The Walk - Wan 2.2/2.1 - I2V & T2V

    P002-The-Walking-Back-i2v-v20-000010_converted.safetensors LORA / Wan Video 14B i2v 480p

    Model Information
    Model Name
    The Walk - Wan 2.2/2.1 - I2V & T2V
    Version
    i2v_v2.0
    Creator
    FX_FeiHou
    Size
    342.62 MB
    Downloads
    4,269
    Trigger
    walking from behind
    Torrent Details
    BTIH
    CC94FC5922C4E45ACEFB2946DEF1288EDECCD9C4
    BTMH
    E96C6C5D9428843CB23249674605E0185D6AAED6DF72EFE9742984AECBCAF5A6
    SHA256
    36E343B3A99DCF8460AB8B89174F0D77DD91E0CAD6EB4B57E22B06C78BD0C409
    Upload Date
    about a year ago
    Uploader
    CivitasBay.org
    Status
    4 Seeders
    0 Peers
    Info

    This is a Lora with enhanced walking posture for wan2.1/2.2, which can make the generated walking video more smooth and natural.

    This LoRa has been updated to Wan 2.2, and three versions will be released this time,Greatly optimized the problem of small steps in Wan 2.1 version:

    Lite: Training with fewer steps, avoids issues with holding a phone or causing wrinkles, but the walking posture isn't quite perfect.

    Slow: Training with more steps, occasionally causing issues with holding a phone, but the walking motion is more sensual. Videos generated at a 16-fps frame rate will appear in slow motion.

    Normal: Training with more steps, occasionally causing issues with holding a phone, but the walking motion is more sensual. Videos generated at a 16-fps frame rate are at normal speed.


    i2v version updated to v3.0

    Improved the issue of slow motion when characters walk, fixing it to a normal walking speed

    i2v version updated to v2.0

    This version has optimized the stability of walking, avoiding strange walking movements and adding some hand movements

    The i2v_v2.0 version also adds some hand movements, such as:

     adjusted her hair with hand

    Or

    hands on hips

    I tried using Wan2.1 to generate videos of characters walking behind their backs but was unsuccessful. There were always instances of people walking backwards or making strange movements. So I trained this Lora, which will improve the success rate of generating walking back videos.

    Trigger word:

    walking from behind

    Perhaps increasing the number of sampling steps can lead to improvement

    Gallery
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    Trackers
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