diff --git "a/Sagemaker_Notebook_1.3.ipynb" "b/Sagemaker_Notebook_1.3.ipynb" new file mode 100644--- /dev/null +++ "b/Sagemaker_Notebook_1.3.ipynb" @@ -0,0 +1,3451 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2a86fcac-7907-4ab9-8287-d21b241e1b89", + "metadata": {}, + "source": [ + "RUN THIS CODE BELOW (Only in the first run)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "7ad40e45-9797-4188-be16-2e6c4d218ddc", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting package metadata (current_repodata.json): \\ Collecting package metadata (current_repodata.json): / / - done\n", + "Solving environment: done\n", + "Solving environment: done\n", + "done\n", + "\n", + "## Package Plan ##\n", + "\n", + " environment location: /opt/conda\n", + "\n", + " added / updated specs:\n", + " - conda\n", + "\n", + "\n", + "The following packages will be downloaded:\n", + "\n", + " package | build\n", + " ---------------------------|-----------------\n", + " _openmp_mutex-4.5 | 2_gnu 23 KB conda-forge\n", + " boltons-23.0.0 | pyhd8ed1ab_0 296 KB conda-forge\n", + " brotli-python-1.1.0 | py39h3d6467e_0 343 KB conda-forge\n", + " bzip2-1.0.8 | h7f98852_4 484 KB conda-forge\n", + " ca-certificates-2023.7.22 | hbcca054_0 146 KB conda-forge\n", + " certifi-2023.7.22 | pyhd8ed1ab_0 150 KB conda-forge\n", + " cffi-1.15.1 | py39h7a31438_5 231 KB conda-forge\n", + " charset-normalizer-3.2.0 | pyhd8ed1ab_0 45 KB conda-forge\n", + " colorama-0.4.6 | pyhd8ed1ab_0 25 KB conda-forge\n", + " conda-23.7.4 | py39hf3d152e_0 995 KB conda-forge\n", + " conda-package-handling-2.2.0| pyh38be061_0 249 KB conda-forge\n", + " conda-package-streaming-0.9.0| pyhd8ed1ab_0 19 KB conda-forge\n", + " cryptography-41.0.4 | py39hd4f0224_0 1.9 MB conda-forge\n", + " idna-3.4 | pyhd8ed1ab_0 55 KB conda-forge\n", + " jsonpatch-1.33 | pyhd8ed1ab_0 17 KB conda-forge\n", + " jsonpointer-2.4 | py39hf3d152e_3 16 KB conda-forge\n", + " ld_impl_linux-64-2.40 | h41732ed_0 688 KB conda-forge\n", + " libffi-3.4.2 | h7f98852_5 57 KB conda-forge\n", + " libgcc-ng-13.2.0 | h807b86a_2 753 KB conda-forge\n", + " libgomp-13.2.0 | h807b86a_2 411 KB conda-forge\n", + " libnsl-2.0.0 | h7f98852_0 31 KB conda-forge\n", + " libsqlite-3.43.0 | h2797004_0 821 KB conda-forge\n", + " libstdcxx-ng-13.2.0 | h7e041cc_2 3.7 MB conda-forge\n", + " libuuid-2.38.1 | h0b41bf4_0 33 KB conda-forge\n", + " libzlib-1.2.13 | hd590300_5 60 KB conda-forge\n", + " ncurses-6.4 | hcb278e6_0 860 KB conda-forge\n", + " openssl-3.1.3 | hd590300_0 2.5 MB conda-forge\n", + " packaging-23.1 | pyhd8ed1ab_0 45 KB conda-forge\n", + " pluggy-1.3.0 | pyhd8ed1ab_0 22 KB conda-forge\n", + " pycosat-0.6.4 | py39hd1e30aa_2 82 KB conda-forge\n", + " pycparser-2.21 | pyhd8ed1ab_0 100 KB conda-forge\n", + " pyopenssl-23.2.0 | pyhd8ed1ab_1 126 KB conda-forge\n", + " pysocks-1.7.1 | pyha2e5f31_6 19 KB conda-forge\n", + " python-3.9.18 |h0755675_0_cpython 22.7 MB conda-forge\n", + " python_abi-3.9 | 4_cp39 6 KB conda-forge\n", + " readline-8.2 | h8228510_1 275 KB conda-forge\n", + " requests-2.31.0 | pyhd8ed1ab_0 55 KB conda-forge\n", + " ruamel.yaml-0.17.32 | py39hd1e30aa_0 195 KB conda-forge\n", + " ruamel.yaml.clib-0.2.7 | py39h72bdee0_1 140 KB conda-forge\n", + " setuptools-68.2.2 | pyhd8ed1ab_0 454 KB conda-forge\n", + " tk-8.6.13 | h2797004_0 3.1 MB conda-forge\n", + " toolz-0.12.0 | pyhd8ed1ab_0 48 KB conda-forge\n", + " tqdm-4.66.1 | pyhd8ed1ab_0 87 KB conda-forge\n", + " tzdata-2023c | h71feb2d_0 115 KB conda-forge\n", + " urllib3-2.0.5 | pyhd8ed1ab_0 96 KB conda-forge\n", + " wheel-0.41.2 | pyhd8ed1ab_0 56 KB conda-forge\n", + " xz-5.2.6 | h166bdaf_0 409 KB conda-forge\n", + " zstandard-0.21.0 | py39h6e5214e_1 395 KB conda-forge\n", + " zstd-1.5.5 | hfc55251_0 532 KB conda-forge\n", + " ------------------------------------------------------------\n", + " Total: 43.7 MB\n", + "\n", + "The following NEW packages will be INSTALLED:\n", + "\n", + " boltons conda-forge/noarch::boltons-23.0.0-pyhd8ed1ab_0\n", + " brotli-python conda-forge/linux-64::brotli-python-1.1.0-py39h3d6467e_0\n", + " bzip2 conda-forge/linux-64::bzip2-1.0.8-h7f98852_4\n", + " conda-package-str~ conda-forge/noarch::conda-package-streaming-0.9.0-pyhd8ed1ab_0\n", + " jsonpatch conda-forge/noarch::jsonpatch-1.33-pyhd8ed1ab_0\n", + " jsonpointer conda-forge/linux-64::jsonpointer-2.4-py39hf3d152e_3\n", + " libnsl conda-forge/linux-64::libnsl-2.0.0-h7f98852_0\n", + " libsqlite conda-forge/linux-64::libsqlite-3.43.0-h2797004_0\n", + " libuuid conda-forge/linux-64::libuuid-2.38.1-h0b41bf4_0\n", + " libzlib conda-forge/linux-64::libzlib-1.2.13-hd590300_5\n", + " packaging conda-forge/noarch::packaging-23.1-pyhd8ed1ab_0\n", + " pluggy conda-forge/noarch::pluggy-1.3.0-pyhd8ed1ab_0\n", + " ruamel.yaml conda-forge/linux-64::ruamel.yaml-0.17.32-py39hd1e30aa_0\n", + " ruamel.yaml.clib conda-forge/linux-64::ruamel.yaml.clib-0.2.7-py39h72bdee0_1\n", + " toolz conda-forge/noarch::toolz-0.12.0-pyhd8ed1ab_0\n", + " zstandard conda-forge/linux-64::zstandard-0.21.0-py39h6e5214e_1\n", + " zstd conda-forge/linux-64::zstd-1.5.5-hfc55251_0\n", + "\n", + "The following packages will be REMOVED:\n", + "\n", + " brotlipy-0.7.0-py39h3811e60_1001\n", + " chardet-4.0.0-py39hf3d152e_1\n", + " ruamel_yaml-0.15.80-py39h3811e60_1004\n", + " six-1.16.0-pyh6c4a22f_0\n", + " sqlite-3.36.0-h9cd32fc_2\n", + " yaml-0.2.5-h516909a_0\n", + " zlib-1.2.11-h516909a_1010\n", + "\n", + "The following packages will be UPDATED:\n", + "\n", + " _openmp_mutex 4.5-1_gnu --> 4.5-2_gnu\n", + " ca-certificates 2021.5.30-ha878542_0 --> 2023.7.22-hbcca054_0\n", + " certifi conda-forge/linux-64::certifi-2021.5.~ --> conda-forge/noarch::certifi-2023.7.22-pyhd8ed1ab_0\n", + " cffi 1.14.6-py39h4bc2ebd_1 --> 1.15.1-py39h7a31438_5\n", + " charset-normalizer 2.0.0-pyhd8ed1ab_0 --> 3.2.0-pyhd8ed1ab_0\n", + " colorama 0.4.4-pyh9f0ad1d_0 --> 0.4.6-pyhd8ed1ab_0\n", + " conda 4.10.3-py39hf3d152e_2 --> 23.7.4-py39hf3d152e_0\n", + " conda-package-han~ conda-forge/linux-64::conda-package-h~ --> conda-forge/noarch::conda-package-handling-2.2.0-pyh38be061_0\n", + " cryptography 3.4.7-py39hbca0aa6_0 --> 41.0.4-py39hd4f0224_0\n", + " idna 3.1-pyhd3deb0d_0 --> 3.4-pyhd8ed1ab_0\n", + " ld_impl_linux-64 2.36.1-hea4e1c9_2 --> 2.40-h41732ed_0\n", + " libffi 3.4.2-h9c3ff4c_4 --> 3.4.2-h7f98852_5\n", + " libgcc-ng 11.2.0-h1d223b6_9 --> 13.2.0-h807b86a_2\n", + " libgomp 11.2.0-h1d223b6_9 --> 13.2.0-h807b86a_2\n", + " libstdcxx-ng 11.2.0-he4da1e4_9 --> 13.2.0-h7e041cc_2\n", + " ncurses 6.2-h58526e2_4 --> 6.4-hcb278e6_0\n", + " openssl 1.1.1l-h7f98852_0 --> 3.1.3-hd590300_0\n", + " pycosat 0.6.3-py39h3811e60_1006 --> 0.6.4-py39hd1e30aa_2\n", + " pycparser 2.20-pyh9f0ad1d_2 --> 