What a run costs at provider rates, which model fits the job, step-by-step workflow builds, and straight comparisons with the other node canvases. Everything runs on your own keys.
Four ways to put music under an AI clip, from native audio in the video model to a track written for the cut. A 30-second score costs between half a cent and forty cents at provider rates.
Write the prompt as a copy deck, draft on a cheap text-capable model, fix wrong letters with a masked edit instead of a re-roll, and size for print last. Per image, the drafts cost between one and fifteen cents.
Write the script first, voice it line by line, and let the take lengths set the cut. A 60-second voiceover costs under ten cents. Lip sync is the expensive step, from $0.005 to $0.17 per second of footage.
Seven visual workspaces for AI image and video, compared on who picks the models, how you pay, where your work lives and what you can edit after the render. Which one is best depends on whether you want one fast image or a pipeline you run again.
A consistent character comes from two things you fix once and reuse everywhere: a reference image and a descriptor pasted verbatim into every prompt. Here is how to make both, and which image and video models take them.
Pick the edit model by the kind of change, keep the clip short, write the instruction as a diff, and audition the result as a take before it touches your cut. Prices run from $0.04 to $0.35 per second of footage.
Between a quarter of a cent and fifteen cents per image at provider rates. A thousand images can cost $3 or $150. Here are the rates, what a batch costs, and which model to reach for at each price.
Between $0.02 and $0.40 per second of output, depending on the model and the provider you call it through. Here are the rates, side by side, and what a 30-second ad or a 10-shot storyboard comes to.
Two claims that are easy to print on a landing page and hard to build. What each one costs to do properly, and how to check whether a tool has done it.
A vector collection, a retrieval query, an agent that cites its sources — and then the part most RAG tutorials stop before: turning the answer into an image, on the same canvas.
One logline in, a cut teaser out. We build the graph node by node — Director, Screenplay Shots, Text To Image, Image To Video, Collect, Concat — and explain what each one costs.
They all draw boxes and arrows, and that is where the similarity ends. A straight read on what each tool is built for, where it runs out, and how to pick.