Highlights
- support for schedulers when using diffusion
- support for minP as a generation parameter
- several fixes for docker support, and we now use a single Dockerfile for all platforms
- trains will now use the first unused split in a dataset if there is no "train" split
- upgrades to MLX LoRA trainer to better support Qwen models
- fix for embedding dataset creation using Synthesizer Docs plugin
- run a model on an inference engine even if the architecture is not listed as supported
Details
- schedulers drop-down in Diffusion tab by @Sourenm in #539
- Add Minimum P sampling for all generations by @deep1401 in #538
- Model architecture override by @mina-parham in #519
- Fix issues related to unsupported engine checkbox by @mina-parham in #546
- Add model architecture on server start by @deep1401 in #540
- Moved entire Workflows router under Experiment by @aahaanmaini in #531
- Fix default inference engine logic for new experiment by @deep1401 in #554
- Fix errors showing up in console from Import Models modal by @dadmobile in #548
- Add Alert Message on Workflow Start by @aahaanmaini in #553
Full Changelog: v0.19.0...v0.19.1