AI Video Generator Workflow
A practical workflow for choosing an AI video mode, preparing references, checking model-specific settings and refining a draft without wasting generations.

An AI video generator is easier to direct when you decide what the clip must communicate before opening the prompt box. Write a one-sentence brief first: who or what is on screen, what changes, and where the result will be used. That brief helps you choose the right input mode and avoid paying to explore details that do not matter.
1. Choose the input that matches your starting point
Use text-to-video when the scene is still an idea and you want the model to establish the setting and composition. Choose image-to-video when a photo, product frame or illustration should guide the opening look. Use video-to-video when a supported motion reference should guide movement for a different subject.
The modes solve different problems. A prompt alone gives more room to invent a scene; an image gives the model a visual anchor; a motion clip adds timing and movement cues. Uploads are only available with models that support that input.
2. Decide the destination before the settings
Pick the aspect ratio for the place the clip will appear: vertical for a phone-first feed, landscape for a presentation or wide player, and square when the destination calls for it. Keep the subject inside the frame with room for captions or interface overlays if you plan to add them later.
Then choose among the duration, resolution and audio options shown for the selected model. These controls are model-specific. The workspace's current selector and upload hints are the reliable guide to what is supported for that task.
3. Write one direction at a time
Describe the subject and action first, then add camera movement, lighting and mood. Use direct language such as “the camera tracks slowly from left to right” instead of combining several contradictory movements. If a detail must remain stable, name it explicitly.
For reference inputs, assign each asset one role. A reference image might define the face, product or palette; a motion clip might define the pace. Add a short instruction explaining what the model should borrow from each source.
4. Review cost and rights before you submit
The estimated credit cost is displayed before generation. It can change with the model and settings, so check the estimate every time you switch models, duration or output options. Eligible new accounts may have starter credits; the balance and any expiry shown in the account are the current terms for that account.
Check provider terms before commercial use, and make sure you have permission to upload reference images and video. A generated draft can still contain visual errors or unexpected details; review it before publishing.
5. Refine the result with a controlled comparison
After the first render, identify the most important issue. If the scene is right but the camera is wrong, change the camera instruction and leave the rest of the prompt intact. If a product changes shape, make the preservation instruction more concrete or try a clearer reference image.
For a multi-shot story, generate and review each shot separately. This makes continuity easier to manage and gives you a clean point to adjust pacing, framing or colour before editing the sequence together. Completed tasks remain available in your creation history.
Current Seedance 3.0 availability
Seedance 3.0 appears in the model selector but is not currently selectable. You can still use this planning workflow with enabled models in the browser-based video workspace. The selector shows current availability, and the Seedance 3 video generator guide explains the status and the prompt workflow.
