SeedDance

Open-weight dance video generation model from ByteDance.

Open SourceSelf HostedOffline CapableGPU Required (16GB+ VRAM)
0.0 (0)

About

SeedDance is listed as an open-weight model from ByteDance for generating dance videos from music and pose inputs, producing choreographed motion across a variety of dance styles. The GitHub repository the listing points to under the ByteDance organization does not currently resolve, so architecture, weight availability, training details, and licensing cannot be verified at the source. The name is also easy to confuse with ByteDance's Seedance family of text-to-video and image-to-video models, which are commercial hosted models rather than open-weight releases, and no official documentation for a separate SeedDance project is readily available. As described, the tool targets creators who want to synthesize dance content by pairing an audio track with pose guidance, a conditioning setup common in academic music-to-dance and pose-transfer research systems. Until an official repository or model card surfaces, the capabilities summarized here reflect the directory's own description rather than independently confirmed documentation.

Should you use SeedDance?

Pick it when

Only consider it once an official ByteDance repository or model card appears that confirms weights, license, and hardware needs; until then it is a watchlist entry for music-and-pose dance generation.

Look elsewhere when

Skip it for any real project today: the linked repository does not resolve, so nothing here can be installed or verified. It is also easy to confuse with ByteDance's hosted Seedance video models, which are not open-weight.

Alternatives to SeedDance

  • Wan-Dancer

    Published Apache-2.0 music-to-dance model with five trained styles and minute-long 720p output, though it needs datacenter GPUs to run.

  • MimicMotion

    Apache-2.0 pose-guided human video that stitches segments to arbitrary length in 8 GB, but you must supply the choreography as poses.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Advanced (4/5)
Minimum VRAM
16 GB
Added
Apr 3, 2026

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