higgsfield-video-explainer

Generates narrated explainer videos from 10-second blocks using the Higgsfield CLI.

Updated Sep 6, 2026
One-click install
npx skills add https://github.com/AbuBakar125-co/Resturant_web --skill higgsfield-video-explainer-abubakar125-co
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: higgsfield-video-explainer
Source: https://github.com/AbuBakar125-co/Resturant_web/tree/main/.agents/skills/higgsfield-video-explainer
Command: npx skills add https://github.com/AbuBakar125-co/Resturant_web --skill higgsfield-video-explainer-abubakar125-co

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Producing a consistent narrated explainer video requires coordinating style references, voiceover generation, per-scene video clips, and final assembly, which is error-prone when done manually across separate tools. ## Core Features & Use Cases - Block-based pipeline: Splits a topic into fixed 10-second blocks, generating one Seed Audio narration take and one Gemini Omni clip per block, then assembling them server-side with explainer_video. - Style consistency: Locks one universal style key from live CMS presets, custom style descriptions, or style-reference images, and reuses it across every clip to prevent style drift. - Flexible output options: Supports mascot or faceless modes, 16:9 or 9:16 aspect ratios, multiple narration languages, and optional burned subtitles. - Use Case: Turn a researched topic like the history of the pyramids into a five-minute animated narrated video with a consistent flat 2D vector style and a single narrator voice. ## Quick Start Ask the assistant to make a narrated explainer video about your chosen topic, then pick a visual style preset, duration, language, and voice when prompted.

Frequently Asked Questions about higgsfield-video-explainer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I make a narrated explainer video with Higgsfield?

Run the video-explainer workflow through the higgsfield CLI: pick a style preset, set duration and language, generate one Seed Audio narration take and one Gemini Omni 10-second clip per block, then assemble them with the explainer_video model into a final MP4.

How does the skill keep visual style consistent across video clips?

It creates or resolves one universal style-key image from a CMS preset, custom description, or style-reference images, then attaches that same key to every clip and repeats the same STYLE descriptor and non-photorealism negatives in every prompt.

What video formats and durations does the explainer workflow support?

Videos are built from fixed 10-second blocks, with total durations of one to ten minutes. Output supports 16:9 (1280x720) or 9:16 vertical (720x1280) aspect ratios, with optional burned subtitles in patrick, caveat, marker, or anton fonts.

Can I use my own images as a style reference for the video?

Yes, you can pass local style-reference images with repeated --image flags or use uploaded media IDs. Only the rendering style and color grading are borrowed; people, text, logos, and objects from the references are never copied.

When should I not use the explainer video workflow?

Avoid it for photorealistic films, ads or UGC content, talking-head videos, podcasts, motion typography reels, one-off clips without narration, or editing an already finished video. It is designed strictly for non-photoreal narrated explainers.

What happens if a clip or voice generation job fails?

Only the failed block is regenerated or re-submitted; running jobs are rejoined with higgsfield generate wait rather than duplicated. Two identical failures indicate the prompt or parameters must change before retrying.