Upload sd_token_similarity_calculator.ipynb
Browse files- sd_token_similarity_calculator.ipynb +153 -51
sd_token_similarity_calculator.ipynb
CHANGED
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@@ -122,41 +122,30 @@
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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": "5ce85c43-136a-49b5-f316-a74e70085e88",
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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: 521, done.\u001b[K\n",
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"remote: Counting objects: 100% (518/518), done.\u001b[K\n",
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"remote: Compressing objects: 100% (492/492), done.\u001b[K\n",
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"remote: Total 521 (delta 91), reused 0 (delta 0), pack-reused 3 (from 1)\u001b[K\n",
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"Receiving objects: 100% (521/521), 2.51 MiB | 6.14 MiB/s, done.\n",
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"Resolving deltas: 100% (91/91), done.\n",
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"Filtering content: 100% (95/95), 305.98 MiB | 37.71 MiB/s, done.\n"
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]
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}
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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 โณ๏ธ Select items for the vocab\n",
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"\n",
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"prompt_features =
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"civitai_blue_set =
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"suffix =
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"prefix = False # @param {\"type\":\"boolean\",\"placeholder\":\"๐ธ\"}\n",
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"emojis = True # @param {\"type\":\"boolean\",\"placeholder\":\"๐\"}\n",
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"debug = False\n",
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"\n",
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"#------#\n",
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@@ -165,30 +154,38 @@
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"nA = 0\n",
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"#--------#\n",
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"\n",
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"if prompt_features:\n",
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" url = '/content/text-to-image-prompts/civitai-prompts/green'\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 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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" 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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"if suffix :\n",
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@@ -196,9 +193,6 @@
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" for item in ['common','average','rare','weird','exotic'] :\n",
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" url = tmp + item\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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"if prefix :\n",
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" for item in ['common','average','rare','weird','exotic'] :\n",
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" url = tmp + item\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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"if debug:\n",
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"cell_type": "code",
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"source": [
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"# @title ๐ Get Prompt text_encoding similarity to the pre-calc. text_encodings\n",
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"prompt = \"
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"\n",
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"from transformers import AutoTokenizer\n",
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"tokenizer = AutoTokenizer.from_pretrained(\"openai/clip-vit-large-patch14\", clean_up_tokenization_spaces = False)\n",
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@@ -259,7 +250,7 @@
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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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@@ -368,13 +359,13 @@
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],
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"metadata": {
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"id": "ke6mZ1RZDOeB",
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"outputId": "
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"colab": {
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"base_uri": "https://localhost:8080/",
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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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@@ -418,7 +409,7 @@
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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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"source": [
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"# @title ๐ผ๏ธ Print the results\n",
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"list_size = 100 # @param {type:'number'}\n",
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"start_at_index =
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"print_Similarity = True # @param {type:\"boolean\"}\n",
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"print_Prompts = True # @param {type:\"boolean\"}\n",
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"print_Prefix = True # @param {type:\"boolean\"}\n",
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"#-------#"
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],
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"metadata": {
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"id": "JkzncP8SgKtS"
