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-rw-r--r--modules/shared.py9
1 files changed, 6 insertions, 3 deletions
diff --git a/modules/shared.py b/modules/shared.py
index 879d8424..02cb2722 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -43,6 +43,7 @@ parser.add_argument("--realesrgan-models-path", type=str, help="Path to director
parser.add_argument("--scunet-models-path", type=str, help="Path to directory with ScuNET model file(s).", default=os.path.join(models_path, 'ScuNET'))
parser.add_argument("--swinir-models-path", type=str, help="Path to directory with SwinIR model file(s).", default=os.path.join(models_path, 'SwinIR'))
parser.add_argument("--ldsr-models-path", type=str, help="Path to directory with LDSR model file(s).", default=os.path.join(models_path, 'LDSR'))
+parser.add_argument("--xformers", action='store_true', help="enable xformers for cross attention layers")
parser.add_argument("--opt-split-attention", action='store_true', help="force-enables cross-attention layer optimization. By default, it's on for torch.cuda and off for other torch devices.")
parser.add_argument("--disable-opt-split-attention", action='store_true', help="force-disables cross-attention layer optimization")
parser.add_argument("--opt-split-attention-v1", action='store_true', help="enable older version of split attention optimization that does not consume all the VRAM it can find")
@@ -73,7 +74,7 @@ device = devices.device
batch_cond_uncond = cmd_opts.always_batch_cond_uncond or not (cmd_opts.lowvram or cmd_opts.medvram)
parallel_processing_allowed = not cmd_opts.lowvram and not cmd_opts.medvram
-
+xformers_available = False
config_filename = cmd_opts.ui_settings_file
hypernetworks = hypernetwork.load_hypernetworks(os.path.join(models_path, 'hypernetworks'))
@@ -84,6 +85,7 @@ def selected_hypernetwork():
class State:
+ skipped = False
interrupted = False
job = ""
job_no = 0
@@ -96,6 +98,9 @@ class State:
current_image_sampling_step = 0
textinfo = None
+ def skip(self):
+ self.skipped = True
+
def interrupt(self):
self.interrupted = True
@@ -118,8 +123,6 @@ prompt_styles = modules.styles.StyleDatabase(styles_filename)
interrogator = modules.interrogate.InterrogateModels("interrogate")
face_restorers = []
-# This was moved to webui.py with the other model "setup" calls.
-# modules.sd_models.list_models()
def realesrgan_models_names():