diff --git a/modules/images.py b/modules/images.py
index b05276c3..4b9667d2 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -39,23 +39,26 @@ def split_grid(image, tile_w=512, tile_h=512, overlap=64):
     w = image.width
     h = image.height
 
-    now = tile_w - overlap  # non-overlap width
-    noh = tile_h - overlap
+    non_overlap_width = tile_w - overlap
+    non_overlap_height = tile_h - overlap
 
-    cols = math.ceil((w - overlap) / now)
-    rows = math.ceil((h - overlap) / noh)
+    cols = math.ceil((w - overlap) / non_overlap_width)
+    rows = math.ceil((h - overlap) / non_overlap_height)
+
+    dx = (w - tile_w) // (cols-1) if cols > 1 else 0
+    dy = (h - tile_h) // (rows-1) if rows > 1 else 0
 
     grid = Grid([], tile_w, tile_h, w, h, overlap)
     for row in range(rows):
         row_images = []
 
-        y = row * noh
+        y = row * dy
 
         if y + tile_h >= h:
             y = h - tile_h
 
         for col in range(cols):
-            x = col * now
+            x = col * dx
 
             if x+tile_w >= w:
                 x = w - tile_w
diff --git a/modules/img2img.py b/modules/img2img.py
index 06de2db3..d5787dd3 100644
--- a/modules/img2img.py
+++ b/modules/img2img.py
@@ -130,7 +130,7 @@ def img2img(prompt: str, init_img, init_img_with_mask, steps: int, sampler_index
 
     else:
 
-        processed = modules.scripts.run(p, *args)
+        processed = modules.scripts.scripts_img2img.run(p, *args)
 
         if processed is None:
             processed = process_images(p)
diff --git a/modules/processing.py b/modules/processing.py
index 2830209e..adc5d851 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -271,7 +271,7 @@ def fill(image, mask):
 
     image_masked = image_masked.convert('RGBa')
 
-    for radius, repeats in [(64, 1), (16, 2), (4, 4), (2, 2), (0, 1)]:
+    for radius, repeats in [(256, 1), (64, 1), (16, 2), (4, 4), (2, 2), (0, 1)]:
         blurred = image_masked.filter(ImageFilter.GaussianBlur(radius)).convert('RGBA')
         for _ in range(repeats):
             image_mod.alpha_composite(blurred)
@@ -290,6 +290,8 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
         self.denoising_strength: float = denoising_strength
         self.init_latent = None
         self.image_mask = mask
+        #self.image_unblurred_mask = None
+        self.latent_mask = None
         self.mask_for_overlay = None
         self.mask_blur = mask_blur
         self.inpainting_fill = inpainting_fill
@@ -308,6 +310,8 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
             if self.inpainting_mask_invert:
                 self.image_mask = ImageOps.invert(self.image_mask)
 
+            #self.image_unblurred_mask = self.image_mask
+
             if self.mask_blur > 0:
                 self.image_mask = self.image_mask.filter(ImageFilter.GaussianBlur(self.mask_blur))
 
@@ -368,7 +372,8 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
         self.init_latent = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(image))
 
         if self.image_mask is not None:
-            latmask = self.image_mask.convert('RGB').resize((self.init_latent.shape[3], self.init_latent.shape[2]))
+            init_mask = self.latent_mask if self.latent_mask is not None else self.image_mask
+            latmask = init_mask.convert('RGB').resize((self.init_latent.shape[3], self.init_latent.shape[2]))
             latmask = np.moveaxis(np.array(latmask, dtype=np.float64), 2, 0) / 255
             latmask = latmask[0]
             latmask = np.tile(latmask[None], (4, 1, 1))
diff --git a/modules/scripts.py b/modules/scripts.py
index 99502857..89a0618d 100644
--- a/modules/scripts.py
+++ b/modules/scripts.py
@@ -18,6 +18,9 @@ class Script:
     def ui(self, is_img2img):
         pass
 
+    def show(self, is_img2img):
+        return True
+
     def run(self, *args):
         raise NotImplementedError()
 
@@ -25,7 +28,7 @@ class Script:
         return ""
 
 
-scripts = []
+scripts_data = []
 
 
 def load_scripts(basedir):
@@ -49,10 +52,8 @@ def load_scripts(basedir):
 
             for key, script_class in module.__dict__.items():
                 if type(script_class) == type and issubclass(script_class, Script):
-                    obj = script_class()
-                    obj.filename = path
+                    scripts_data.append((script_class, path))
 
-                    scripts.append(obj)
         except Exception:
             print(f"Error loading script: {filename}", file=sys.stderr)
             print(traceback.format_exc(), file=sys.stderr)
@@ -69,52 +70,75 @@ def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
     return default
 
 
-def setup_ui(is_img2img):
-    titles = [wrap_call(script.title, script.filename, "title") or f"{script.filename} [error]" for script in scripts]
+class ScriptRunner:
+    def __init__(self):
+        self.scripts = []
 
