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Merge pull request #4056 from MarkovInequality/TI_optimizations
Allow TI training using 6GB VRAM when xformers is available
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@@ -288,11 +288,12 @@ options_templates.update(options_section(('system', "System"), {
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}))
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options_templates.update(options_section(('training', "Training"), {
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"unload_models_when_training": OptionInfo(False, "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM."),
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"unload_models_when_training": OptionInfo(False, "Move VAE and CLIP to RAM when training if possible. Saves VRAM."),
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"dataset_filename_word_regex": OptionInfo("", "Filename word regex"),
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"dataset_filename_join_string": OptionInfo(" ", "Filename join string"),
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"training_image_repeats_per_epoch": OptionInfo(1, "Number of repeats for a single input image per epoch; used only for displaying epoch number", gr.Number, {"precision": 0}),
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"training_write_csv_every": OptionInfo(500, "Save an csv containing the loss to log directory every N steps, 0 to disable"),
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"training_xattention_optimizations": OptionInfo(False, "Use cross attention optimizations while training"),
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}))
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options_templates.update(options_section(('sd', "Stable Diffusion"), {
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