unsloth/studio/backend/core/training
Daniel Han 2d974219bf Deploy Krea adapters on Turbo and use its distilled recipe over the API
- DiffusionFamily gains deploy_base_repo (krea/Krea-2-Turbo): deploying a LoRA
  trained on Raw now previews it on Turbo, not the non-distilled Raw checkpoint.
  Scoped to a same-precision override so it never turns an nf4 train base into a
  larger bf16 deploy load; exposed through family_train_infos -> the Train UI's
  onDeployClick / historical-run deploy resolve the deploy base.
- _GENERATION_DEFAULTS gains a Krea entry (8 steps, 0 CFG) so the OpenAI
  /v1/images/generations route matches the Create UI's documented distilled recipe
  instead of falling through to the generic (9, 0.0).
2026-07-06 11:16:25 +00:00
..
__init__.py Reduce and tighten code comments and docstrings repo-wide (#6095) 2026-06-08 23:09:51 -07:00
diffusion_dit_trainer.py Merge branch 'diffusion-train-tab-2' into diffusion-krea2 2026-07-05 07:56:47 +00:00
diffusion_lora_trainer.py Merge branch 'diffusion-train-precision' into diffusion-train-tab-2 2026-07-05 07:56:20 +00:00
diffusion_train_common.py Deploy Krea adapters on Turbo and use its distilled recipe over the API 2026-07-06 11:16:25 +00:00
diffusion_training_service.py [pre-commit.ci] auto fixes from pre-commit.com hooks 2026-07-04 05:08:43 +00:00
resume.py feat(studio): implement S3 dataset loading (completes #5951) (#6222) 2026-06-12 14:52:04 +02:00
s3_dataset.py feat(studio): implement S3 dataset loading (completes #5951) (#6222) 2026-06-12 14:52:04 +02:00
trainer.py Fix Windows Studio UTF-8 startup handling (#6614) 2026-07-01 13:47:33 +01:00
training.py (feat) Add project names to studio training runs (#6512) 2026-06-29 16:06:36 +02:00
worker.py Add MLX-aware public Unsloth trainer API (#6462) 2026-07-02 23:02:26 +01:00