simplify colab
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min_dalle.ipynb
vendored
30
min_dalle.ipynb
vendored
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@ -3,8 +3,8 @@
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{
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"cell_type": "markdown",
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"metadata": {
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"colab_type": "text",
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"id": "view-in-github"
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"id": "view-in-github",
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"colab_type": "text"
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},
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"source": [
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"<a href=\"https://colab.research.google.com/github/kuprel/min-dalle/blob/main/min_dalle.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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@ -30,7 +30,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"metadata": {
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"cellView": "code",
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"colab": {
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@ -102,7 +102,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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@ -145,18 +145,16 @@
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"source": [
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"### Generate Images\n",
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"\n",
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"- `grid_size` Size of the image grid. 3x3 works best when displaying intermediate results. 4x4 has been tested to work on T4 and P100 with intermediate_image_count = 1\n",
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"- `grid_size` Size of the image grid. 3x3 works best when displaying intermediate outputs. 4x4 has been tested to work on T4 and P100 with intermediate outputs off\n",
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"\n",
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"- `seed` Set the seed to a positive number for reproducible results\n",
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"\n",
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"- `intermediate_image_count` Set the total number of images to show while running. Each image adds a slight delay.\n",
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"- `intermediate_outputs` Whether to show intermediate output. Adds a small delay and increases memory usage.\n",
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"\n",
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"- `supercondition_factor` Higher values result in better agreement with the text but a narrower variety of generated images"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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@ -189,16 +187,16 @@
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"%%time\n",
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"\n",
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"text = \"Dali painting of WALL·E\" #@param {type:\"string\"}\n",
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"intermediate_outputs = True #@param {type:\"boolean\"}\n",
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"grid_size = 3 #@param {type:\"integer\"}\n",
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"seed = -1 #@param {type:\"integer\"}\n",
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"intermediate_image_count = 4 #@param [\"1\", \"2\", \"4\", \"8\", \"16\"] {type:\"raw\"}\n",
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"supercondition_factor = 8 #@param [\"2\", \"4\", \"8\", \"16\", \"32\", \"64\"] {type:\"raw\"}\n",
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"log2_mid_count = 3 if intermediate_outputs else 0\n",
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"\n",
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"image_stream = model.generate_image_stream(\n",
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" text=text,\n",
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" seed=seed,\n",
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" seed=-1,\n",
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" grid_size=grid_size,\n",
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" log2_mid_count=log2(intermediate_image_count),\n",
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" log2_mid_count=log2_mid_count,\n",
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" log2_supercondition_factor=log2(supercondition_factor)\n",
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")\n",
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"\n",
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@ -216,9 +214,9 @@
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"collapsed_sections": [
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"Zl_ZFisFApeh"
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],
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"include_colab_link": true,
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"name": "min-dalle",
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"provenance": []
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"provenance": [],
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"include_colab_link": true
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},
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"gpuClass": "standard",
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"kernelspec": {
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@ -231,4 +229,4 @@
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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}
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