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Shawn 2023-04-03 18:01:10 -05:00
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Train_Colab.ipynb
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@ -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
}
}