2.21-pyhd8ed1ab_0\n", + " pyopenssl 20.0.1-pyhd8ed1ab_0 --> 23.2.0-pyhd8ed1ab_1\n", + " pysocks conda-forge/linux-64::pysocks-1.7.1-p~ --> conda-forge/noarch::pysocks-1.7.1-pyha2e5f31_6\n", + " python 3.9.7-hb7a2778_2_cpython --> 3.9.18-h0755675_0_cpython\n", + " python_abi 3.9-2_cp39 --> 3.9-4_cp39\n", + " readline 8.1-h46c0cb4_0 --> 8.2-h8228510_1\n", + " requests 2.26.0-pyhd8ed1ab_0 --> 2.31.0-pyhd8ed1ab_0\n", + " setuptools conda-forge/linux-64::setuptools-58.0~ --> conda-forge/noarch::setuptools-68.2.2-pyhd8ed1ab_0\n", + " tk 8.6.11-h27826a3_1 --> 8.6.13-h2797004_0\n", + " tqdm 4.62.3-pyhd8ed1ab_0 --> 4.66.1-pyhd8ed1ab_0\n", + " tzdata 2021a-he74cb21_1 --> 2023c-h71feb2d_0\n", + " urllib3 1.26.7-pyhd8ed1ab_0 --> 2.0.5-pyhd8ed1ab_0\n", + " wheel 0.37.0-pyhd8ed1ab_1 --> 0.41.2-pyhd8ed1ab_0\n", + " xz 5.2.5-h516909a_1 --> 5.2.6-h166bdaf_0\n", + "\n", + "\n", + "\n", + "Downloading and Extracting Packages\n", + "libzlib-1.2.13 | 60 KB | ##################################### | 100% \n", + "cryptography-41.0.4 | 1.9 MB | ##################################### | 100% \n", + "requests-2.31.0 | 55 KB | ##################################### | 100% \n", + "readline-8.2 | 275 KB | | 0% \n", + "\n", + "==> WARNING: A newer version of conda exists. <==\n", + " current version: 4.10.3\n", + " latest version: 23.7.4\n", + "\n", + "Please update conda by running\n", + "\n", + " $ conda update -n base conda\n", + "\n", + "\n", + "readline-8.2 | 275 KB | ##################################### | 100% \n", + "jsonpointer-2.4 | 16 KB | | 0% \n", + "## Package Plan ##\n", + "\n", + " environment location: /home/studio-lab-user/.conda/envs/default\n", + "\n", + " added / updated specs:\n", + " - libglib\n", + "\n", + "\n", + "The following packages will be downloaded:\n", + "\n", + " package | build\n", + " ---------------------------|-----------------\n", + " gettext-0.21.1 | h27087fc_0 4.1 MB conda-forge\n", + " libglib-2.78.0 | hebfc3b9_0 2.6 MB conda-forge\n", + " libiconv-1.17 | h166bdaf_0 1.4 MB conda-forge\n", + " openssl-3.1.3 | hd590300_0 2.5 MB conda-forge\n", + " pcre2-10.40 | hc3806b6_0 2.3 MB conda-forge\n", + " ------------------------------------------------------------\n", + " Total: 12.9 MB\n", + "\n", + "The following NEW packages will be INSTALLED:\n", + "\n", + " gettext conda-forge/linux-64::gettext-0.21.1-h27087fc_0\n", + " libglib conda-forge/linux-64::libglib-2.78.0-hebfc3b9_0\n", + " libiconv conda-forge/linux-64::libiconv-1.17-h166bdaf_0\n", + " pcre2 conda-forge/linux-64::pcre2-10.40-hc3806b6_0\n", + "\n", + "The following packages will be UPDATED:\n", + "\n", + " openssl 3.1.2-hd590300_0 --> 3.1.3-hd590300_0\n", + "\n", + "\n", + "\n", + "Downloading and Extracting Packages\n", + "jsonpointer-2.4 | 16 KB | ##################################### | 100% \n", + "ld_impl_linux-64-2.4 | 688 KB | ##################################### | 100% \n", + "pysocks-1.7.1 | 19 KB | ##################################### | 100% \n", + "cffi-1.15.1 | 231 KB | ##################################### | 100% \n", + "libiconv-1.17 | 1.4 MB | ##################################### | 100% \n", + "zstd-1.5.5 | 532 KB | ##################################### | 100% \n", + "libglib-2.78.0 | 2.6 MB | ##################################### | 100% \n", + "urllib3-2.0.5 | 96 KB | ##################################### | 