Upload sd_token_similarity_calculator.ipynb
Browse files- sd_token_similarity_calculator.ipynb +163 -67
sd_token_similarity_calculator.ipynb
CHANGED
@@ -122,40 +122,21 @@
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"!git clone https://huggingface.co/datasets/codeShare/text-to-image-prompts\n"
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],
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"metadata": {
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"id": "rUXQ73IbonHY"
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"outputId": "9e40d8a1-fbb3-4200-fc80-3d6f32d3667a",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"execution_count":
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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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"/content\n",
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"Cloning into 'text-to-image-prompts'...\n",
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"remote: Enumerating objects: 450, done.\u001b[K\n",
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"remote: Counting objects: 100% (447/447), done.\u001b[K\n",
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"remote: Compressing objects: 100% (428/428), done.\u001b[K\n",
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"remote: Total 450 (delta 81), reused 0 (delta 0), pack-reused 3 (from 1)\u001b[K\n",
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"Receiving objects: 100% (450/450), 998.98 KiB | 3.92 MiB/s, done.\n",
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"Resolving deltas: 100% (81/81), done.\n",
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"Filtering content: 100% (95/95), 305.98 MiB | 41.88 MiB/s, done.\n"
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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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"# @title β³οΈ Select items for the vocab\n",
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"\n",
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"prompt_features =
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"civitai_blue_set = True # @param {\"type\":\"boolean\",\"placeholder\":\"π\"}\n",
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"suffix = True # @param {\"type\":\"boolean\",\"placeholder\":\"πΉ\"}\n",
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"prefix = False # @param {\"type\":\"boolean\",\"placeholder\":\"πΈ\"}\n",
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"debug = False\n",
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"\n",
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"#------#\n",
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" print(text_encodings[f'{nA}'])\n",
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"#--------#\n",
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"\n",
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"if civitai_blue_set:\n",
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" url = '/content/text-to-image-prompts/civitai-prompts/blue'\n",
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" prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '')\n",
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],
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"metadata": {
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"id": "ZMG4CThUAmwW",
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"outputId": "
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"execution_count":
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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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"reading π§Ώπ fusion-t2i-civitai-0-20-chars-mix-2.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/blue/text\n",
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"/content/text-to-image-prompts/civitai-prompts/blue/text_encodings\n",
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@@ -391,7 +487,7 @@
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"metadata": {
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"id": "xc-PbIYF428y"
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},
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"execution_count":
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"outputs": []
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},
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{
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],
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"metadata": {
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"id": "_vnVbxcFf7WV",
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"outputId": "
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"execution_count":
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"{Sports Car|\n",
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"beautiful car|\n",
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"road nature|\n",
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"running road|\n",
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"sport car petite|\n",
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"it's a gas gas|\n",
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"The Road Not Taken|\n",
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"road Horizon|\n",
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"far away|\n",
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"speed</w>|\n",
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"roadtrip</w>|\n",
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"on a race track|\n",
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"road construction|\n",
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"with a soft|\n",
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"a picture|\n",
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"faster</w>|\n",
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"Fantastic|\n",
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"loving|\n",
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"road architecture|\n",
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"day scenery|\n",
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"wonderful|\n",
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"head back|\n",
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"photographic style|\n",
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"alright</w>|\n",
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"thats</w>|\n",
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"awesome inspiring|\n",
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"seems</w>|\n",
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"as style|\n",
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"inspired|\n",
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"lovely|\n",
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"well</w>|\n",
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"reminds</w>|\n",
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"beautiful amazing|\n",
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"highway</w>|\n",
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"appears timeless|\n",
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"that</w>|\n",
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"beautiful gorgeous|\n",
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"highway setting|\n",
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"Science fiction|\n",
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"science fiction|\n",
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"speeding</w>|\n",
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"in a mountain land|\n",
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"inspiration|\n",
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"day time|\n",
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"busy highway|\n",
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"really</w>|\n",
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"Phenomenal|\n",
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"girl trembling|\n",
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"beauty|\n",
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"baby|\n",
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"top quality|\n",
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"motorcycle freeway|\n",
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"very beautiful|\n",
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"cute beautiful|\n",
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"beautiful|\n",
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"beautiful|\n",
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"tweeted</w>|\n",
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"street in city|\n",
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"exciting|\n",
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"fire flames|\n",