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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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"cell_type": "code",
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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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"!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 โณ๏ธ Select items for the vocab\n",
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"\n",
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"prompt_features = False # @param {\"type\":\"boolean\",\"placeholder\":\"๐ฆ\"}\n",
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"civitai_blue_set = False # @param {\"type\":\"boolean\",\"placeholder\":\"๐\"}\n",
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"suffix = False # @param {\"type\":\"boolean\",\"placeholder\":\"๐น\"}\n",
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"prefix = False # @param {\"type\":\"boolean\",\"placeholder\":\"๐ธ\"}\n",
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"emojis = True # @param {\"type\":\"boolean\",\"placeholder\":\"๐\"}\n",
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"#------#\n",
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"\n",
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"#These are borked\n",
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"celebs = False # param {\"type\":\"boolean\",\"placeholder\":\"๐๐จ\"}\n",
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"celebs_young = False # param {\"type\":\"boolean\",\"placeholder\":\"๐ธ\"}\n",
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"#-------#\n",
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"\n",
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"#-----#\n",
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"female_fullnames = True # @param {\"type\":\"boolean\",\"placeholder\":\"๐\"}\n",
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"debug = False\n",
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"\n",
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"#------#\n",
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"nA = 0\n",
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"#--------#\n",
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"\n",
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"\n",
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"if celebs:\n",
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" url = '/content/text-to-image-prompts/names/celebs/mixed'\n",
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" prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '')\n",
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"#--------#\n",
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"\n",
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"if celebs_young :\n",
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" url = '/content/text-to-image-prompts/names/celebs/young'\n",
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" prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '')\n",
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"#--------#\n",
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"\n",
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"if female_fullnames:\n",
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" url = '/content/text-to-image-prompts/names/fullnames'\n",
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" prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '')\n",
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"#--------#\n",
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"\n",
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"\n",
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"if prompt_features:\n",
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" url = '/content/text-to-image-prompts/civitai-prompts/green'\n",
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" prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '')\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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"#--------#\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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"#--------#\n",
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"\n",
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"if suffix :\n",
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" for item in ['common','average','rare','weird','exotic'] :\n",
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" url = tmp + item\n",
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" prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '')\n",
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"#------#\n",
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"\n",
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"if prefix :\n",
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" for item in ['common','average','rare','weird','exotic'] :\n",
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" url = tmp + item\n",
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" prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '-')\n",
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"#------#\n",
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"\n",
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"if debug:\n",
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"cell_type": "code",
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"source": [
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"# @title ๐ Get Prompt text_encoding similarity to the pre-calc. text_encodings\n",
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"prompt = \"Beyonce and Lady Gaga\" # @param {\"type\":\"string\",\"placeholder\":\"Write a prompt\"}\n",
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"\n",
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"from transformers import AutoTokenizer\n",
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"tokenizer = AutoTokenizer.from_pretrained(\"openai/clip-vit-large-patch14\", clean_up_tokenization_spaces = False)\n",
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"metadata": {
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"id": "xc-PbIYF428y"
