[feat] Provide option to disable xformers from command line (#2373)

Starting `invoke.py` with --no-xformers will disable
memory-efficient-attention support if xformers is installed.

For symmetry, `--xformers` will enable support, but this is already the
default if xformers is available.

ldm/invoke/CLI.py

@@ -45,6 +45,7 @@ def main():
     Globals.try_patchmatch = args.patchmatch
     Globals.always_use_cpu = args.always_use_cpu
     Globals.internet_available = args.internet_available and check_internet()
+    Globals.disable_xformers = not args.xformers
     print(f'>> Internet connectivity is {Globals.internet_available}')
 
     if not args.conf:
@@ -124,7 +125,7 @@ def main():
     # preload the model
     try:
         gen.load_model()
-    except KeyError as e:
+    except KeyError:
         pass
     except Exception as e:
         report_model_error(opt, e)
@@ -731,11 +732,6 @@ def del_config(model_name:str, gen, opt, completer):
     completer.update_models(gen.model_manager.list_models())
 
 def edit_model(model_name:str, gen, opt, completer):
-    current_model = gen.model_name
-#    if model_name == current_model:
-#        print("** Can't edit the active model. !switch to another model first. **")
-#        return
-
     manager = gen.model_manager
     if not (info := manager.model_info(model_name)):
         print(f'** Unknown model {model_name}')
@@ -887,7 +883,7 @@ def prepare_image_metadata(
         try:
             filename = opt.fnformat.format(**wildcards)
         except KeyError as e:
-            print(f'** The filename format contains an unknown key \'{e.args[0]}\'. Will use \'{{prefix}}.{{seed}}.png\' instead')
+            print(f'** The filename format contains an unknown key \'{e.args[0]}\'. Will use {{prefix}}.{{seed}}.png\' instead')
             filename = f'{prefix}.{seed}.png'
         except IndexError:
             print(f'** The filename format is broken or complete. Will use \'{{prefix}}.{{seed}}.png\' instead')

ldm/invoke/args.py

@@ -482,6 +482,12 @@ class Args(object):
             action='store_true',
             help='Force free gpu memory before final decoding',
         )
+        model_group.add_argument(
+            '--xformers',
+            action=argparse.BooleanOptionalAction,
+            default=True,
+            help='Enable/disable xformers support (default enabled if installed)',
+        )
         model_group.add_argument(
             "--always_use_cpu",
             dest="always_use_cpu",

ldm/invoke/generator/diffusers_pipeline.py

@@ -39,6 +39,7 @@ from diffusers.utils.outputs import BaseOutput
 from torchvision.transforms.functional import resize as tv_resize
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 
+from ldm.invoke.globals import Globals
 from ldm.models.diffusion.shared_invokeai_diffusion import InvokeAIDiffuserComponent, ThresholdSettings
 from ldm.modules.textual_inversion_manager import TextualInversionManager
 
@@ -306,7 +307,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             textual_inversion_manager=self.textual_inversion_manager
         )
 
-        if is_xformers_available():
+        if is_xformers_available() and not Globals.disable_xformers:
             self.enable_xformers_memory_efficient_attention()
 
     def image_from_embeddings(self, latents: torch.Tensor, num_inference_steps: int,

ldm/invoke/globals.py

@@ -43,6 +43,9 @@ Globals.always_use_cpu = False
 # The CLI will test connectivity at startup time.
 Globals.internet_available = True
 
+# Whether to disable xformers
+Globals.disable_xformers = False
+
 # whether we are forcing full precision
 Globals.full_precision = False