rename diffusers_text_to_image_dreambooth_finetuning_pipeline to diff…

…users_text_to_image_dreambooth_pipeline (#3153)

sdk/python/foundation-models/system/finetune/text-to-image/diffusers-dreambooth-dog-text-to-image.ipynb

@@ -8,7 +8,7 @@
     "\n",
     "DreamBooth is a method for personalizing text-to-image models. It fine-tunes these models using 5-10 images of a specific subject, allowing them to generate personalized images based on textual prompts.\n",
     "\n",
-    "This sample shows how to use `diffusers_text_to_image_dreambooth_finetuning_pipeline` component from the `azureml` system registry to fine tune a model for text to image task using dog Dataset. We then deploy the fine tuned model to an online endpoint for real time inference.\n",
+    "This sample shows how to use `diffusers_text_to_image_dreambooth_pipeline` component from the `azureml` system registry to fine tune a model for text to image task using dog Dataset. We then deploy the fine tuned model to an online endpoint for real time inference.\n",
     "\n",
     "### Training data\n",
     "We will use the [dog-example](https://huggingface.co/datasets/diffusers/dog-example) dataset.\n",
@@ -260,9 +260,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### 5. Submit the fine tuning job using `diffusers_text_to_image_dreambooth_finetuning_pipeline` component\n",
+    "### 5. Submit the fine tuning job using `diffusers_text_to_image_dreambooth_pipeline` component\n",
     " \n",
-    "Create the job that uses the `diffusers_text_to_image_dreambooth_finetuning_pipeline` component for `stable-diffusion-text-to-image` task. Learn more in 5.2 about all the parameters supported for fine tuning."
+    "Create the job that uses the `diffusers_text_to_image_dreambooth_pipeline` component for `stable-diffusion-text-to-image` task. Learn more in 5.2 about all the parameters supported for fine tuning."
    ]
   },
   {
@@ -278,7 +278,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "FINETUNE_PIPELINE_COMPONENT_NAME = \"diffusers_text_to_image_dreambooth_finetuning_pipeline\"\n",
+    "FINETUNE_PIPELINE_COMPONENT_NAME = \"diffusers_text_to_image_dreambooth_pipeline\"\n",
     "\n",
     "pipeline_component_transformers_func = registry_ml_client.components.get(\n",
     "    name=FINETUNE_PIPELINE_COMPONENT_NAME, label=\"latest\"\n",
@@ -289,9 +289,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### 5.2 Create arguments to be passed to `diffusers_text_to_image_dreambooth_finetuning_pipeline` component\n",
+    "#### 5.2 Create arguments to be passed to `diffusers_text_to_image_dreambooth_pipeline` component\n",
     "\n",
-    "The `diffusers_text_to_image_dreambooth_finetuning_pipeline` component consists of model selection and finetuning components.\n",
+    "The `diffusers_text_to_image_dreambooth_pipeline` component consists of model selection and finetuning components.\n",
     "\n",
     "*Uncomment one or more parameters below to provide specific values, if you wish you override the autoselected default values. Please visit this pipeline component in Azure ML studio to know more about arguments and their allowed values.*"
    ]
@@ -397,7 +397,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### 5.3 Utility function to create pipeline using `transformers_text_to_image_dreambooth_finetuning_pipeline` component"
+    "#### 5.3 Utility function to create pipeline using `diffusers_text_to_image_dreambooth_pipeline` component"
    ]
   },
   {