chore: fix typos

extensions-builtin/LDSR/sd_hijack_ddpm_v1.py

@@ -572,7 +572,7 @@ def delta_border(self, h, w):
         :param h: height
         :param w: width
         :return: normalized distance to image border,
-         wtith min distance = 0 at border and max dist = 0.5 at image center
+         with min distance = 0 at border and max dist = 0.5 at image center
         """
         lower_right_corner = torch.tensor([h - 1, w - 1]).view(1, 1, 2)
         arr = self.meshgrid(h, w) / lower_right_corner

modules/api/api.py

@@ -372,7 +372,7 @@ def apply_infotext(self, request, tabname, *, script_runner=None, mentioned_scri
             return {}
 
         possible_fields = infotext_utils.paste_fields[tabname]["fields"]
-        set_fields = request.model_dump(exclude_unset=True) if hasattr(request, "request") else request.dict(exclude_unset=True)  # pydantic v1/v2 have differenrt names for this
+        set_fields = request.model_dump(exclude_unset=True) if hasattr(request, "request") else request.dict(exclude_unset=True)  # pydantic v1/v2 have different names for this
         params = infotext_utils.parse_generation_parameters(request.infotext)
 
         def get_field_value(field, params):

modules/devices.py

@@ -258,7 +258,7 @@ def test_for_nans(x, where):
 @lru_cache
 def first_time_calculation():
     """
-    just do any calculation with pytorch layers - the first time this is done it allocaltes about 700MB of memory and
+    just do any calculation with pytorch layers - the first time this is done it allocates about 700MB of memory and
     spends about 2.7 seconds doing that, at least with NVidia.
     """
 

modules/models/diffusion/uni_pc/uni_pc.py

@@ -323,7 +323,7 @@ def cond_grad_fn(x, t_input, condition):
 
     def model_fn(x, t_continuous, condition, unconditional_condition):
         """
-        The noise predicition model function that is used for DPM-Solver.
+        The noise prediction model function that is used for DPM-Solver.
         """
         if t_continuous.reshape((-1,)).shape[0] == 1:
             t_continuous = t_continuous.expand((x.shape[0]))

modules/shared.py

@@ -47,7 +47,7 @@
 sd_model: sd_models_types.WebuiSdModel = None
 
 settings_components: dict = None
-"""assigned from ui.py, a mapping on setting names to gradio components repsponsible for those settings"""
+"""assigned from ui.py, a mapping on setting names to gradio components responsible for those settings"""
 
 tab_names = []
 

modules/util.py

@@ -156,7 +156,7 @@ def update_file_entry(self, path):
 
 def topological_sort(dependencies):
     """Accepts a dictionary mapping name to its dependencies, returns a list of names ordered according to dependencies.
-    Ignores errors relating to missing dependeencies or circular dependencies
+    Ignores errors relating to missing dependencies or circular dependencies
     """
 
     visited = {}