Upload sd_token_similarity_calculator.ipynb
Browse files- sd_token_similarity_calculator.ipynb +555 -130
sd_token_similarity_calculator.ipynb
CHANGED
@@ -30,7 +30,7 @@
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"source": [
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"# @title ✳️ Load/initialize values\n",
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"#Imports\n",
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"from safetensors.torch import load_file\n",
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"import json , os , shelve , torch\n",
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"import pandas as pd\n",
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" id = id-id_max\n",
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" return id\n",
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"\n",
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"def getPrompts(_path):\n",
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" path = _path + '/text'\n",
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" path_enc = _path + '/text_encodings'\n",
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" #-----#\n",
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@@ -75,6 +75,7 @@
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" #Read the 'header' file in the JSON\n",
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" if _index <= 0 :\n",
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" _NUM_ITEMS = int(value)\n",
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" index = index + 1\n",
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" continue\n",
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" if _index <= 1 :\n",
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" text_encodings[f'{index-1}'] = _text_encodings[f'{_index-1}']\n",
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" text_encodings[f'{index}'] = _text_encodings[f'{_index}']\n",
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" #------#\n",
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" index = index + 1\n",
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" continue\n",
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" #------#\n",
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" #Read the text_encodings + prompts\n",
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" text_encodings[f'{index}'] = _text_encodings[f'{_index}']\n",
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" prompts[f'{index}'] = _prompts[f'{_index}']\n",
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" index = index + 1\n",
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" continue\n",
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" #-------#\n",
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@@ -98,41 +100,354 @@
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" #_text_encodings.close() #close the text_encodings file\n",
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" file_index = file_index + 1\n",
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" #----------#\n",
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" NUM_ITEMS = index\n",
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" return prompts , text_encodings , NUM_ITEMS\n",
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"\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":
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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
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"\n",
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"%cd /content/\n",
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"!git clone https://huggingface.co/datasets/codeShare/text-to-image-prompts\n",
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"#------#\n",
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"path = '/content/text-to-image-prompts/civitai-prompts/green'\n",
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"prompts , text_encodings, NUM_VOCAB_ITEMS = getPrompts(path)\n",
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"\n",
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],
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"metadata": {
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"id": "ZMG4CThUAmwW"
