diff --git a/api/onnx_web/chain/upscale_outpaint.py b/api/onnx_web/chain/upscale_outpaint.py
index 1719c1e4..cbcf5a67 100644
--- a/api/onnx_web/chain/upscale_outpaint.py
+++ b/api/onnx_web/chain/upscale_outpaint.py
@@ -2,7 +2,7 @@ from diffusers import (
     OnnxStableDiffusionInpaintPipeline,
 )
 from logging import getLogger
-from PIL import Image
+from PIL import Image, ImageDraw
 from typing import Callable, Tuple
 
 from ..diffusion.load import (
@@ -41,7 +41,7 @@ def upscale_outpaint(
     params: ImageParams,
     source_image: Image.Image,
     *,
-    expand: Border,
+    border: Border,
     prompt: str = None,
     mask_image: Image.Image = None,
     fill_color: str = 'white',
@@ -50,7 +50,7 @@ def upscale_outpaint(
     **kwargs,
 ) -> Image.Image:
     prompt = prompt or params.prompt
-    logger.info('upscaling image by expanding borders: %s', expand)
+    logger.info('upscaling image by expanding borders: %s', border)
 
     if mask_image is None:
         # if no mask was provided, keep the full source image
@@ -59,11 +59,13 @@ def upscale_outpaint(
     source_image, mask_image, noise_image, _full_dims = expand_image(
         source_image,
         mask_image,
-        expand,
+        border,
         fill=fill_color,
         noise_source=noise_source,
         mask_filter=mask_filter)
 
+    draw_mask = ImageDraw.Draw(mask_image)
+
     if is_debug():
         source_image.save(base_join(ctx.output_path, 'last-source.png'))
         mask_image.save(base_join(ctx.output_path, 'last-mask.png'))
@@ -98,6 +100,9 @@ def upscale_outpaint(
             num_inference_steps=params.steps,
             width=size.width,
         )
+
+        # once part of the image has been drawn, keep it
+        draw_mask.rectangle((left, top, left + tile, top + tile), fill='black')
         return result.images[0]
 
     output = process_tile_spiral(source_image, SizeChart.auto, 1, [outpaint])
diff --git a/api/onnx_web/chain/utils.py b/api/onnx_web/chain/utils.py
index 41f36ec4..e4f2162d 100644
--- a/api/onnx_web/chain/utils.py
+++ b/api/onnx_web/chain/utils.py
@@ -76,7 +76,7 @@ def process_tile_spiral(
         top = center_y + int(top)
 
         counter += 1
-        logger.info('processing tile %s of %s', counter, len(tiles))
+        logger.info('processing tile %s of %s, %sx%s', counter, len(tiles), left, top)
 
         # TODO: only valid for scale == 1, resize source for others
         tile_image = image.crop((left, top, left + tile, top + tile))