August 12, 2026
Your first AI video: the method for not blowing your budget
An AI video costs between 26 and 330 credits depending on the model and resolution. Here is how to validate your shot as an image for 1 to 7 credits before animating anything, set duration and resolution intelligently, and avoid the mistakes that drain an account in a single evening.
The trap of the first attempt
The scene is a classic. A Friday evening, a clip idea in your head, you open a video generator, you type "a knight rides through a misty forest at sunrise", you click Generate. Three minutes of waiting. The result arrives: the knight has his back turned, the forest looks like a city park, the mist is gone. Twenty-six credits gone, and you do not even have a usable shot.
The problem is not the model. Kling 2.5 Turbo, which produced that failed knight, is an excellent generator. The problem is the method: with direct text-to-video, you pay the full price of an animation to discover a composition you could have validated as a still image for a cent. It is like printing an entire book to proofread the first chapter.
This article details the opposite method, the one used by creators who make it through a whole month on a €13 Starter subscription: validate every shot as an image, then animate that image. With the real numbers, the real failures, and what Imaginode refunds and what it does not.
What a video generation really costs
Let's set the orders of magnitude, because the entire reasoning flows from them. On Imaginode, 1 credit is worth about €0.01. Kling 2.5 Turbo charges around 26 credits for 5 seconds, or €0.26. Seedance 2.0 Fast climbs to about 48 credits for 5 seconds in 720p. And the full Seedance 2.0, in 4K, reaches about 330 credits for 5 seconds: more than €3 per clip.
On the other side of the ledger, an image costs between 1 credit (Flux Schnell) and 7 credits (Flux 2 Pro). In other words, a single failed video equals 4 or 5 complete image explorations, with a dozen attempts each. That ratio of 1 to 30, sometimes 1 to 300, is the only statistic you need to remember before clicking Generate.
One guardrail exists: the exact cost is displayed on the Generate button before you click. No billing surprises; the price is written in plain sight at the moment of decision. Get in the habit of reading it. Plenty of beginners discover after the fact that they launched a high-end model out of pure reflex.
BalanceWhy direct text-to-video is a gamble
When you send a prompt straight to a video model, you delegate everything to it: the framing, the light, the character's face, the color palette, and the motion. Five decisions at once, all discovered after payment. Statistically, it only takes one of them going wrong for the shot to be unusable.
And let's say it plainly: AI video still fails often. Count on roughly one generation in three or four going straight to the trash, because of misshapen hands, on-screen text that melts, or dubious physics, the kind of glass that passes through a table. On a 48-credit attempt, every failure hurts. Across three direct attempts, you have spent 144 credits for maybe two decent shots.
Another thing to know before you start: an ugly but technically delivered result stays paid for. Only technical failures on the provider's side are refunded. The platform does not judge your knight's aesthetics, it only checks that the file exists. Hence the point of shrinking, as much as possible, what the video model can get wrong.
The method: validate as an image first
The principle fits in one sentence: never ask a video model to invent a composition, ask it to animate an image you have already approved. On the Imaginode canvas, add an Image node, write your prompt, generate. The result is there within seconds, for 1 to 7 credits depending on the model.
Don't like the image? Edit the prompt and run it again. Every node keeps the history of its last 12 generations, so you can compare versions side by side and go back to the third one if the eighth turns out worse. That is a luxury you do not have in video, where every comparison would cost at least 26 credits.
When the image is exactly the one you want, framing included, it becomes the first frame of your video. The video model now has only one job left: making what already exists move. You have just turned a bet with five unknowns into a bet with a single one.
Which image model for that first frame
For roughing things out, Flux Schnell at 1 credit is unbeatable. Ten composition attempts cost 10 credits, or €0.10. It is the disposable draft par excellence: fast, not always refined in the details, but plenty good enough to judge a framing and a light.
Once the composition is found, regenerate the final version with a more polished model: Flux Pro 1.1 or Imagen 4 at 6 credits, or Flux 2 Pro at 7 credits if you want maximum detail. If your shot features a recurring character defined in a Reference node, Seedream 5 Lite at 5 credits is the champion at staying faithful to references.
Tally for a serious exploration: about fifteen credits, drafts included. Cheaper than a single failed Kling video. And you go into the animation step with a certainty that direct text-to-video will never give you: you already know what your shot is going to look like.
