ByteDanceByteDance·🎬 Video Generation

Seedance 2.0 Fast

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Quick reference
Seedance 2.0 Fast — TLDR
  • 🎬 Image-to-video generation from ByteDance's flagship Seedance family
  • ⚡ Speed-optimized "Fast" tier for quicker renders
  • 🎨 Realistic motion, scene consistency, cinematic quality
  • 🖼️ Animates a still image into coherent video
  • 🏢 Built by ByteDance, the company behind TikTok
💰 Pricing
$0.280 – $2.27
per generation
📅 On Venice since
Apr 1, 2026
63 days ago
Provider

ByteDance is a Chinese internet technology company headquartered in Beijing, widely known as the parent company behind TikTok and Douyin. Beyond social media, ByteDance has invested heavily in artificial intelligence research, building generative media models…

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12 models on Venice
8 video · 2 image · 2 inpaint
Since Nov 5, 2025

About this model

Seedance 2.0 Fast (image-to-video) is ByteDance's speed-tuned entry in the Seedance 2.0 video generation family, taking a single still image as input and animating it into video with realistic motion, strong scene consistency, and cinematic quality. Released in April 2026, it represents the latest iteration of ByteDance's flagship video lineup and the "Fast" tier specifically — trading some of the heavier compute of the standard models for quicker turnaround.

It sits alongside two companion Fast modalities released the same day: Seedance 2.0 Fast text-to-video for prompt-driven generation and Seedance 2.0 Fast R2V for reference-guided clips. The Fast line builds on the standard Seedance 2.0 release from late March 2026 and the earlier Seedance 1.5 Pro, while ByteDance's Seedream models cover still image generation and editing.

This model is best suited for users who want to bring a single image to life — turning concept art, product shots, or photographs into short cinematic motion clips — while prioritizing render speed over the maximum-fidelity standard tier.

This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 1d ago