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Higgsfield

Every image and video model

Category
AI
Primary Subcategory
Pending
View in the ChatGPT registry
Integration details

Description

Create images, videos, branded content, and websites with Higgsfield in ChatGPT. Start with an idea, product photo, or reference image, then choose from Viral and Marketing Studio presets, creative recipes, or image and video models. Refine your results through conversation. With Higgsfield, you can: • Browse Viral presets with /effects and Marketing Studio presets with /product, /motion, or /marketing-studio. Explore creative recipes and named workflows such as /hero-shot, /reel-cover, and /genjutsu. • Generate images and videos from text or reference images. Turn a product photo into image ads in different styles, short video ads with different hooks, or a complete set of promotional content. • Create UGC product videos, reviews, unboxings, tutorials, fashion try-ons, faceless explainers, and episodes with a consistent AI presenter. Write scripts, generate narration, and add subtitles. • Use Ad Multiplier to create targeted variations of an existing video, or edit footage with animated text, layouts, transitions, motion graphics, and effects. • Build and deploy websites, web apps, and browser games. Refine the design and update your hosted project through chat. Connect your Higgsfield account to get started.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
AI

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-06-23
Tool count
17
Geography
US

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Higgsfield has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
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Tools

17 tools agents can invoke

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The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.