add an option to enable tiling image generation

2 files changed, 7 insertions, 0 deletions

diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py
index 1dbdc9ce..9779c30c 100644
--- a/modules/sd_hijack.py
+++ b/modules/sd_hijack.py
@@ -243,8 +243,13 @@ class EmbeddingsWithFixes(torch.nn.Module):
         return inputs_embeds

 

 

+def add_circular_option_to_conv_2d():

+    conv2d_constructor = torch.nn.Conv2d.__init__

 

+    def conv2d_constructor_circular(self, *args, **kwargs):

+        return conv2d_constructor(self, *args, padding_mode='circular', **kwargs)

 

+    torch.nn.Conv2d.__init__ = conv2d_constructor_circular

 

 

 model_hijack = StableDiffusionModelHijack()

diff --git a/modules/shared.py b/modules/shared.py
index 9e744f6c..0722185d 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -30,6 +30,8 @@ parser.add_argument("--precision", type=str, help="evaluate at this precision",
 parser.add_argument("--share", action='store_true', help="use share=True for gradio and make the UI accessible through their site (doesn't work for me but you might have better luck)")

 parser.add_argument("--esrgan-models-path", type=str, help="path to directory with ESRGAN models", default=os.path.join(script_path, 'ESRGAN'))

 parser.add_argument("--opt-split-attention", action='store_true', help="enable optimization that reduced vram usage by a lot for about 10% decrease in performance")

+parser.add_argument("--tiling", action='store_true', help="causes the model to generate images that can be tiled")

+

 cmd_opts = parser.parse_args()

 

 cpu = torch.device("cpu")