diff --git a/Train_Colab.ipynb b/Train_Colab.ipynb
index 3932e39..cc83a25 100644
--- a/Train_Colab.ipynb
+++ b/Train_Colab.ipynb
@@ -3,8 +3,8 @@
     {
       "cell_type": "markdown",
       "metadata": {
-        "colab_type": "text",
-        "id": "view-in-github"
+        "id": "view-in-github",
+        "colab_type": "text"
       },
       "source": [
         "<a href=\"https://colab.research.google.com/github/nawnie/EveryDream2trainer/blob/main/Train_Colab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
@@ -126,7 +126,7 @@
       },
       "outputs": [],
       "source": [
-        "#@markdown # Finish Install Dependencies into new python\n",
+        "#@markdown # Finish Install Dependencies into the new python\n",
         "#@markdown This will take a couple minutes, be patient and watch the output for \"DONE!\"\n",
         "from IPython.display import clear_output\n",
         "import subprocess\n",
@@ -183,32 +183,34 @@
       "outputs": [],
       "source": [
         "#@title Get A Base Model\n",
-        "#@markdown Choose SD1.5 or Waifu Diffusion 1.3 from the dropdown, or paste your own URL in the box\n",
+        "#@markdown Choose SD1.5, Waifu Diffusion 1.3, SD2.1, or 2.1(512) from the dropdown, or paste your own URL in the box\n",
+        "#@markdown * alternately you can link to a HF repo using NAME/MODEL\n",
+        "#@markdown * link to a set of diffusers on your Gdrive\n",
+        "#@markdown * paste a url, atm there is no support for .safetensors\n",
         "\n",
-        "#@markdown If you already did this once with Gdrive connected, you can skip this step as the cached copy is on your gdrive\n",
         "from IPython.display import clear_output\n",
         "!mkdir input\n",
         "%cd /content/EveryDream2trainer\n",
-        "MODEL_URL = \"sd_v1-5+vae.ckpt\" #@param [\"sd_v1-5+vae.ckpt\", \"hakurei/waifu-diffusion-v1-3\", \"stabilityai/stable-diffusion-2-1-base\", \"stabilityai/stable-diffusion-2-1\"] {allow-input: true}\n",
-        "if MODEL_URL == \"sd_v1-5+vae.ckpt\":\n",
-        "  MODEL_URL = \"panopstor/EveryDream\"\n",
+        "MODEL_LOCATION = \"sd_v1-5+vae.ckpt\" #@param [\"sd_v1-5+vae.ckpt\", \"hakurei/waifu-diffusion-v1-3\", \"stabilityai/stable-diffusion-2-1-base\", \"stabilityai/stable-diffusion-2-1\"] {allow-input: true}\n",
+        "if MODEL_LOCATION == \"sd_v1-5+vae.ckpt\":\n",
+        "  MODEL_LOCATION = \"panopstor/EveryDream\"\n",
         "\n",
         "import os\n",
         "\n",
         "download_path = \"\"\n",
         "\n",
-        "if \".co\" in MODEL_URL or \"https\" in MODEL_URL or \"www\" in MODEL_URL: #maybe just add a radio button to download this should work for now\n",
+        "if \".co\" in MODEL_LOCATION or \"https\" in MODEL_LOCATION or \"www\" in MODEL_LOCATION: #maybe just add a radio button to download this should work for now\n",
         "    print(\"Downloading \")\n",
-        "    !wget $MODEL_URL\n",
+        "    !wget $MODEL_LOCATION\n",
         "    clear_output()\n",
         "    print(\"DONE!\")\n",
         "    download_path = os.path.join(os.getcwd(), os.path.basename(MODEL_URL))\n",
         "\n",
         "else:\n",
-        "  save_name = MODEL_URL\n",
+        "  save_name = MODEL_LOCATION\n",
         "\n",
         "%cd /content/EveryDream2trainer\n",
-        "#@markdown * if you chose to link to diffusers Proceed to the [Run EveryDream 2](#scrollTo=j9pEI69WXS9w&line=2&uniqifier=1) cell\n",
+        "#@markdown * if you chose to link to a .ckpt Select the correct model version in the drop down menu for conversion\n",
         "\n",
         "inference_yaml = \" \"\n",
         "\n",
@@ -247,7 +249,7 @@
         "        save_name = os.path.join(\"/content/drive/MyDrive/everydreamlogs/ckpt\", save_name)\n",
         "if inference_yaml != \" \":\n",
         "  print(\"Model saved to: \" + save_name + \". The \" + inference_yaml + \" was used!\")\n",
-        "print(\"Model \" + save_name + \" will be used!, download will start when training beigins\")\n"
+        "print(\"Model \" + save_name + \" will be used!\")\n"
       ]
     },
     {
@@ -565,8 +567,8 @@
   "metadata": {
     "accelerator": "GPU",
     "colab": {
-      "include_colab_link": true,
-      "provenance": []
+      "provenance": [],
+      "include_colab_link": true
     },
     "gpuClass": "standard",
     "kernelspec": {
@@ -586,4 +588,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}
\ No newline at end of file