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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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"\n",
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"sims = torch.zeros(NUM_VOCAB_ITEMS)\n",
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"for index in range(NUM_VOCAB_ITEMS):\n",
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" text_features = text_encodings[f'{index}']\n",
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" sims[index] = torch.nn.functional.cosine_similarity(text_features, text_features_A)\n",
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"#------#\n",
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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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"# title Show the 100 most similiar suffix and prefix text-encodings to the text encoding\n",
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"RANGE = list_size\n",
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"separator = '|'\n",
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"if append_Whitespace : separator = ' ' + separator\n",
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"if newline_Separator : separator = separator + '\\n'\n",
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"\n",
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"_prompts = '{'\n",
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"#-------#"
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],
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"metadata": {
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"id": "_vnVbxcFf7WV"
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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": "markdown",
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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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"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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"# title Show the 100 most similiar suffix and prefix text-encodings to the text encoding\n",
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"RANGE = list_size\n",
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"separator = '|'\n",
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"if append_Whitespace : separator = ' ' + separator\n",
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"if newline_Separator : separator = separator + '\\n'\n",
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"\n",
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"_prompts = '{'\n",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "
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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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]
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"source": [
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"# @title ✳️ Load/initialize values\n",
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"#Imports\n",
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+
"#!pip install safetensors\n",
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"from safetensors.torch import load_file\n",
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"import json , os , shelve , torch\n",
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"import pandas as pd\n",
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" id = id-id_max\n",
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" return id\n",
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"\n",
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"def getPrompts(_path, separator):\n",
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" path = _path + '/text'\n",
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" path_enc = _path + '/text_encodings'\n",
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" #-----#\n",
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" #Read the 'header' file in the JSON\n",
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" if _index <= 0 :\n",
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" _NUM_ITEMS = int(value)\n",
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+
" prompts[f'{index}'] = _prompts[f'{_index}'] + separator\n",
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" index = index + 1\n",
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" continue\n",
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" if _index <= 1 :\n",
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" text_encodings[f'{index-1}'] = _text_encodings[f'{_index-1}']\n",
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" text_encodings[f'{index}'] = _text_encodings[f'{_index}']\n",
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" #------#\n",
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" prompts[f'{index}'] = _prompts[f'{_index}'] + separator\n",
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" index = index + 1\n",
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" continue\n",
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" #------#\n",
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" #Read the text_encodings + prompts\n",
|
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" text_encodings[f'{index}'] = _text_encodings[f'{_index}']\n",
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+
" prompts[f'{index}'] = _prompts[f'{_index}'] + separator\n",
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" index = index + 1\n",
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" continue\n",
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" #-------#\n",
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" #_text_encodings.close() #close the text_encodings file\n",
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" file_index = file_index + 1\n",
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" #----------#\n",
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" NUM_ITEMS = index -1\n",
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" return prompts , text_encodings , NUM_ITEMS\n",
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"#--------#\n",
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"\n",
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+
"def append_from_url(dictA, tensA , nA , url , separator):\n",
|
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+
" dictB , tensB, nB = getPrompts(url, separator)\n",
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" dictAB = dictA\n",
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" tensAB = tensA\n",
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" nAB = nA\n",
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" for key in dictB:\n",
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" nAB = nAB + 1\n",
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" dictAB[f'{nA + int(key)}'] = dictB[key]\n",
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" tensAB[f'{nA + int(key)}'] = tensB[key]\n",
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" #-----#\n",
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" return dictAB, tensAB , nAB-1\n",
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"#-------#\n"
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],
|
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"metadata": {
|
121 |
"id": "rUXQ73IbonHY"
|
122 |
},
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+
"execution_count": 54,
|
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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 ✳️ Select items for the vocab\n",
|
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+
"prompt_features = True # @param {\"type\":\"boolean\",\"placeholder\":\"🦜\"}\n",
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131 |
+
"suffix = True # @param {\"type\":\"boolean\",\"placeholder\":\"🔹\"}\n",
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132 |
+
"prefix = True # @param {\"type\":\"boolean\",\"placeholder\":\"🔸\"}\n",
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133 |
+
"debug = False\n",
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"\n",
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135 |
+
"#🔸🔹\n",
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136 |
"%cd /content/\n",
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137 |
"!git clone https://huggingface.co/datasets/codeShare/text-to-image-prompts\n",
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+
"\n",
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+
"#------#\n",
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+
"prompts = {}\n",
