Fix typos

_typos.toml

@@ -4,7 +4,7 @@
 [default.extend-identifiers]
 
 [default.extend-words]
-NIN_="NIN" # NIN is used in scripts/convert_ncsnpp_original_checkpoint_to_diffusers.py
+NIN="NIN" # NIN is used in scripts/convert_ncsnpp_original_checkpoint_to_diffusers.py
 nd="np" # nd may be np (numpy)
 
 

scripts/convert_original_stable_diffusion_to_diffusers.py

@@ -276,7 +276,7 @@ def create_diffusers_schedular(original_config):
 
 
 def create_ldm_bert_config(original_config):
-    bert_params = original_config.model.parms.cond_stage_config.params
+    bert_params = original_config.model.params.cond_stage_config.params
     config = LDMBertConfig(
         d_model=bert_params.n_embed,
         encoder_layers=bert_params.n_layer,

src/diffusers/configuration_utils.py

@@ -272,7 +272,7 @@ def extract_init_dict(cls, config_dict, **kwargs):
         # remove general kwargs if present in dict
         if "kwargs" in expected_keys:
             expected_keys.remove("kwargs")
-        # remove flax interal keys
+        # remove flax internal keys
         if hasattr(cls, "_flax_internal_args"):
             for arg in cls._flax_internal_args:
                 expected_keys.remove(arg)

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py

@@ -58,7 +58,7 @@ def __init__(
         if hasattr(scheduler.config, "steps_offset") and scheduler.config.steps_offset != 1:
             warnings.warn(
                 f"The configuration file of this scheduler: {scheduler} is outdated. `steps_offset`"
-                f" should be set to 1 istead of {scheduler.config.steps_offset}. Please make sure "
+                f" should be set to 1 instead of {scheduler.config.steps_offset}. Please make sure "
                 "to update the config accordingly as leaving `steps_offset` might led to incorrect results"
                 " in future versions. If you have downloaded this checkpoint from the Hugging Face Hub,"
                 " it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json`"

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py

@@ -70,7 +70,7 @@ def __init__(
         if hasattr(scheduler.config, "steps_offset") and scheduler.config.steps_offset != 1:
             warnings.warn(
                 f"The configuration file of this scheduler: {scheduler} is outdated. `steps_offset`"
-                f" should be set to 1 istead of {scheduler.config.steps_offset}. Please make sure "
+                f" should be set to 1 instead of {scheduler.config.steps_offset}. Please make sure "
                 "to update the config accordingly as leaving `steps_offset` might led to incorrect results"
                 " in future versions. If you have downloaded this checkpoint from the Hugging Face Hub,"
                 " it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json`"

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py

@@ -89,7 +89,7 @@ def __init__(
         if hasattr(scheduler.config, "steps_offset") and scheduler.config.steps_offset != 1:
             warnings.warn(
                 f"The configuration file of this scheduler: {scheduler} is outdated. `steps_offset`"
-                f" should be set to 1 istead of {scheduler.config.steps_offset}. Please make sure "
+                f" should be set to 1 instead of {scheduler.config.steps_offset}. Please make sure "
                 "to update the config accordingly as leaving `steps_offset` might led to incorrect results"
                 " in future versions. If you have downloaded this checkpoint from the Hugging Face Hub,"
                 " it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json`"

src/diffusers/schedulers/scheduling_karras_ve_flax.py

@@ -47,7 +47,7 @@ class FlaxKarrasVeOutput(BaseOutput):
             Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the
             denoising loop.
         derivative (`jnp.ndarray` of shape `(batch_size, num_channels, height, width)` for images):
-            Derivate of predicted original image sample (x_0).
+            Derivative of predicted original image sample (x_0).
         state (`KarrasVeSchedulerState`): the `FlaxKarrasVeScheduler` state data class.
     """