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    Models/Image To Image/elismasilva/z-image-control-turbo-unified-tile-8-steps-v2
    Image To Imagediffusersapache-2.0

    z-image-control-turbo-unified-tile-8-steps-v2

    by elismasilva

    Identifier
    Model ID
    elismasilva/z-image-control-turbo-unified-tile-8-steps-v2

    Deploy z-image-control-turbo-unified-tile-8-steps-v2

    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

    diffuserssafetensorsggufimage-to-imagecontrolnettile-upscalez-image-turbolicense:apache-2.0diffusers:ZImagePipelineregion:us

    Use z-image-control-turbo-unified-tile-8-steps-v2 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, z-image-control-turbo-unified-tile-8-steps-v2 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.