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+
"text_encodings = {}\n",
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+
"nA = 0\n",
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143 |
+
"#--------#\n",
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+
"\n",
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145 |
+
"if prompt_features:\n",
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146 |
+
" url = '/content/text-to-image-prompts/civitai-prompts/green'\n",
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147 |
+
" prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '')\n",
|
148 |
+
" if debug:\n",
|
149 |
+
" print(prompts[f'{nA}'])\n",
|
150 |
+
" print(text_encodings[f'{nA}'])\n",
|
151 |
+
"#--------#\n",
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+
"\n",
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153 |
+
"if suffix :\n",
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154 |
+
" tmp = '/content/text-to-image-prompts/tokens/suffix/'\n",
|
155 |
+
" for item in ['common','average','rare','weird','exotic'] :\n",
|
156 |
+
" url = tmp + item\n",
|
157 |
+
" prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '')\n",
|
158 |
+
" if debug:\n",
|
159 |
+
" print(prompts[f'{nA}'])\n",
|
160 |
+
" print(text_encodings[f'{nA}'])\n",
|
161 |
+
"#------#\n",
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162 |
+
"\n",
|
163 |
+
"if prefix :\n",
|
164 |
+
" tmp = '/content/text-to-image-prompts/tokens/prefix/'\n",
|
165 |
+
" for item in ['common','average','rare','weird','exotic'] :\n",
|
166 |
+
" url = tmp + item\n",
|
167 |
+
" prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '-')\n",
|
168 |
+
" if debug:\n",
|
169 |
+
" print(prompts[f'{nA}'])\n",
|
170 |
+
" print(text_encodings[f'{nA}'])\n",
|
171 |
"#------#\n",
|
|
|
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"\n",
|
173 |
+
"if debug:\n",
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174 |
+
" index = 0\n",
|
175 |
+
" for key in prompts: index = index + 1\n",
|
176 |
+
" print(index)\n",
|
177 |
+
" index = 0\n",
|
178 |
+
" for key in text_encodings : index = index + 1\n",
|
179 |
+
" print(index)\n",
|
180 |
+
"#------#\n",
|
181 |
+
"\n",
|
182 |
+
"NUM_VOCAB_ITEMS = nA\n"
|
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],
|
184 |
"metadata": {
|
185 |
+
"id": "ZMG4CThUAmwW",
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+
"outputId": "c34b6fcc-e4c5-4fa1-a55b-d8175ccb8f67",
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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": 55,
|
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+
"outputs": [
|
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+
{
|
194 |
+
"output_type": "stream",
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+
"name": "stdout",
|
196 |
+
"text": [
|
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+
"/content\n",
|
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+
"fatal: destination path 'text-to-image-prompts' already exists and is not an empty directory.\n",
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"reading 🦜 fusion-t2i-prompt-features-23.json....\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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470 |
"\n",
|
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"sims = torch.zeros(NUM_VOCAB_ITEMS)\n",
|
472 |
"for index in range(NUM_VOCAB_ITEMS):\n",
|
473 |
+
" if index<2: continue\n",
|
474 |
" text_features = text_encodings[f'{index}']\n",
|
475 |
" sims[index] = torch.nn.functional.cosine_similarity(text_features, text_features_A)\n",
|
476 |
"#------#\n",
|
|
|
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"metadata": {
|
481 |
"id": "xc-PbIYF428y"
|
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},
|
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+
"execution_count": 56,
|
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"outputs": []
|
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},
|
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{
|
|
|
499 |
"# title Show the 100 most similiar suffix and prefix text-encodings to the text encoding\n",
|
500 |
"RANGE = list_size\n",
|
501 |
"separator = '|'\n",
|
|
|
502 |
"if newline_Separator : separator = separator + '\\n'\n",
|
503 |
"\n",
|
504 |
"_prompts = '{'\n",
|
|
|
528 |
"#-------#"
|
529 |
],
|
530 |
