Seedance 2.0 Image-to-Video Guide: 3 Prompts Tested

This guide documents three Seedance 2.0 image-to-video runs already stored in the Inkfox AI repository. It is a small test set, not a universal benchmark. Every case below uses the saved source image, exact configured prompt, and corresponding output video.

For hands-on generation, open the Seedance 2.0 video generator. For a model-neutral workflow, start with the image-to-video workspace.

The short answer

Test setup

Test date: July 12, 2026.

All three saved runs use the same repository-backed configuration:

• Model/version: Seedance 2.0 Fast (seedance-2, version 2.0-fast)
• Input mode: first-frame image-to-video
• Duration: 5 seconds
• Quality: 480p
• Requested aspect ratio: 16:9; saved MP4 dimensions: 864×496
• Audio: Sound off

These settings describe the saved tests only. They do not claim that every Seedance configuration behaves the same way.

Case 1: baby dance

Input

Exact prompt

Output

Observations

Across the saved clip, the child's arm and leg positions change while the face, outfit, sofa, window, and low camera framing remain recognizable. That makes this example useful for checking motion around a single full-body subject. It is still only one short output; it does not prove reliable anatomy for every dance prompt or starting pose.

Case 2: wedding social

Input

Exact prompt

Output

Observations

The couple remains the central subject while the veil and bright foreground particles shift between frames. The garden steps and backlit setting remain recognizable. Because the run requested 16:9 and the saved file is encoded at 864×496, this run does not test delivery as a native 9:16 reel even though the source composition is vertically oriented.

Case 3: sparkling drink

Input

Exact prompt

Output

Observations

The glass silhouette, ice, citrus wheel, mint, and warm bar background stay recognizable across the saved frames. The visible change is restrained rather than a large camera or object move. That is a useful boundary: this exact prompt-and-input pair reads as a subtle product accent, not evidence for complex product choreography.

What worked and where the outputs were limited

In these three saved outputs, the main subject and surrounding composition remain recognizable while motion is introduced. The baby case shows the clearest body-pose change, the wedding case layers movement around two central subjects, and the drink case keeps motion comparatively restrained.

The evidence is deliberately narrow. There is one output per prompt, all at 480p and five seconds, with no audio. The set does not measure generation speed, repeatability, prompt success rate, text rendering, longer shots, or alternate aspect ratios. Those questions require separate controlled tests.

Seedance 2.0 versus Kling 3.0 by task

Use this as routing guidance, not a universal ranking. These saved Seedance tests were not generated head-to-head against Kling 3.0 with identical inputs.

Browse the AI models hub when the input type or target output matters more than a specific model name.

Reusable image-to-video prompt template

Keep each motion instruction concrete. If the subject must not change, name the identity, geometry, garment, package, or background feature that needs to stay recognizable.

Reproduce these tests in Inkfox AI

1. Open the Seedance 2.0 generator.
2. Select Seedance 2.0 Fast and first-frame image-to-video mode.
3. Upload the source image shown for the case you want to reproduce.
4. Paste the corresponding exact prompt without adding new motion instructions.
5. Set 5 seconds, 480p, request 16:9, and turn Sound off.
6. Generate the clip and compare subject identity, composition, and motion against the saved output.

For a broader workflow before choosing a model, use the image-to-video page.

FAQ

Are these three outputs a Seedance 2.0 benchmark?

No. They are three repository-backed examples with fixed settings. They show what is visible in those saved files, not an average success rate or universal quality result.

Were all three prompts tested with the same settings?

Yes. The saved configuration is Seedance 2.0 Fast, first-frame input, 5 seconds, 480p, 16:9, and Sound off.

Does the wedding test produce a vertical social video?

No. The source composition is vertically oriented, but the saved test configuration and output are 16:9. Choose and verify a vertical aspect ratio separately when the delivery format must be 9:16.

Should I choose Seedance 2.0 or Kling 3.0?

Choose by task and run a matched test when the decision matters. Start with Seedance 2.0 to reproduce the documented cases here. Use the Kling 3.0 workspace to evaluate its separately configured examples, or find both routes in the AI models directory.