reports that training with medvram is possible.
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2 changed files with 2 additions and 2 deletions
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@ -25,7 +25,7 @@ def train_hypernetwork(*args):
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initial_hypernetwork = shared.loaded_hypernetwork
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assert not shared.cmd_opts.lowvram and not shared.cmd_opts.medvram, 'Training models with lowvram or medvram is not possible'
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assert not shared.cmd_opts.lowvram, 'Training models with lowvram is not possible'
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try:
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sd_hijack.undo_optimizations()
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@ -23,7 +23,7 @@ def preprocess(*args):
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def train_embedding(*args):
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assert not shared.cmd_opts.lowvram and not shared.cmd_opts.medvram, 'Training models with lowvram or medvram is not possible'
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assert not shared.cmd_opts.lowvram, 'Training models with lowvram not possible'
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try:
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sd_hijack.undo_optimizations()
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