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test-model-card-template-controlnet

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Diffusers
stable-diffusion
stable-diffusion-diffusers
controlnet
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  1. test_model_card_controlnet_sdxl.ipynb +0 -620
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- {
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- "cells": [
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- {
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- "cell_type": "code",
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- "source": [
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- "!git clone https://github.com/bamps53/diffusers\n",
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- "%cd diffusers\n",
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- "!git checkout 0f443c8b897c0bb9c034e524d1ab1127ab88d587\n",
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- "!pip install -q -e \".[dev]\""
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- ],
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- "metadata": {
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- "colab": {
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- "base_uri": "https://localhost:8080/"
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- },
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- "id": "ZNgWSJQ-BViA",
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- "outputs": [
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- {
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- "output_type": "stream",
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- "name": "stdout",
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- "text": [
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- "/content/diffusers\n"
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- ]
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- }
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- ]
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- },
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- {
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- "cell_type": "code",
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- "source": [
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- "!wget https://huggingface.co/sayakpaul/test-model-card-template-dreambooth/resolve/main/image_0.png\n",
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- "!wget https://huggingface.co/sayakpaul/test-model-card-template-dreambooth/resolve/main/image_1.png\n",
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- "!wget https://huggingface.co/sayakpaul/test-model-card-template-dreambooth/resolve/main/image_2.png"
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- ],
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- "metadata": {
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- "colab": {
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- "base_uri": "https://localhost:8080/"
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- "outputs": [
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- {
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- "output_type": "stream",
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- "text": [
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- "--2024-02-08 13:47:00-- https://huggingface.co/sayakpaul/test-model-card-template-dreambooth/resolve/main/image_0.png\n",
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- "Resolving huggingface.co (huggingface.co)... 3.163.189.114, 3.163.189.37, 3.163.189.90, ...\n",
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- "Connecting to huggingface.co (huggingface.co)|3.163.189.114|:443... connected.\n",
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- "HTTP request sent, awaiting response... 200 OK\n",
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- "Length: 386612 (378K) [image/png]\n",
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- "Saving to: ‘image_0.png’\n",
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- "\n",
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- "image_0.png 100%[===================>] 377.55K --.-KB/s in 0.1s \n",
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- "\n",
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- "2024-02-08 13:47:00 (2.84 MB/s) - ‘image_0.png’ saved [386612/386612]\n",
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- "\n",
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- "--2024-02-08 13:47:00-- https://huggingface.co/sayakpaul/test-model-card-template-dreambooth/resolve/main/image_1.png\n",
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- "Resolving huggingface.co (huggingface.co)... 3.163.189.114, 3.163.189.37, 3.163.189.90, ...\n",
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- "Connecting to huggingface.co (huggingface.co)|3.163.189.114|:443... connected.\n",
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- "HTTP request sent, awaiting response... 200 OK\n",
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- "Length: 386612 (378K) [image/png]\n",
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- "Saving to: ‘image_1.png’\n",
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- "\n",
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- "image_1.png 100%[===================>] 377.55K --.-KB/s in 0.03s \n",
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- "\n",
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- "2024-02-08 13:47:00 (14.1 MB/s) - ‘image_1.png’ saved [386612/386612]\n",
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- "\n",
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- "--2024-02-08 13:47:00-- https://huggingface.co/sayakpaul/test-model-card-template-dreambooth/resolve/main/image_2.png\n",
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- "Resolving huggingface.co (huggingface.co)... 3.163.189.114, 3.163.189.37, 3.163.189.90, ...\n",
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- "Connecting to huggingface.co (huggingface.co)|3.163.189.114|:443... connected.\n",
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- "HTTP request sent, awaiting response... 200 OK\n",
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- "Length: 386612 (378K) [image/png]\n",
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- "Saving to: ‘image_2.png’\n",
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- "\n",
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- "image_2.png 100%[===================>] 377.55K --.-KB/s in 0.07s \n",
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- "\n",
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- "2024-02-08 13:47:01 (5.29 MB/s) - ‘image_2.png’ saved [386612/386612]\n",
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- "\n"
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- ]
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- }
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- ]
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- },
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- {
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- "cell_type": "code",
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- "source": [
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- "from diffusers.utils import load_image\n",
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- "from examples.controlnet.train_controlnet_sdxl import save_model_card\n",
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- "\n",
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- "images = [load_image(f\"image_{i}.png\") for i in range(3)]\n",
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- "\n",
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- "image_logs = [\n",
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- " dict(\n",
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- " images=[image],\n",
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- " validation_prompt=\"validation_prompt\",\n",
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- " validation_image=image,\n",
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- " )\n",
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- " for image in images\n",
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- "]\n",
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- "save_model_card(\n",
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- " repo_id=\"camaro/test\",\n",
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- " image_logs=image_logs,\n",
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- " base_model=\"runwayml/stable-diffusion-v1-5\",\n",
