Create cinematic product stories, launch teasers, and reference-led shorts with Seedance 2.0. It is strongest when a workflow needs text, image, video, and audio inputs working together with steadier continuity across shots.
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Seedance 2.0 is ByteDance's multimodal AI video workflow for teams that need more than a prompt. Text, images, videos, and audio can all shape a short clip with cleaner motion and steadier continuity.
Seedance 2.0 is ByteDance's multimodal AI video workflow for teams that need more than a prompt. Text, images, videos, and audio can all shape a short clip with cleaner motion and steadier continuity.
Seedance 2.0 is strongest when a team already has references, storyboards, music cues, or source footage. The model is built around multimodal control rather than prompt-only generation, which makes it useful for branded, narrative, and edit-heavy video work.
Combine a text prompt with up to 9 reference images, 3 reference videos, and 3 audio tracks in a single Seedance 2.0 workflow. Audio cannot run alone, but together these inputs give the model a much richer control surface than prompt-only video generation.
Seedance 2.0 works best when you treat it like a reference-led video workflow. Start from the shot type, add the images, videos, or audio that should anchor the result, then prompt and iterate around continuity, pacing, and editability.
Start with the Seedance 2.0 route that matches the job: text-to-video, first-frame generation, first-last-frame generation, or an edit and extension pass. Then gather the assets that should anchor the result. Seedance 2.0 can work from a prompt together with reference images, reference videos, and audio, which is why it fits storyboards, ad frames, product stills, prior footage, and music-led concepts.
Describe the subject, action, camera movement, mood, and scene progression clearly. If you are using tagged references such as @hero or @theme, place them naturally in the prompt so Seedance 2.0 can keep the right identity, prop, or style attached to the right beat. Then set the clip length, aspect ratio, and 480p or 720p output that match the channel and review stage.
Once the prompt and reference setup are ready, generate the clip and review continuity, pacing, framing, motion quality, and whether the result lands on the intended final beat. Seedance 2.0 is especially useful when you keep refining the same idea through extensions, edits, or stronger references instead of resetting the visual direction on every attempt.
Seedance 2.0 is most useful when a workflow needs more than basic prompt-to-video output. It is especially strong for multimodal creation, reference-guided storytelling, subject consistency, clip extension, and short-form work that depends on cleaner motion and steadier continuity.
Seedance 2.0 works especially well for launch teasers, premium product videos, and branded short-form campaigns that already have approved stills, packaging references, moodboards, or source footage. It is a strong fit when a team wants exact product form, textures, or colors to survive across multiple shots.
Seedance 2.0 is a strong option for action scenes, dance choreography, fight blocking, and other motion-heavy clips where timing and camera movement matter. A reference video can help transfer pacing and movement language into a new shot without throwing away scene identity.
Seedance 2.0 performs well for music videos, dance performances, and other beat-driven shorts that depend on timing, movement, and visual rhythm. This becomes more useful when a workflow combines uploaded audio, performer references, and cinematic shot planning instead of relying on one loose prompt.
Seedance 2.0 is well suited for narrative shorts, storyboard-to-video workflows, concept trailers, and previz tasks where continuity and scene progression are critical. It works particularly well when a team needs consistent characters, recurring props, and more deliberate camera language without building every beat manually from scratch.
Seedance 2.0 is also effective when a team wants to continue a shot, remix an existing idea, or revise a sequence with stronger reference control. That matters for ad variants, edit-heavy creator work, and any project where the first pass is only the beginning.
Seedance 2.0 fits vertical content, creator campaigns, and fast-turnaround marketing clips that still need a stable visual identity. It is practical when teams want to adapt references, product hooks, or creator-style storytelling into TikTok, Reels, Shorts, and other social-first formats without losing continuity.
Answers about Seedance 2.0 inputs, workflows, continuity, supported formats, editing options, and how to get started.
Seedance 2.0 is ByteDance's multimodal AI video generation model for short-form clips that need more control than a prompt alone can provide. It is designed for workflows that combine text prompts with reference images, reference videos, audio cues, and edit-style revisions, which makes it especially useful for cinematic storytelling, storyboard-led creation, branded content, and multi-shot continuity.
Seedance 2.0 supports natural language prompts together with reference-driven inputs. In the documented workflow, it can use up to 9 reference images, 3 reference videos, and 3 audio tracks in one generation. Audio needs at least one image or video reference to be present, which means the model works best as a structured multimodal setup rather than an isolated audio-first tool.
Yes. Seedance 2.0 is positioned around prompt-led generation, first-frame and first-last-frame workflows, multimodal reference generation, and edit or extension tasks. In practice, that gives teams one model route that can cover blank-page ideation, tighter scene control, clip continuation, and reference-heavy revisions.
Seedance 2.0 works best for cinematic short-form videos, product storytelling, music-driven edits, storyboard-to-video drafts, action reconstruction, and creator content that depends on continuity and more deliberate camera language. It becomes especially useful when a team already has references, storyboards, or source footage and wants the model to follow them instead of inventing everything from a single prompt.
Seedance 2.0 is more useful than a standard text-to-video model when the same face, outfit, product form, or visual style needs to stay stable across multiple shots. Tagged references, image guidance, video references, and edit or extension workflows all help the model carry identity and scene direction forward instead of resetting the look every time.
On WMHub, Seedance 2.0 is configured for 4-second to 15-second clips with vertical, square, widescreen, and adaptive aspect ratio options. The current output settings are 480p and 720p. That makes the page suitable for TikTok, Reels, Shorts, landing page videos, launch teasers, and review-ready short-form content without claiming unsupported 1080p output.
Yes. Seedance 2.0 is particularly well suited for product ads, launch teasers, branded short-form campaigns, and cinematic marketing videos. It becomes more valuable when a team wants packaging, colors, textures, product identity, or brand styling to stay stable across multiple shots instead of drifting between generations.
Yes. Seedance 2.0 is a strong option for music videos, dance performances, performance-led shorts, and other beat-driven concepts when audio cues and performer references need to influence the result together. That is one of the clearest cases where multimodal input matters more than prompt-only generation.
Yes. Seedance 2.0 is useful for clip continuation, scene extension, motion reuse, and edit-style revisions. If the first pass is close but not finished, the model is better treated as an iteration tool than a one-shot generator.
Start by deciding whether the job is prompt-led generation, a frame-guided shot, or an edit and extension pass. Then add the references that actually matter, write a prompt that describes subject, motion, and scene progression clearly, and choose the duration, aspect ratio, and output quality that match the channel. Seedance 2.0 works best when the workflow is intentional instead of vague.
Across demos, reviews, and community testing, the same themes repeat: richer reference control, stronger continuity, cleaner action transfer, and a better fit for serious production workflows.
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What changes the experience is control. Once text, image, video, and audio references work together, Seedance 2.0 feels more like directing than guessing.
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Seedance 2.0 is easier to justify when a team already has approved frames, product stills, or prior footage. That is where its reference-heavy setup matters.
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The model is especially interesting for action, choreography, and camera-led scenes because a reference video can transfer pacing and movement language.
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Continuity is the reason many people compare Seedance 2.0 seriously. The workflow is built for repeated characters, props, and scene identity.
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Music-driven clips are stronger when the model can see performer references and hear audio cues instead of relying on a prompt alone.
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It is not just a prettier first pass. Editing, extension, and richer reference input make it more practical for real iteration.
Create reference-led ads, storyboards, music cuts, and branded short videos with Seedance 2.0 using text, image, video, and audio guidance.
Compare Seedance 2.0 with Kling, Veo, Sora, and other WMHub video models to judge continuity, control surface, audio workflow, and creative fit.
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