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.
66 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.
An AI video seed sets the starting noise. Same prompt, model version, and settings can replay a take. Change sampler, provider, or model and the lock slips.
Hailuo 2.3 three-beat prompts, motion language, Fast vs Standard. Run it on Versely.
Flux 3 video prompting for native audio and long takes: layered sound, staging, first/last-frame. Run t2v, i2v, and extend on Versely.
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 shot prompts, native audio cues, camera language, and fixes. Run the structure on Versely.
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.