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    Models/Text To Video/rzgar/minimax_h3_fl2v_lightx2v_4step_int8-convrot_comfy
    Text To Videodiffusion-single-fileapache-2.0

    minimax_h3_fl2v_lightx2v_4step_int8-convrot_comfy

    by rzgar

    Identifier
    Model ID
    rzgar/minimax_h3_fl2v_lightx2v_4step_int8-convrot_comfy

    Deploy minimax_h3_fl2v_lightx2v_4step_int8-convrot_comfy

    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

    diffusion-single-filetext-to-videotext-to-audioaudio-videoloraminimax-h3diffuserspeftbase_model:MiniMaxAI/MiniMax-H3base_model:adapter:MiniMaxAI/MiniMax-H3license:apache-2.0region:us

    Use minimax_h3_fl2v_lightx2v_4step_int8-convrot_comfy 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, minimax_h3_fl2v_lightx2v_4step_int8-convrot_comfy 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.