KXSR Staircase Ascend Concept WAN 14B T2V

    kxsr_WAN14B_staircase_e6.safetensors LORA / Wan Video

    Model Information
    Model Name
    KXSR Staircase Ascend Concept WAN 14B T2V
    Version
    v1.0
    Creator
    Kytra
    Size
    292.59 MB
    Downloads
    189
    Trigger
    kxsr
    Torrent Details
    BTIH
    A376E229CBC0632A1222633588FE2EE3DD5D3D12
    BTMH
    9D306AA11C7F06857854B07E90CBA34E765955A0B5A1894D79653AEDE8967D97
    SHA256
    FCB7985381BE2780ECDADF314EB227E530C6FB4C9C3B60AD7FC08DDD43AF4FCB
    Upload Date
    about a year ago
    Uploader
    CivitasBay.org
    Status
    4 Seeders
    0 Peers
    Info

    KXSR Staircase Ascend LorA for WAN 2.1 14B

    In collaboration with @machinedelusions [https://civarchive.com/user/machinedelusions]

    KXSR Labs presents:
    This LoRA enables the creation of cinematic sequences featuring subjects ascending staircases in imaginative environments. The typical view will be from behind the subject as they ascend a spiral staircase featured on the right side of the vertical aspect ratio generation. Can still create fun results at other aspect ratios/resolutions.

    Use the trigger word "kxsr" to activate the model's specialized training.

    Prompt Format

    kxsr, [person/thing] ascending a [adjective] staircase [describe the world around them]
    

    Example Prompt

    kxsr, high quality nature video featuring a red panda ascending a bamboo staircase while a bird lands on it's head, on the background there is a waterfall
    
    • CFG: 5.5

    • Shift value: 4.5

    • LoRA strength: 1.0

    • ~73 frames

    • 720x1280 vertical aspect ratio

    Technical Details

    • Base model: WAN 2.1 14B Text2Video

    • Training dataset: 80 clips

    • Resolution: 720x1280 (vertical format)

    • Frame count: 73 frames per clip

    • For optimal results, maintain these specifications during inference

    This LoRA works best when you provide detailed descriptions of both the subject and the surrounding environment while following the prescribed format.

    Screenshot shows my typical inference testing setup for lora evals:

    Gallery
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