Upscale an AI video without exposing that it is AI
Topaz Starlight Precise 2.6 and FLUX Video Upscale: which to try first, settings, list prices, and before-and-after video from our own upscale.
What things cost, what breaks, and what we can actually measure. Prices and findings carry the date they were taken.
Guides
Practical guides to making AI video, built from our own takes, invoices and logs.
Featured collection
The AI-video market changes every week. We are tracking it: dated prices now, comparable quality tests as they are run.
Quality scoring is not published yet. A rubric has to be defined and applied to more than one test round before any ranking would mean anything.
ComparisonsDated prices and like-for-like tests.
GuidesHow to direct a shot and evaluate the result.
Product notesWorkflow decisions, measurements and changes.
Topaz Starlight Precise 2.6 and FLUX Video Upscale: which to try first, settings, list prices, and before-and-after video from our own upscale.
What 5 seconds of Wan 3.0, Kling 4.0, Seedance 2.5 and other models cost at list price on each platform, why Wan is cheaper for new shots and Kling for edits, and when a monthly plan beats paying as you go.
Picks by job from our own runs, and a dated table of what each free plan includes. Runway, Kling, Veo, Luma, Pika, Firefly, HeyGen, Synthesia, Canva, CapCut and InVideo.
Kling 4.0, Seedance 2.5, Wan 3.0 and Veo 3.1 compared on price, specs, audio and what happened in our own takes, with the failures left in.
Raw generation, retakes, sound, upscaling and human time, separated, with real numbers from a 30-second film and an interactive estimator.
Which AI video models generate speech and lip sync in the same pass, what went wrong in our tests, and when to use a voice tool or a lip-sync pass.
How AI video ads and UGC-style clips get made without filming: production steps, deliverables, real examples, limits and disclosure rules.
Recasting people, locations and colours in a finished clip: four replacement routes judged on whether the people still move, why Wan 3.0 needs short runs, and why outpainting 9:16 to 16:9 shows.
Measured generation times from 69 of our own runs, the length limit per generation, and five ways to connect scenes into a longer film.
Seven takes from one reel in MiniMax H3 and Google Flow: a camera locked to the subject, a crane to top-down in two seconds, how far small moves really went, the four-beat flight, and a camera skill to download.
How to turn a photo into a realistic AI video, with real input pictures, the videos they produced, the exact prompts, model settings and costs.
What an AI video generator does, how text, image and reference generation differ, and the working route from an idea to a finished film. The place to start.
One miniature comedy scene shows how model choice and specialised prompt skills affect picture consistency, dialogue, camera moves and production costs.
Which AI tool to use for each editing job: prompt edits, video to video, background and object removal, recasting and restyling, with costs from our own runs.
One selfie clip, seven ways to change the room and the clothes around the speaker: restyle, cut-out and photo-avatar routes, with the process, prompts and a reusable template.
How to keep the same character, location, lighting and camera angle across AI video shots: reference sheets, empty location frames, shared frames, and why fewer references work better.
Seedance 2.5 Video Edit, Beeble SwitchX, Gemini Omni Flash, Higgsfield Genjutsu, Runway Aleph 2.0 and Kling O1 Edit for changing one thing in a finished clip, with a real Genjutsu job and the objects it missed.
Six running-commercial takes show how the reference frame, prompt direction and model choice combine to shape the final ad.
A published “flat” per-second rate excluded the resolution we actually wanted. Reconciliation against one paid run exposed the 4.4× gap.
Sixteen service and model combinations reduced to a per-second rate, with the resolution, pricing basis and limits that make the headline numbers unlike each other.