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},
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"execution_count": 9,
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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": "ke6mZ1RZDOeB",
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+
"outputId": "4e2c2845-a26f-4966-b560-51b2bd059192",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 1000
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}
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},
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+
"execution_count": 11,
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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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| 410 |
"id": "rebogpoyOG8k"
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},
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+
"execution_count": 12,
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"outputs": []
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},
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{
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"source": [
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| 418 |
"# @title ๐ผ๏ธ Print the results\n",
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| 419 |
"list_size = 100 # @param {type:'number'}\n",
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| 420 |
+
"start_at_index = 0 # @param {type:'number'}\n",
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| 421 |
"print_Similarity = True # @param {type:\"boolean\"}\n",
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"print_Prompts = True # @param {type:\"boolean\"}\n",
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"print_Prefix = True # @param {type:\"boolean\"}\n",
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"#-------#"
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],
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| 459 |
"metadata": {
|
| 460 |
+
"id": "JkzncP8SgKtS",
|
| 461 |
+
"outputId": "16a3365b-1ae4-4ce3-b4aa-9f3a03e87735",
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| 462 |
+
"colab": {
|
| 463 |
+
"base_uri": "https://localhost:8080/"
|
| 464 |
+
}
|
| 465 |
},
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| 466 |
+
"execution_count": 13,
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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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"{Tabytha Christion |\n",
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"Neera Stimpert |\n",
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"Eris Ororke |\n",
|
| 475 |
+
"Meelah Onan |\n",
|
| 476 |
+
"Khalia Okins |\n",
|
| 477 |
+
"Niajah Olshan |\n",
|
| 478 |
+
"Aariel Gutterman |\n",
|
| 479 |
+
"Indyia Orsborn |\n",
|
| 480 |
+
"Mairin Elfstrom |\n",
|
| 481 |
+
"Iliani Roshan |\n",
|
| 482 |
+
"Sapphire Bargstadt |\n",
|
| 483 |
+
"Maelin Kiel |\n",
|
| 484 |
+
"Janeah Easterwood |\n",
|
| 485 |
+
"Eris Kindelan |\n",
|
| 486 |
+
"Zanari Guillette |\n",
|
| 487 |
+
"Kree Chotibai |\n",
|
| 488 |
+
"Khaia Dutter |\n",
|
| 489 |
+
"Millennia Ekman |\n",
|
| 490 |
+
"Saphirah Kess |\n",
|
| 491 |
+
"Kahlan Romanczuk |\n",
|
| 492 |
+
"Jaza Rowton |\n",
|
| 493 |
+
"Niara Bargneare |\n",
|
| 494 |
+
"Janiaya Gudgel |\n",
|
| 495 |
+
"Antigone Kiddle |\n",
|
| 496 |
+
"Sariana Dyreson |\n",
|
| 497 |
+
"Sigourney Mamula |\n",
|
| 498 |
+
"Starlett Guill |\n",
|
| 499 |
+
"Yordanos Oien |\n",
|
| 500 |
+
"Halia Charadan |\n",
|
| 501 |
+
"Nephtalie Olsby |\n",
|
| 502 |
+
"Cortana Bartle |\n",
|
| 503 |
+
"Jaeda Echof |\n",
|
| 504 |
+
"Esthela Khalsa |\n",
|
| 505 |
+
"Varya Stimits |\n",
|
| 506 |
+
"Amaurie Romanok |\n",
|
| 507 |
+
"Saran Startz |\n",
|
| 508 |
+
"Xitlali Killian |\n",
|
| 509 |
+
"Karma Marchildon |\n",
|
| 510 |
+
"Liberti Olivars |\n",
|
| 511 |
+
"Aleen Rotch |\n",
|
| 512 |
+
"Ryenn Stanaland |\n",
|
| 513 |
+
"Jarae Grun |\n",
|
| 514 |
+
"Daja Orsburn |\n",
|
| 515 |
+
"Sariana Gwyn |\n",
|
| 516 |
+
"Roxann Gyllensten |\n",
|
| 517 |
+
"Yerania Stivason |\n",
|
| 518 |
+
"Karmyn Oroark |\n",
|
| 519 |
+
"Kaiulani Gulreg |\n",
|
| 520 |
+
"Clary Barbre |\n",
|
| 521 |
+
"Zamiya Guardarrama |\n",
|
| 522 |
+
"Aquila Roloson |\n",
|
| 523 |
+
"Jashara Kernan |\n",
|
| 524 |
+
"Serenity Barer |\n",
|
| 525 |
+
"Melynna Dygert |\n",
|
| 526 |
+
"Chakira Olvey |\n",
|
| 527 |
+
"Avagrace Rought |\n",
|
| 528 |
+
"Halo Barne |\n",
|
| 529 |
+
"Malori Guljar |\n",
|
| 530 |
+
"Tashai Barvosa |\n",
|
| 531 |
+
"Rani Okeson |\n",
|
| 532 |
+
"Ariadne Barias |\n",
|
| 533 |
+
"Zoraida Romanoff |\n",
|
| 534 |
+
"Loghan Orozeo |\n",
|
| 535 |
+
"Zurii Kesler |\n",
|
| 536 |
+
"Aseret Battani |\n",
|
| 537 |
+
"Genesi Elion |\n",
|
| 538 |
+
"Rin Stirna |\n",
|
| 539 |
+
"Kitara Gutshall |\n",
|
| 540 |
+
"Xiamara Omo |\n",
|
| 541 |
+
"Zamiya Barbur |\n",
|
| 542 |
+
"Diem Guerrera |\n",
|
| 543 |
+
"Janecia Choma |\n",
|
| 544 |
+
"Rain Eddens |\n",
|
| 545 |
+
"Neela Barella |\n",
|
| 546 |
+
"Zhane Gulfan |\n",
|
| 547 |
+
"Aeva Omeara |\n",
|
| 548 |
+
"Krosby Barbour |\n",
|
| 549 |
+
"Lilith Chitu |\n",
|
| 550 |
+
"Zerah Rogg |\n",
|
| 551 |
+
"Venus Roupe |\n",
|
| 552 |
+
"Nuriya Ogg |\n",
|
| 553 |
+
"Natallie Marabella |\n",
|
| 554 |
+
"Amyrah Elfrink |\n",
|
| 555 |
+
"Hailynn Gulnaz |\n",
|
| 556 |
+
"Zaniah Orrick |\n",
|
| 557 |
+
"Naia Gunanidhi |\n",
|
| 558 |
+
"Tanayjah Barryman |\n",
|
| 559 |
+
"Noomi Stavrides |\n",
|
| 560 |
+
"Lanesha Groot |\n",
|
| 561 |
+
"Daniah Stokan |\n",
|
| 562 |
+
"Avaeh Chanchuan |\n",
|
| 563 |
+
"Miaya Groote |\n",
|
| 564 |
+
"Kora Chebahtah |\n",
|
| 565 |
+
"Jessabelle Rosenhagen |\n",
|
| 566 |
+
"Zyrah Guley |\n",
|
| 567 |
+
"Eliette Guardipee |\n",
|
| 568 |
+
"Myha Charleton |\n",
|
| 569 |
+
"Ishitha Steckelberg |\n",
|
| 570 |
+
"Ayrionna Rothfuss |\n",
|
| 571 |
+
"Honor Olan }\n"
|
| 572 |
+
]
|
| 573 |
+
}
|
| 574 |
+
]
|
| 575 |
},
|
| 576 |
{
|
| 577 |
"cell_type": "code",
|
|
|
|
| 1448 |
"base_uri": "https://localhost:8080/"
|
| 1449 |
}
|
| 1450 |
},
|
| 1451 |
+
"execution_count": null,
|
| 1452 |
"outputs": [
|
| 1453 |
{
|
| 1454 |
"output_type": "stream",
|