Plugging the image into the Video node
On the canvas, drag a cable from the Image node's output port to the Video node. The input dot lights up on connection, a sign that the link is active. If you drop the cable anywhere on the node, it plugs itself into the most likely input, in this case the start image.
The Video node exposes different inputs depending on the chosen model. The start image, always a single one, locks the first frame. Some models also accept an end image, handy for controlled transitions. And reference images keep your characters consistent: up to 9 on Seedance 2.0, more on Seedance 2.5.
With a start image connected, the composition, the light, and the face are locked in. The share of usable shots climbs sharply compared with text alone, because the model can now only get the motion wrong. A side note in passing: Seedance in image-to-video imposes its own resolution constraints; the platform adjusts that for you.
Start at 5 seconds and 720p, scale up later
Duration and resolution are the two dials that blow up budgets. Set them to the minimum to validate, to the maximum to deliver. Concretely: 5 seconds in 720p for all your motion tests. That is more than enough to judge whether the knight walks naturally or slides across the ground like a chess piece.
The price gap justifies the discipline. On Seedance 2.0, the same 5-second shot goes from about 48 credits in 720p Fast to about 330 credits in 4K on the full model. Nearly seven times more expensive for a test whose result you may well throw away. 4K is for the final version, the one you export.
Same logic for duration. Seedance 2.5 accepts clips up to 30 seconds, which is remarkable, but a failed 30-second clip costs six times a failed 5-second one. Cut your scenes into short shots, validate them one by one, and save the long takes for movements you have already proven.
Which video model to start with
Imaginode gives access to 47 models, all paid with the same credits, which lets you switch providers in two clicks without a new subscription. For a first evening, two safe bets. Kling 2.5 Turbo, about 26 credits for 5 seconds, is the best value for learning: fast, natural motion, good enough to judge your ideas. Seedance 2.0 Fast, about 48 credits, renders finer textures.
The other names in the catalog can come later. Veo 3.1 Lite and Fast when you want generated audio, the full Seedance 2.0 to step up to 1080p or 4K, Seedance 2.5 for multiple references and clips up to 30 seconds. Grok Imagine Video, MiniMax H3, Wan 2.7, Kling V3, and PixVerse each have their strengths, but none of them is essential for a first clip.
Our blunt advice: stay on a single model while you learn. Every generator has its quirks, its own way of interpreting a tracking shot or a light, and you only improve by stacking up comparable attempts. Switching models with every shot means starting from scratch with every shot, and paying for the learning several times over.
Describe the motion, not the image
Your image already carries the composition, so do not repeat it in the video prompt. Describe only what moves: the subject, the camera, the pace. "The knight walks slowly toward the camera, his cape ripples in the wind, leaves fall in the foreground." One clear sentence of motion beats a paragraph of redundant description.
Phrase the camera movement as an explicit final sentence; models respond to that better than to an adjective drowned somewhere in the middle. And stay modest about quantity: one moving subject plus one camera move is already a lot for 5 seconds. Prompts that stack four actions produce mush.
If technical English slows you down, the magic wand on the prompt field rewrites your text into rich, structured English via the Kimi model, for 1 credit. It preserves your character @mentions along the way. One credit to make a 48-credit generation more reliable: that math takes no time at all.
What still fails, honestly
No method makes AI video foolproof, and claiming otherwise would be lying to you. Even with a clean start image, expect roughly one failure out of every three or four generations. Hands remain weak point number one: fused fingers, extra thumbs, held objects that warp mid-motion.
On-screen text is the other classic graveyard. A perfectly readable sign in your start image has a good chance of melting into hieroglyphs by the second second of animation. And physics stays approximate: liquids that defy gravity, characters whose footsteps slide, objects that pass through each other.
The real defense lies in choosing your shots. Avoid close-ups of hands in action, text that must stay readable, and complex object interactions like pouring a coffee. Favor faces, walks, atmospheres, camera moves over scenery. A good AI director picks their battles, exactly the way a broke film director picks the scenes they can afford to shoot.
Refunded when it crashes, paid when it's ugly
This rule deserves to be crystal clear because it structures your budget. If the generation fails technically on the model provider's side, a server going down, a file never delivered, your credits come back to your account automatically within seconds. Nothing to request, nothing to justify, no claim form to fill out.
On the other hand, a delivered but disappointing video stays billed. The cross-eyed knight, the cape floating strangely: delivered, therefore paid. This asymmetry is not a scam, it is how every model provider works: the computation really did happen. But it explains why this article's entire method aims at reducing disappointing generations rather than hoping for refunds.
