diff --git a/examples/README.md b/examples/README.md
index c7bdab1..19284a6 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -17,14 +17,14 @@ Provide the text that you want to generate.
 
 ## Optional Parameters
 
-`-–duration`
+`--duration`
 
 float
 
 Specify the length of the generated audio in seconds.
 
 
-`-–speed`
+`--speed`
 
 float, default: 1.0
 
@@ -45,28 +45,41 @@ string, default: "tests/test_en_1_ref_short.wav"
 Provide a reference audio file path to help guide the generation.
 
 
-`–-ref-text`
+`--ref-text`
 
 string, default: "Some call me nature, others call me mother nature." 
 
 Provide a caption for the reference audio.
 
 
-`-–output`
+`--output`
 
 string, default: "output.wav"
 
 Specify the output path where the generated audio will be saved. If not specified, the script will save the output to a default location.
 
+`--cfg`
 
-`-–sway-coef`
+float, default: 2.0
 
-float, default: 0.0
+Specifies the strength used for classifier free guidance
+
+
+`--steps`
+
+int, default: 32
+
+Specify the number of steps used to sample the neural ODE. Lower steps trade off quality for latency.
+
+
+`--sway-coef`
+
+float, default: -1.0
 
 Set the sway sampling coefficient. The best values according to the paper are in the range of [-1.0...1.0].
 
 
-`-–seed`
+`--seed`
 
 int, default: None (random)
 
diff --git a/examples/generate.py b/examples/generate.py
index 1272c4a..c98dd61 100644
--- a/examples/generate.py
+++ b/examples/generate.py
@@ -27,6 +27,7 @@ def generate(
     model_name: str = "lucasnewman/f5-tts-mlx",
     ref_audio_path: Optional[str] = None,
     ref_audio_text: Optional[str] = None,
+    steps: int = 32,
     cfg_strength: float = 2.0,
     sway_sampling_coef: float = -1.0,
     speed: float = 1.0, # used when duration is None as part of the duration heuristic
@@ -83,7 +84,7 @@ def generate(
         mx.expand_dims(audio, axis=0),
         text=text,
         duration=frame_duration,
-        steps=32,
+        steps=steps,
         cfg_strength=cfg_strength,
         sway_sampling_coef=sway_sampling_coef,
         seed=seed,
@@ -138,6 +139,12 @@ def generate(
         default="output.wav",
         help="Path to save the generated audio output",
     )
+    parser.add_argument(
+        "--steps",
+        type=int,
+        default=32,
+        help="Number of steps to take when sampling the neural ODE",
+    )
     parser.add_argument(
         "--cfg",
         type=float,
@@ -171,6 +178,7 @@ def generate(
         model_name=args.model,
         ref_audio_path=args.ref_audio,
         ref_audio_text=args.ref_text,
+        steps=args.steps,
         cfg_strength=args.cfg,
         sway_sampling_coef=args.sway_coef,
         speed=args.speed,
diff --git a/f5_tts_mlx/cfm.py b/f5_tts_mlx/cfm.py
index bd32c56..95ee68c 100644
--- a/f5_tts_mlx/cfm.py
+++ b/f5_tts_mlx/cfm.py
@@ -479,4 +479,4 @@ def from_pretrained(
         f5tts.load_weights(list(weights.items()))
         mx.eval(f5tts.parameters())
         
-        return f5tts
\ No newline at end of file
+        return f5tts
diff --git a/f5_tts_mlx/generate.py b/f5_tts_mlx/generate.py
index 1272c4a..c98dd61 100644
--- a/f5_tts_mlx/generate.py
+++ b/f5_tts_mlx/generate.py
@@ -27,6 +27,7 @@ def generate(
     model_name: str = "lucasnewman/f5-tts-mlx",
     ref_audio_path: Optional[str] = None,
     ref_audio_text: Optional[str] = None,
+    steps: int = 32,
     cfg_strength: float = 2.0,
     sway_sampling_coef: float = -1.0,
     speed: float = 1.0, # used when duration is None as part of the duration heuristic
@@ -83,7 +84,7 @@ def generate(
         mx.expand_dims(audio, axis=0),
         text=text,
         duration=frame_duration,
-        steps=32,
+        steps=steps,
         cfg_strength=cfg_strength,
         sway_sampling_coef=sway_sampling_coef,
         seed=seed,
@@ -138,6 +139,12 @@ def generate(
         default="output.wav",
         help="Path to save the generated audio output",
     )
+    parser.add_argument(
+        "--steps",
+        type=int,
+        default=32,
+        help="Number of steps to take when sampling the neural ODE",
+    )
     parser.add_argument(
         "--cfg",
         type=float,
@@ -171,6 +178,7 @@ def generate(
         model_name=args.model,
         ref_audio_path=args.ref_audio,
         ref_audio_text=args.ref_text,
+        steps=args.steps,
         cfg_strength=args.cfg,
         sway_sampling_coef=args.sway_coef,
         speed=args.speed,