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    Image To ImageXTransferBenchmit

    xtransfer_large_l2_c_0.015_non_targeted

    by hanxunh

    Identifier
    Model ID
    hanxunh/xtransfer_large_l2_c_0.015_non_targeted

    Tags

    XTransferBenchsafetensorsnot-for-all-audiencespytorch_model_hub_mixinmodel_hub_mixinadversarial-attacksrobustnessimage-to-imagearxiv:2505.05528license:mitregion:us

    Use xtransfer_large_l2_c_0.015_non_targeted on Mixpeek

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

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    How It Runs on Mixpeek

    On Mixpeek, xtransfer_large_l2_c_0.015_non_targeted runs as a managed extractor inside a processing pipeline. Point a bucket of image to image 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.