The workspace keeps setup explicit so you can check the prompt, model, aspect, duration, and estimated credits before submitting a job.
Name the subject, the camera direction, the lighting, and the output format. Avoid layered metaphors — concrete words generate more consistently.
Different models trade off speed, motion fidelity, and price. Use the model selector to compare credits before generating.
Credits are previewed before generation. If a job fails, credits are returned automatically and the result view records the model used.
A text-to-video workflow turns a written scene into a 6 to 10 second clip without booking a motion designer, a shoot crew, or a location. Brief in film grammar (dolly, push, tilt, golden hour, 9:16) and the engine handles the production. A solo producer can ship the same concept variations that used to need a four-person team.
Motion concepts without a crew
One scene description, multiple model takes side-by-side. Wan 2.7 leans cinematic, Veo 3.1 holds longer subjects, Kling 3.0 handles tighter camera direction, Seedance 2.0 ships fast drafts. The model picker exposes the trade-off before you generate, so you compare the way a producer compares takes — not by guessing which subscription was worth keeping.
Multiple model takes · one written brief
Veo 3.1, Kling 3.0, Seedance 2.0, Hailuo 2.3, Wan 2.7, Grok Imagine, and HappyHorse all draw from one shared credit pool. The cost preview shows the exact credit delta when you change model, duration, or aspect, so a draft on Grok Imagine and a hero on Veo 3.1 are the same checkout decision, not two separate billing relationships. Failed jobs (technical errors) refund credits automatically.
8+ video models · 1 credit pool · refunds on technical failures
Ship motion concepts for clients and personal projects without a shoot crew, a location, or a casting day. A written scene is enough to bill on Monday.
A pitch to a client needs three moving references by Tuesday. The producer writes three scenes, generates three drafts on Veo 3.1 and Wan 2.7, and walks into the meeting with motion the storyboard could never have shown.
Turn a trend idea into a 9:16 hook before the trend cycle moves. Generate the clip from a written scene, no shoot day required.
Monday's trend brief becomes three vertical drafts before standup. The creator picks the take the algorithm will actually like, posts it, and recycles the prompt template for next week's hook.
Test motion creative for paid social before committing to a production house. Generate the concept, A/B the variations, lock the winner before the media spend goes live.
A new product launch needs four 6-second motion concepts for paid social. The producer writes four scenes, ships four drafts, and the media team A/Bs the variations — no shoot crew, no overnight render farm.
Use these patterns when you have no source image and need the model to build the full scene from words alone. Concrete camera direction and a defined output format make every prompt to video iteration land more predictably — vague mood words leave the ai video from text engine guessing.
Neon Tokyo alley after rain, slow camera push, reflective puddles, warm signage glow, 9:16 social short.
Concrete location, weather, and camera direction keep the look consistent.
Floating sneaker on a soft pedestal, slow turntable, studio rim light, clean seamless background, 1:1 loop.
Great for ad concepts before committing to a real photoshoot.
Mountain ridge at golden hour, slow parallax drift, soft volumetric haze, cinematic 16:9 framing, 6 seconds.
Use specific time-of-day and camera motion to lock the mood.
Name the subject, the camera movement, the lighting, and the output format. Short concrete sentences usually outperform long descriptive paragraphs. Text to video models respond best to film-grammar verbs (dolly, push, drift, tilt) and explicit aspect tags (9:16, 16:9). When you write to video in those terms, the model leaves less to guess and produces fewer reshoots.
For concept and mood clips, yes. For brand-accurate product hero shots, switch to Image to Video with a real product photo as the first frame — the ai text to video generator cannot invent your packaging or logo from scratch, but it can render the mood, the camera, and the scene around it.
Available duration depends on the selected model and tier. The duration selector only shows lengths the chosen model accepts, and longer clips usually mean a higher cost per run. If you need a longer sequence, stitch shorter generations in post — the prompt to video workflow keeps a consistent style across cuts.
New accounts include starter credits that cover several text to video free runs on entry-tier models like Grok Imagine. After that, runs draw from a single shared credit pool. There is no per-model subscription wall, so once you have an account every text to video ai engine in the workspace is reachable.
Yes. Pick Wan 2.7, Veo 3.1, or Kling 3.0 from the model selector — these are the cinematic-leaning options, designed for slower camera moves, depth-of-field, and film-grade color. A short specific cinematic ai video prompt (slow dolly, golden hour, 35mm, soft volumetric haze, 16:9) lands more consistently than tagging style words like cinematic alone.
Start with the default draft model when you want a lower-cost first pass. The picker exposes Veo 3.1, Kling 3.0, Seedance 2.0, Hailuo 2.3, Wan 2.7, and HappyHorse when you want a cinematic look, longer duration, or different motion fidelity. Each option ships with a short note on its strengths.
Animate a real product photo, portrait, or scene frame when you already have a reference still — the image-to-video workflow locks subject identity better than the text-only path can.
Render a still concept first with text to image, then feed the chosen frame into image-to-video for tighter motion control on a known subject.
Restyle or refine a reference still before adding motion — fix lighting, swap a background, or change a colorway without re-shooting.
