Table of Contents
AI video generation is often presented as a simple process:
Write a prompt, click generate, and receive a video.
In practice, creators quickly discover that a reliable workflow requires more planning.
The biggest challenge is usually not generating one attractive frame.
It is controlling the relationship between characters, environments, actions, camera movement, and sound.
This is where multimodal AI video generation becomes useful.
Seedance 2.0 supports text, image, audio, and video inputs and allows creators to combine these materials as references.
Instead of treating AI video generation as a random experiment, creators can approach it more like a small production process.
Step 1: Define the Final Scene
Before writing a prompt, decide what the viewer should see at the end.
Suppose the idea is:
“A woman walks through an old city and discovers a hidden bookstore.”
The important moment is not simply “woman walking.”
The story needs to build toward the discovery.
That means the prompt should reserve enough time for the character to move through the environment before the reveal.
This simple planning step can prevent many problems.
Step 2: Separate Characters From Environments
If multiple characters are involved, identify them clearly.
For example:
Character A: young woman, brown coat, short dark hair.
Character B: elderly bookstore owner, blue sweater, glasses.
Then define their roles.
Character A enters the store.
Character B looks up.
They exchange a brief conversation.
Character A notices an unusual book.
This makes the scene easier to understand than describing everyone in one paragraph.
Step 3: Use Images as Visual Anchors
Text is useful for describing actions.
Images are often better for defining appearance.
If the creator already has a character design, product photograph, location image, or costume reference, it can be included as part of the workflow.
Seedance 2.0 was specifically designed around multimodal references. Its official documentation describes support for up to nine images, three video clips, and three audio clips in a generation workflow, together with natural-language instructions.
That means creators can build prompts around actual reference materials rather than trying to describe everything verbally.
Step 4: Add Camera Direction
Camera instructions can significantly change how a scene feels.
Compare:
A man enters a restaurant.
with:
Start with a wide shot showing the restaurant interior. The camera slowly tracks backward as the man enters. Move into a medium shot as he looks around, then finish with a close-up of his expression.
The second prompt provides a visual plan.
It tells the model how the audience should experience the scene.
This is particularly useful for advertising and cinematic storytelling.
Step 5: Think About Audio
Audio is sometimes treated as an afterthought.
But sound can influence how a scene feels.
A restaurant might need background conversation and dishes moving.
A street scene may need traffic and footsteps.
A dramatic moment might require silence followed by a specific sound.
Seedance 2.0 was built with a unified audio-video generation architecture, and its official materials emphasize synchronized audio-visual output.
The prompt should therefore describe important audio when it contributes to the story.
Step 6: Generate, Review, and Refine
The first generation should not necessarily be treated as the final version.
Watch it carefully.
Ask:
Did the character perform the correct action?
Did the camera move as expected?
Did the transition happen at the right time?
Was the ending clear?
Did the visual references remain consistent?
If one part fails, identify that specific problem instead of rewriting the entire concept.
This makes iteration more efficient.
Creators who want a more structured starting point can explore this Seedance 2.0 prompt guide before building their own prompts.
Step 7: Use Editing Instead of Starting Over
Another important part of an AI video workflow is knowing when to edit rather than regenerate.
Seedance 2.0 supports video editing and extension, allowing creators to make targeted changes and continue existing sequences.
For example, imagine a 15-second video where the first 12 seconds work well but the final action is incorrect.
Regenerating everything means losing the useful material.
A targeted editing workflow can focus attention on the problematic part.
This is closer to conventional post-production.
The creator keeps what works and changes what does not.
Step 8: Build Reusable Prompt Structures
Once a creator discovers a prompt structure that works, there is no reason to start from zero every time.
A reusable template might look like this:
Subject: Who or what is the focus?
Environment: Where does the scene happen?
Opening: What does the audience see first?
Action: What happens next?
Camera: How does the camera move?
Audio: What should the audience hear?
Ending: What is the final visual?
The details can change, but the structure remains.
This is especially useful for creators producing a series of social videos.
Why Workflow Matters More Than One Good Prompt
AI video generation can sometimes produce a surprisingly good result from a short prompt.
But repeatable production is different.
If someone needs to create ten videos for a campaign, they need a process that can be repeated.
That process may involve reference images, prompt templates, camera instructions, audio descriptions, generation, review, and targeted editing.
The more organized the workflow becomes, the less time is spent randomly experimenting.
Seedance 2.0 and the Move Toward Multimodal Creation
The larger trend is that AI video generation is becoming less dependent on text alone.
Creators can combine text with images, video, and audio.
This makes the workflow more similar to traditional creative production.
A director might provide a storyboard.
A designer might provide character artwork.
A marketer might provide product photography.
A musician might provide an audio reference.
AI can then help transform those materials into moving content.
Seedance 2.0 was designed around this kind of multimodal creation, while later Seedance 2.5 further expanded the focus toward longer narratives and more precise editing.
The Most Useful Mindset
The best way to approach AI video is not:
“Write a prompt and hope the model gets it right.”
A better workflow is:
Plan → reference → direct → generate → review → refine.
That process may sound simple, but it changes the quality of the work.
The creator becomes responsible for the idea and the direction, while the model handles more of the visual execution.
AI video generation is therefore becoming less like a random visual experiment and more like a lightweight production environment.
The technology will continue to improve, but the fundamental principle is unlikely to change: clear creative intent, useful references, and structured iteration will usually produce a more reliable workflow than simply adding more adjectives to a prompt.