{"apiVersion":"v1","taxonomyVersion":1,"generatedAt":"2026-10-31T03:33:00.409Z","data":{"id":"wsa_7kkhwwzc2a4y","versionId":"ver_udbtiTk973tT","versionNumber":1,"title":"Primal VAE 2x2","maker":"ostris","publisher":"ostris","summary":"Primal VAE 2x2 is a downloadable image autoencoder checkpoint that encodes images into a two-channel latent at 2× spatial reduction. Its latent is trained to have unit-normal statistics and can be patched to match the Flux.2 VAE latent shape.","utility":"Developers can use it to encode and reconstruct images or provide Flux.2-shaped latents to compatible diffusion workflows.","classifications":{"developmentType":"model","capability":["image generation"],"modality":["image"],"access":["open weights","SDK"],"deployment":["on-premises"],"pricing":["unknown"],"targetUser":["developer","researcher"]},"attributes":{"availability":"Weight file: primal_vae_2x2.safetensors","pricingModel":null,"deployment":"Load for inference with Diffusers; example uses CUDA","privacy":null,"licence":null},"score":1,"confidence":"high","capped":false,"correctionState":"current","publicationState":"published","lowConfidence":false,"eligibleForDerivedResults":true,"publishedAt":"2026-10-30T20:40:00.000Z","collectedAt":"2026-10-31T00:47:40.380Z","lastVerifiedAt":"2026-10-31T00:48:01.931Z","versionEffectiveAt":"2026-10-31T00:48:01.931Z","taxonomyVersion":1,"rubricVersion":"evidence-rubric-1","jevVersion":"typesafe/jev-1.13-20260917","webUrl":"https://wowsuchai.withglint.app/records/wsa_7kkhwwzc2a4y"},"nextCursor":null,"license":{"catalog":{"name":"CC BY 4.0","spdx":"CC-BY-4.0","url":"https://creativecommons.org/licenses/by/4.0/","attribution":"wowsuchai","attributionUrl":"https://wowsuchai.withglint.app","covers":["catalog metadata","classifications","generated summaries","feed event metadata"]},"excluded":{"covers":["source quotations","linked source content"],"terms":"Not licensed by wowsuchai. Source quotations and linked source content keep their original rights."}}}