diff --git a/embeddings/Place Textual Inversion embeddings here.txt b/embeddings/Place Textual Inversion embeddings here.txt
new file mode 100644
index 000000000..e69de29bb
diff --git a/modules/bsrgan_model.py b/modules/bsrgan_model.py
index 339f402bc..47346f318 100644
--- a/modules/bsrgan_model.py
+++ b/modules/bsrgan_model.py
@@ -67,7 +67,7 @@ class UpscalerBSRGAN(modules.upscaler.Upscaler):
         else:
             filename = path
         if not os.path.exists(filename) or filename is None:
-            print("Unable to load %s from %s" % (self.model_path, filename))
+            print(f"BSRGAN: Unable to load model from {filename}", file=sys.stderr)
             return None
         model = RRDBNet(in_nc=3, out_nc=3, nf=64, nb=23, gc=32, sf=2)  # define network
         model.load_state_dict(torch.load(filename), strict=True)
diff --git a/modules/images.py b/modules/images.py
index 169e19e64..f1aed5d6b 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -213,17 +213,19 @@ def resize_image(resize_mode, im, width, height):
         if opts.upscaler_for_img2img is None or opts.upscaler_for_img2img == "None" or im.mode == 'L':
             return im.resize((w, h), resample=LANCZOS)
 
-        upscalers = [x for x in shared.sd_upscalers if x.name == opts.upscaler_for_img2img]
-        assert len(upscalers) > 0, f"could not find upscaler named {opts.upscaler_for_img2img}"
-
-        upscaler = upscalers[0]
         scale = max(w / im.width, h / im.height)
-        upscaled = upscaler.scaler.upscale(im, scale, upscaler.data_path)
 
-        if upscaled.width != w or upscaled.height != h:
-            upscaled = im.resize((w, h), resample=LANCZOS)
+        if scale > 1.0:
+            upscalers = [x for x in shared.sd_upscalers if x.name == opts.upscaler_for_img2img]
+            assert len(upscalers) > 0, f"could not find upscaler named {opts.upscaler_for_img2img}"
 
-        return upscaled
+            upscaler = upscalers[0]
+            im = upscaler.scaler.upscale(im, scale, upscaler.data_path)
+
+        if im.width != w or im.height != h:
+            im = im.resize((w, h), resample=LANCZOS)
+
+        return im
 
     if resize_mode == 0:
         res = resize(im, width, height)
diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py
index 5945b7c23..fa7eaeb89 100644
--- a/modules/sd_hijack.py
+++ b/modules/sd_hijack.py
@@ -232,7 +232,12 @@ class StableDiffusionModelHijack:
 
         for fn in os.listdir(dirname):
             try:
-                process_file(os.path.join(dirname, fn), fn)
+                fullfn = os.path.join(dirname, fn)
+
+                if os.stat(fullfn).st_size == 0:
+                    continue
+
+                process_file(fullfn, fn)
             except Exception:
                 print(f"Error loading emedding {fn}:", file=sys.stderr)
                 print(traceback.format_exc(), file=sys.stderr)
diff --git a/modules/ui.py b/modules/ui.py
index ada9a38e9..249b3eea1 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -599,7 +599,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo, run_modelmerger):
                             mask_mode = gr.Radio(label="Mask mode", show_label=False, choices=["Draw mask", "Upload mask"], type="index", value="Draw mask", elem_id="mask_mode")
                             inpainting_mask_invert = gr.Radio(label='Masking mode', show_label=False, choices=['Inpaint masked', 'Inpaint not masked'], value='Inpaint masked', type="index")
 
-                        inpainting_fill = gr.Radio(label='Masked content', choices=['fill', 'original', 'latent noise', 'latent nothing'], value='fill', type="index")
+                        inpainting_fill = gr.Radio(label='Masked content', choices=['fill', 'original', 'latent noise', 'latent nothing'], value='original', type="index")
 
                         with gr.Row():
                             inpaint_full_res = gr.Checkbox(label='Inpaint at full resolution', value=False)