Copyedits

Author: fchollet

guides/ipynb/keras_cv/generate_images_with_stable_diffusion.ipynb

@@ -253,7 +253,7 @@
     "Both implementations were tasked to generate 3 images with a step count of 50 for each\n",
     "image.  In this benchmark, we used a Tesla T4 GPU.\n",
     "\n",
-    "[All of my benchmarks are open source on GitHub, and may be re-run on Colab to\n",
+    "[All of our benchmarks are open source on GitHub, and may be re-run on Colab to\n",
     "reproduce the results.](https://github.com/LukeWood/stable-diffusion-performance-benchmarks)\n",
     "The results from the benchmark are displayed in the table below:\n",
     "\n",

guides/keras_cv/generate_images_with_stable_diffusion.py

@@ -168,7 +168,7 @@ def plot_images(images):
 Both implementations were tasked to generate 3 images with a step count of 50 for each
 image.  In this benchmark, we used a Tesla T4 GPU.
 
-[All of my benchmarks are open source on GitHub, and may be re-run on Colab to
+[All of our benchmarks are open source on GitHub, and may be re-run on Colab to
 reproduce the results.](https://github.com/LukeWood/stable-diffusion-performance-benchmarks)
 The results from the benchmark are displayed in the table below:
 

guides/md/keras_cv/generate_images_with_stable_diffusion.md

@@ -196,7 +196,7 @@ Stable Diffusion against the KerasCV implementation.
 Both implementations were tasked to generate 3 images with a step count of 50 for each
 image.  In this benchmark, we used a Tesla T4 GPU.
 
-[All of my benchmarks are open source on GitHub, and may be re-run on Colab to
+[All of our benchmarks are open source on GitHub, and may be re-run on Colab to
 reproduce the results.](https://github.com/LukeWood/stable-diffusion-performance-benchmarks)
 The results from the benchmark are displayed in the table below: