Seedance 2.0

Seedance 2.0: AI Video Generation API

What is Seedance 2.0?

Seedance 2.0 is ByteDance's multimodal video generation model, launched February 2026. Built on a 4.5B parameter Dual-Branch Diffusion Transformer architecture, it generates cinematic-quality AI videos from text, images, audio, and video inputs — all simultaneously. It is the first model of its class to co-generate video and synchronized audio in the same latent space, producing dialogue, sound effects, ambient audio, and music without any post-processing. Seedance 2.0 currently leads the Artificial Analysis Elo leaderboard at 1,269, outperforming Google Veo 3, OpenAI Sora 2, and Runway Gen-4.5.

Key Features

Seedance 2.0 introduces several industry firsts. Native audio-video joint generation delivers perfectly synchronized audio from a single prompt — no separate audio pipeline required. Multi-shot storytelling lets you define Shot 1, Shot 2, etc. for cinematic sequences with natural cuts. The omni-reference system accepts up to 9 images, 3 videos, and 3 audio files per generation for precise character, style, and motion consistency. Phoneme-level lip sync operates across 8+ languages. Physics simulation renders realistic gravity, inertia, and fluid dynamics. Videos can be up to 15 seconds at 720p across 7 aspect ratios including 16:9, 9:16, and 21:9.

Best Use Cases

Marketing agencies use Seedance 2.0 to produce product showcase videos and social ads in any format. Film studios and VFX teams prototype pre-viz shots with director-level camera control — specifying movement, lighting, and physics behavior. Short-form content creators and MCNs generate TikTok, Reels, and YouTube Shorts at scale with audio already embedded. The omni-reference system is particularly powerful for character-consistent multi-scene storytelling without costly retakes.

Prompt Tips and Output Quality

Write detailed cinematic prompts specifying camera movement, lighting conditions, and subject behavior. Use the Shot 1:, Shot 2: syntax for multi-shot sequences and explicitly reference uploaded assets in your prompt (image 1 shows the protagonist, video 1 provides the motion style). Enable generate_audio for scenes with dialogue, music, or environmental soundscapes. Draft at 480p for rapid iteration; render finals at 720p.

How to Use Seedance 2.0 on Segmind

Seedance 2.0 is ByteDance's multimodal video generation model that creates cinematic AI videos from text, images, audio, and video inputs with native audio co-generation. Here is how to get the best results.

Text-to-Video

Write detailed prompts specifying camera movement, lighting, and subject action. Example: "a slow dolly shot through a misty forest at dawn, sunlight filtering through the canopy." Set duration to 5s for quick clips or 10-15s for cinematic narratives. Use aspect_ratio 16:9 for landscape and 9:16 for vertical social formats.

Image-to-Video (first_frame_url)

Set first_frame_url to animate a static image into a video. For guided transitions, add last_frame_url — the model generates smooth motion between both frames. Ideal for product reveals, scene transitions, and animated illustrations. Content restriction: ByteDance's policy blocks images containing real human faces — use landscapes, product shots, or AI-generated images without identifiable people.

Omni-Reference Generation (reference_images / reference_videos / reference_audios)

Upload reference assets and cite them in your prompt: "the character from image 1 walks through the scene from image 2 with the motion style of video 1." Combine up to 9 images, 3 videos, and 3 audio files per generation for full character and style consistency across scenes. Note: reference_images cannot be used in the same request as first_frame_url or last_frame_url — choose one input mode per generation.

Multi-Shot Narratives

Use Shot 1:, Shot 2: syntax in your prompt for multi-scene sequences. The model generates natural cuts and transitions within a single output — no manual video editing required.

Audio Co-Generation

Set generate_audio to true for native synchronized audio. The model outputs dialogue, SFX, ambient sounds, and music matched to the visual content. Most effective for scenes with speech, nature sounds, music performances, or action sequences.

Chaining Long Videos

Use return_last_frame to capture the final frame of a generation as an image URL, then pass that as first_frame_url in the next generation. This lets you build seamless videos longer than the 15-second maximum by stitching clip-by-clip.

Parameter Recommendations

Use 480p resolution for drafting and fast iteration. Switch to 720p for production-ready renders. Use aspect_ratio adaptive when animating with first_frame_url to automatically match your source image's proportions. Fix the seed value when A/B testing prompt variations on the same scene. Supported duration values are discrete — 4, 5, 6, 8, 10, 12, 15 seconds.

What inputs does Seedance 2.0 support?

Text prompts, start/end frame images (first_frame_url / last_frame_url), up to 3 video clips, 3 audio files, and up to 9 reference images. Important: first_frame_url / last_frame_url and reference_images are mutually exclusive — use one mode per generation.

How long can generated videos be?

4 to 15 seconds. Supported durations: 4, 5, 6, 8, 10, 12, and 15 seconds.

Does it generate audio natively?

Yes — audio-video co-generation produces dialogue, SFX, ambient sounds, and music synchronized with visual content. Enable by setting generate_audio to true.

What aspect ratios are available?

16:9, 9:16, 1:1, 4:3, 3:4, 21:9, and adaptive (matches the input media's dimensions automatically — useful with first_frame_url to preserve your source image's exact proportions).

How does it compare to Veo 3 and Sora 2?

Seedance 2.0 holds the top Elo rating (1,269) on Artificial Analysis, ahead of Veo 3, Sora 2, and Runway Gen-4.5.

Can I chain multiple clips together?

Yes. Use return_last_frame to capture the final frame, then pass it as first_frame_url in the next generation for seamless sequences beyond 15 seconds.

Are there any content restrictions on first_frame_url?

Yes — ByteDance's content policy blocks images containing real human faces from being used as first_frame_url. Use illustrations, landscapes, product shots, or AI-generated images without identifiable people. Reference images (reference_images array) have the same restriction.