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251
StableDiffusionUI_(adapted_to_NovelAILeaks).ipynb
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StableDiffusionUI_(adapted_to_NovelAILeaks).ipynb
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": [],
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"collapsed_sections": []
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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},
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"accelerator": "GPU",
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"gpuClass": "standard"
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},
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"Clone webui repository"
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],
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"metadata": {
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"id": "OHCtG9MT0jLq"
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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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"!git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui\n",
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"%cd stable-diffusion-webui"
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],
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"metadata": {
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"id": "sBbcB4vwj_jm",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "7d5fbd3c-fca4-4223-e0b0-4b7c34996d6f"
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},
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"execution_count": null,
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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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"Cloning into 'stable-diffusion-webui'...\n",
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"remote: Enumerating objects: 4564, done.\u001b[K\n",
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"remote: Counting objects: 100% (143/143), done.\u001b[K\n",
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"remote: Compressing objects: 100% (74/74), done.\u001b[K\n",
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"remote: Total 4564 (delta 84), reused 104 (delta 69), pack-reused 4421\u001b[K\n",
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"Receiving objects: 100% (4564/4564), 20.39 MiB | 11.05 MiB/s, done.\n",
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"Resolving deltas: 100% (3192/3192), done.\n",
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"/content/stable-diffusion-webui\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": "markdown",
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"source": [
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"Download the model from NovelAILeaks."
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],
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"metadata": {
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"id": "F0EINk5M0s-w"
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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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"!mkdir -p /content/stable-diffusion-webui/models/Stable-diffusion /content/stable-diffusion-webui/models/hypernetworks\n",
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"%cd /content/stable-diffusion-webui/models/Stable-diffusion/\n",
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"\n",
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"# 7G animefull-final-latest (may not work)\n",
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"# !gdown 17WWd6KEsBj7D_0TyGp8aXHQDlchYVs1a -O /content/stable-diffusion-webui/models/Stable-diffusion/model.ckpt\n",
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"\n",
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"# 4G animefull-final-pruned\n",
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"# !gdown 1d3f2fvN2gLRocBahZrXe_v1EEHuqpUzT -O /content/stable-diffusion-webui/models/Stable-diffusion/model.ckpt\n",
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"\n",
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"# 4G animefull-final-pruned (backup)\n",
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"!curl -Lo model.ckpt https://cloudflare-ipfs.com/ipfs/bafybeicpamreyp2bsocyk3hpxr7ixb2g2rnrequub3j2ahrkdxbvfbvjc4/model.ckpt\n",
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"\n",
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"# Install VAE Weights (optional)\n",
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"!curl -Lo model.vae.pt https://cloudflare-ipfs.com/ipfs/bafybeiccldswdd3wvg57jhclcq53lvsc6gizasiblwayvhlv6eq4wow7wu/animevae.pt \n",
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"\n",
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"# Install hypernetwork （optional)\n",
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"!curl -L https://cloudflare-ipfs.com/ipfs/bafybeiduanx2b3mcvxlwr66igcwnpfmk3nc3qgxlpwh6oq6m6pxii3f77e/_modules.tar | tar x -C /content/stable-diffusion-webui/models/hypernetworks\n",
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"\n",
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"# Install custom embeddings (modified, optional)\n",
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"# !curl -L https://cloudflare-ipfs.com/ipfs/bafybeie3hdjchxs5tz4n75bos53nhcklslguxchdurc2ynrzcfv2kwyklu/embeddings.tar | tar x -C /content/stable-diffusion-webui/embeddings"
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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": "ZzRNMT42Gw_p",
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"outputId": "5f256bc3-ce49-4444-e232-72ecbe282330"
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},
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"execution_count": null,
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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/stable-diffusion-webui/models/Stable-diffusion\n",
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" % Total % Received % Xferd Average Speed Time Time Time Current\n",
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" Dload Upload Total Spent Left Speed\n",
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"100 4067M 100 4067M 0 0 111M 0 0:00:36 0:00:36 --:--:-- 145M\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": "markdown",
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"source": [
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"Launch web ui. You will get a link to nnn.gradio.app, follow it.\n",
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"\n",
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"Commandline arguments are:\n",
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" - `--share` - create online gradio.app link\n",
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" - `--gradio-debug` - print outputs to console\n",
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" - `--gradio-auth me:qwerty` - add authentication to gradio: username me, password qwerty"
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],
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"metadata": {
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"id": "xt8lbdmC04ox"
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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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"%cd /content/stable-diffusion-webui\n",
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"!COMMANDLINE_ARGS=\"--share --gradio-debug --medvram\" REQS_FILE=\"requirements.txt\" python launch.py"
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],
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"metadata": {
