introduce pre-commit typos check

.pre-commit-config.yaml

@@ -1,7 +1,7 @@
 repos:
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: v0.6.6
+    rev: v0.6.9
     hooks:
       # Run the linter.
       - id: ruff
@@ -10,3 +10,7 @@ repos:
       # Run the formatter.
       - id: ruff-format
         types_or: [python, pyi]
+  - repo: https://github.com/crate-ci/typos
+    rev: v1.26.0
+    hooks:
+      - id: typos

_typos.toml

@@ -0,0 +1,5 @@
+# this is the config file for typos-cli, part of "pre-commit run"
+# use "typos --dump-config" to disocver other configs to override
+
+[default]
+extend-ignore-identifiers-re = ["EmbedND", "embed_nd", "alle"]

src/mflux/controlnet/flux_controlnet.py

@@ -118,7 +118,7 @@ class Flux1Controlnet:
         config = RuntimeConfig(config, self.model_config)
         time_steps = tqdm(range(config.num_inference_steps))
 
-        # Embedd the controlnet reference image
+        # Embed the controlnet reference image
         control_image = ImageUtil.load_image(controlnet_image_path)
         control_image = ControlnetUtil.scale_image(config.height, config.width, control_image)
         control_image = ControlnetUtil.preprocess_canny(control_image)
@@ -135,7 +135,7 @@ class Flux1Controlnet:
             key=mx.random.key(seed)
         )  # fmt: off
 
-        # 2. Embedd the prompt
+        # 2. Embed the prompt
         t5_tokens = self.t5_tokenizer.tokenize(prompt)
         clip_tokens = self.clip_tokenizer.tokenize(prompt)
         prompt_embeds = self.t5_text_encoder.forward(t5_tokens)

src/mflux/flux/flux.py

@@ -82,7 +82,7 @@ class Flux1:
             key=mx.random.key(seed)
         )  # fmt: off
 
-        # 2. Embedd the prompt
+        # 2. Embed the prompt
         t5_tokens = self.t5_tokenizer.tokenize(prompt)
         clip_tokens = self.clip_tokenizer.tokenize(prompt)
         prompt_embeds = self.t5_text_encoder.forward(t5_tokens)

src/mflux/models/transformer/transformer.py

@@ -5,7 +5,7 @@ from mlx import nn
 
 from mflux.config.model_config import ModelConfig
 from mflux.config.runtime_config import RuntimeConfig
-from mflux.models.transformer.ada_layer_norm_continous import (
+from mflux.models.transformer.ada_layer_norm_continuous import (
     AdaLayerNormContinuous,
 )
 from mflux.models.transformer.embed_nd import EmbedND