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    Models/Text To Video/AaronHuangWei/Wan2.1-T2V-14B-INT8FakeQuant_pertensor
    Text To Videodiffusersapache-2.0

    Wan2.1-T2V-14B-INT8FakeQuant_pertensor

    by AaronHuangWei

    Identifier
    Model ID
    AaronHuangWei/Wan2.1-T2V-14B-INT8FakeQuant_pertensor

    Tags

    diffuserssafetensorst2vvideo generationtext-to-videoenzhlicense:apache-2.0region:us

    Use Wan2.1-T2V-14B-INT8FakeQuant_pertensor on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, Wan2.1-T2V-14B-INT8FakeQuant_pertensor 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.