames.
- Structure: A sequence of graphic title cards, stylized running and pose studies, a close-up facial scan, and model-number identification panels.

Storyboard, nine frames spread across the video: https://meetreference.com/media/video-football-silhouettes-and-scan-portraits-fd58e2/storyboard.webp

- Frame 1 at 1.1s: https://meetreference.com/media/video-football-silhouettes-and-scan-portraits-fd58e2/f1.webp
- Frame 2 at 3.4s: https://meetreference.com/media/video-football-silhouettes-and-scan-portraits-fd58e2/f2.webp
- Frame 3 at 5.7s: https://meetreference.com/media/video-football-silhouettes-and-scan-portraits-fd58e2/f3.webp
- Frame 4 at 8.0s: https://meetreference.com/media/video-football-silhouettes-and-scan-portraits-fd58e2/f4.webp
- Frame 5 at 10.3s: https://meetreference.com/media/video-football-silhouettes-and-scan-portraits-fd58e2/f5.webp
- Frame 6 at 12.6s: https://meetreference.com/media/video-football-silhouettes-and-scan-portraits-fd58e2/f6.webp
- Frame 7 at 14.9s: https://meetreference.com/media/video-football-silhouettes-and-scan-portraits-fd58e2/f7.webp
- Frame 8 at 17.2s: https://meetreference.com/media/video-football-silhouettes-and-scan-portraits-fd58e2/f8.webp
- Frame 9 at 19.5s: https://meetreference.com/media/video-football-silhouettes-and-scan-portraits-fd58e2/f9.webp

## How it was made, per the creator

- Notes: Higgsfield credits willow77 as the preset curator. The original reference-footage maker and its authorship method are not identified in the public preset record. This entry shows the preset reference edit, not a verified AI-generated result.

## Links

- Watch: https://higgsfield.ai/start/katana/futuristic-3d-motion-scan
- Original post: https://higgsfield.ai/start/katana/futuristic-3d-motion-scan
- Discovery collection: https://higgsfield.ai/katana
- Higgsfield Katana setup and workflow: https://higgsfield.ai/blog/higgsfield-katana