-    dropdown = gr.Dropdown(label="Script", choices=["None"] + titles, value="None", type="index")
+    def setup_ui(self, is_img2img):
+        for script_class, path in scripts_data:
+            script = script_class()
+            script.filename = path
 
-    inputs = [dropdown]
+            if not script.show(is_img2img):
+                continue
 
-    for script in scripts:
-        script.args_from = len(inputs)
-        controls = script.ui(is_img2img)
+            self.scripts.append(script)
 
-        for control in controls:
-            control.visible = False
+        titles = [wrap_call(script.title, script.filename, "title") or f"{script.filename} [error]" for script in self.scripts]
 
-        inputs += controls
-        script.args_to = len(inputs)
+        dropdown = gr.Dropdown(label="Script", choices=["None"] + titles, value="None", type="index")
+        inputs = [dropdown]
 
-    def select_script(index):
-        if index > 0:
-            script = scripts[index-1]
-            args_from = script.args_from
-            args_to = script.args_to
-        else:
-            args_from = 0
-            args_to = 0
+        for script in self.scripts:
+            script.args_from = len(inputs)
 
-        return [ui.gr_show(True if i == 0 else args_from <= i < args_to) for i in range(len(inputs))]
+            controls = wrap_call(script.ui, script.filename, "ui", is_img2img)
 
-    dropdown.change(
-        fn=select_script,
-        inputs=[dropdown],
-        outputs=inputs
-    )
+            if controls is None:
+                continue
 
-    return inputs
+            for control in controls:
+                control.visible = False
+
+            inputs += controls
+            script.args_to = len(inputs)
+
+        def select_script(script_index):
+            if 0 < script_index <= len(self.scripts):
+                script = self.scripts[script_index-1]
+                args_from = script.args_from
+                args_to = script.args_to
+            else:
+                args_from = 0
+                args_to = 0
+
+            return [ui.gr_show(True if i == 0 else args_from <= i < args_to) for i in range(len(inputs))]
+
+        dropdown.change(
+            fn=select_script,
+            inputs=[dropdown],
+            outputs=inputs
+        )
+
+        return inputs
 
 
-def run(p: StableDiffusionProcessing, *args):
-    script_index = args[0] - 1
+    def run(self, p: StableDiffusionProcessing, *args):
+        script_index = args[0]
 
-    if script_index < 0 or script_index >= len(scripts):
-        return None
+        if script_index == 0:
+            return None
 
-    script = scripts[script_index]
+        script = self.scripts[script_index-1]
 
-    script_args = args[script.args_from:script.args_to]
-    processed = script.run(p, *script_args)
+        if script is None:
+            return None
 
-    return processed
+        script_args = args[script.args_from:script.args_to]
+        processed = script.run(p, *script_args)
+
+        return processed
+
+
+scripts_txt2img = ScriptRunner()
+scripts_img2img = ScriptRunner()
diff --git a/modules/txt2img.py b/modules/txt2img.py
index f5ac0540..fb65a7f6 100644
--- a/modules/txt2img.py
+++ b/modules/txt2img.py
@@ -24,7 +24,7 @@ def txt2img(prompt: str, negative_prompt: str, steps: int, sampler_index: int, u
         use_GFPGAN=use_GFPGAN
     )
 
-    processed = modules.scripts.run(p, *args)
+    processed = modules.scripts.scripts_txt2img.run(p, *args)
 
     if processed is not None:
         pass
diff --git a/modules/ui.py b/modules/ui.py
index ccca871a..65d53bcd 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -162,7 +162,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
                 seed = gr.Number(label='Seed', value=-1)
 
                 with gr.Group():
-                    custom_inputs = modules.scripts.setup_ui(is_img2img=False)
+                    custom_inputs = modules.scripts.scripts_txt2img.setup_ui(is_img2img=False)
 
             with gr.Column(variant='panel'):
                 with gr.Group():
@@ -244,7 +244,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
                 inpainting_fill = gr.Radio(label='Masked content', choices=['fill', 'original', 'latent noise', 'latent nothing'], value='fill', type="index", visible=False)
 
                 with gr.Row():
-                    inpaint_full_res = gr.Checkbox(label='Inpaint at full resolution', value=True, visible=False)
+                    inpaint_full_res = gr.Checkbox(label='Inpaint at full resolution', value=False, visible=False)
                     inpainting_mask_invert = gr.Radio(label='Masking mode', choices=['Inpaint masked', 'Inpaint not masked'], value='Inpaint masked', type="index", visible=False)
 
                 with gr.Row():
@@ -269,7 +269,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
                 seed = gr.Number(label='Seed', value=-1)
 
                 with gr.Group():
-                    custom_inputs = modules.scripts.setup_ui(is_img2img=True)
+                    custom_inputs = modules.scripts.scripts_img2img.setup_ui(is_img2img=True)
 
