From 22faf30c0b485d1907ed15fb037b623b3d6a5016 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 10 Sep 2022 08:45:55 +0300
Subject: [PATCH] add script for batch file processing

---
 scripts/batch.py | 59 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 59 insertions(+)
 create mode 100644 scripts/batch.py

diff --git a/scripts/batch.py b/scripts/batch.py
new file mode 100644
index 00000000..1af4a7bc
--- /dev/null
+++ b/scripts/batch.py
@@ -0,0 +1,59 @@
+import math
+import os
+import sys
+import traceback
+
+import modules.scripts as scripts
+import gradio as gr
+
+from modules.processing import Processed, process_images
+from PIL import Image
+from modules.shared import opts, cmd_opts, state
+
+
+class Script(scripts.Script):
+    def title(self):
+        return "Batch processing"
+
+    def show(self, is_img2img):
+        return is_img2img
+
+    def ui(self, is_img2img):
+        input_dir = gr.Textbox(label="Input directory", lines=1)
+        output_dir = gr.Textbox(label="Output directory", lines=1)
+
+        return [input_dir, output_dir]
+
+    def run(self, p, input_dir, output_dir):
+        images = [file for file in [os.path.join(input_dir, x) for x in os.listdir(input_dir)] if os.path.isfile(file)]
+
+        batch_count = math.ceil(len(images) / p.batch_size)
+        print(f"Will process {len(images)} images in {batch_count} batches.")
+
+        p.batch_count = 1
+        p.do_not_save_grid = True
+        p.do_not_save_samples = True
+
+        state.job_count = batch_count
+
+        for batch_no in range(batch_count):
+            batch_images = []
+            for path in images[batch_no*p.batch_size:(batch_no+1)*p.batch_size]:
+                try:
+                    img = Image.open(path)
+                    batch_images.append((img, path))
+                except:
+                    print(f"Error processing {path}:", file=sys.stderr)
+                    print(traceback.format_exc(), file=sys.stderr)
+
+            if len(batch_images) == 0:
+                continue
+
+            state.job = f"{batch_no} out of {batch_count}: {batch_images[0][1]}"
+            p.init_images = [x[0] for x in batch_images]
+            proc = process_images(p)
+            for image, (_, path) in zip(proc.images, batch_images):
+                filename = os.path.basename(path)
+                image.save(os.path.join(output_dir, filename))
+
+        return Processed(p, [], p.seed, "")