32dl/month
Identifier
Model ID
ayushshah/beta-vae-capacity-annealing-celebaTags
safetensorsvaevariational-autoencoderbeta-vaeautoencoderimage-editingdisentanglementrepresentation-learninggenerative-modelimage-generationcelebaunconditional-image-generationarxiv:1804.03599license:mitmodel-indexregion:us
Use beta-vae-capacity-annealing-celeba 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, beta-vae-capacity-annealing-celeba runs as a managed extractor inside a processing pipeline. Point a bucket of unconditional image generation 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.
Explore on Mixpeek
Specification
Organizationayushshah
TaskUnconditional Image Generation
Licensemit
Downloads/mo32
View on HuggingFace
See model card, files, and community discussion