What affects AI photo-to-video cost?

The biggest cost drivers are duration, resolution, model choice, audio generation, retries, and whether the final export needs HD or no watermark.

How can I lower generation cost?

Start with short silent previews, keep motion simple, and only export HD after you find a result worth using.

Why does FrameVela AI use credits?

Credits make generation costs predictable for users while covering provider fees, retries, storage, payment fees, and service operation.

Guide / Pricing

AI Photo-to-Video Cost Guide

AI video generation has real provider cost. A good product flow should help users test quickly, avoid waste, and only spend more credits when a result is worth exporting.

See FrameVela AI Credits

What Drives Cost

Duration

Longer videos require more model compute. Start with short clips for testing.

Resolution

HD and no-watermark exports should be reserved for results you plan to publish.

Retries

Unclear photos or aggressive prompts can force users to regenerate, increasing cost.

How FrameVela AI Keeps It Practical

Short preview first

The default flow favors quick previews before paid exports.

Silent by default

Audio is not generated by default because many social clips use platform music or captions.

Credits instead of subscriptions

Creators can buy only what they need while testing content ideas.