100% \n", + "ruamel.yaml-0.17.32 | 195 KB | ##################################### | 100% \n", + "pyopenssl-23.2.0 | 126 KB | ##################################### | 100% \n", + "boltons-23.0.0 | 296 KB | ##################################### | 100% \n", + "charset-normalizer-3 | 45 KB | ##################################### | 100% \n", + "ca-certificates-2023 | 146 KB | ##################################### | 100% \n", + "openssl-3.1.3 | 2.5 MB | ##################################### | 100% \n", + "libstdcxx-ng-13.2.0 | 3.7 MB | ##################################### | 100% \n", + "libsqlite-3.43.0 | 821 KB | ##################################### | 100% \n", + "gettext-0.21.1 | 4.1 MB | ##################################### | 100% \n", + "setuptools-68.2.2 | 454 KB | ##################################### | 100% \n", + "conda-package-stream | 19 KB | ##################################### | 100% \n", + "conda-23.7.4 | 995 KB | ##################################### | 100% \n", + "pcre2-10.40 | 2.3 MB | ##################################### | 100% \n", + "openssl-3.1.3 | 2.5 MB | ##################################### | 100% \n", + "python-3.9.18 | 22.7 MB | #################################1 | 90done\n", + "python-3.9.18 | 22.7 MB | ##################################### | 100% \n", + "python_abi-3.9 | 6 KB | ##################################### | 100% \n", + "libnsl-2.0.0 | 31 KB | | 0done\n", + "libnsl-2.0.0 | 31 KB | ##################################### | 100% \n", + "brotli-python-1.1.0 | 343 KB | ##################################### | 100% \n", + "packaging-23.1 | 45 KB | | 0done\n", + "packaging-23.1 | 45 KB | ##################################### | 100% \n", + "pluggy-1.3.0 | 22 KB | ##################################### | 100% \n", + "libuuid-2.38.1 | 33 KB | ##################################### | 100% \n", + "ncurses-6.4 | 860 KB | ##################################### | 100% \n", + "bzip2-1.0.8 | 484 KB | ##################################### | 100% \n", + "certifi-2023.7.22 | 150 KB | ##################################### | 100% \n", + "xz-5.2.6 | 409 KB | ##################################### | 100% \n", + "toolz-0.12.0 | 48 KB | ##################################### | 100% \n", + "conda-package-handli | 249 KB | ##################################### | 100% \n", + "wheel-0.41.2 | 56 KB | ##################################### | 100% \n", + "libgomp-13.2.0 | 411 KB | ##################################### | 100% \n", + "libffi-3.4.2 | 57 KB | ##################################### | 100% \n", + "colorama-0.4.6 | 25 KB | ##################################### | 100% \n", + "tzdata-2023c | 115 KB | ##################################### | 100% \n", + "pycparser-2.21 | 100 KB | ##################################### | 100% \n", + "ruamel.yaml.clib-0.2 | 140 KB | ##################################### | 100% \n", + "_openmp_mutex-4.5 | 23 KB | ##################################### | 100% \n", + "tk-8.6.13 | 3.1 MB | ##################################### | 100% \n", + "pycosat-0.6.4 | 82 KB | ##################################### | 100% \n", + "zstandard-0.21.0 | 395 KB | ##################################### | 100% \n", + "jsonpatch-1.33 | 17 KB | ##################################### | 100% \n", + "tqdm-4.66.1 | 87 KB | ##################################### | 100% \n", + "idna-3.4 | 55 KB | ##################################### | 100% \n", + "libgcc-ng-13.2.0 | 753 KB | ##################################### | 100% \n", + "Preparing transaction: done\n", + "Verifying transaction: done\n", + "Executing transaction: done\n", + "Cloning into 'stable-diffusion-webui'...