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adjust min/max bucket reso divisible by reso steps #1632
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@@ -128,6 +128,8 @@ These are options related to the configuration of the data set. They cannot be d
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* `batch_size`
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* This corresponds to the command-line argument `--train_batch_size`.
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* `max_bucket_reso`, `min_bucket_reso`
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* Specify the maximum and minimum resolutions of the bucket. It must be divisible by `bucket_reso_steps`.
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These settings are fixed per dataset. That means that subsets belonging to the same dataset will share these settings. For example, if you want to prepare datasets with different resolutions, you can define them as separate datasets as shown in the example above, and set different resolutions for each.
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@@ -118,6 +118,8 @@ DreamBooth の手法と fine tuning の手法の両方とも利用可能な学
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* `batch_size`
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* コマンドライン引数の `--train_batch_size` と同等です。
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* `max_bucket_reso`, `min_bucket_reso`
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* bucketの最大、最小解像度を指定します。`bucket_reso_steps` で割り切れる必要があります。
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これらの設定はデータセットごとに固定です。
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つまり、データセットに所属するサブセットはこれらの設定を共有することになります。
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