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    Models/Image Feature Extraction/gingyin/TTPLanet_SDXL_Controlnet_Tile_Realistic
    Image Feature Extractiondiffusersopenrail

    TTPLanet_SDXL_Controlnet_Tile_Realistic

    by gingyin

    Identifier
    Model ID
    gingyin/TTPLanet_SDXL_Controlnet_Tile_Realistic

    Tags

    diffusersControlnetTilestable diffustionimage-feature-extractionlicense:openrailregion:us

    Use TTPLanet_SDXL_Controlnet_Tile_Realistic 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, TTPLanet_SDXL_Controlnet_Tile_Realistic runs as a managed extractor inside a processing pipeline. Point a bucket of image feature extraction 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.