Upload kandinsky_community_kandinsky_2_2_decoder.ipynb
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kandinsky_community_kandinsky_2_2_decoder.ipynb
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": [],
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"gpuType": "T4"
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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},
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"accelerator": "GPU"
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},
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"Install the library"
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],
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"metadata": {
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"id": "BV2F3IkW7lT5"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"!pip install diffusers\n",
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"!pip install Pillow"
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],
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"metadata": {
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"id": "f5RXwnZi7ql2",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "61617fd7-6aa0-42bc-d07b-1cd1c67ec43d"
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},
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Collecting diffusers\n",
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| 48 |
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" Downloading diffusers-0.29.2-py3-none-any.whl.metadata (19 kB)\n",
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| 49 |
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"Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.10/dist-packages (from diffusers) (8.2.0)\n",
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"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from diffusers) (3.15.4)\n",
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"Requirement already satisfied: huggingface-hub>=0.23.2 in /usr/local/lib/python3.10/dist-packages (from diffusers) (0.23.5)\n",
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"Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from diffusers) (1.26.4)\n",
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"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from diffusers) (2024.5.15)\n",
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"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from diffusers) (2.31.0)\n",
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"Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from diffusers) (0.4.3)\n",
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"Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from diffusers) (9.4.0)\n",
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"Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.2->diffusers) (2024.6.1)\n",
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"Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.2->diffusers) (24.1)\n",
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"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.2->diffusers) (6.0.1)\n",
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"Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.2->diffusers) (4.66.4)\n",
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"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.23.2->diffusers) (4.12.2)\n",
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"Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata->diffusers) (3.19.2)\n",
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"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers) (3.3.2)\n",
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"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers) (3.7)\n",
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| 65 |
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"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers) (2.0.7)\n",
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| 66 |
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"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->diffusers) (2024.7.4)\n",
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| 67 |
+
"Downloading diffusers-0.29.2-py3-none-any.whl (2.2 MB)\n",
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| 68 |
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"\u001b[2K \u001b[90mββββββββββββββββββββββββββββββββββββββββ\u001b[0m \u001b[32m2.2/2.2 MB\u001b[0m \u001b[31m38.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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| 69 |
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"\u001b[?25hInstalling collected packages: diffusers\n",
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| 70 |
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"Successfully installed diffusers-0.29.2\n",
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| 71 |
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"Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (9.4.0)\n"
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]
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| 73 |
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}
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| 74 |
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]
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},
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| 76 |
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{
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| 77 |
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"cell_type": "markdown",
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| 78 |
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"source": [
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| 79 |
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"Importation Class Fron Library"
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| 80 |
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],
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| 81 |
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"metadata": {
|
| 82 |
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"id": "yCM1UVvK87D6"
|
| 83 |
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}
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| 84 |
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},
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| 85 |
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{
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| 86 |
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"cell_type": "code",
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| 87 |
+
"execution_count": null,
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| 88 |
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"metadata": {
|
| 89 |
+
"id": "oQZ9MSf33sJo",
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| 90 |
+
"colab": {
|
| 91 |
+
"base_uri": "https://localhost:8080/"
|
| 92 |
+
},
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| 93 |
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"outputId": "1cf4be43-fc01-4f17-f3f5-38ff0c1b5fc7"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stderr",
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| 99 |
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"text": [
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| 100 |
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"/usr/local/lib/python3.10/dist-packages/diffusers/models/vq_model.py:20: FutureWarning: `VQEncoderOutput` is deprecated and will be removed in version 0.31. Importing `VQEncoderOutput` from `diffusers.models.vq_model` is deprecated and this will be removed in a future version. Please use `from diffusers.models.autoencoders.vq_model import VQEncoderOutput`, instead.\n",
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| 101 |
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" deprecate(\"VQEncoderOutput\", \"0.31\", deprecation_message)\n",
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| 102 |
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"/usr/local/lib/python3.10/dist-packages/diffusers/models/vq_model.py:25: FutureWarning: `VQModel` is deprecated and will be removed in version 0.31. Importing `VQModel` from `diffusers.models.vq_model` is deprecated and this will be removed in a future version. Please use `from diffusers.models.autoencoders.vq_model import VQModel`, instead.\n",
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| 103 |
+
" deprecate(\"VQModel\", \"0.31\", deprecation_message)\n"
|
| 104 |
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]
|
| 105 |
+
}
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| 106 |
+
],
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| 107 |
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"source": [
|
| 108 |
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"import torch\n",
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| 109 |
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"from diffusers import AutoPipelineForImage2Image\n",
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| 110 |
+
"from diffusers.utils import load_image, make_image_grid\n",
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| 111 |
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"from PIL import Image"
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| 112 |
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]
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| 113 |
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},
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| 114 |
+
{
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| 115 |
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"cell_type": "markdown",
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| 116 |
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"source": [
|
| 117 |
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"Defiende Model"
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| 118 |
+
],
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| 119 |
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"metadata": {
|
| 120 |
