Write one script, then turn it into a narrated video with generated footage, burned-in captions and a music bed. No camera, no microphone and no face on screen. Each piece is a separate model in the toolkit, and you decide what stays and what gets regenerated.
Those motivational clips with a calm voice, slow footage of mountains or city lights and a few bold words on screen all follow the same recipe, and none of it needs a face on camera. You write one script, turn it into narration, generate a clip for each line, then add captions and music. Every piece is a separate model on Picasso IA, and this page shows how the pieces connect.
The format is simple on purpose: a voice that speaks slowly, footage that carries the mood, a handful of words on screen at a time. The expense of the traditional way sits around that simplicity: footage means a stock subscription or an hour of scrolling for the right sunrise, and a voice means a quiet room and a decent microphone. Each of those is now a generation you can repeat until it fits.
Picasso IA puts the whole chain in one place. The catalog holds 502 models, including 75 language models for the script, 24 text-to-speech models, 121 text-to-video models and 10 for music, and all of them run in the toolkit. Browse the full catalog to see what sits next to the models named here. New accounts get free credits, enough to build one short test video before you decide anything. What each step costs depends on the model and the settings, so the pricing page is the place to look, not this one.
Faceless here means exactly that: nobody on camera, and a voice that is either synthetic or your own. For the channel-level view, with niches and publishing routines, read the page on faceless YouTube videos. This page covers one format, the short motivational video.
The script is the one step where AI should assist and not author. A language model such as claude-sonnet-5 or gpt-5 will draft in seconds, and the draft is only as good as the brief. Give it the audience, the length in spoken seconds, the tone and a single idea, and ask for short sentences with one image per line, because every line becomes a shot.
Here is the rule that matters most on this page: never ask a model for a quote by a famous person and put it on screen. Language models produce quotes with total confidence, and a good share of them are misattributed or simply invented. Pinning a real name to words that person never said is unfair to them and embarrassing for you. Write in your own voice, or put no name on the lines at all. If a real quote matters to your video, copy it from a source you opened yourself and credit that source.
The same caution covers voices. Use a stock voice, or your own, and never the voice of a real, identifiable person who has not agreed to it. Then read the final script aloud once before generating anything, because your ear catches a clumsy sentence in two seconds.
Footage is where the video gets its character, and there is more than one way to produce it. The table compares the realistic options on Picasso IA, with the trade-off each one brings.
| Approach | Model to try | Good for | Watch out for |
|---|---|---|---|
| One clip per script line | veo-3.1 | Clean 1080p shots of 4, 6 or 8 seconds, in 16:9 or 9:16 | Eight seconds is short, so plan one idea per clip |
| Several scenes in one run | kling-v3-video | Up to 6 scenes and 15 seconds in a single generation | Scenes share a run, so redoing one means rerunning the lot |
| Still image first, then motion | an image model, then either video model with a start image | Fixing the look before you spend on video | One more step, and the style words must stay identical |
| Mood footage with no people | veo-3.1 | Sunrise, ocean, mountain road, city at night | The most familiar look in the genre, so add a specific detail |
| One fictional figure across scenes | veo-3.1 with reference images | A silhouette or character that recurs | Faces drift between clips, so keep them away from the lens |
Whichever you choose, repeat the same style words in every prompt, such as the time of day, the lens feel and the colour palette. That is what makes eight separate clips read as one film. Clip audio gets replaced by your narration anyway, so for this format you can leave it off. For more on this kind of cutaway material, see the page on AI b-roll.
This is the chain from script to finished file. Everything happens in the toolkit, one model per step, and each step hands its output to the next.
The order of the last two steps is not arbitrary. Autocaption reads the audio track to transcribe it, so give it the narration alone, before any music goes in. Music comes last, in mix mode and not replace mode, with the volume multiplier well below one so the voice stays on top. Then play the result on a phone speaker, where most people will hear it.
Captions deserve a little styling. Autocaption lets you pick the font, the colour, the stroke, the position on screen, how many characters fit on a line and a highlight colour for the word being spoken. Its own notes suggest a shorter line and a smaller size for reels than for standard video, so start there for vertical clips. It also gives you the transcript as a file. If a name or an invented word is spelled wrong, edit the transcript and run it again with the corrected version instead of living with the error.
Watch the finished video once with the sound off. If it still makes sense, and no caption is cut by the screen edge or hidden behind an app button, it will survive the way most people actually watch.
For the music, describe a style and a mood in the prompt and switch on instrumental mode, which does not need lyrics. Slow cinematic piano that builds gradually gives the voice room to breathe. A generated track is new audio, but platforms keep their own rules about AI-generated media and about repetitive or mass-produced content, and those rules change. Read the current requirements of the platform you post on before you build a schedule around any one tool. More on this step lives in the pages on background music for videos and automatic video subtitles.
This format has some sharp edges, and it is better to know them before you generate a dozen clips.
None of this makes the format a bad idea. The human work just shifts to the script, the choice of clips and the final listen.
Yes, and this page is built around that. The narration comes from a text-to-speech model or from your own recording, the picture comes from generated footage, and the words on screen come from captions. If you do want a recurring character, use a fictional one, and expect to regenerate some clips until the face looks stable.
One per job. A language model such as claude-sonnet-5 writes the draft, speech-2.8-hd reads it aloud, veo-3.1 or kling-v3-video makes the footage, video-merge and video-audio-merge assemble the pieces, autocaption adds the captions and music-2.6 makes the track. You can swap any of them for another model in the same category from the catalog, which has 24 text-to-speech models and 121 text-to-video models to choose from.
It can write a first draft quickly, and that draft is a good starting point, but it should not be the finished script. Models lean on familiar phrases, so an unedited draft sounds like every other motivational video. Give the model a specific audience and one idea, then rewrite the lines that sound generic. The video is only as distinctive as the script you end up with.
Do not generate quotes and attach a real name to them, because models often invent or misattribute quotes without warning. If a real quote matters, copy it from a source you checked and credit that source. As for voices, use a stock voice or your own, and never imitate a real person who has not agreed to it.
There is no single limit, because the finished video is assembled from clips. veo-3.1 makes clips of 4, 6 or 8 seconds and kling-v3-video goes up to 15, and video-merge joins as many as you give it. So the real limits are your script length and how many clips you are willing to generate and review.
Yes. Both video models can output 9:16, and kling-v3-video also does 1:1. Autocaption has settings for shorter lines and a smaller font that suit reels, and you can move the captions so apps do not cover them. Generate clips in vertical from the start instead of cropping landscape ones afterwards.
Nobody can promise either way, and the rules change. Platforms publish policies on repetitive or mass-produced content and on labelling AI-generated media, and enforcement shifts over time. Read the current requirements of each platform you post to, label your videos the way they ask, and treat a distinctive script and varied footage as the best protection, because near-identical uploads are what those policies tend to target.
Run autocaption on the video that already has the final narration. It transcribes the audio it hears and times each word to it, so the sync follows your voice instead of a guess. If you change the narration afterwards, run captions again, because the timing belongs to the old audio. Do this before adding music so the transcription hears the voice alone.
Yes. Record the narration yourself and add it with video-audio-merge in place of the generated voice. If you want an AI version of your own voice, the page on AI voice cloning covers it, with one rule that does not bend: clone only a voice you own, never someone else's.
It is paid in credits, and the total depends on how many models you run and on their settings. Video clips are usually the larger share. New accounts start with free credits, and the pricing page has the current plans, which is the only place to trust for numbers because they change.
Pick one idea, write ten honest lines about it, and generate the first clip in the Picasso IA toolkit.
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