Budget accordingly: for one final shot, plan on two to three video generations, not one. A Kling shot validated on the first try at 26 credits is a pleasant surprise, not a working assumption. At 2.5 generations on average, your 5-second shot comes out to about 65 credits, or €0.65.
Three beginner mistakes that cost credits
First mistake: animating a recurring character without reference images. Without them, the face changes from one generation to the next, and you burn credits chasing a likeness the model has no way of knowing. Create a Reference node with a name, a description, and a few photos, then @mention it in the prompt: the description is injected and the photos are attached automatically.
Second mistake: rerunning the same prompt over and over hoping for a miracle. If two consecutive generations fail at the same spot, the problem is in the request, not in the dice roll. Change something specific, one action removed, a simpler movement, before paying another 26 credits. The node's history shows you exactly what has already been tried.
Third mistake: launching the definitive version in high resolution right away. The "might as well do it right the first time" reflex costs about 330 credits per attempt in 4K on Seedance 2.0, where validation in 720p costs 48. Do it right the first time in 720p, then regenerate a single time at full size.
Generated audio, the Veo case
Some models no longer stop at the picture. Veo 3.1 Lite and Fast also generate the soundtrack: ambience, sound effects, sometimes lines of dialogue. A rain shot arrives with the sound of rain, a market with its crowd hum. Kling V3 offers audio as well. For short formats headed for social feeds, that saves an entire sound design session.
The cost logically climbs when audio is enabled, and the exact price shows, as always, on the Generate button. Ask yourself the question before each shot: if your clip is going to end up edited under music, the generated audio goes straight in the trash. Paying more for a track you are going to cut makes no sense.
Our blunt take: generated audio shines on ambience shots and simple spoken scenes, and still disappoints on anything requiring precise synchronization. Test it on one shot, listen, decide. This is the kind of call you make by ear, not from a spec sheet.
Leveling up with the Camera node
Once the image-then-video method is second nature, the Camera node is your next step up. Five illustrated dials, framing, lens in millimeters, aperture, angle, movement, and the node writes the right English terms for you at the head of the prompt, right where models weight them most heavily.
The benefit for video is direct: the movement dial offers static camera, dolly in or out, pan, rising crane, orbit, handheld, or slow zoom, and writes it as an explicit final sentence of your prompt. No more vague "cinematic camera movement" that produces nothing precise.
A single Camera node can feed several generators at once, which keeps the directing consistent between the opening shot and the one that follows. We devote a full article to it, "Directing AI like a cinematographer", with the concrete effects of every setting. Start simple: a medium shot, a 35 mm lens, a slow dolly in.
A typical budget for a first evening
Let's price out a real discovery session, that of a creator who wants three 5-second shots for a teaser. Exploring compositions in Flux Schnell: about thirty images, 30 credits. Final versions of the three images in Flux Pro 1.1: 18 credits. Animation in Kling 2.5 Turbo with an average of two attempts per shot: about 156 credits. Total: roughly 205 credits, or about €2.
With the Starter plan at €13 before tax and its 900 monthly credits, that evening represents less than a quarter of the month's budget. A regular creator who churns out clips will move up to the Creator plan, €42 before tax for 3,100 credits. And for a one-off spike, top-ups start at 1,000 credits for €15.
Compare that with the naive method: three shots in direct text-to-video on Seedance 2.0 Fast, with the usual failure rate, would have burned 400 to 500 credits for a less controlled result. The method is not just cheaper, it produces better work. The code SIMPLE15 takes another 15% off subscriptions.
And now, your first shot
Let's recap the marching orders for tonight. One Image node, ten Flux Schnell drafts, one clean final version. A cable to a Video node, Kling 2.5 Turbo or Seedance 2.0 Fast, 5 seconds, 720p. One clear sentence of motion. Everything saves automatically, and you can even launch the generation from your phone's browser; it keeps running with the screen locked.
If you would rather start from an assembled base, the ready-made templates include image-to-video chains already wired up: you swap in your prompts, everything else is in place. And the assistant, in the bubble at the bottom right, can build the entire workflow for you for 1 credit per message, while seeing your open canvas.
To go further than this first shot, the academy built into the documentation offers YouTube video courses that walk through the whole chain on screen. Recommended next stop on this blog: the article on the Camera node, because a shot that moves well is, first and foremost, a shot that is framed well.