# Night cars and red-lit silhouettes > A nocturnal edit combines a black-and-white portrait, reflective automotive detail, dark sports cars, blue tunnel scenes and a lone figure against red light and wet pavement. - Kind: Video - Page: https://meetreference.com/v/video-night-cars-and-red-lit-silhouettes-057b7d/ - Ready-to-use agent handoff: https://meetreference.com/v/video-night-cars-and-red-lit-silhouettes-057b7d/agent.txt - Authorship: Not stated - Made with: Not stated - Model: not stated - Built with: not stated - Style: Short films; cinematic, noir, high-contrast, neon-lit, automotive, minimal - Length and format: 23 sec, 16:9 (848x464 source) - Playback: a muted visual reference. The original soundtrack is available only at the source. - Shared by moonchild27 (preset curator) in Website: https://higgsfield.ai/start/katana/monochrome - 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. Adapt this visual language to a night-time product or character study, pairing a sharply lit monochrome close-up with wider environments in deep blue and red. Keep most of each image dark, using metal highlights, illuminated fixtures and wet pavement to define the subject. Alternate intimate details with centered environmental compositions for visual variety. 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 moody, cinematic sequence pairing a close-up portrait of a woman with shadowy road and vehicle imagery and a lone figure in a red-lit setting. - Color: Predominantly black, charcoal, and deep blue, with stark white highlights and vivid red-orange lights. - Type: Photorealistic portrait imagery mixed with highly stylized, graphic nighttime scenes. - Framing: The portrait is tightly framed; other scenes use distant vehicle silhouettes, bright headlights, horizontal light bands, and a centered human silhouette. - Structure: Alternates between a grayscale face and dark, sparse scenes featuring vehicles, road lights, and a figure against a glowing background. Storyboard, nine frames spread across the video: https://meetreference.com/media/video-night-cars-and-red-lit-silhouettes-057b7d/storyboard.webp - Frame 1 at 1.3s: https://meetreference.com/media/video-night-cars-and-red-lit-silhouettes-057b7d/f1.webp - Frame 2 at 3.9s: https://meetreference.com/media/video-night-cars-and-red-lit-silhouettes-057b7d/f2.webp - Frame 3 at 6.4s: https://meetreference.com/media/video-night-cars-and-red-lit-silhouettes-057b7d/f3.webp - Frame 4 at 9.0s: https://meetreference.com/media/video-night-cars-and-red-lit-silhouettes-057b7d/f4.webp - Frame 5 at 11.6s: https://meetreference.com/media/video-night-cars-and-red-lit-silhouettes-057b7d/f5.webp - Frame 6 at 14.2s: https://meetreference.com/media/video-night-cars-and-red-lit-silhouettes-057b7d/f6.webp - Frame 7 at 16.8s: https://meetreference.com/media/video-night-cars-and-red-lit-silhouettes-057b7d/f7.webp - Frame 8 at 19.3s: https://meetreference.com/media/video-night-cars-and-red-lit-silhouettes-057b7d/f8.webp - Frame 9 at 21.9s: https://meetreference.com/media/video-night-cars-and-red-lit-silhouettes-057b7d/f9.webp ## How it was made, per the creator - Notes: Higgsfield credits moonchild27 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/monochrome - Original post: https://higgsfield.ai/start/katana/monochrome - Discovery collection: https://higgsfield.ai/katana - Higgsfield Katana setup and workflow: https://higgsfield.ai/blog/higgsfield-katana