PixversePixverse·🎬 Video Generation

PixVerse v5.6 Transition

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Quick reference
PixVerse v5.6 Transition — TLDR
  • 🎬 Video generation specialized for smooth scene transitions
  • 🎨 Stylized output with broad aspect-ratio support
  • 🖼️ Blends between start and end frames seamlessly
  • 📏 Flexible resolution options across formats
  • 🏢 Built by AI video startup Pixverse
💰 Pricing
$0.440 – $3.80
per generation
📅 On Venice since
Jan 27, 2026
128 days ago
Provider

Pixverse is an AI company focused on video generation. The lab develops models capable of producing video content from various input modalities, positioning itself within the fast-evolving generative video space.

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7 models on Venice
7 video
Since Jan 27, 2026

About this model

PixVerse v5.6 Transition is the transition-focused mode of Pixverse's v5.6 video generation family, released January 2026 and designed to morph smoothly between two supplied frames into a single continuous clip. While the standard PixVerse v5.6 handles text-to-video and image-to-video generation, this variant specializes in interpolating motion and style across a start and end image — useful for creating polished cuts, reveals, and animated bridges between shots.

Within Pixverse's lineup, the v5.6 generation sits alongside the newer PixVerse C1 family (released April 2026), which spans text-, image-, and reference-to-video modes plus its own C1 Transition. The v5.6 line remains a capable choice, offering stylized rendering with broad aspect-ratio and resolution flexibility for creators who prefer its particular output characteristics.

It's best suited for video editors and motion designers who already have two key frames and want an AI-generated transition between them, rather than generating a clip from scratch — making it a targeted tool for stitching, montage work, and stylized scene changes.

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