Custom Width and Height

1 files changed, 8 insertions, 4 deletions

diff --git a/modules/ui.py b/modules/ui.py
index f821fd8d..8c06ad7c 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1029,7 +1029,8 @@ 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)

+                    process_width = gr.Slider(minimum=64, maximum=2048, step=64, label="Width", value=512)

+                    process_height = gr.Slider(minimum=64, maximum=2048, step=64, label="Height", value=512)

 

                     with gr.Row():

                         process_flip = gr.Checkbox(label='Create flipped copies')

@@ -1050,7 +1051,8 @@ def create_ui(wrap_gradio_gpu_call):
                     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)

+                    training_width = gr.Slider(minimum=64, maximum=2048, step=64, label="Width", value=512)

+                    training_height = gr.Slider(minimum=64, maximum=2048, step=64, label="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)

@@ -1095,7 +1097,8 @@ def create_ui(wrap_gradio_gpu_call):
             inputs=[

                 process_src,

                 process_dst,

-                process_size,

+                process_width,

+                process_height,

                 process_flip,

                 process_split,

                 process_caption,

@@ -1114,7 +1117,8 @@ def create_ui(wrap_gradio_gpu_call):
                 learn_rate,

                 dataset_directory,

                 log_directory,

-                training_size,

+                training_width,

+                training_height,

                 steps,

                 num_repeats,

                 create_image_every,