1 files changed, 0 insertions, 59 deletions
diff --git a/scripts/batch.py b/scripts/batch.py
deleted file mode 100644
index 1af4a7bc..00000000
--- a/scripts/batch.py
+++ /dev/null
@@ -1,59 +0,0 @@
-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, "")