Upload fusion_t2i_CLIP_interrogator.ipynb

Google Colab Jupyter Notebooks/fusion_t2i_CLIP_interrogator.ipynb

@@ -132,7 +132,9 @@
         "log_strength = 1 # @param {type:\"slider\", min:-5, max:5, step:0.01}\n",
         "prompt_strength = math.pow(10 ,log_strength-1)\n",
         "reference = torch.zeros(768)\n",
-        "%cd {home_directory + 'fusion-t2i-generator-data/' + 'reference'}\n",
+        "\n",
+        "\n",
+        "\n",
         "references = torch.load('reference_text_and_image_encodings.pt'  , weights_only=False)\n",
         "reference = torch.add(reference, C * references[index][0].dequantize())\n",
         "reference = torch.add(reference, (1-C) * references[index][1].dequantize())\n",
@@ -214,7 +216,7 @@
         "  for _index in range(list_size):\n",
         "    output = output + prompts[f'{indices[min(_index+start_at_index,NUM_VOCAB_ITEMS-1)].item()}'] + '|'\n",
         "  #---------#\n",
-        "  output = (output + '}').replace('|}' , '}</w>')\n",
+        "  output = (output + '}').replace('|}' , '} ')\n",
         "  for iter in range(N):\n",
         "    print(output)\n",
         "#-------#\n",