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1. Commits on Aug 18, 2025

   • fix(training_utils): wrap device in list for DiffusionPipeline (#12178)

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     MengAiDev

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     sayakpaul

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2. Commits on Jul 16, 2025

   • [training] add an offload utility that can be used as a context manager. (#11775)

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     sayakpaul

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     linoytsaban

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3. Commits on Jun 26, 2025

   • Kontext training (#11813)

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4. Commits on Jun 16, 2025

   • [training] show how metadata stuff should be incorporated in training scripts. (#11707)

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     sayakpaul

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     linoytsaban

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5. Commits on May 19, 2025

   • Use HF Papers (#11567)

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     qgallouedec

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     github-actions[bot]

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6. Commits on Apr 9, 2025

   • Update Ruff to latest Version (#10919)

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     DN6

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7. Commits on Feb 1, 2025

   • feat(training-utils): support device and dtype params in compute_density_for_timestep_sampling (#10699)

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     badayvedat

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     sayakpaul

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8. Commits on Jan 21, 2025

   • Enable dreambooth lora finetune example on other devices (#10602)

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     jiqing-feng

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9. Commits on Nov 4, 2024

   • Refac training utils.py (#9815)

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     RogerSinghChugh

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     sayakpaul

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10. Commits on Nov 1, 2024

    • Fixes EMAModel "from_pretrained" method (#9779)

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      SahilCarterr

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      sayakpaul

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11. Commits on Oct 25, 2024

    • [bugfix] bugfix for npu free memory (#9640)

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12. Commits on Oct 16, 2024

    • Resolves [BUG] 'GatheredParameters' object is not callable (#9614)

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      charchit7

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      a-r-r-o-w

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13. Commits on Oct 15, 2024

    • [doc] Fix some docstrings in `src/diffusers/training_utils.py` (#9606)

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      mreraser

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      sayakpaul

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14. Commits on Sep 28, 2024

    • [chore] fix: retain memory utility. (#9543)

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      sayakpaul

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15. Commits on Sep 3, 2024

    • chore: add a cleaning utility to be useful during training. (#9240)

      sayakpaul

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16. Commits on Aug 27, 2024

    • Replace transformers.deepspeed with transformers.integrations.deepspeed (#9281)

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      salcc

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      sayakpaul

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17. Commits on Jun 24, 2024

    • Add extra performance features for EMAModel, torch._foreach operations and better support for non-blocking CPU offloading (#7685)

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18. Commits on Jun 18, 2024

    • [SD3 training] refactor the density and weighting utilities. (#8591)

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      sayakpaul

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19. Commits on Jun 1, 2024

    • Fix DREAM training (#8302)

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      4 peopleauthored
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20. Commits on Apr 27, 2024

    • Add DREAM training (#6381)

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      AmericanPresidentJimmyCarter

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      Jimmy

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21. Commits on Mar 9, 2024

    • Add npu support (#7144)

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      MengqingCao

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22. Commits on Feb 1, 2024

    • add is_torchvision_available (#6800)

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      yiyixuxu

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      yiyixuxu

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23. Commits on Jan 31, 2024

    • fix torchvision import (#6796)

      patrickvonplaten

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24. Commits on Jan 15, 2024

    • [Training Utils] create a utility for casting the lora params during training. (#6553)

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      sayakpaul

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25. Commits on Jan 12, 2024

    • [Training] fix training resuming problem when using FP16 (SDXL LoRA DreamBooth) (#6514)

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      sayakpaul

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26. Commits on Jan 5, 2024

    • Improve LCM(-LoRA) Distillation Scripts (#6420)

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      dg845

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27. Commits on Dec 2, 2023

    • [LoRA serialization] fix: duplicate unet prefix problem. (#5991)

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      sayakpaul

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      patrickvonplaten

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28. Commits on Oct 11, 2023

    • [Examples] use loralinear instead of depecrecated lora attn procs. (#5331)

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      sayakpaul

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29. Commits on Sep 27, 2023

    • [Examples] add `compute_snr()` to training utils. (#5188)

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      sayakpaul

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30. Commits on Jun 22, 2023

    • fix: random module seeding (#3846)

      sayakpaul

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31. Commits on May 22, 2023

    • Refactor full determinism (#3485)

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      patrickvonplaten

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32. Commits on May 11, 2023

    • [deepspeed] partial ZeRO-3 support (#3076)

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      stas00

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      patrickvonplaten

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33. Commits on Mar 6, 2023

    • ema step, don't empty cuda cache (#2563)

      williamberman

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34. Commits on Feb 16, 2023

    • [Utils] Adds `store()` and `restore()` methods to EMAModel (#2302)

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35. Commits on Feb 8, 2023

    • EMA: fix `state_dict()` and `load_state_dict()` & add `cur_decay_value` (#2146)

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      chenguolin

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