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- " repo_folder=\".\",\n",
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- ")"
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- "height": 190,
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- "referenced_widgets": [
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- "outputs": [
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- {
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- "output_type": "stream",
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- "text": [
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- "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n"
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- ]
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- {
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- "output_type": "display_data",
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- "text": [
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- "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n",
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- "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
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- "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
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- "You will be able to reuse this secret in all of your notebooks.\n",
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- "Please note that authentication is recommended but still optional to access public models or datasets.\n",
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- " warnings.warn(\n"
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- ]
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- }
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- ]
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- },
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- {
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- "cell_type": "code",
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- "execution_count": 3,
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- "id": "b19ff19c-fff0-469f-b004-dd731edbffa9",
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- "metadata": {
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- "colab": {
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- "base_uri": "https://localhost:8080/"
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- },
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- "id": "b19ff19c-fff0-469f-b004-dd731edbffa9",
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- "outputId": "f1248d0f-9909-44b5-d0e8-72ceab6640a2"
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- },
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- "outputs": [
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- {
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- "output_type": "stream",
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- "name": "stdout",
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- "text": [
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- "---\n",
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- "license: openrail++\n",
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- "library_name: diffusers\n",
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- "tags:\n",
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- "- stable-diffusion-xl\n",
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- "- stable-diffusion-xl-diffusers\n",
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- "- text-to-image\n",
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- "- diffusers\n",
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- "- controlnet\n",
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- "inference: true\n",
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- "base_model: runwayml/stable-diffusion-v1-5\n",
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- "---\n",
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- "\n",
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- "<!-- This model card has been generated automatically according to the information the training script had access to. You\n",
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- "should probably proofread and complete it, then remove this comment. -->\n",
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- "\n",
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- "\n",
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- "# controlnet-camaro/test\n",
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- "\n",
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- "These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.\n",
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- "You can find some example images below.\n",
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- "prompt: validation_prompt\n",
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- "![images_0)](./images_0.png)\n",
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- "prompt: validation_prompt\n",
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- "![images_1)](./images_1.png)\n",
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- "prompt: validation_prompt\n",
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- "![images_2)](./images_2.png)\n",
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- "\n",
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- "\n",
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- "\n",
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- "## Intended uses & limitations\n",
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- "\n",
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- "#### How to use\n",
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- "\n",
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- "```python\n",
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- "# TODO: add an example code snippet for running this diffusion pipeline\n",
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- "```\n",
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- "\n",
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- "#### Limitations and bias\n",
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- "\n",
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- "[TODO: provide examples of latent issues and potential remediations]\n",
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- "\n",
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- "## Training details\n",
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- "\n",
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- "[TODO: describe the data used to train the model]"
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- ]
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- }
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- ],
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- "source": [
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- "!cat README.md"
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- ]
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- },
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- {
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- "display_name": "Python 3",
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- "name": "python3"
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- },
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- "language_info": {
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- "codemirror_mode": {
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- "name": "ipython",
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- "version": 3
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- },
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- "file_extension": ".py",
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- "mimetype": "text/x-python",
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- "name": "python",
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- "nbconvert_exporter": "python",
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- "pygments_lexer": "ipython3",
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- "version": "3.9.17"
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- },
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- "colab": {
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- "provenance": [],
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- "gpuType": "T4"
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- "accelerator": "GPU",
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