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"id": "R-xAdMA5wxXd",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "9e234b7e-95f1-4456-d0ed-483989838fef"
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},
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"execution_count": null,
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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/stable-diffusion-webui\n",
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"Python 3.7.14 (default, Sep 8 2022, 00:06:44) \n",
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"[GCC 7.5.0]\n",
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"Commit hash: 97bc0b9504572d2df80598d0b694703bcd626de6\n",
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"Installing requirements for Web UI\n",
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"Launching Web UI with arguments: --share --gradio-debug --medvram\n",
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"LatentDiffusion: Running in eps-prediction mode\n",
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"DiffusionWrapper has 859.52 M params.\n",
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"making attention of type 'vanilla' with 512 in_channels\n",
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"Working with z of shape (1, 4, 32, 32) = 4096 dimensions.\n",
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"making attention of type 'vanilla' with 512 in_channels\n",
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"Loading weights [925997e9] from /content/stable-diffusion-webui/models/Stable-diffusion/model.ckpt\n",
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"Model loaded.\n",
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"Loaded a total of 0 textual inversion embeddings.\n",
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"Running on local URL: http://127.0.0.1:7860\n",
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"Running on public URL: https://13759.gradio.app\n",
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"\n",
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"This share link expires in 72 hours. For free permanent hosting, check out Spaces: https://huggingface.co/spaces\n",
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" 0% 0/20 [00:00<?, ?it/s]\n",
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" 5% 1/20 [00:04<01:29, 4.71s/it]\n",
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" 10% 2/20 [00:04<00:37, 2.08s/it]\n",
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" 15% 3/20 [00:05<00:21, 1.24s/it]\n",
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" 20% 4/20 [00:05<00:13, 1.18it/s]\n",
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" 25% 5/20 [00:05<00:09, 1.59it/s]\n",
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" 30% 6/20 [00:05<00:06, 2.01it/s]\n",
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" 35% 7/20 [00:06<00:05, 2.42it/s]\n",
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" 40% 8/20 [00:06<00:04, 2.79it/s]\n",
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" 45% 9/20 [00:06<00:03, 3.11it/s]\n",
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" 50% 10/20 [00:06<00:02, 3.37it/s]\n",
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" 55% 11/20 [00:07<00:02, 3.58it/s]\n",
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" 65% 13/20 [00:07<00:01, 3.85it/s]\n",
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" 70% 14/20 [00:07<00:01, 3.93it/s]\n",
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" 75% 15/20 [00:08<00:01, 4.01it/s]\n",
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" 80% 16/20 [00:08<00:00, 4.05it/s]\n",
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" 85% 17/20 [00:08<00:00, 4.08it/s]\n",
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" 90% 18/20 [00:08<00:00, 4.10it/s]\n",
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" 95% 19/20 [00:09<00:00, 4.11it/s]\n",
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"100% 20/20 [00:09<00:00, 2.15it/s]\n",
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"Total progress: 100% 20/20 [00:05<00:00, 3.52it/s]\n",
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"Interrupted with signal 2 in <frame at 0x7fe77eaa9230, file '/usr/local/lib/python3.7/dist-packages/gradio/blocks.py', line 1238, code block_thread>\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": "markdown",
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"source": [
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"commands for ***after*** you have gotten done with a session\n",
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"============================================================================"
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],
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"metadata": {
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"id": "T3957x2AY7iP"
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"Zip images for downloading on local drive (click the folder icon on the left, the one below {x})"
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],
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"metadata": {
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"id": "aCtJffM2ZE06"
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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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"!zip -r /content/stable-diffusion-webui /content/stable-diffusion-webui/outputs "
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],
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"metadata": {
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"id": "TmRqNyiAZCHu"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
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"source": [
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"Save images to Google Drive **Warning: this will cause google to scan your drive, so if you intend to use this and worry about that kind of stuff, probablly just set this up on a clean account that's just for this colab**"
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],
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"metadata": {
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"id": "tcslU-S2ZNr9"
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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 google.colab import drive # type: ignore\n",
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"\n",
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"try:\n",
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" drive_path = \"/content/drive\"\n",
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" drive.mount(drive_path,force_remount=False)\n",
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"except:\n",
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" print(\"...error mounting drive or with drive path variables\")\n",
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"\n",
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"!cp -r \"/content/stable-diffusion-webui/outputs\" \"/content/drive/MyDrive\""
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],
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"metadata": {
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"id": "-N0lnu-TZOTW"
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},
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"execution_count": null,
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"outputs": []
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}
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]
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}
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