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    Models/Text To Video/ussoewwin/Wan2.2_T2V_A14B_VACE-test_fp16_GGUF
    Text To Videocomfyuiapache-2.0

    Wan2.2_T2V_A14B_VACE-test_fp16_GGUF

    by ussoewwin

    Identifier
    Model ID
    ussoewwin/Wan2.2_T2V_A14B_VACE-test_fp16_GGUF

    Tags

    comfyuiggufwan2.2t2vvacevideo-generationwan-aifp16text-to-videoenbase_model:lym00/Wan2.2_T2V_A14B_VACE-testbase_model:quantized:lym00/Wan2.2_T2V_A14B_VACE-testlicense:apache-2.0region:us

    Use Wan2.2_T2V_A14B_VACE-test_fp16_GGUF 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, Wan2.2_T2V_A14B_VACE-test_fp16_GGUF 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.