How to Make AI Videos with Higgsfield: Complete Beginner
Shows beginner AI creators how to simplify prompting and video creation by integrating Higgsfield with ChatGPT via a plugin.
What this lesson covers
This video provides a beginner tutorial on linking a Higgsfield account with ChatGPT to generate AI videos without manually writing complex prompts. It demonstrates installing the Higgsfield plugin, sending natural language prompts in ChatGPT, and viewing the generated video output.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 01:43 ↗
Higgsfield functions as an aggregator offering image and video generation models under a unified platform.
- 02:35 ↗
Installing the Higgsfield plugin enables ChatGPT to communicate directly with a user's Higgsfield account for video generation.
- 04:05 ↗
Prompts sent through ChatGPT can specify video parameters such as duration, visual style (e.g., 2D animation), and aspect ratio for platforms like YouTube or Shorts.
- 04:45 ↗
Tagging `@Higgsfield` inside the ChatGPT prompt box invokes the plugin to handle model selection and video creation.
- 07:07 ↗
Generated videos created through the ChatGPT interface render using underlying models like Seedance 2.5 and consume account credits based on resolution settings.
Workflow outlined in the video
- Ensure active accounts are set up for both Higgsfield and ChatGPT.
- Use the Higgsfield plugin installation link to connect ChatGPT with your Higgsfield account and authorize access.
- Write a prompt in ChatGPT describing your desired video, specifying length, animation style, and layout (landscape or vertical).
- Include `@Higgsfield` in your prompt text to direct ChatGPT to send the generation request to Higgsfield.
- Review the resulting video in ChatGPT or log into the Higgsfield dashboard to inspect model parameters, prompt breakdowns, and credit usage.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
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How to interpret the numbers
1,600 views captured 20 September 2026. ReelStack recommendation score: 52/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 2.50× current views vs the channel's recent median; same-age history is not yet available. View-evidence factor 62% (views / (views + 1,000))
- 25% freshness: 76/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 46/100; likes + 4× comments, smoothed with a 500-view neutral prior