Copy_of_Text_To_Image.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/mrsirtrancealot/colabtools/blob/main/Copy_of_Text_To_Image.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VjYy0F2gZIPR",
        "outputId": "b7c8bbf6-3e5b-4d59-8041-40f934b9870c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting pygit2==1.12.2\n",
            "  Downloading pygit2-1.12.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.9/4.9 MB\u001b[0m \u001b[31m14.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: cffi>=1.9.1 in /usr/local/lib/python3.10/dist-packages (from pygit2==1.12.2) (1.16.0)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.9.1->pygit2==1.12.2) (2.22)\n",
            "Installing collected packages: pygit2\n",
            "Successfully installed pygit2-1.12.2\n",
            "/content\n",
            "Cloning into 'Fooocus'...\n",
            "remote: Enumerating objects: 5946, done.\u001b[K\n",
            "remote: Total 5946 (delta 0), reused 0 (delta 0), pack-reused 5946\u001b[K\n",
            "Receiving objects: 100% (5946/5946), 32.87 MiB | 24.66 MiB/s, done.\n",
            "Resolving deltas: 100% (3368/3368), done.\n",
            "/content/Fooocus\n",
            "Already up-to-date\n",
            "Update succeeded.\n",
            "[System ARGV] ['entry_with_update.py', '--share']\n",
            "Python 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]\n",
            "Fooocus version: 2.3.1\n",
            "Error checking version for torchsde: No package metadata was found for torchsde\n",
            "Installing requirements\n",
            "[Cleanup] Attempting to delete content of temp dir /tmp/fooocus\n",
            "[Cleanup] Cleanup successful\n",
            "Downloading: \"https://huggingface.co/lllyasviel/misc/resolve/main/xlvaeapp.pth\" to /content/Fooocus/models/vae_approx/xlvaeapp.pth\n",
            "\n",
            "100% 209k/209k [00:00<00:00, 10.4MB/s]\n",
            "Downloading: \"https://huggingface.co/lllyasviel/misc/resolve/main/vaeapp_sd15.pt\" to /content/Fooocus/models/vae_approx/vaeapp_sd15.pth\n",
            "\n",
            "100% 209k/209k [00:00<00:00, 9.05MB/s]\n",
            "Downloading: \"https://huggingface.co/lllyasviel/misc/resolve/main/xl-to-v1_interposer-v3.1.safetensors\" to /content/Fooocus/models/vae_approx/xl-to-v1_interposer-v3.1.safetensors\n",
            "\n",
            "100% 6.25M/6.25M [00:00<00:00, 101MB/s]\n",
            "Downloading: \"https://huggingface.co/lllyasviel/misc/resolve/main/fooocus_expansion.bin\" to /content/Fooocus/models/prompt_expansion/fooocus_expansion/pytorch_model.bin\n",
            "\n",
            "100% 335M/335M [00:01<00:00, 293MB/s]\n",
            "Downloading: \"https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/juggernautXL_v8Rundiffusion.safetensors\" to /content/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors\n",
            "\n",
            "100% 6.62G/6.62G [00:34<00:00, 205MB/s]\n",
            "Downloading: \"https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors\" to /content/Fooocus/models/loras/sd_xl_offset_example-lora_1.0.safetensors\n",
            "\n",
            "100% 47.3M/47.3M [00:00<00:00, 209MB/s]\n",
            "Total VRAM 15102 MB, total RAM 12979 MB\n",
            "Set vram state to: NORMAL_VRAM\n",
            "Always offload VRAM\n",
            "Device: cuda:0 Tesla T4 : native\n",
            "VAE dtype: torch.float32\n",
            "Using pytorch cross attention\n",
            "2024-05-14 17:07:59.693192: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
            "2024-05-14 17:07:59.693241: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
            "2024-05-14 17:07:59.799469: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
            "2024-05-14 17:08:02.240357: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "Refiner unloaded.\n",
            "IMPORTANT: You are using gradio version 3.41.2, however version 4.29.0 is available, please upgrade.\n",
            "--------\n",
            "Running on local URL:  http://127.0.0.1:7865\n",
            "model_type EPS\n",
            "UNet ADM Dimension 2816\n",
            "Running on public URL: https://2140bda57dcb961f9e.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n",
            "Using pytorch attention in VAE\n",
            "Working with z of shape (1, 4, 32, 32) = 4096 dimensions.\n",
            "Using pytorch attention in VAE\n",
            "extra {'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'}\n",
            "Base model loaded: /content/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors\n",
            "Request to load LoRAs [['sd_xl_offset_example-lora_1.0.safetensors', 0.1], ['None', 1.0], ['None', 1.0], ['None', 1.0], ['None', 1.0]] for model [/content/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors].\n",
            "Loaded LoRA [/content/Fooocus/models/loras/sd_xl_offset_example-lora_1.0.safetensors] for UNet [/content/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors] with 788 keys at weight 0.1.\n",
            "Fooocus V2 Expansion: Vocab with 642 words.\n",
            "Fooocus Expansion engine loaded for cuda:0, use_fp16 = True.\n",
            "Requested to load SDXLClipModel\n",
            "Requested to load GPT2LMHeadModel\n",
            "Loading 2 new models\n",
            "[Fooocus Model Management] Moving model(s) has taken 0.67 seconds\n",
            "Started worker with PID 791\n",
            "App started successful. Use the app with http://127.0.0.1:7865/ or 127.0.0.1:7865 or https://2140bda57dcb961f9e.gradio.live\n"
          ]
        }
      ],
      "source": [
        "!pip install pygit2==1.12.2\n",
        "%cd /content\n",
        "!git clone https://github.com/lllyasviel/Fooocus.git\n",
        "%cd /content/Fooocus\n",
        "!python entry_with_update.py --share"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HHtm80cS0djh"
      },
      "source": [
        "## Optional\n",
        "If you do not get public URL, try running the cell below and restart the upper cell."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Phyc7laU0g5j"
      },
      "outputs": [],
      "source": [
        "!wget https://cdn-media.huggingface.co/frpc-gradio-0.2/frpc_linux_amd64 -O /usr/local/lib/python3.10/dist-packages/gradio/frpc_linux_amd64_v0.2"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}