Seedance is ByteDance's AI video model family for text-to-video, image-to-video, and audio-aware video generation. If you search for Seedance AI, start by choosing between the current Seedance 2.0 page for the newest workflow and older Seedance variants when speed or compatibility matters.
Seedance image to video is the best fit when you already have a product photo, character frame, storyboard panel, or visual reference. Start with the still image, then describe the motion, camera path, duration, sound, and final frame so Seedance can preserve identity while adding movement.
Use first-frame or reference inputs when character and product consistency matter.
Describe camera movement directly, such as tracking forward, handheld push-in, or overhead cut.
Add audio intent only when the model supports native audio for the selected endpoint.
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Seedance prompt guide and examples
A strong Seedance prompt reads like a compact shot brief. Put the subject first, then the action, camera movement, lighting, style, and timing. This keeps Seedance prompts easier to reuse across Seedance 2.0, Seedance 1.5, and fast variants.
Prompt example
Close tracking shot of a founder walking through a neon-lit studio, camera pushes in slowly, warm rim light, subtle handheld motion, natural room tone, cinematic realism.
Developer searches around Seedance usually need a direct path from model choice to request shape. If you are evaluating Seedance API usage, compare the endpoint inputs, resolution, duration, audio support, and streaming response behavior before you wire it into production.
Use the model page first when you need generation settings and examples.
Use API documentation when you need request parameters, SSE events, and output fields.
Check pricing by resolution, duration, and whether audio is generated.
seedance apiseedance api pricingseedance api docs
Seedance vs Kling, Veo, and Sora
Comparison searches usually mean the user is choosing a model, not reading a generic blog post. Judge Seedance against Kling, Veo, and Sora by prompt adherence, image-to-video stability, camera control, native audio, and how fast the workflow reaches a usable clip.
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