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Highlights

LightlySSL now trains latent world models, starting with LeWM (#2032). LeWM predicts the embedding of the next frame from past frames and actions. Try it in the tutorial Train a World Model and Plan with It (#2076). The world model modules are experimental.

LeWM planning

New method: CAPI, with examples, docs and an ImageNet benchmark (#1993, [#1994], [#1995], [#1996], [#1998]).

The MAE and Pixio TIMM decoders are deprecated in favor of the new MaskedVisionTransformerDecoder (#1978, [#2006]).

Breaking changes

  • The API client is removed. If you still need ApiWorkflowClient, pin lightly<1.6 (#1939). These modules and commands are gone:

    :::text lightly.api, lightly.openapi_generated, lightly.active_learning lightly-download, lightly-serve

  • Deprecated collate functions, model wrappers and arguments are removed, and the PR has a migration table (#2021). The removals are:

    :::text lightly.data.collate (the whole module) lightly.data.imagenet_normalize lightly.models.{BarlowTwins, BYOL, MoCo, NNCLR, SimCLR, SimSiam} lightly.loss.SymNegCosineSimilarityLoss MSNLoss(me_max_weight=...) GaussianBlur(kernel_size=..., scale=...) MemoryBankModule(size=<int>) trainer.weights_summary (CLI config)

  • Python 3.7 is no longer supported (#2028).

  • I-JEPA predictor checkpoints from earlier releases no longer load with strict=True, because the predictor's submodules were renamed (#1978).

Fixes

  • LeJEPALoss now includes all views in SIGReg and the invariance term, so its loss values differ from earlier releases (#2023).
  • WMSELoss no longer raises RuntimeError on construction (#2045).

What's Changed

New Contributors

Full Changelog: https://github.com/lightly-ai/lightly/compare/v1.5.26...v1.6.0

Source: README.md, updated 2026-10-26