Seedance 2.

Most people treat video AI like image generation with a "play" button, but Seedance 2.5 requires a completely different mental model. You aren't just describing a frame; you're managing time, camera movement, and audio simultaneously. If you don't structure your prompts correctly, you'll run into the usual nightmares: subjects duplicating mid-shot or props morphing into something else.

ByteDance actually released a technical manual for this model that is surprisingly blunt about what it can and cannot do. The core of a successful AI workflow here is following a specific six-part formula. If you deviate too much, the coherence drops.

The Prompting Architecture

The model expects a specific hierarchy. The first two elements are mandatory; the rest are optional based on how much control you need over the scene.

[Subject + Action/Event] 
+ [Scene and Environment] (Optional) 
+ [Visual Style] (Optional) 
+ [Camera Work/Cutting] (Optional) 
+ [Sound] (Optional)

The key is to summarize the main action first and avoid repeating yourself. If you describe the same movement twice, the model often glitches or loops the animation.

Here is a real-world example of how to stack these layers for a high-fidelity result:

A luthier finishes a violin in a narrow workshop, lifting the body off the bench and setting it upright in the drying rack.

Late afternoon light rakes through fine sawdust; fresh varnish shows a deep amber, the bench is orderly, tools laid out in a worn leather roll.

The camera opens on a medium shot of the hands releasing the clamp, then pushes slowly in on the grain of the top plate, then cuts to the rack seen straight on.

Keep the scrape of the plane, the click of the clamp, and quiet room tone.

Handling Reference Assets

One of the most powerful parts of this deployment is the ability to use up to 50 reference assets. However, there is a big difference between the "hard limit" and the "stability limit." While you can jam 30 images in there, the model stays significantly more stable if you stick to 1-8 subject references.

When using these assets, you have to explicitly assign roles to them so the LLM agent knows which image is the character and which is the background. If you don't, the model tends to blend the subject into the environment.

Practical Tips for Stability

If you're building a 30-second clip, don't try to prompt the whole thing as one continuous shot. The model's temporal consistency starts to degrade. Instead, use the "Camera work or cutting" section of the formula to dictate specific cuts. This forces the model to reset its spatial logic at the cut point, which prevents the "morphing" effect common in long AI videos.

Also, remember that generation parameters (like aspect ratio or resolution) should be handled in the API or UI settings, not written into the text prompt. Adding "4K" or "16:9" to the prompt text is a waste of tokens and doesn't actually change the output resolution.