 
             with gr.Column(variant='panel'):
diff --git a/scripts/poor_mans_outpainting.py b/scripts/poor_mans_outpainting.py
new file mode 100644
index 00000000..98e1def0
--- /dev/null
+++ b/scripts/poor_mans_outpainting.py
@@ -0,0 +1,110 @@
+import math
+
+import modules.scripts as scripts
+import gradio as gr
+from PIL import Image, ImageDraw
+
+from modules import images, processing
+from modules.processing import Processed, process_images
+from modules.shared import opts, cmd_opts, state
+
+
+
+class Script(scripts.Script):
+    def title(self):
+        return "Poor man's outpainting"
+
+    def show(self, is_img2img):
+        return is_img2img
+
+    def ui(self, is_img2img):
+        if not is_img2img:
+            return None
+
+        pixels = gr.Slider(label="Pixels to expand", minimum=8, maximum=128, step=8)
+        mask_blur = gr.Slider(label='Mask blur', minimum=0, maximum=64, step=1, value=4, visible=False)
+        inpainting_fill = gr.Radio(label='Masked content', choices=['fill', 'original', 'latent noise', 'latent nothing'], value='fill', type="index", visible=False)
+
+        return [pixels, mask_blur, inpainting_fill]
+
+    def run(self, p, pixels, mask_blur, inpainting_fill):
+        initial_seed = None
+        initial_info = None
+
+        p.mask_blur = mask_blur
+        p.inpainting_fill = inpainting_fill
+        p.inpaint_full_res = False
+
+        init_img = p.init_images[0]
+        target_w = math.ceil((init_img.width + pixels * 2) / 64) * 64
+        target_h = math.ceil((init_img.height + pixels * 2) / 64) * 64
+
+        border_x = (target_w - init_img.width)//2
+        border_y = (target_h - init_img.height)//2
+
+        img = Image.new("RGB", (target_w, target_h))
+        img.paste(init_img, (border_x, border_y))
+
+        mask = Image.new("L", (img.width, img.height), "white")
+        draw = ImageDraw.Draw(mask)
+        draw.rectangle((border_x + mask_blur * 2, border_y + mask_blur * 2, mask.width - border_x - mask_blur * 2, mask.height - border_y - mask_blur * 2), fill="black")
+
+        latent_mask = Image.new("L", (img.width, img.height), "white")
+        latent_draw = ImageDraw.Draw(latent_mask)
+        latent_draw.rectangle((border_x + 1, border_y + 1, mask.width - border_x - 1, mask.height - border_y - 1), fill="black")
+
+        processing.torch_gc()
+
+        grid = images.split_grid(img, tile_w=p.width, tile_h=p.height, overlap=pixels)
+        grid_mask = images.split_grid(mask, tile_w=p.width, tile_h=p.height, overlap=pixels)
+        grid_latent_mask = images.split_grid(mask, tile_w=p.width, tile_h=p.height, overlap=pixels)
+
+        p.n_iter = 1
+        p.batch_size = 1
+        p.do_not_save_grid = True
+        p.do_not_save_samples = True
+
+        work = []
+        work_mask = []
+        work_latent_mask = []
+        work_results = []
+
+        for (_, _, row), (_, _, row_mask), (_, _, row_latent_mask) in zip(grid.tiles, grid_mask.tiles, grid_latent_mask.tiles):
+            for tiledata, tiledata_mask, tiledata_latent_mask in zip(row, row_mask, row_latent_mask):
+                work.append(tiledata[2])
+                work_mask.append(tiledata_mask[2])
+                work_latent_mask.append(tiledata_latent_mask[2])
+
+        batch_count = len(work)
+        print(f"Poor man's outpainting will process a total of {len(work)} images tiled as {len(grid.tiles[0][2])}x{len(grid.tiles)}.")
+
+        for i in range(batch_count):
+            p.init_images = [work[i]]
+            p.image_mask = work_mask[i]
+            p.latent_mask = work_latent_mask[i]
+
+            state.job = f"Batch {i + 1} out of {batch_count}"
+            processed = process_images(p)
+
+            if initial_seed is None:
+                initial_seed = processed.seed
+                initial_info = processed.info
+
+            p.seed = processed.seed + 1
+            work_results += processed.images
+
+        image_index = 0
+        for y, h, row in grid.tiles:
+            for tiledata in row:
+                tiledata[2] = work_results[image_index] if image_index < len(work_results) else Image.new("RGB", (p.width, p.height))
+                image_index += 1
+
+        combined_image = images.combine_grid(grid)
+
+        if opts.samples_save:
+            images.save_image(combined_image, p.outpath_samples, "", initial_seed, p.prompt, opts.grid_format, info=initial_info)
+
+        processed = Processed(p, [combined_image], initial_seed, initial_info)
+
+        return processed
+