Rare find
Vector Quantize. Compress data into a smaller set of patterns, useful for AI image and music generation.
github.com/lucidrains/vector-quantize-pytorch
Vaya's read on this project
Problem, audience, market, and the verdict — sign in to see it.
Updates
July 2026
- release FSP and a fix to latent quantizer
- Merge pull request #251 from Horikitasaku/master
- Merge pull request #250 from zhai-lw/master
- fix: LatentQuantize crashes at init when num_codebooks > 1
- add Finite Scalar Perturbation (FSP) from VP-VAE
- cleanup the diveq + residual vq integration
- release diveq integration with residual vq, contributed by @MHVali
- Merge pull request #249 from MHVali/master
- add diveq to residual_vq
- add diveq to residual_vq
June 2026
- Merge pull request #248 from thehalleyyoung/fix/autoencoder-fvq-syntax
- Fix SyntaxError in examples/autoencoder_fvq.py (missing comma)
May 2026
- 1.29.1
- Merge pull request #247 from mahdip72/fix/autograd-safe-codebook-mask
- fix(codebook): avoid in-place mask update
- cite and release
- Merge pull request #246 from mahdip72/draft/hq-fashionmnist-example
- incorporate some changes to DivEq from @MHVali from https://github.co…
April 2026
- feat: add hierarchical quantization example draft
- feedback from the author of DiVeQ
March 2026
- add ability to do a random rotation before scalar quantization, inspi…
- make binary mapper policy optimizable
- build
February 2026
- Release —1.27.21
- Merge pull request #242 from lucidrains/test-fvq
- make sure tests is the optimal vq bridge
- make sure to assert out invalid config
- Merge branch 'master' into test-fvq
- polish up autoencoder fvq with the best config found by @mahdip72
January 2026
- Release —1.27.20