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"id": "Hdz_Sdza5dH0"
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| 121 |
+
}
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"cell_type": "code",
|
| 125 |
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"source": [
|
| 126 |
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"Model_ID = \"kandinsky-community/kandinsky-2-2-decoder\""
|
| 127 |
+
],
|
| 128 |
+
"metadata": {
|
| 129 |
+
"id": "EWWt67554KUE"
|
| 130 |
+
},
|
| 131 |
+
"execution_count": null,
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| 132 |
+
"outputs": []
|
| 133 |
+
},
|
| 134 |
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{
|
| 135 |
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"cell_type": "markdown",
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| 136 |
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"source": [
|
| 137 |
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"Load a checkpoint into the AutoPipelineForImage2Image class"
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| 138 |
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],
|
| 139 |
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"metadata": {
|
| 140 |
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"id": "ZF7YAu_E4-66"
|
| 141 |
+
}
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
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"cell_type": "code",
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| 145 |
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"source": [
|
| 146 |
+
"!pip inst"
|
| 147 |
+
],
|
| 148 |
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"metadata": {
|
| 149 |
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"id": "z0PK-qjXjfg4"
|
| 150 |
+
},
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| 151 |
+
"execution_count": null,
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| 152 |
+
"outputs": []
|
| 153 |
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},
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| 154 |
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{
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| 155 |
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"cell_type": "code",
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| 156 |
+
"source": [
|
| 157 |
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"pipeline = AutoPipelineForImage2Image.from_pretrained(\n",
|
| 158 |
+
" Model_ID, torch_dtype=torch.float16, use_safetensors=True\n",
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| 159 |
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")\n",
|
| 160 |
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"pipeline.enable_model_cpu_offload()\n",
|
| 161 |
+
"# remove following line if xFormers is not installed or you have PyTorch 2.0 or higher installed\n",
|
| 162 |
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"pipeline.enable_xformers_memory_efficient_attention()"
|
| 163 |
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],
|
| 164 |
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"metadata": {
|
| 165 |
+
"id": "ouPl34nS3-J-"
|
| 166 |
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},
|
| 167 |
+
"execution_count": null,
|
| 168 |
+
"outputs": []
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"cell_type": "markdown",
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| 172 |
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"source": [
|
| 173 |
+
"Load an image to pass to the pipeline:"
|
| 174 |
+
],
|
| 175 |
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"metadata": {
|
| 176 |
+
"id": "anRfKcIW4xTz"
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| 177 |
+
}
|
| 178 |
+
},
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| 179 |
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{
|
| 180 |
+
"cell_type": "code",
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| 181 |
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"source": [
|
| 182 |
+
"init_image = Image.open('/content/sample_data/New file (2).png')"
|
| 183 |
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],
|
| 184 |
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"metadata": {
|
| 185 |
+
"id": "HsAxLauF5pnE"
|
| 186 |
+
},
|
| 187 |
+
"execution_count": null,
|
| 188 |
+
"outputs": []
|
| 189 |
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},
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| 190 |
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{
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| 191 |
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"cell_type": "markdown",
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| 192 |
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"source": [
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| 193 |
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"Write Prompt"
|
| 194 |
+
],
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| 195 |
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"metadata": {
|
| 196 |
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"id": "oJSACBLt5_Sj"
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| 197 |
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}
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| 198 |
+
},
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| 199 |
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{
|
| 200 |
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"cell_type": "code",
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| 201 |
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"source": [
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| 202 |
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"prompt = \"3D Mesh Model Head Cat, Rendrer Object Mode, detailed, cute, adorable, 8k\""
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| 203 |
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],
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| 204 |
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"metadata": {
|
| 205 |
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"id": "3ngRjHTY6ISS"
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| 206 |
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},
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| 207 |
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"execution_count": null,
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| 208 |
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"outputs": []
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| 209 |
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},
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| 210 |
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{
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| 211 |
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"cell_type": "markdown",
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| 212 |
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"source": [
|
| 213 |
+
"Pass a prompt and image to the pipeline to generate an image:"
|
| 214 |
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],
|
| 215 |
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"metadata": {
|
| 216 |
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"id": "HBFMaceZ6bp3"
|
| 217 |
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}
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},
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+
{
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| 220 |
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"cell_type": "code",
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"source": [
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"image = pipeline(prompt, image=init_image).images[0]"
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| 223 |
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],
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| 224 |
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"metadata": {
|
| 225 |
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"id": "T1EoPGoR6e0Z"
|
| 226 |
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},
|
| 227 |
+
"execution_count": null,
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| 228 |
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"outputs": []
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| 229 |
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},
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| 230 |
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{
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| 231 |
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"cell_type": "markdown",
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| 232 |
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"source": [
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| 233 |
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"Display the image (optional)"
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| 234 |
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],
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| 235 |
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"metadata": {
|
| 236 |
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"id": "xqEmoIFD8lsH"
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| 237 |
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}
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| 238 |
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},
|
| 239 |
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{
|
| 240 |
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"cell_type": "code",
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| 241 |
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"source": [
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| 242 |
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"make_image_grid([init_image, image], rows=1, cols=2)"
|
| 243 |
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],
|
| 244 |
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"metadata": {
|
| 245 |
+
"id": "QPwjH7th8rQB"
|
| 246 |
+
},
|
| 247 |
+
"execution_count": null,
|
| 248 |
+
"outputs": []
|
| 249 |
+
}
|
| 250 |
+
]
|
| 251 |
+
}
|