Wan NSFW
Historique des versions

Wan AI Release Timeline

Every Wan video and image model we host, in the order Alibaba released them. See what changed between versions, pick the right model for the job, and read the full per-model details on each product page.

  1. Wan 2.7NouveauModèle imageJanuary 2026

    Wan 2.7 — image generation companion to the Wan video family.

    • Adds high-fidelity NSFW image generation alongside the video lineup.
    • Shares the Wan 2.x prompt vocabulary, so the same prompt language transfers to video models.
    • Useful as a still-frame previs step before generating with Wan 2.6.
    Mode:
    Text-to-image (T2I)
    Output:
    Still image
  2. Wan 2.6PhareModèle vidéoSeptember 2025

    Wan 2.6 — flagship video model: longest duration, highest fidelity.

    • Up to 15-second clips — longest in the Wan video family.
    • Sharper motion coherence and lighting realism than 2.5.
    • Best choice for portfolio-quality and cinematic NSFW video output.
    Max duration:
    15 s
    Resolution:
    1080p
    Modes:
    T2V, I2V
  3. Wan 2.5StableModèle vidéoJune 2025

    Wan 2.5 — balanced quality and speed for everyday NSFW video.

    • Faster inference than 2.6 at slightly reduced fidelity.
    • Good middle-ground for iterating on prompts and previewing concepts.
    • Supports both image-to-video and text-to-video.
    Max duration:
    10 s
    Resolution:
    1080p
    Modes:
    T2V, I2V
  4. Wan 2.2StableModèle vidéoApril 2025

    Wan 2.2 — major leap in subject consistency and prompt adherence.

    • Keeps faces, body types, and skin tones stable across frames — fewer identity shifts than 2.1.
    • Follows pose, action, and lighting cues more faithfully.
    • More lifelike skin, lighting, and motion. Adds I2V (image-to-video) mode.
    Max duration:
    10 s
    Resolution:
    1080p native
    Modes:
    T2V, I2V
  5. Wan 2.1AncienModèle vidéoFebruary 2025

    Wan 2.1 — the classic Wan video model that started the lineup.

    • First Wan video model with NSFW support on this platform.
    • Text-to-video baseline. Higher chance of frame drift vs newer versions.
    • Kept for reference and for users who prefer its specific visual character.
    Modes:
    T2V