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Textual Inversion: Added custom training image size and number of repeats per input image in a single epoch

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This commit is contained in:
alg-wiki
2022-10-10 17:07:46 +09:00
committed by AUTOMATIC1111
parent 8f1efdc130
commit ea00c1624b
4 changed files with 24 additions and 9 deletions
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8
modules/ui.py
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@@ -1029,6 +1029,7 @@ def create_ui(wrap_gradio_gpu_call):
process_src = gr.Textbox(label='Source directory')
process_dst = gr.Textbox(label='Destination directory')
process_size = gr.Slider(minimum=64, maximum=2048, step=64, label="Size (width and height)", value=512)
with gr.Row():
process_flip = gr.Checkbox(label='Create flipped copies')
@@ -1043,13 +1044,15 @@ def create_ui(wrap_gradio_gpu_call):
run_preprocess = gr.Button(value="Preprocess", variant='primary')
with gr.Group():
gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding; must specify a directory with a set of 512x512 images</p>")
gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding; must specify a directory with a set of 1:1 ratio images</p>")
train_embedding_name = gr.Dropdown(label='Embedding', choices=sorted(sd_hijack.model_hijack.embedding_db.word_embeddings.keys()))
learn_rate = gr.Number(label='Learning rate', value=5.0e-03)
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"))
training_size = gr.Slider(minimum=64, maximum=2048, step=64, label="Size (width and height)", value=512)
steps = gr.Number(label='Max steps', value=100000, precision=0)
num_repeats = gr.Number(label='Number of repeats for a single input image per epoch', value=100, precision=0)
create_image_every = gr.Number(label='Save an image to log directory every N steps, 0 to disable', value=500, precision=0)
save_embedding_every = gr.Number(label='Save a copy of embedding to log directory every N steps, 0 to disable', value=500, precision=0)
@@ -1092,6 +1095,7 @@ def create_ui(wrap_gradio_gpu_call):
inputs=[
process_src,
process_dst,
process_size,
process_flip,
process_split,
process_caption,
@@ -1110,7 +1114,9 @@ def create_ui(wrap_gradio_gpu_call):
learn_rate,
dataset_directory,
log_directory,
training_size,
steps,
num_repeats,
create_image_every,
save_embedding_every,
template_file,