Delete test_model_card.ipynb

test_model_card.ipynb

@@ -1,211 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "code",
-      "source": [
-        "!git clone https://github.com/bamps53/diffusers\n",
-        "%cd diffusers\n",
-        "!git checkout 2b8f0991f46749f22aa1394f19a80275d27d3fb9\n",
-        "!pip install -e \".[dev]\""
-      ],
-      "metadata": {
-        "id": "ZNgWSJQ-BViA",
-        "outputId": "3956d806-fc52-467d-e73f-a09961ed147d",
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        }
-      },
-      "id": "ZNgWSJQ-BViA",
-      "execution_count": 1,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "/content/diffusers\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "!wget https://huggingface.co/sayakpaul/test-model-card-template-dreambooth/resolve/main/image_0.png\n",
-        "!wget https://huggingface.co/sayakpaul/test-model-card-template-dreambooth/resolve/main/image_1.png\n",
-        "!wget https://huggingface.co/sayakpaul/test-model-card-template-dreambooth/resolve/main/image_2.png"
-      ],
-      "metadata": {
-        "id": "pdpDJAul40ZB",
-        "outputId": "d6dbe2fa-c611-48dc-ed28-af4341f0e33e",
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        }
-      },
-      "id": "pdpDJAul40ZB",
-      "execution_count": 8,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "--2024-02-08 13:23:49--  https://huggingface.co/sayakpaul/test-model-card-template-dreambooth/resolve/main/image_1.png\n",
-            "Resolving huggingface.co (huggingface.co)... 18.67.181.126, 18.67.181.36, 18.67.181.124, ...\n",
-            "Connecting to huggingface.co (huggingface.co)|18.67.181.126|:443... connected.\n",
-            "HTTP request sent, awaiting response... 200 OK\n",
-            "Length: 386612 (378K) [image/png]\n",
-            "Saving to: ‘image_1.png’\n",
-            "\n",
-            "image_1.png         100%[===================>] 377.55K   501KB/s    in 0.8s    \n",
-            "\n",
-            "2024-02-08 13:23:50 (501 KB/s) - ‘image_1.png’ saved [386612/386612]\n",
-            "\n",
-            "--2024-02-08 13:23:51--  https://huggingface.co/sayakpaul/test-model-card-template-dreambooth/resolve/main/image_2.png\n",
-            "Resolving huggingface.co (huggingface.co)... 18.67.181.126, 18.67.181.36, 18.67.181.124, ...\n",
-            "Connecting to huggingface.co (huggingface.co)|18.67.181.126|:443... connected.\n",
-            "HTTP request sent, awaiting response... 200 OK\n",
-            "Length: 386612 (378K) [image/png]\n",
-            "Saving to: ‘image_2.png’\n",
-            "\n",
-            "image_2.png         100%[===================>] 377.55K   503KB/s    in 0.8s    \n",
-            "\n",
-            "2024-02-08 13:23:52 (503 KB/s) - ‘image_2.png’ saved [386612/386612]\n",
-            "\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "from diffusers.utils import load_image\n",
-        "from examples.controlnet.train_controlnet import save_model_card\n",
-        "\n",
-        "images = [load_image(f\"image_{i}.png\") for i in range(3)]\n",
-        "\n",
-        "image_logs = [\n",
-        "    dict(\n",
-        "        images=[image],\n",
-        "        validation_prompt=\"validation_prompt\",\n",
-        "        validation_image=image,\n",
-        "    )\n",
-        "    for image in images\n",
-        "]\n",
-        "save_model_card(\n",
-        "    repo_id=\"camaro/test\",\n",
-        "    image_logs=image_logs,\n",
-        "    base_model=\"runwayml/stable-diffusion-v1-5\",\n",
-        "    repo_folder=\".\",\n",
-        ")"
-      ],
-      "metadata": {
-        "id": "v7vs7eQyDeX1"
-      },
-      "id": "v7vs7eQyDeX1",
-      "execution_count": 9,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 10,
-      "id": "b19ff19c-fff0-469f-b004-dd731edbffa9",
-      "metadata": {
-        "id": "b19ff19c-fff0-469f-b004-dd731edbffa9",
-        "outputId": "b8682622-e0ce-4015-91a3-2e5b018f1c4f",
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        }
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "---\n",
-            "license: creativeml-openrail-m\n",
-            "library_name: diffusers\n",
-            "tags:\n",
-            "- stable-diffusion\n",
-            "- stable-diffusion-diffusers\n",
-            "- text-to-image\n",
-            "- diffusers\n",
-            "- controlnet\n",
-            "inference: true\n",
-            "base_model: runwayml/stable-diffusion-v1-5\n",
-            "---\n",
-            "\n",
-            "<!-- This model card has been generated automatically according to the information the training script had access to. You\n",
-            "should probably proofread and complete it, then remove this comment. -->\n",
-            "\n",
-            "\n",
-            "# controlnet-camaro/test\n",
-            "\n",
-            "These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.\n",
-            "You can find some example images below.\n",
-            "prompt: validation_prompt\n",
-            "![images_0)](./images_0.png)\n",
-            "prompt: validation_prompt\n",
-            "![images_1)](./images_1.png)\n",
-            "prompt: validation_prompt\n",
-            "![images_2)](./images_2.png)\n",
-            "\n",
-            "\n",
-            "\n",
-            "## Intended uses & limitations\n",
-            "\n",
-            "#### How to use\n",
-            "\n",
-            "```python\n",
-            "# TODO: add an example code snippet for running this diffusion pipeline\n",
-            "```\n",
-            "\n",
-            "#### Limitations and bias\n",
-            "\n",
-            "[TODO: provide examples of latent issues and potential remediations]\n",
-            "\n",
-            "## Training details\n",
-            "\n",
-            "[TODO: describe the data used to train the model]"
-          ]
-        }
-      ],
-      "source": [
-        "!cat README.md"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [],
-      "metadata": {
-        "id": "Y3uTj1bv5Amw"
-      },
-      "id": "Y3uTj1bv5Amw",
-      "execution_count": null,
-      "outputs": []
-    }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.9.17"
-    },
-    "colab": {
-      "provenance": [],
-      "gpuType": "T4"
-    },
-    "accelerator": "GPU"
-  },
-  "nbformat": 4,
-  "nbformat_minor": 5
-}