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add option to use batch size for training

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AUTOMATIC
2022-10-15 09:24:59 +03:00
parent acedbe67d2
commit c7a86f7fe9
4 changed files with 54 additions and 30 deletions
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3
modules/ui.py
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@@ -1166,6 +1166,7 @@ def create_ui(wrap_gradio_gpu_call):
train_embedding_name = gr.Dropdown(label='Embedding', choices=sorted(sd_hijack.model_hijack.embedding_db.word_embeddings.keys()))
train_hypernetwork_name = gr.Dropdown(label='Hypernetwork', choices=[x for x in shared.hypernetworks.keys()])
learn_rate = gr.Textbox(label='Learning rate', placeholder="Learning rate", value="0.005")
batch_size = gr.Number(label='Batch size', value=1, precision=0)
dataset_directory = gr.Textbox(label='Dataset directory', placeholder="Path to directory with input images")
log_directory = gr.Textbox(label='Log directory', placeholder="Path to directory where to write outputs", value="textual_inversion")
template_file = gr.Textbox(label='Prompt template file', value=os.path.join(script_path, "textual_inversion_templates", "style_filewords.txt"))
@@ -1244,6 +1245,7 @@ def create_ui(wrap_gradio_gpu_call):
inputs=[
train_embedding_name,
learn_rate,
batch_size,
dataset_directory,
log_directory,
training_width,
@@ -1268,6 +1270,7 @@ def create_ui(wrap_gradio_gpu_call):
inputs=[
train_hypernetwork_name,
learn_rate,
batch_size,
dataset_directory,
log_directory,
steps,