KXSR Traveling Concept WAN 14B T2V

    kxsr_WAN14B_traveling_concept.safetensors LORA / Wan Video

    Model Information
    Model Name
    KXSR Traveling Concept WAN 14B T2V
    Version
    v1.0
    Creator
    Kytra
    Size
    292.59 MB
    Downloads
    355
    Trigger
    kxsr
    Torrent Details
    BTIH
    649F9A92F54FEE2E8A7461CA6589E3A0E6BC7EBD
    BTMH
    C658168AC29A0E8B276B978B2AA344B265585EE8E92E21556C058E450DE82D9F
    SHA256
    10F7010E1D336EDFD6172B7ADB9DF1ADD45E5B1EDDBF2E0916D360B55B36A75B
    Upload Date
    about a year ago
    Uploader
    CivitasBay.org
    Status
    2 Seeders
    0 Peers
    Info

    KXSR Traveling 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 characters and imaginative interiors with motion in the background or outside the room (typically a window if using our prompt styling). The typical view will be from inside a moving vehicle or structure with the exterior world being dynamic movement in horizontal 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, [describe the person/thing and interior], outside the [describe the movement or happenings outside in the world around them]
    

    Example Prompt

    kxsr, A cartoon raccoon reclines in a cozy camper, wearing a yellow hoodie and jeans, with hands behind its head. A laptop, headphones, book, and mug sit on the table. Outside, trees with autumn leaves whiz by, creating a sense of motion and adventure. Twinkling lights and hanging plants decorate the camper.
    
    • CFG: 5.5

    • Shift value: 4.0

    • LoRA strength: 1.0

    • ~73 frames

    • 720x1280 horizontal aspect ratio

    Technical Details

    • Base model: WAN 2.1 14B Text2Video

    • Training dataset: 80 clips

    • Resolution: 1280 x 720 (horizontal 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.

    Workflow Available here:
    https://drive.google.com/file/d/1qrCm_iA9UNwqjzG8YRRa66a6O39F5afw/view?usp=sharing
    Screenshot shows my typical inference testing setup for lora evals:

    Gallery
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