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    Models/Text To Audio/OzzyGT/LTX-2.3-Distilled-1.1-sdnq-dynamic-int4
    Text To Audiodiffusersapache-2.0

    LTX-2.3-Distilled-1.1-sdnq-dynamic-int4

    by OzzyGT

    Identifier
    Model ID
    OzzyGT/LTX-2.3-Distilled-1.1-sdnq-dynamic-int4

    Tags

    diffuserssafetensorsimage-to-videotext-to-videovideo-to-videoimage-text-to-videoaudio-to-videotext-to-audiovideo-to-audioaudio-to-audiotext-to-audio-videoimage-to-audio-videoimage-text-to-audio-videobase_model:Lightricks/LTX-2.3base_model:quantized:Lightricks/LTX-2.3license:apache-2.0diffusers:LTX2Pipelineregion:us

    Use LTX-2.3-Distilled-1.1-sdnq-dynamic-int4 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, LTX-2.3-Distilled-1.1-sdnq-dynamic-int4 runs as a managed extractor inside a processing pipeline. Point a bucket of text to audio 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.