"metadata": {
|
531 |
+
"id": "_vnVbxcFf7WV",
|
532 |
+
"outputId": "b9c6a86b-1239-410b-e240-aca1c8301249",
|
533 |
+
"colab": {
|
534 |
+
"base_uri": "https://localhost:8080/"
|
535 |
+
}
|
536 |
},
|
537 |
+
"execution_count": 50,
|
538 |
+
"outputs": [
|
539 |
+
{
|
540 |
+
"output_type": "stream",
|
541 |
+
"name": "stdout",
|
542 |
+
"text": [
|
543 |
+
"{her car behind on the road</w>|\n",
|
544 |
+
"the race car driver sits behind the wheel</w>|\n",
|
545 |
+
"speed-|\n",
|
546 |
+
"driving-|\n",
|
547 |
+
"highway-|\n",
|
548 |
+
"road-|\n",
|
549 |
+
"fast-|\n",
|
550 |
+
"drive-|\n",
|
551 |
+
"racing car in the background</w>|\n",
|
552 |
+
"traffic-|\n",
|
553 |
+
"driver-|\n",
|
554 |
+
"thats-|\n",
|
555 |
+
"roadto-|\n",
|
556 |
+
"slow-|\n",
|
557 |
+
"cause-|\n",
|
558 |
+
"cruise-|\n",
|
559 |
+
"cyber car looking_upscenery</w>|\n",
|
560 |
+
"cyber car looking_upscenery</w>|\n",
|
561 |
+
"travel-|\n",
|
562 |
+
"truck-|\n",
|
563 |
+
"car-|\n",
|
564 |
+
"that-|\n",
|
565 |
+
"destination-|\n",
|
566 |
+
"way-|\n",
|
567 |
+
"a beautiful</w>|\n",
|
568 |
+
"a beautiful</w>|\n",
|
569 |
+
"just-|\n",
|
570 |
+
"grat-|\n",
|
571 |
+
"rolling-|\n",
|
572 |
+
"simply-|\n",
|
573 |
+
"cruis-|\n",
|
574 |
+
"speed</w>|\n",
|
575 |
+
"something-|\n",
|
576 |
+
"cool-|\n",
|
577 |
+
"roadtrip</w>|\n",
|
578 |
+
"onlyin-|\n",
|
579 |
+
"random-|\n",
|
580 |
+
"because-|\n",
|
581 |
+
"carr-|\n",
|
582 |
+
"shre-|\n",
|
583 |
+
"driving</w>|\n",
|
584 |
+
"funny-|\n",
|
585 |
+
"street-|\n",
|
586 |
+
"dding-|\n",
|
587 |
+
"aand-|\n",
|
588 |
+
"ontheroad</w>|\n",
|
589 |
+
"classic-|\n",
|
590 |
+
"beauti-|\n",
|
591 |
+
"quick-|\n",
|
592 |
+
"reall-|\n",
|
593 |
+
"wast-|\n",
|
594 |
+
"wait-|\n",
|
595 |
+
"on the crowded streets</w>|\n",
|
596 |
+
"haun-|\n",
|
597 |
+
"epic-|\n",
|
598 |
+
"lest-|\n",
|
599 |
+
"faster</w>|\n",
|
600 |
+
"stoo-|\n",
|
601 |
+
"quality-|\n",
|
602 |
+
"fantastic-|\n",
|
603 |
+
"seem-|\n",
|
604 |
+
"love-|\n",
|
605 |
+
"yeah-|\n",
|
606 |
+
"well-|\n",
|
607 |
+
"moving-|\n",
|
608 |
+
"nice-|\n",
|
609 |
+
"late-|\n",
|
610 |
+
"camer-|\n",
|
611 |
+
"sure-|\n",
|
612 |
+
"only-|\n",
|
613 |
+
"chasing-|\n",
|
614 |
+
"loving-|\n",
|
615 |
+
"the image should have</w>|\n",
|
616 |
+
"best-|\n",
|
617 |
+
"reali-|\n",
|
618 |
+
"takes off down the track</w>|\n",
|
619 |
+
"and you can't help but feel</w>|\n",
|
620 |
+
"dazz-|\n",
|
621 |
+
"followthe-|\n",
|
622 |
+
"awesome-|\n",
|
623 |
+
"words-|\n",
|
624 |
+
"lifein-|\n",
|
625 |
+
"eng-|\n",
|
626 |
+
"herit-|\n",
|
627 |
+
"oneof-|\n",
|
628 |
+
"but now seems to exude</w>|\n",
|
629 |
+
"then-|\n",
|
630 |
+
"beast-|\n",
|
631 |
+
"thisis-|\n",
|
632 |
+
"goodday-|\n",
|
633 |
+
"thisi-|\n",
|
634 |
+
"right-|\n",
|
635 |
+
"is appropriate for the time period</w>|\n",
|
636 |
+
"amazing-|\n",
|
637 |
+
"race-|\n",
|
638 |
+
"madd-|\n",
|
639 |
+
"coming-|\n",
|
640 |
+
"zoom-|\n",
|
641 |
+
"picture-|\n",
|
642 |
+
"ight-}\n"
|
643 |
+
]
|
644 |
+
}
|
645 |
+
]
|
646 |
},
|
647 |
{
|
648 |
"cell_type": "markdown",
|
|
|
700 |
],
|
701 |
"metadata": {
|
702 |
"id": "ke6mZ1RZDOeB",
|
703 |
+
"outputId": "53b9280f-b8ba-4036-c720-e679bd0a162c",
|
704 |
"colab": {
|
705 |
"base_uri": "https://localhost:8080/",
|
706 |
"height": 1000
|
707 |
}
|
708 |
},
|
709 |
+
"execution_count": 51,
|
710 |
"outputs": [
|
711 |
{
|
712 |
"output_type": "display_data",
|
|
|
750 |
"metadata": {
|
751 |
"id": "rebogpoyOG8k"
|
752 |
},
|
753 |
+
"execution_count": 52,
|
754 |
"outputs": []
|
755 |
},
|
756 |
{
|
|
|
769 |
"# title Show the 100 most similiar suffix and prefix text-encodings to the text encoding\n",
|
770 |
"RANGE = list_size\n",
|
771 |
"separator = '|'\n",
|
|
|
772 |
"if newline_Separator : separator = separator + '\\n'\n",
|
773 |
"\n",
|
774 |
"_prompts = '{'\n",
|
|
|
802 |
"colab": {
|
803 |
"base_uri": "https://localhost:8080/"
|
804 |
},
|
805 |
+
"outputId": "68e866ad-9cc7-43f6-ad67-d72c28fa0b46"
|
806 |
},
|
807 |
+
"execution_count": 53,
|
808 |
"outputs": [
|
809 |
{
|
810 |
"output_type": "stream",
|
811 |
"name": "stdout",
|
812 |
"text": [
|
813 |
+
"{beautiful avatar pictures</w>|\n",
|
814 |
+
"purple hair crowned standing in storm background</w>|\n",
|
815 |
+
"warcraft</w>|\n",
|
816 |
+
"beautiful celebrity futuristic sci-fi</w>|\n",
|
817 |
+
"by magali villeneuve</w>|\n",
|
818 |
