103dl/month
Identifier
Model ID
AaronHuangWei/Wan2.1-T2V-14B-INT8FakeQuant_pertensorTags
diffuserssafetensorst2vvideo generationtext-to-videoenzhlicense:apache-2.0region:us
Use Wan2.1-T2V-14B-INT8FakeQuant_pertensor on Mixpeek
Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.
Open StudioHow It Runs on Mixpeek
On Mixpeek, Wan2.1-T2V-14B-INT8FakeQuant_pertensor 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.
Specification
OrganizationAaronHuangWei
TaskText To Video
Librarydiffusers
Licenseapache-2.0
Downloads/mo103
View on HuggingFace
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