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"name": "stdout", + "text": [ + "/content\n", + "/content\n", + "Cloning into 'fusion-t2i-generator-data'...\n", + "remote: Enumerating objects: 55, done.\u001b[K\n", + "remote: Counting objects: 100% (52/52), done.\u001b[K\n", + "remote: Compressing objects: 100% (49/49), done.\u001b[K\n", + "remote: Total 55 (delta 14), reused 0 (delta 0), pack-reused 3 (from 1)\u001b[K\n", + "Unpacking objects: 100% (55/55), 32.76 KiB | 541.00 KiB/s, done.\n", + "Filtering content: 100% (8/8), 2.56 GiB | 30.07 MiB/s, done.\n", + "/content/fusion-t2i-generator-data\n", + "Archive: vocab.zip\n", + " inflating: vocab/prompts.json \n", + " inflating: vocab/vocab_encodings.pt \n", + "Archive: reference.zip\n", + " inflating: reference/reference_prompts.json \n", + " inflating: reference/reference_text_and_image_encodings.pt \n", + " inflating: reference/reference_urls.json \n", + "/content/fusion-t2i-generator-data/vocab\n", + "/content/fusion-t2i-generator-data/reference\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "tokenizer_config.json: 0%| | 0.00/905 [00:00=10:break\n", + " #------#\n", + "\n", + " return 1\n", "#----------#\n", "\n", - "ref = torch.rand(DIM)\n", + "\n", + "\n", + "inputs = tokenizer(text = _ref.strip(), truncation = True , padding=True, return_tensors=\"pt\")\n", + "ref = model.get_text_features(**inputs)[0]\n", + "\n", "ref = (1/SCALE) * ref/ref.norm(p=2, dim=-1, keepdim=True)\n", "ref = torch.round(ref).to(dtype=torch.uint8)\n", "\n", - "url = '/content/fusion-t2i-generator-data/lyrics_vocab_q0043_41905.safetensors'\n", - "test = get_most_similiar_items_to(ref , url , LIST_SIZE)\n", + "url = '/content/fusion-t2i-generator-data/civitai_vocab_q0043_203663.safetensors'\n", "\n", - "index = 0\n", - "for key in test:\n", - " print(key)\n", - " index = index + 1\n", - " if index>=10:break\n", - "#-----#" + "vocab = load_file(url)\n", + "\n", + "\n", + "#get_most_similiar_items_to(ref , url , LIST_SIZE)" ], "metadata": { "id": "PGyLzCmYqCPg" }, - "execution_count": null, + "execution_count": 14, "outputs": [] } ]