\n", + "remote: Enumerating objects: 318, done.\u001b[K\n", + "remote: Counting objects: 100% (318/318), done.\u001b[K\n", + "remote: Compressing objects: 100% (290/290), done.\u001b[K\n", + "remote: Total 318 (delta 11), reused 145 (delta 8), pack-reused 0\u001b[K\n", + "Receiving objects: 100% (318/318), 1.69 MiB | 9.48 MiB/s, done.\n", + "Resolving deltas: 100% (11/11), done.\n", + "Encountered 6 file(s) that should have been pointers, but weren't:\n", + "\thtml/card-no-preview.png\n", + "\tmodules/Roboto-Regular.ttf\n", + "\tmodules/textual_inversion/test_embedding.png\n", + "\tscreenshot.png\n", + "\ttest/test_files/img2img_basic.png\n", + "\ttest/test_files/mask_basic.png\n", + "/home/studio-lab-user/stable-diffusion-webui\n", + "Already up to date.\n", + "/home/studio-lab-user/stable-diffusion-webui/embeddings\n", + "Cloning into 'negativekit'...\n", + "remote: Enumerating objects: 34, done.\u001b[K\n", + "remote: Counting objects: 100% (34/34), done.\u001b[K\n", + "remote: Compressing objects: 100% (34/34), done.\u001b[K\n", + "remote: Total 34 (delta 3), reused 0 (delta 0), pack-reused 0\u001b[K\n", + "Unpacking objects: 100% (34/34), 1.46 MiB | 6.83 MiB/s, done.\n", + "/home/studio-lab-user/stable-diffusion-webui/extensions\n", + "Cloning into 'batchlinks-webui'...\n", + "remote: Enumerating objects: 65, done.\u001b[K\n", + "remote: Counting objects: 100% (65/65), done.\u001b[K\n", + "remote: Compressing objects: 100% (60/60), done.\u001b[K\n", + "remote: Total 65 (delta 1), reused 50 (delta 1), pack-reused 0\u001b[K\n", + "Unpacking objects: 100% (65/65), 4.17 MiB | 11.67 MiB/s, done.\n", + "Cloning into 'sd-webui-infinite-image-browsing'...\n", + "remote: Enumerating objects: 179, done.\u001b[K\n", + "remote: Counting objects: 100% (179/179), done.\u001b[K\n", + "remote: Compressing objects: 100% (165/165), done.\u001b[K\n", + "remote: Total 179 (delta 7), reused 108 (delta 2), pack-reused 0\u001b[K\n", + "Receiving objects: 100% (179/179), 1.73 MiB | 8.00 MiB/s, done.\n", + "Resolving deltas: 100% (7/7), done.\n", + "Cloning into 'CN-v11400'...\n", + "remote: Enumerating objects: 1055, done.\u001b[K\n", + "remote: Counting objects: 100% (1055/1055), done.\u001b[K\n", + "remote: Compressing objects: 100% (930/930), done.\u001b[K\n", + "remote: Total 1055 (delta 105), reused 852 (delta 102), pack-reused 0\u001b[K\n", + "Receiving objects: 100% (1055/1055), 8.37 MiB | 35.55 MiB/s, done.\n", + "Resolving deltas: 100% (105/105), done.\n", + "Cloning into 'adetailer'...\n", + "remote: Enumerating objects: 37, done.\u001b[K\n", + "remote: Counting objects: 100% (37/37), done.\u001b[K\n", + "remote: Compressing objects: 100% (34/34), done.\u001b[K\n", + "remote: Total 37 (delta 0), reused 0 (delta 0), pack-reused 0\u001b[K\n", + "Unpacking objects: 100% (37/37), 93.67 KiB | 1.61 MiB/s, done.\n", + "Cloning into 'ultimatesdupscale'...\n", + "remote: Enumerating objects: 7, done.\u001b[K\n", + "remote: Counting objects: 100% (7/7), done.\u001b[K\n", + "remote: Compressing objects: 100% (5/5), done.