+
"visually striking spectacle inspired by the works</w>|\n",
|
819 |
+
"visually striking spectacle inspired by the works</w>|\n",
|
820 |
+
"a beautiful female warrior</w>|\n",
|
821 |
+
"a sexy scifi warrior</w>|\n",
|
822 |
+
"a sexy scifi warrior</w>|\n",
|
823 |
+
"film still from halo live action adaptation</w>|\n",
|
824 |
+
"cinematic film still from captain marvel</w>|\n",
|
825 |
+
"beautiful female warrior</w>|\n",
|
826 |
+
"beautiful female warrior</w>|\n",
|
827 |
+
"film still from halo live-action movie adaptation</w>|\n",
|
828 |
+
"outlandish costume design</w>|\n",
|
829 |
+
"defend-|\n",
|
830 |
+
"beautiful indian warrior queen</w>|\n",
|
831 |
+
"genie</w>|\n",
|
832 |
+
"of female space soldier</w>|\n",
|
833 |
+
"vfx</w>|\n",
|
834 |
+
"blue light on her face she appears calm</w>|\n",
|
835 |
+
"a female scifi warrior</w>|\n",
|
836 |
+
"a female scifi warrior</w>|\n",
|
837 |
+
"orian</w>|\n",
|
838 |
+
"nebula in her streak hair</w>|\n",
|
839 |
+
"wall-|\n",
|
840 |
+
"of brown skinned indian warrior queen</w>|\n",
|
841 |
+
"played by young dove cameron</w>|\n",
|
842 |
+
"thora</w>|\n",
|
843 |
+
"has runes on her body</w>|\n",
|
844 |
+
"has runes on her body</w>|\n",
|
845 |
+
"beautiful light makeup female sorceress</w>|\n",
|
846 |
+
"a gorgeous female void thrall</w>|\n",
|
847 |
+
"a gorgeous female void thrall</w>|\n",
|
848 |
+
"beautiful female elf queen</w>|\n",
|
849 |
+
"captivating mystique</w>|\n",
|
850 |
+
"captivating mystique</w>|\n",
|
851 |
+
"symbolizing her role as the goddess</w>|\n",
|
852 |
+
"blu-|\n",
|
853 |
+
"character integrated into the background</w>|\n",
|
854 |
+
"swirling black light around the character</w>|\n",
|
855 |
+
"very beautiful jean grey wearing</w>|\n",
|
856 |
+
"lightly blued metal armor</w>|\n",
|
857 |
+
"multiple different characters in the background</w>|\n",
|
858 |
+
"raid</w>|\n",
|
859 |
+
"tributes</w>|\n",
|
860 |
+
"cinematic still from conan</w>|\n",
|
861 |
+
"yo person as dark elf queen</w>|\n",
|
862 |
+
"descendants</w>|\n",
|
863 |
+
"trending at cgsociety</w>|\n",
|
864 |
+
"exodus</w>|\n",
|
865 |
+
"scarlett</w>|\n",
|
866 |
+
"femaleastronaut exalted human futuristic warrior</w>|\n",
|
867 |
+
"femaleastronaut exalted human futuristic warrior</w>|\n",
|
868 |
+
"indigo</w>|\n",
|
869 |
+
"epic fantasy greek priestess</w>|\n",
|
870 |
+
"epic fantasy greek priestess</w>|\n",
|
871 |
+
"female draenei world</w>|\n",
|
872 |
+
"genetically engineered soldiers</w>|\n",
|
873 |
+
"genetically engineered soldiers</w>|\n",
|
874 |
+
"visually striking scene the lighting</w>|\n",
|
875 |
+
"the female soldier marches in formation</w>|\n",
|
876 |
+
"the female soldier marches in formation</w>|\n",
|
877 |
+
"revealing costume design</w>|\n",
|
878 |
+
"pandora_smith_magister</w>|\n",
|
879 |
+
"pandora_smith_magister</w>|\n",
|
880 |
+
"his sorceress in the back ground</w>|\n",
|
881 |
+
"tali</w>|\n",
|
882 |
+
"gorgeous muscular elven ukrainian</w>|\n",
|
883 |
+
"gorgeous muscular elven ukrainian</w>|\n",
|
884 |
+
"womenshistorymonth</w>|\n",
|
885 |
+
"water elemental officer jenny</w>|\n",
|
886 |
+
"ontari-|\n",
|
887 |
+
"bleedblue</w>|\n",
|
888 |
+
"norse female goddess</w>|\n",
|
889 |
+
"matte fantasy painting</w>|\n",
|
890 |
+
"thanos</w>|\n",
|
891 |
+
"periwinkle purple skin</w>|\n",
|
892 |
+
"xmen</w>|\n",
|
893 |
+
"of norse female goddess</w>|\n",
|
894 |
+
"mujer de ojos rojos y pelo azulado</w>|\n",
|
895 |
+
"strength the battle scene around her</w>|\n",
|
896 |
+
"a beautiful young redhead warrior</w>|\n",
|
897 |
+
"a beautiful young redhead warrior</w>|\n",
|
898 |
+
"moody cinematic epic concept art</w>|\n",
|
899 |
+
"hypnotically beautiful wood elf in</w>|\n",
|
900 |
+
"hypnotically beautiful wood elf in</w>|\n",
|
901 |
+
"loraemmawatsonlora_v</w>|\n",
|
902 |
+
"alphonse mucha cinematic epic + rule</w>|\n",
|
903 |
+
"alphonse mucha cinematic epic + rule</w>|\n",
|
904 |
+
"an actress standing behind</w>|\n",
|
905 |
+
"fking_scifi_v amazing</w>|\n",
|
906 |
+
"shine like sapphires</w>|\n",
|
907 |
+
"defence</w>|\n",
|
908 |
+
"female elemental water wizard</w>|\n",
|
909 |
+
"female elemental water wizard</w>|\n",
|
910 |
+
"beautiful character design</w>|\n",
|
911 |
+
"horde</w>|\n",
|
912 |
+
"female warriors protecting an underwater temple</w>}\n"
|
913 |
]
|
914 |
}
|
915 |
]
|