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    Models/Text To Video/GingerLabsPlatform/GingerLabs-Wan2.2-T2V-A14B

    GingerLabs-Wan2.2-T2V-A14B

    by GingerLabsPlatform

    Identifier
    Model ID
    GingerLabsPlatform/GingerLabs-Wan2.2-T2V-A14B

    Deploy GingerLabs-Wan2.2-T2V-A14B

    Single-tenant

    Mixpeek has no managed extractor for this model. On a single-tenant deployment you upload the weights and a custom plugin serves them next to the rest of your pipeline.

    Tags

    wan2.2gguftext-to-videocomfyuifp8quantizedbase_model:Wan-AI/Wan2.2-T2V-A14Bbase_model:finetune:Wan-AI/Wan2.2-T2V-A14Bregion:us

    Use GingerLabs-Wan2.2-T2V-A14B 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, GingerLabs-Wan2.2-T2V-A14B 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.