diff --git a/examples/Generate_Images_With_High_Input_Fidelity.ipynb b/examples/Generate_Images_With_High_Input_Fidelity.ipynb index e7252928cf..149555d458 100644 --- a/examples/Generate_Images_With_High_Input_Fidelity.ipynb +++ b/examples/Generate_Images_With_High_Input_Fidelity.ipynb @@ -218,10 +218,10 @@ }, { "cell_type": "markdown", - "id": "5c1c1b35", + "id": "9ad84062", "metadata": {}, "source": [ - "### Add item" + "### Add item" ] }, { @@ -388,7 +388,7 @@ }, { "cell_type": "markdown", - "id": "d2b4a37c", + "id": "4b6ec9a7", "metadata": {}, "source": [ "### Combine multiple pictures with faces" @@ -397,7 +397,7 @@ { "cell_type": "code", "execution_count": 16, - "id": "15bd388f", + "id": "1cee5d82", "metadata": {}, "outputs": [ { @@ -420,7 +420,7 @@ { "cell_type": "code", "execution_count": 17, - "id": "1e7bce49", + "id": "297acd9f", "metadata": {}, "outputs": [], "source": [ @@ -453,7 +453,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d006c4fd", + "id": "763a2c98", "metadata": {}, "outputs": [], "source": [ @@ -464,7 +464,7 @@ { "cell_type": "code", "execution_count": 20, - "id": "1c48397f", + "id": "f7316b1a", "metadata": {}, "outputs": [], "source": [ @@ -483,7 +483,7 @@ { "cell_type": "code", "execution_count": 21, - "id": "7b3dd850", + "id": "35b71ef8", "metadata": {}, "outputs": [], "source": [ @@ -494,7 +494,7 @@ { "cell_type": "code", "execution_count": 47, - "id": "d9616898", + "id": "16f53451", "metadata": {}, "outputs": [ { @@ -889,20 +889,14 @@ "display(extraction_resized_result)" ] }, - { - "cell_type": "markdown", - "id": "e9223e5b", - "metadata": {}, - "source": [ - "## Wrapping up" - ] - }, { "cell_type": "markdown", "id": "f946b293", "metadata": {}, "source": [ - "In this guide, we covered how to enable high input fidelity to better preserve important visual details from input images.\n", + "## Wrapping up\n", + "\n", + "In this cookbook, we covered how to enable high input fidelity to better preserve important visual details from input images.\n", "\n", "Use the example use cases above as inspiration, and try the parameter with your own images to see where high input fidelity makes the biggest difference.\n", "\n",