Merge branch 'dev' into 10141-gradio-user-exif

modules/img2img.py

@@ -1,4 +1,5 @@
 import os
+from pathlib import Path
 
 import numpy as np
 from PIL import Image, ImageOps, ImageFilter, ImageEnhance, ImageChops, UnidentifiedImageError
@@ -14,7 +15,7 @@ from modules.ui import plaintext_to_html
 import modules.scripts
 
 
-def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args):
+def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args, to_scale=False, scale_by=1.0):
     processing.fix_seed(p)
 
     images = shared.listfiles(input_dir)
@@ -22,9 +23,10 @@ def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args):
     is_inpaint_batch = False
     if inpaint_mask_dir:
         inpaint_masks = shared.listfiles(inpaint_mask_dir)
-        is_inpaint_batch = len(inpaint_masks) > 0
-    if is_inpaint_batch:
-        print(f"\nInpaint batch is enabled. {len(inpaint_masks)} masks found.")
+        is_inpaint_batch = bool(inpaint_masks)
+
+        if is_inpaint_batch:
+            print(f"\nInpaint batch is enabled. {len(inpaint_masks)} masks found.")
 
     print(f"Will process {len(images)} images, creating {p.n_iter * p.batch_size} new images for each.")
 
@@ -50,14 +52,31 @@ def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args):
             continue
         # Use the EXIF orientation of photos taken by smartphones.
         img = ImageOps.exif_transpose(img)
+
+        if to_scale:
+            p.width = int(img.width * scale_by)
+            p.height = int(img.height * scale_by)
+
         p.init_images = [img] * p.batch_size
 
+        image_path = Path(image)
         if is_inpaint_batch:
             # try to find corresponding mask for an image using simple filename matching
-            mask_image_path = os.path.join(inpaint_mask_dir, os.path.basename(image))
-            # if not found use first one ("same mask for all images" use-case)
-            if mask_image_path not in inpaint_masks:
+            if len(inpaint_masks) == 1:
                 mask_image_path = inpaint_masks[0]
+            else:
+                # try to find corresponding mask for an image using simple filename matching
+                mask_image_dir = Path(inpaint_mask_dir)
+                masks_found = list(mask_image_dir.glob(f"{image_path.stem}.*"))
+
+                if len(masks_found) == 0:
+                    print(f"Warning: mask is not found for {image_path} in {mask_image_dir}. Skipping it.")
+                    continue
+
+                # it should contain only 1 matching mask
+                # otherwise user has many masks with the same name but different extensions
+                mask_image_path = masks_found[0]
+
             mask_image = Image.open(mask_image_path)
             p.image_mask = mask_image
 
@@ -66,7 +85,7 @@ def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args):
             proc = process_images(p)
 
         for n, processed_image in enumerate(proc.images):
-            filename = os.path.basename(image)
+            filename = image_path.name
 
             if n > 0:
                 left, right = os.path.splitext(filename)
@@ -93,7 +112,8 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
     elif mode == 2:  # inpaint
         image, mask = init_img_with_mask["image"], init_img_with_mask["mask"]
         alpha_mask = ImageOps.invert(image.split()[-1]).convert('L').point(lambda x: 255 if x > 0 else 0, mode='1')
-        mask = ImageChops.lighter(alpha_mask, mask.convert('L')).convert('L')
+        mask = mask.convert('L').point(lambda x: 255 if x > 128 else 0, mode='1')
+        mask = ImageChops.lighter(alpha_mask, mask).convert('L')
         image = image.convert("RGB")
     elif mode == 3:  # inpaint sketch
         image = inpaint_color_sketch
@@ -115,7 +135,7 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
     if image is not None:
         image = ImageOps.exif_transpose(image)
 
-    if selected_scale_tab == 1:
+    if selected_scale_tab == 1 and not is_batch:
         assert image, "Can't scale by because no image is selected"
 
         width = int(image.width * scale_by)
@@ -172,7 +192,7 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
     if is_batch:
         assert not shared.cmd_opts.hide_ui_dir_config, "Launched with --hide-ui-dir-config, batch img2img disabled"
 
-        process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args)
+        process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by)
 
         processed = Processed(p, [], p.seed, "")
     else: