1. Text-to-Video vs. Image-to-Video: Strategic Differences
While Text-to-Video (T2V) allows boundless creative brainstorming, it requires the model to hallucinate both identity and motion trajectory simultaneously. This often leads to identity drifting—where a character's facial structure or clothing changes over a 4-second sequence.
Image-to-Video (I2V) solves this fundamental limitation. By first generating a high-definition 4K portrait or concept scene in the Image Generator and feeding it as a keyframe, you lock in visual fidelity, color palette, and lighting before directing motion.
2. Prompting for Direction: Camera Trajectories
Rather than telling the model what to feel, describe explicit three-dimensional camera movements:
"Smooth aerial drone perspective descending from above pine canopy toward a foggy Nordic mountain lake, consistent linear velocity."
"Camera dollying backward while focal length zooms forward simultaneously, subject remains static size while background perspective expands dramatically."
"Slow 180-degree clockwise orbital rotation around the protagonist, shallow depth of field, background light streaks blurring gracefully."
3. Overcoming Temporal Artifacts & Frame Morphing
The most common failure in generative video is jittering or hallucinatory morphing, where inanimate objects sprout limbs or transform into other shapes. Mitigate this by:
- Limiting fast multi-subject interactions in a single 4-second clip.
- Specifying physical rigidity keywords like "solid titanium architecture", "unbending marble pillars", or "consistent structural integrity".
- Using frame interpolation algorithms (RIFE / FILM) to transition between keyframes at 60 FPS.