---
id: "entity-higgsfield"
type: "entity"
entityType: "organization"
canonicalName: "Higgsfield"
aliases: ["Higgsfield AI"]
source_timestamps: ["00:04:37", "00:04:41"]
tags: ["ai-video", "ai-image", "api", "generative-media"]
related: ["concept-higgsfield-mcp", "concept-beat-image-video", "concept-face-lock"]
canonicalUrl: "https://higgsfield.ai/"
sources: ["alex"]
sourceVaultSlug: "claude-skills-content-automation-2026May14"
originDay: 1
---
# Higgsfield

## Description

**Higgsfield** is an AI company specializing in image and video generation. Models referenced in the video include *Higgsfield Image 2* and cinematic motion video models. Higgsfield exposes a Model Context Protocol (MCP) connector that integrates directly with [[entity-claude-d1]].

## Role in this vault

Higgsfield's MCP is the substrate for the three flagship visual workflows demonstrated:

- [[concept-higgsfield-mcp]] — the integration itself.
- [[concept-beat-image-video]] — script-to-storyboard generation.
- [[concept-face-lock]] — identity-preserving thumbnails (see [[action-build-thumbnail-skill]]).
- [[action-install-higgsfield-mcp]] — installation steps.

## Caveat (from enrichment)

Public documentation for a specific "Higgsfield MCP" connector is sparse as of the enrichment pass — the integration pattern is technically standard (matching how OpenAI/Anthropic generally expose tools to LLMs), but operational specifics (latency, file formats, auth flow) are creator-reported rather than vendor-spec.