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    Models/Text To Video/AlekseyCalvin/SOTS_Art_Wan1.3B_LoRA_rank256_bySilverAgePoets
    Text To Videodiffusersapache-2.0

    SOTS_Art_Wan1.3B_LoRA_rank256_bySilverAgePoets

    by AlekseyCalvin

    Identifier
    Model ID
    AlekseyCalvin/SOTS_Art_Wan1.3B_LoRA_rank256_bySilverAgePoets

    Tags

    diffuserswanvideotext-to-videodiffusion-pipeloratemplate:sd-lorastandardbase_model:Wan-AI/Wan2.1-T2V-1.3Bbase_model:adapter:Wan-AI/Wan2.1-T2V-1.3Blicense:apache-2.0region:us

    Use SOTS_Art_Wan1.3B_LoRA_rank256_bySilverAgePoets on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, SOTS_Art_Wan1.3B_LoRA_rank256_bySilverAgePoets runs as a managed extractor inside a processing pipeline. Point a bucket of text to video data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.