ByteDanceByteDance·🎬 Video Generation

Seedance 2.0 Fast

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Quick reference
Seedance 2.0 Fast — TLDR
  • 🎬 Text-to-video generation from written prompts
  • ⚡ Speed-tuned variant of the Seedance 2.0 line
  • 🏢 Built by ByteDance, the company behind TikTok
  • 🎨 Realistic motion, scene consistency, cinematic framing
  • 🎯 Sits between the full 2.0 model and the Mini tier
💰 Pricing
$0.280 – $2.27
per generation
📅 On Venice since
Apr 1, 2026
138 days ago
Provider

ByteDance is a Chinese internet technology company headquartered in Beijing's Haidian district, with an associated variable-interest entity incorporated in the Cayman Islands. Best known as a consumer internet operator at enormous scale, it has also become a…

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24 models on Venice
18 video · 3 image · 3 inpaint
Since Nov 5, 2025

About this model

Seedance 2.0 Fast is the latency-optimized member of ByteDance's Seedance 2.0 text-to-video family, arriving in April 2026 just after the standard Seedance 2.0 release. It takes a written prompt and renders a short video clip, trading some of the full model's compute budget for quicker turnaround while keeping the family's hallmarks: believable physical motion, stable subjects across frames, and a cinematic sense of camera and lighting.

Within ByteDance's generative lineup, Seedance covers video while the Seedream family — including Seedream V5 Pro and Seedream V5 Lite — handles still images and editing. The 2.0 generation is offered in several capability tiers, with Seedance 2.0 Mini as the most compact option and the Fast tier positioned as the throughput-friendly middle ground. Companion endpoints extend the same model to other inputs, notably image-to-video and reference-to-video conditioning.

Best suited to iterative creative work: storyboarding, social clips, ad concepting, and any workflow where you want to try many prompts quickly before committing a final render to a heavier tier.

This About section is AI-generated from public sources (Claude Opus 5), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 6d ago