Claude Opus 5.5 Directs Higgsfield From One Agent
Demonstrates how connecting an LLM agent directly to Higgsfield enables continuous asset generation and video rendering within a single conversational workspace.
What this lesson covers
Diego Galvao presents a step-by-step workflow for directing an AI music video using Claude Opus 5.5 connected directly to Higgsfield. He covers character sheet creation, scene generation, video prompt execution with Seedance 2.5, and final timeline editing in Premiere Pro.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 01:14 ↗
Connect Higgsfield to Claude using the integration page link to trigger image and video rendering directly from a single chat thread.
- 02:00 ↗
Direct the agent to create character sheets from initial reference images before prompting for full story scenes.
- 03:08 ↗
Adjust shot composition by explicitly requesting specific framing like Dutch angles and removing unwanted visual elements in follow-up prompts.
- 05:13 ↗
Configure video generation parameters in the prompt by naming models like Seedance 2.5 alongside 1080p resolution and specific segment durations.
- 06:40 ↗
Upload local audio files or external reference assets directly through Higgsfield's interface when requested by the agent.
Workflow outlined in the video
- Link Higgsfield to a Claude session using the authorization interface.
- Provide creative reference images and request a full character sheet breakdown to maintain subject design.
- Instruct the agent to split the screenplay into key visual story beats.
- Refine scene outputs by prompting specific composition changes (such as Dutch angles) and filtering out undesirable artifacts.
- Generate 10-second video segments using Seedance 2.5 at 1080p resolution referencing the generated image IDs.
- Download generated clips and trim the video sequence to the beat of your music track inside Premiere Pro.
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.
Explore the tools
How to interpret the numbers
394 views captured 27 September 2026. ReelStack recommendation score: 37/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 1.32× views vs 3 other channel videos observed at a similar age. View-evidence factor 28% (views / (views + 1,000))
- 25% freshness: 88/100 with a 14-day half-life
- 20% momentum: 144 views/day vs 93 channel baseline (3 comparable uploads), with the same view-evidence factor
- 10% engagement: 41/100; likes + 4× comments, smoothed with a 500-view neutral prior