Update notebooks to no-code/low-code (#2860)

notebooks/community/model_garden/model_garden_pytorch_stable_diffusion_xl_lora.ipynb

@@ -247,7 +247,7 @@
         "# @markdown * `Civitai`: [Pixel Art XL](https://civitai.com/models/120096/pixel-art-xl). This example downloads LoRA from Civitai, and uploads it to GCS bucket.\n",
         "# @markdown * `Use your own`: Set your own lora in the next section.\n",
         "\n",
-        "PRESET_LORA = \"Civitai\"  # @param [\"Huggingface\", \"Civitai\", \"Use your own\"]\n",
+        "PRESET_LORA = \"Huggingface\"  # @param [\"Huggingface\", \"Civitai\", \"Use your own\"]\n",
         "\n",
         "# @markdown [Optional] If you selected `Use your own`, please set your lora source in `CUSTOM_LORA`. It can be one of the following:\n",
         "# @markdown * A [Hugging Face](https://huggingface.co) lora id\n",
@@ -304,6 +304,11 @@
         "\n",
         "# @markdown Once deployment succeeds, you can send a batch of text prompts to the endpoint to generated images.\n",
         "\n",
+        "# @markdown **Note:** Some LoRA adaptors require explicit prompt to activate. For\n",
+        "# @markdown example, the preset Hugging Face [TheLastBen/Papercut_SDXL](https://huggingface.co/TheLastBen/Papercut_SDXL)\n",
+        "# @markdown Lora requires an explicit prompt `\"papercut\"`. In this example,\n",
+        "# @markdown we'll automatically append the prompt for you.\n",
+        "\n",
         "# @markdown Example:\n",
         "\n",
         "# @markdown ```\n",
@@ -318,6 +323,11 @@
         "num_inference_steps = 25  # @param {type:\"number\"}\n",
         "guidance_scale = 2.5  # @param {type:\"number\"}\n",
         "\n",
+        "if PRESET_LORA == \"Huggingface\" and \"papercut\" not in prompt:\n",
+        "    prompt = \"papercut \" + prompt\n",
+        "    print('Adding \"papercut\" to prompt')\n",
+        "    print(\"prompt:\", prompt)\n",
+        "\n",
         "instances = [\n",
         "    {\n",
         "        \"prompt\": prompt,\n",