Filtering a huge model catalog down to eight
An elimination protocol that takes 296 models to 8 in five ordered gates: input modality, duration ceiling, audio, licence, credit band. Refill quarterly.
Every guide, comparison and workflow we’ve published on Video Generation.
68 articles — page 1 of 3
An elimination protocol that takes 296 models to 8 in five ordered gates: input modality, duration ceiling, audio, licence, credit band. Refill quarterly.
Single-image, three-slot and nine-slot reference models compared: which shots improve past three references, which just get slower, and a shot-type table.
Six spec numbers that promise more than they deliver: max duration, resolution, reference count, fps, native audio, multi-shot, and one test to run on each.
Some models reach 2K by regenerating a low-res render; others generate high-res natively. What each does to fine detail, temporal stability and render time.
A 15-second ceiling is rarely 15 usable seconds. The three ways long clips fall apart, a ladder test to find your safe duration, and where to place the cut.
Native-audio models treat 'no talking' as a cue to talk. Convert every negative into a positive audio state, with worked before-and-after prompts.
A seed initializes AI video starting noise. Same prompt plus same seed can replay a take; it is not a lock across samplers.
A practical Hailuo 2.3 prompting guide: prompt structure, motion and physics language, Fast vs Standard tiers, and fixes for common failure modes.
Flux 3 video prompting for native audio and long takes: layered soundscape cues, staging language, and first/last-frame prompts for continuous shots.
LTX 2.3 prompting guide built on iteration: the one-variable rule, a fast-to-pro draft ladder, retake prompting for broken segments, and prompt deltas.
Wan 2.7 prompting guide across all three modes: text-to-video scenes, image-to-video frame direction, and reference-to-video with voice-driven speech.
AI video resolutions explained, 480p to 4K: what models natively output, why resolution costs so much, platform compression truths, and when 4K pays off.
Make sports highlight videos with AI: clip triage, beat-synced hype edits, speed ramps, AI upscaling for phone footage, and stat captions that pop.
Seedance 2.0 prompting guide for trend-speed video: vertical-first prompts, reference-to-video direction, energy cues, and the failure modes to dodge.
Kling O3 prompting guide: camera grammar that lands, cause-and-effect motion cues, image-to-video direction, and fixes for the classic failure modes.
Make history videos with AI: research workflow, colorized archival looks, Ken Burns motion, documentary narration, and chapter pacing that retains viewers.
Image-to-video vs reference-to-video explained: one animates your exact frame, the other recasts your subject in new scenes. When to use each, simply.
VEO 3.1 prompting guide: a shot-based prompt structure, dialogue and native audio cues, camera language, and before/after fixes for weak prompts.
Make kids' story videos with AI: rhyming scripts, storybook illustration style, multi-scene chaining, warm narration, and gentle pacing children follow.
Why AI video artifacts happen — morphing hands, flicker, identity drift, garbled text — traced to their causes, with the fixes that actually work today.
Canva vs Versely for video work: a design suite with video features against a dedicated AI video engine. Where each wins, and how creators combine them.
How text-to-video models work, explained for creators: diffusion, latent space, and temporal attention — and why knowing this makes your prompts better.
Make a game trailer with AI: escalation structure, reference-to-video for character consistency, cinematic model picks, and a score with real risers.
Turn listing photos into a real estate walkthrough video with AI: image-to-video camera moves, room-by-room sequencing, voiceover, and export settings.