diff options
Diffstat (limited to 'modules/ui.py')
| -rw-r--r-- | modules/ui.py | 8 |
1 files changed, 7 insertions, 1 deletions
diff --git a/modules/ui.py b/modules/ui.py index 2231a8ed..f821fd8d 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -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,
|