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New ScheduleFree support for Flux #1600
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…nto schedule_free
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Thank you. I'm sorry I couldn't merge the last PR. I'll work on this sooner this time. |
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After merging, I noticed that the wrapper doesn't seem to work. I get an error I'll try to fix it, but if you know anything about it, please let me know. |
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kohya-ss
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Sep 17, 2024
* New ScheduleFree support for Flux (#1600) * init * use no schedule * fix typo * update for eval() * fix typo * update * Update train_util.py * Update requirements.txt * update sfwrapper WIP * no need to check schedulefree optimizer * remove debug print * comment out schedulefree wrapper * update readme --------- Co-authored-by: 青龍聖者@bdsqlsz <865105819@qq.com>
nana0304
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Jun 4, 2025
* New ScheduleFree support for Flux (kohya-ss#1600) * init * use no schedule * fix typo * update for eval() * fix typo * update * Update train_util.py * Update requirements.txt * update sfwrapper WIP * no need to check schedulefree optimizer * remove debug print * comment out schedulefree wrapper * update readme --------- Co-authored-by: 青龍聖者@bdsqlsz <865105819@qq.com>
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Old version Details
Whats news?

Because testing found that Flux training works well using AdamWScheduleFree.
1、Add version in
requirements.txtand add old schedulefree optimizer likeAdamWschedulefree and SGDScheduleFree
Directly using like
--optimizer_type=AdamWschedulefree2、(Experiment function)Add ScheduleFreeWarpper for using any base torch.opti.optimizer like Adam、RAdam、SparseAdam etc...
use
--optimizer_schedulefree_wrapperto open optionsuse
--schedulefree_wrapper_argsadd extra schedule free args.SupportList:
example:
--optimizer_type= "RAdam"
--optimizer_schedulefree_wrapper
--schedulefree_wrapper_args momentum=0.9, weight_decay_at_y=0.1