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update requirements.txt and README to include RAdamScheduleFree optimizer support
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@@ -14,6 +14,12 @@ The command to install PyTorch is as follows:
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### Recent Updates
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### Recent Updates
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Dec 15, 2024:
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- RAdamScheduleFree optimizer is supported. PR [#1830](https://github.com/kohya-ss/sd-scripts/pull/1830) Thanks to nhamanasu!
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- Update to `schedulefree==1.4` is required. Please update individually or with `pip install --use-pep517 --upgrade -r requirements.txt`.
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- Available with `--optimizer_type=RAdamScheduleFree`. No need to specify warm up steps as well as learning rate scheduler.
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Dec 7, 2024:
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Dec 7, 2024:
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- The option to specify the model name during ControlNet training was different in each script. It has been unified. Please specify `--controlnet_model_name_or_path`. PR [#1821](https://github.com/kohya-ss/sd-scripts/pull/1821) Thanks to sdbds!
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- The option to specify the model name during ControlNet training was different in each script. It has been unified. Please specify `--controlnet_model_name_or_path`. PR [#1821](https://github.com/kohya-ss/sd-scripts/pull/1821) Thanks to sdbds!
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@@ -9,7 +9,7 @@ pytorch-lightning==1.9.0
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bitsandbytes==0.44.0
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bitsandbytes==0.44.0
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prodigyopt==1.0
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prodigyopt==1.0
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lion-pytorch==0.0.6
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lion-pytorch==0.0.6
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schedulefree==1.2.7
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schedulefree==1.4
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tensorboard
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tensorboard
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safetensors==0.4.4
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safetensors==0.4.4
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# gradio==3.16.2
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# gradio==3.16.2
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