Seedance 2.0 Prompt Gallery
Browse curated Seedance 2.0 prompts with video previews. Copy, remix, or open directly in Generate.
Showing 10 of 106 prompts
Nature Animal
A simple image generation prompt describing a cinematic scene of a blonde woman running in a tropical setting with a lion chasing her.
Nature Animal
An extremely detailed, cinematic prompt for Seedance 2.0 describing a diver's terrifying descent through a flooded subterranean megastructure, pursued by a colossal, eyeless leviathan, culminating in the diver firing a harpoon and bursting through the surface into a vast under...
Nature Animal
The user shares a prompt used while testing Seedance 2.0, a generative tool they believe will change the world of news. The prompt describes a female version of a 'Lumpen Hobo' character, featuring an old, battered cat and attention-grabbing chains.
Nature Animal
A surreal and humorous prompt for Seedance 2.0 featuring a cat spinning and singing a version of the Gorillaz song 'Feel Good Inc.' on a floating island.
Nature Animal
A prompt for Seedance 2.0 to generate a handheld running shot of a character with an overflowing bag of gold coins, jumping into water, and having the camera follow the character underwater.
Nature Animal
A prompt used to generate a coherent, cinematic, and near-perfect video using Seedance 2.0, featuring a Maltese dog competing in various Winter Olympics sports.
Nature Animal
The very first prompt used by the user to test ByteDance's SeeDance 2.0 model, resulting in a humorous nature documentary concept.
Nature Animal
A detailed, multi-paragraph prompt used to generate a cinematic aerial video sequence using Seedance Pro 2.0, describing a wingsuit pilot diving from a snow-covered mountain peak through an alpine valley.
Nature Animal
A detailed prompt for generating a video featuring a pastel pink-blue Dyson swarm at an artificial sunset, including floating palm-tree biomes and retro holographic billboards, emphasizing an ironic Type II leisure aesthetic.
Nature Animal
A test of Seedance 2.0 using a fishing scene prompt, noting the high quality but observing inconsistencies in objects outside the training data (e.g., a 'tuna whale' fish and a man resembling Tom Hanks).