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    Models/Text To Audio/forkjoin-ai/qwen3-tts-12hz-1.7b-customvoice
    Text To Audiotransformersapache-2.0

    qwen3-tts-12hz-1.7b-customvoice

    by forkjoin-ai

    Identifier
    Model ID
    forkjoin-ai/qwen3-tts-12hz-1.7b-customvoice

    Tags

    transformerssafetensorsqwen3_ttstext-generationforkjoin-aiedge-deploymentaethertext-to-audiobase_model:Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoicebase_model:finetune:Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoicelicense:apache-2.0endpoints_compatibleregion:us

    Use qwen3-tts-12hz-1.7b-customvoice 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, qwen3-tts-12hz-1.7b-customvoice 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.