diff --git a/stable_diffusion/image2image.py b/stable_diffusion/image2image.py
index 03b41332..802dee57 100644
--- a/stable_diffusion/image2image.py
+++ b/stable_diffusion/image2image.py
@@ -1,6 +1,7 @@
 # Copyright © 2023 Apple Inc.
 
 import argparse
+import math
 
 import mlx.core as mx
 import numpy as np
@@ -30,6 +31,7 @@ if __name__ == "__main__":
     parser.add_argument("--verbose", "-v", action="store_true")
     args = parser.parse_args()
 
+    # Load the models
     if args.model == "sdxl":
         sd = StableDiffusionXL("stabilityai/sdxl-turbo", float16=args.float16)
         if args.quantize:
@@ -47,6 +49,16 @@ if __name__ == "__main__":
             QuantizedLinear.quantize_module(sd.unet, group_size=32, bits=8)
         args.cfg = args.cfg or 7.5
         args.steps = args.steps or 50
+
+    # Fix the steps if they were set too low
+    if int(args.steps * args.strength) < 1:
+        args.steps = int(math.ceil(1 / args.strength))
+        if args.verbose:
+            print(
+                f"Strength {args.strength} is too low so steps were set to {args.steps}"
+            )
+
+    # Ensure that models are read in memory if needed
     if args.preload_models:
         sd.ensure_models_are_loaded()
 
@@ -62,7 +74,7 @@ if __name__ == "__main__":
     img = mx.array(np.array(img))
     img = (img[:, :, :3].astype(mx.float32) / 255) * 2 - 1
 
-    # Noise and denoise the latents produced by encoding img.
+    # Noise and denoise the latents produced by encoding the img.
     latents = sd.generate_latents_from_image(
         img,
         args.prompt,
diff --git a/stable_diffusion/requirements.txt b/stable_diffusion/requirements.txt
index 18291154..ab85c726 100644
--- a/stable_diffusion/requirements.txt
+++ b/stable_diffusion/requirements.txt
@@ -1,4 +1,4 @@
-mlx>=0.1
+mlx>=0.6
 huggingface-hub
 regex
 numpy
diff --git a/stable_diffusion/txt2image.py b/stable_diffusion/txt2image.py
index 0640f71f..1566bf6b 100644
--- a/stable_diffusion/txt2image.py
+++ b/stable_diffusion/txt2image.py
@@ -30,6 +30,7 @@ if __name__ == "__main__":
     parser.add_argument("--verbose", "-v", action="store_true")
     args = parser.parse_args()
 
+    # Load the models
     if args.model == "sdxl":
         sd = StableDiffusionXL("stabilityai/sdxl-turbo", float16=args.float16)
         if args.quantize:
@@ -47,6 +48,8 @@ if __name__ == "__main__":
             QuantizedLinear.quantize_module(sd.unet, group_size=32, bits=8)
         args.cfg = args.cfg or 7.5
         args.steps = args.steps or 50
+
+    # Ensure that models are read in memory if needed
     if args.preload_models:
         sd.ensure_models_are_loaded()