138dl/month
3likes
Identifier
Model ID
AlekseyCalvin/Wan1.3B_CausVid_LoRA_MisubiDiffusers_ConversionTags
diffuserswanvideotext-to-videodiffusion-pipeloratemplate:sd-lorastandardbase_model:Wan-AI/Wan2.1-T2V-1.3Bbase_model:adapter:Wan-AI/Wan2.1-T2V-1.3Blicense:apache-2.0region:us
Use Wan1.3B_CausVid_LoRA_MisubiDiffusers_Conversion 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, Wan1.3B_CausVid_LoRA_MisubiDiffusers_Conversion 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
OrganizationAlekseyCalvin
TaskText To Video
Librarydiffusers
Licenseapache-2.0
Downloads/mo138
Likes3
View on HuggingFace
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