Character Consistency.

Describe the character once in exhaustive, specific detail — species, exact fur/skin/hair color with hex-style precision, eye color, outfit down to stitching, proportions, and one distinctive marking. Reuse that exact description word-for-word in every new prompt for this character, only changing the pose, camera angle, and background, so the model has the same fixed anchor text each time.

Generate a simple 4-panel turnaround of the character (front, side, back, three-quarter) as one reference image first. Feed that single reference image into every following generation instead of relying on text alone — tools that accept an image reference will match proportions and colors far more reliably than a text description repeated on its own.

Export 3D skeleton pose rigs and feed into ControlNet OpenPose while keeping your LoRA and fixed seed active. This decouples character identity from pose variance, keeping face structure, clothing details, and body ratios 100% consistent across complex animation sequences.

Set a master seed with consistent negative prompting against style changes. Use token weighting on facial landmarks (e.g., (defined jawline:1.2), (emerald green eyes:1.3)) to lock character features before varying emotional expressions.