add an option to enable tiling image generation

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()

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")

webui.py

@@ -140,6 +140,11 @@ try:
 except Exception:
     pass
 
+
+if cmd_opts.tiling:
+    # this has to be done before the model is loaded
+    modules.sd_hijack.add_circular_option_to_conv_2d()
+
 sd_config = OmegaConf.load(cmd_opts.config)
 shared.sd_model = load_model_from_config(sd_config, cmd_opts.ckpt)
 shared.sd_model = (shared.sd_model if cmd_opts.no_half else shared.sd_model.half())