# Release 2.0.8 - The Dawn of Diffusion Models

**URL:** https://discuss.bayesflow.org/t/release-2-0-8-the-dawn-of-diffusion-models/230
**Category:** Announcements
**Created:** [January 29, 2026, 3:16pm UTC](https://discuss.bayesflow.org/t/release-2-0-8-the-dawn-of-diffusion-models/230 "2026-01-29T15:16:32Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![KLDivergence](https://yyz1.discourse-cdn.com/flex007/user_avatar/discuss.bayesflow.org/kldivergence/32/15_2.png) [@KLDivergence](https://discuss.bayesflow.org/u/KLDivergence)
#### Post date: [January 29, 2026, 3:16pm UTC](https://discuss.bayesflow.org/t/release-2-0-8-the-dawn-of-diffusion-models/230/1 "2026-01-29T15:16:32Z")

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Release notes ✨

The next BayesFlow release adds substantial new functionality, largely centered on diffusion models (score-based, flow-matching, consistency) for simulation-based inference (see [[2512.20685] Diffusion Models in Simulation-Based Inference: A Tutorial Review](https://arxiv.org/abs/2512.20685) for more details) and various improvements to the codebase.

Added 🆕

- Guidance support for diffusion models.
- Optional batched sampling for large inference datasets, with progress tracking and wall-clock time reporting.
- Additional progress bars for sampling workflows.
- New options for flow matching, including conditional optimal transport.
- A more robust C2ST test, plus new diagnostics.

Changed 🔧

- Improved diffusion-model solvers.
- Vastly improved default backbones for diffusion-like models (diffusion, flow matching, consistency). Expect significant performance boosts! (BREAKING for loading old models trained in previous versions)
- Improved internal handling of inference phases, enabling arbitrary subnetworks that can process targets, conditions, and time in flexible ways.
- Expanded sampling flexibility (e.g., time-varying parameters, images, and other structured targets/conditions) and `sample_shape` option.

Maintenance 🧹

- Increased test coverage.
- Multiple bug fixes.

As always, happy amortizing!