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"Riding|\n",
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"in first place|\n",
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"a spaceship|\n",
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"automobile</w>|\n",
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"emotional|\n",
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"retweeted</w>|\n",
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"handsome|\n",
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"car</w>|\n",
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"artistic cool|\n",
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"it is Furious|\n",
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"stanning|\n",
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"trembling|\n",
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"cool amazing|\n",
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"smooth|\n",
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"this</w>|\n",
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"countryside|\n",
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"dynamic movement|\n",
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"beautiful elegant|\n",
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"stunning|\n",
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"ethereal fantastic|\n",
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"gorgeous inspired|\n",
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"beautiful hot|\n",
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"street elegant|\n",
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"heres</w>|\n",
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"A stylish|\n",
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"at_day|\n",
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"evocative image|\n",
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"hysterical|\n",
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"dreamlike|\n",
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". cute adorable|\n",
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"Exquisite|\n",
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"gorgeous}\n"
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]
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}
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]
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"height": 1000
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}
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},
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"execution_count":
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"outputs": [
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{
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"output_type": "display_data",
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"metadata": {
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"id": "rebogpoyOG8k"
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},
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"execution_count":
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"outputs": []
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},
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{
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},
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"outputId": "2271de2f-6885-4f72-bcd0-3c39a9cfaada"
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},
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"execution_count":
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"outputs": [
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{
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"output_type": "stream",
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"!git clone https://huggingface.co/datasets/codeShare/text-to-image-prompts\n"
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],
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"metadata": {
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"id": "rUXQ73IbonHY"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"# @title β³οΈ Select items for the vocab\n",
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"\n",
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"prompt_features = True # @param {\"type\":\"boolean\",\"placeholder\":\"π¦\"}\n",
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"civitai_blue_set = True # @param {\"type\":\"boolean\",\"placeholder\":\"π\"}\n",
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"suffix = True # @param {\"type\":\"boolean\",\"placeholder\":\"πΉ\"}\n",
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"prefix = False # @param {\"type\":\"boolean\",\"placeholder\":\"πΈ\"}\n",
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"emojis = True # @param {\"type\":\"boolean\",\"placeholder\":\"π\"}\n",
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"debug = False\n",
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"\n",
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"#------#\n",
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" print(text_encodings[f'{nA}'])\n",
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"#--------#\n",
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"\n",
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"\n",
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"if emojis:\n",
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" url = '/content/text-to-image-prompts/tokens/emoji'\n",
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" prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '')\n",
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" if debug:\n",
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" print(prompts[f'{nA}'])\n",
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" print(text_encodings[f'{nA}'])\n",
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"#--------#\n",
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"\n",
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"\n",
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"if civitai_blue_set:\n",
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" url = '/content/text-to-image-prompts/civitai-prompts/blue'\n",
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" prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '')\n",
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],
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"metadata": {
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"id": "ZMG4CThUAmwW",
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"outputId": "029abb8c-ccb0-40af-b87c-df6e61d7548a",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"execution_count": 5,
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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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"reading π¦ fusion-t2i-prompt-features-23.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-9.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-4.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-2.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-25.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-6.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-19.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-33.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-18.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-22.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-31.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-3.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-8.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-7.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-13.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-34.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-14.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-12.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-17.json....\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text\n",
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"/content/text-to-image-prompts/civitai-prompts/green/text_encodings\n",
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"reading π¦ fusion-t2i-prompt-features-21.json....\n",
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"{Sports Car|\n",
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"The Road Not Taken|\n",
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"Phenomenal|\n",
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"execution_count": null,
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{
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"metadata": {
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"id": "rebogpoyOG8k"
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"execution_count": null,
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"output_type": "stream",
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