Silent plate then score
Generate silent, score with music after, when dialogue is not the point. Native audio is optional, not mandatory.
Page 2 of 4 of everything we’ve published on AI Video.
Generate silent, score with music after, when dialogue is not the point. Native audio is optional, not mandatory.
Wan v2.6 text-to-video can ship native audio. Wan 2.7 catalog rows may not. Read the row, not the family name.
Snapchat said it will no longer recommend wholly AI-generated videos in Spotlight. The generate can still exist; the recommendation slot is what moved.
Lock face, wardrobe, palette in stills. Video credits are the expensive way to discover the character drifted.
Arena entries are named dreamina-seedance-2.x. The model is callable elsewhere. You do not need ByteDance's consumer app to use 2.5.
When the post lives on X, Imagine's look and the native sharing path can be the point. It is not the general video engine.
The consumer app is one model family and one subscription. An aggregator bill lets you fail over when Omni is the wrong job.
Luma Ray 3, launched 18 September 2025, makes native 16-bit HDR video at 1080p for grading. On Versely, Luma runs as Ray 3.2 and Ray 2, in standard SDR.
If the model can speak in-shot, do not generate silent and slap TTS on unless you need a locked brand voice.
Motion brush, camera, world consistency. Weak on native audio and arena Elo. A director's tool, not a volume engine.
Sora app ended 26 April 2026. API ends 24 September 2026. Dialogue to Veo 3.1, 30s identity to Seedance 2.5, motion to Kling 3, talking stills to Happy Horse.
Earning on social is a counterparty question, not a posting-volume question. Who signs the cheque on YouTube, TikTok, Instagram, X, Snapchat and Threads — and which income model that points to.
X withholds Original Content Rewards when a post is created or posted using automated means. Publish a clip you reviewed. An auto-posted firehose fails.
A weighted five-axis rubric with written 1-5 anchors for every point, so a model bake-off produces a number you can defend a week later.
Twenty short prompts, each isolating one known failure axis, so a new model's weaknesses show up in an hour instead of halfway through a client project.
Three job types where an agent's model choice predictably goes wrong, and how to pin a named model in the brief without giving up routing everywhere else.
Emotion words return a stereotype. Eyeline, blink timing and independent brow movement are directable as physical actions — and here is where prompting stops.
Subject speed breaks video models before camera speed does. A per-frame overlap test that predicts limb doubling, plus the shot design that buys real headroom.
Pours, flame and volumetric smoke fail in three different ways. How to rank them, and a rule for what to generate, what to composite, and what to cut.
Generated footage reads wrong because imperfection is absent, not detail. A finishing order for grain, vignette and flare, and the amounts that hold up.
Alibaba quotes ~38 seconds per 1080p HappyHorse 1.1 clip on one H100. What a hardware-conditioned figure predicts about a hosted queue, and what it can't.
A single front-facing still cannot constrain a profile, so identity collapses on the turn. Build a multi-angle sheet, and keep the turn as a cut.
Meta's Muse Video sits fifth on Arena's text-to-video board and has never shipped. A four-question filter that strips unusable models out before you plan.
The nine facts that decide whether a video model fits a workflow, what each omission actually costs you, and how sparse most published model records really are.