Summary
Regenerating the same AI video shot over and over is one of the fastest ways to burn through credits. This tutorial lays out a repeatable system for planning, building, and generating consistent AI videos so fewer generations are wasted.
The workflow starts in Claude, which is connected to Higgsfield through MCP. Claude helps design three characters, a baker, a mechanic, and a florist, by offering options one question at a time, then writes prompts for each. Those prompts produce character sheets in Higgsfield’s Cinema Studio with GPT Image 2.5, showing a front view, back view, and face close-up. The video shows how to fix small errors, such as a wrong nose piercing, with inpainting instead of regenerating the whole image. Prop sheets for tools and empty location images are created the same way.
Only then does video generation begin. Using Seedance 2.5, each 5-second shot is first tested at 480p, which costs about 15 credits instead of 80 at full quality, and only approved shots are re-rendered at higher resolution. Each prompt uses a single action and a single camera move, and specifies what to take from each reference image. Creators working with AI video will find a practical method for improving consistency while keeping costs down.
📺 Source: Youri van Hofwegen · Published October 26, 2026
🏷️ Format: Tutorial Demo
