AI video workflow paradigm
Directing a generated video
Original excerpt
The process is something closer to directing than prompting.
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The author describes how Seedance 2.0 combines image, video, audio and text inputs and compares this process with directing. The article also discusses joint audio-video generation. Read 3 viewpoints with supporting evidence and source links.
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Synthesis
Multi-modal input composition
Seedance 2.0 accepts up to 9 images, 3 video clips, 3 audio files, and a text prompt simultaneously—assigning distinct creative roles to each: composition from images, camera movement from video, rhythm from audio, and descriptive intent from text.
Supporting evidence 1
Original excerpt
Most video models take a text prompt and give you a clip. Seedance 2.0 works differently. You can feed it up to 9 images, 3 video clips, 3 audio files, and a text prompt. The model understands how to use each piece. You can pull the composition from a photo, the camera movement from a video clip, the rhythm from an audio track, and describe how it all works together in words.
shridharathi · Paragraph 14
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AI video input flexibility →Directing a generated video
The author characterizes the process of using Seedance 2.0 as closer to directing than prompting.
Supporting evidence 1
Original excerpt
The process is something closer to directing than prompting.
shridharathi · Paragraph 15
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AI video workflow paradigm →Unified audio-video generation
Seedance 2.0 generates audio and video jointly from a single unified architecture—enabling millisecond-level synchronization and native dual-channel stereo output with layered tracks (e.g., background music, ambient effects, voiceover), not post-hoc dubbing.
Supporting evidence 1
Original excerpt
Seedance 2.0 doesn’t generate video and then dub audio on top. Audio and video come from the same unified architecture, which means they’re synchronized at the millisecond level.
shridharathi · Paragraph 30
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AI video-audio architecture →
Key passages3
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AI video input flexibility
Multi-modal input composition
Original excerpt
Most video models take a text prompt and give you a clip. Seedance 2.0 works differently. You can feed it up to 9 images, 3 video clips, 3 audio files, and a text prompt. The model understands how to use each piece. You can pull the composition from a photo, the camera movement from a video clip, the rhythm from an audio track, and describe how it all works together in words.
AI video-audio architecture
Unified audio-video generation
Original excerpt
Seedance 2.0 doesn’t generate video and then dub audio on top. Audio and video come from the same unified architecture, which means they’re synchronized at the millisecond level.
Mentioned here
All mentioned thingsSeedance 2.0
Mention only
The author describes Seedance 2.0 as a video model that accepts multiple modal inputs—up to 9 images, 3 video clips, 3 audio files, and a text prompt—and assigns distinct creative roles to each input type.
Read supporting evidence · shridharathiSource & methodology
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shridharathi: Viewpoints
shridharathi on AI video-audio architecture, AI video input flexibility, AI video workflow paradigm. Explore 3 viewpoints by topic, with evidence from 1 source.