NEWVectors or files. Pick a path.Start →
    Models/Text To Video/gdhe17/Self-Forcing
    Text To Videoself-forcingapache-2.0

    Self-Forcing

    by gdhe17

    5Kdl/month
    130likes
    Identifier
    Model ID
    gdhe17/Self-Forcing

    Tags

    self-forcingtext-to-videoarxiv:2506.08009license:apache-2.0region:us

    Use Self-Forcing 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, Self-Forcing 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.