Tiling parameter

scripts/relauncher.py

@@ -19,6 +19,8 @@
 # Creates a public xxxxx.gradio.app share link to allow others to use your interface (requires properly forwarded ports to work correctly)
 share = False
 
+# Generate tiling images
+tiling = False
 
 # Enter other `--arguments` you wish to use - Must be entered as a `--argument ` syntax
 additional_arguments = ""
@@ -37,6 +39,8 @@
  common_arguments += "--optimized-turbo "
 if optimized == True:
  common_arguments += "--optimized "
+if tiling == True:
+ common_arguments += "--tiling "
 if share == True:
  common_arguments += "--share "
 

scripts/webui.py

@@ -44,6 +44,7 @@
 parser.add_argument("--skip-save", action='store_true', help="do not save indiviual samples. For speed measurements.", default=False)
 parser.add_argument('--no-job-manager', action='store_true', help="Don't use the experimental job manager on top of gradio", default=False)
 parser.add_argument("--max-jobs", type=int, help="Maximum number of concurrent 'generate' commands", default=1)
+parser.add_argument("--tiling", action='store_true', help="Generate tiling images", default=False)
 opt = parser.parse_args()
 
 #Should not be needed anymore
@@ -86,6 +87,18 @@
 from ldm.models.diffusion.plms import PLMSSampler
 from ldm.util import instantiate_from_config
 
+# add global options to models
+def patch_conv(**patch):
+ cls = torch.nn.Conv2d
+ init = cls.__init__
+ def __init__(self, *args, **kwargs):
+ return init(self, *args, **kwargs, **patch)
+ cls.__init__ = __init__
+
+if opt.tiling:
+ patch_conv(padding_mode='circular')
+ print("patched for tiling")
+
 try:
  # this silences the annoying "Some weights of the model checkpoint were not used when initializing..." message at start.