Alibaba85 クレジット / レンダリング最大 10秒

Wan AI動画モデル

Alibaba’s Wan — versatile open-source video model with three variants (T2V, I2V, Keyframe) for full creative control.

料金
概要

Wanとは?

Wan is the video-generation series from Alibaba’s Tongyi Lab. The latest release — Wan 2.7 (April 2026) — added Thinking Mode for logical scene composition, native audio sync, instruction-based editing, and 15s clips at HD. The Wan family is open-source and one of the most feature-rich AI video stacks in 2026.

On ZNIX, the production line is currently Wan 2.6, which is unique in the public landscape because it ships three distinct variants under one family — T2V (text), I2V (image) and R2V (keyframe). That makes Wan the most flexible model on ZNIX for creators who want fine-grained control over both the start and end of a clip. Wan 2.7 integration is in progress.

Wan also has a quieter superpower: temporal stability. It produces less per-frame jitter and noise than Seedance or Kling, which means its output upscales more cleanly when you push to 4K in post.

And because Wan is open-source under Alibaba’s license, the model is well-documented and well-tuned by the community — prompt patterns that work on Wan tend to work consistently across versions.

得意分野

Wanの機能

Three variants in one family

T2V for text, I2V for image, R2V (Keyframe) to lock both start and end frames — best in class for storyboard control.

Low temporal noise

Cleaner upscale to 4K than most rivals. Pairs especially well with ZNIX’s AI Image Upscaler on exported frames.

Open-source provenance

Released under Alibaba’s open license; well-documented prompt patterns and predictable behavior.

Strong on slow, controlled motion

Wan excels at gentle camera moves and elegant slow-mo more than fast action.

料金

Wanの料金は?

レンダリング単位課金、クレジット精算。登録で無料クレジット。商用ライセンス込み。

シナリオクレジットUSD概算
Wan 2.6 T2V · 5s · 1080p85~$0.85
Wan 2.6 I2V · 5s · 1080p100~$1.00
Wan 2.6 R2V (Keyframe) · 5s · 1080p130~$1.30

USD概算は$0.01/クレジット基準。サブスクリプションでさらに割引 — 料金ページをご覧ください。

対象ユーザー

Wanのベストユースケース

KF

Storyboard-driven creators

Lock both the opening and closing frames with R2V (Keyframe); the model fills the in-between motion. Unmatched in the public field.

UP

High-resolution finishers

Render in Wan, then upscale to 4K — the temporal stability holds up where Seedance and Kling start to shimmer.

TR

Tutorial & training video

Slow, controlled motion is exactly what “step 1, step 2, step 3” videos need.

OS

Open-source / dev teams

Predictable prompt behavior makes Wan easy to integrate into automated pipelines.

効果的なプロンプト

Wanのサンプルプロンプト

このモデルで安定して高品質なレンダリングを生む実証済みパターン。

T2V
Slow push-in on a single ceramic vase on a pale wooden shelf, north-facing daylight, 1080p, 5s.

効果的な理由: Wan’s strongest mode: slow controlled motion with low temporal noise — beautiful upscaled to 4K.

Keyframe
[start frame] [end frame] Smooth motion morph from the closed product box to the box fully opened with the SKU revealed, 5s.

効果的な理由: R2V (Keyframe) is unique to Wan in the public field — perfect for product reveal beats.

使い方

Wanで優れた出力を得る方法

  1. 01

    Pick the right variant

    T2V for prompts, I2V for product locks, R2V (Keyframe) for storyboard-driven reveals.

  2. 02

    Keep motion gentle

    Wan rewards slow, controlled camera moves. Fast action goes to Kling or Seedance.

  3. 03

    Render at 1080p

    Native 1080p; upscale to 4K via ZNIX’s AI Upscaler if needed.

  4. 04

    Export and finish

    Output is MP4 with full commercial license.

期待値の設定

Wanを選ばないほうが良い場合

正直な比較で、適切なモデルにブリーフを回せるようにします。

  • Fast action and sports — use Kling.
  • Stylized anime — use Vidu Q2.
  • Cinematic photoreal hero shots — use Seedance.
FAQ

Wan — よくある質問

What is R2V / Keyframe mode?+

R2V lets you upload both a starting and ending frame. The model generates the in-between motion to morph cleanly between them. It’s the closest public model to a true “animate-between-keyframes” workflow.

Is Wan 2.6 truly open-source?+

The model weights are released under Alibaba’s open license. ZNIX.ai runs them on managed infrastructure so you don’t have to host or scale GPUs yourself.

Wan vs Seedance for product video?+

Seedance is sharper out of the box. Wan is preferred when you need to upscale to 4K in post (less temporal shimmer) or when you want keyframe-controlled reveals.

How much does a Keyframe render cost?+

About 130 credits (~$1.30) for 5s at 1080p on ZNIX.

Does Wan support fast action / sports?+

Not as well as Kling. Wan is tuned for slower, controlled motion. For action use Kling or Seedance.

1分以内に最初のWanクリップをレンダリング

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