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ByteDance / Seedance 2.0

Seedance 2.0

bybytedance

Seedance 2.0 by ByteDance generates short MP4 videos from text, with optional image and audio references. It supports synced audio, stable motion, and cinematic camera direction.

Text to VideoImage to Video
Model ID
Seedance 2.0
Provider
bytedance
Updated
1784729666
20
Comments
Average rating : 4.86 (20 users)
Providerbytedance
ModelSeedance 2.0
Text to VideoImage to Video
wiro playground—bytedance/Seedance 2.0
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Optional. The prompt to generate the video.

0 / 1
Maximum 1 image allowed
Drop image to upload

OR

Click to browse your device

Supports: JPG, JPEG, PNG, GIF, WEBP, HEIC

Optional. The provider may sometimes reject human faces. First frame of the video (image-to-video).

Sample outputs
Click To See More Samples
Updated 1784729666

## Overview Seedance 2.0 is ByteDance’s multimodal video generation model. It generates video and audio together, so sound effects and dialogue timing match the visuals. You describe a scene and the model produces a short, edited-feeling clip with strong motion stability and controllable camera language. This helps teams prototype ads, story beats, and visual concepts without a shoot. ## What you can build - Text-to-video scenes with camera moves like tracking shots, push-ins, and POV switches - Image-to-video animations that start from a provided first frame - First-to-last frame transitions for outfit changes, product reveals, and before/after shots - Reference-driven clips that keep a character or style consistent across a short sequence - Music- or rhythm-guided visuals using reference audio as a timing and mood anchor - Social video loops for Reels, Shorts, and TikTok in vertical or square formats ## Inputs - A scene description written as plain text. Include actions, setting, lighting, and camera direction. - Optional spoken lines written inside double quotes if you want dialogue with lip-synced audio. - Optional first-frame image to anchor the opening shot for image-to-video. Use common web image formats such as JPG, PNG, WebP, GIF, or AVIF. - Optional last-frame image to guide how the clip should end. This works only when you also provide a first frame. - Optional reference image set (up to 9 images) to lock in character appearance, wardrobe, props, or visual style. In your description, call them out as Image 1, Image 2, and so on. - Optional reference audio clips (up to 3 files) in WAV or MP3 to guide mood, pacing, and sound design. Some workflows require at least one visual reference when you include audio. - A target output resolution choice. Higher settings can increase detail, but availability depends on the deployment. - An output aspect ratio choice, or an adaptive option that lets the model pick based on your prompt and references. - A clip duration choice of 5, 10, or 15 seconds. - A toggle to include or omit generated audio. - An optional watermark toggle. - An optional numeric seed to reproduce results. Set it to 0 to randomize. ## Outputs The model returns a rendered MP4 video. If audio is enabled, the MP4 includes a synchronized audio track that can contain ambience, sound effects, music, and dialogue. When you provide reference images, the output typically preserves key identity cues like clothing and overall look within the clip’s length. ## Recommended settings - First tests and prompt iteration: generate 5 seconds at 720p with adaptive aspect ratio. - Dialogue scenes: keep spoken lines short and wrap them in double quotes. - Image-to-video with a specific ending: provide both a first frame and a last frame, then describe the transition. - Character consistency: use 3–9 reference images and explicitly refer to them in the description. - Repeatable results for reviews: reuse the same seed and keep references identical. ## Limitations - Single generations are limited to short clips, with an upper bound of 15 seconds. - Resolution support varies by provider and endpoint. Some official deployments cap output at 480p or 720p. - Face and likeness controls can be strict. Uploads that include real human faces may be blocked or require authorization. - Requests that reference copyrighted characters, brand IP, or public figures may be filtered or refused. - Reference quality matters. Blurry images, heavy compression, screenshots with UI overlays, or inconsistent reference sets can cause identity drift and visual artifacts. - Audio quality can vary by prompt. Very dense sound instructions can introduce distortion or muddiness. ## Safety & compliance - Only upload images, audio, and prompts you have rights to use. - Don’t generate content that impersonates real people without consent and legal permission. - Avoid prompts that ask for copyrighted characters, trademarked brands, or scenes copied from films. - Use the model for lawful, non-deceptive content. Don’t create misleading deepfakes or fake news footage.

Example prompts

Great starting points for Seedance 2.0.

A lone surfer on a longboard carves through the face of a massive glassy wave at dawn, spray arcing behind them in slow motion. The camera begins inside the barrel looking out toward the light, then swoops outside and circles the wave in a smooth arc as the surfer drops into a bottom turn. Pelicans skim the wave crest in the background. Golden-hour backlight makes the water translucent teal, salt mist fills the air, filmic 35mm grain, clean warm color grade, crashing wave and rushing water audio.Video Generation
A sleek white spacecraft detaches from a massive orbital station in deep space, its thrusters igniting with a clean blue burn. The camera tracks alongside in a smooth parallel dolly, then rotates to reveal Earth below, half in daylight and half in night with glittering city lights. The Milky Way arcs overhead, tiny debris drifts past the lens. Photorealistic hard sci-fi cinematography, clean bluish-white palette, subtle lens flares, ambient rumble and distant thruster hiss.Video Generation
Aerial drone footage pushing forward over dramatic black volcanic cliffs meeting a turquoise ocean at sunrise. Long rolling waves crash in slow motion against the rocks, sending up fine salt spray that catches the first golden light. The camera slowly descends while rotating, revealing a hidden cove with a crescent of white sand and a single wooden fishing boat. Low-lying mist clings to the cliff tops. Ultra-realistic, warm sunrise color grade, cinematic 35mm look, smooth gimbal motion, ambient wave and wind sound.Video Generation
Extreme slow-motion close-up of a single drop of clear honey falling from a wooden dipper onto a raw honeycomb, rippling outward in concentric waves that catch warm backlight. Dust-like particles drift in the sunlit air around the frame. The camera arcs 180 degrees around the dipper as the droplet lands, revealing tiny air bubbles suspended inside the amber. Macro lens, shallow depth of field, warm golden tones, cinematic filmic grain, soft ambient piano and subtle drip sound.Video Generation
A huge humpback whale glides past the camera in a sunlit tropical sea, caustic light dancing on its back. Tiny silver fish dart in schools around the frame. The camera begins facing upward at the surface where sun rays pierce the water, then rotates slowly downward as the whale passes overhead, revealing its full scale against the deep blue. A second whale appears in the distance below, rising upward. Hyperrealistic underwater cinematography, cool teal palette, volumetric light shafts, soft whale song and muffled ocean ambience.Video Generation

API quick start

Run Seedance 2.0 with a single API call.

POST https://api.wiro.ai/v1/Run/ByteDance/Seedance 2.0
{
  "prompt": "A lone surfer on a longboard carves throu…",
  "resolution": "720p",
  "ratio": "adaptive",
  "duration": 4
}
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