\u001b[K\n", + "remote: Total 7 (delta 0), reused 6 (delta 0), pack-reused 0\u001b[K\n", + "Unpacking objects: 100% (7/7), 17.82 KiB | 5.94 MiB/s, done.\n", + "Cloning into 'tagcomplete'...\n", + "remote: Enumerating objects: 32, done.\u001b[K\n", + "remote: Counting objects: 100% (32/32), done.\u001b[K\n", + "remote: Compressing objects: 100% (31/31), done.\u001b[K\n", + "remote: Total 32 (delta 4), reused 16 (delta 0), pack-reused 0\u001b[K\n", + "Unpacking objects: 100% (32/32), 1.92 MiB | 8.58 MiB/s, done.\n", + "Cloning into 'sd-webui-regional-prompter'...\n", + "remote: Enumerating objects: 15, done.\u001b[K\n", + "remote: Counting objects: 100% (15/15), done.\u001b[K\n", + "remote: Compressing objects: 100% (15/15), done.\u001b[K\n", + "remote: Total 15 (delta 0), reused 3 (delta 0), pack-reused 0\u001b[K\n", + "Unpacking objects: 100% (15/15), 74.75 KiB | 2.77 MiB/s, done.\n", + "Cloning into 'stable-diffusion-webui-two-shot'...\n", + "remote: Enumerating objects: 13, done.\u001b[K\n", + "remote: Counting objects: 100% (13/13), done.\u001b[K\n", + "remote: Compressing objects: 100% (13/13), done.\u001b[K\n", + "remote: Total 13 (delta 0), reused 6 (delta 0), pack-reused 0\u001b[K\n", + "Unpacking objects: 100% (13/13), 14.23 MiB | 15.44 MiB/s, done.\n", + "Cloning into 'stable-diffusion-webui-composable-lora'...\n", + "remote: Enumerating objects: 30, done.\u001b[K\n", + "remote: Counting objects: 100% (30/30), done.\u001b[K\n", + "remote: Compressing objects: 100% (29/29), done.\u001b[K\n", + "remote: Total 30 (delta 0), reused 24 (delta 0), pack-reused 0\u001b[K\n", + "Unpacking objects: 100% (30/30), 9.54 MiB | 13.15 MiB/s, done.\n", + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 502 0 502 0 0 419 0 --:--:-- 0:00:01 --:--:-- 419\n", + "100 36.1M 100 36.1M 0 0 5291k 0 0:00:06 0:00:06 --:--:-- 6654k\n", + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 496 0 496 0 0 445 0 --:--:-- 0:00:01 --:--:-- 445\n", + "100 111k 100 111k 0 0 80946 0 0:00:01 0:00:01 --:--:-- 80946\n" + ] + } + ], + "source": [ + "#Install all essentials for stable diffusion\n", + "!conda install -c conda-forge libglib -y & conda update -n base conda -y\n", + "!git clone --depth 1 https://github.com/dreamscapeai/stable-diffusion-webui\n", + "%cd ~/stable-diffusion-webui\n", + "!git pull\n", + "\n", + "!mkdir /home/studio-lab-user/stable-diffusion-webui/outputs\n", + "\n", + "%cd /home/studio-lab-user/stable-diffusion-webui/embeddings\n", + "!git clone --depth 1 https://github.com/dreamscapeai/negativekit\n", + "\n", + "%cd /home/studio-lab-user/stable-diffusion-webui/extensions\n", + "!git clone --depth 1 https://github.com/etherealxx/batchlinks-webui\n", + "!git clone --depth 1 https://github.com/zanllp/sd-webui-infinite-image-browsing\n", + "!git clone --depth 1 https://github.com/dreamscapeai/CN-v11400\n", + "!git clone --depth 1 https://github.com/dreamscapeai/adetailer\n", + "!git clone --depth 1 https://github.com/dreamscapeai/ultimatesdupscale\n", + "!git clone --depth 1 https://github.com/dreamscapeai/tagcomplete\n", + "!git clone --depth 1 https://github.com/hako-mikan/sd-webui-regional-prompter\n", + "!git clone --depth 1 https://github.com/ashen-sensored/stable-diffusion-webui-two-shot\n", + "!git clone --depth 1 https://github.com/ashen-sensored/stable-diffusion-webui-composable-lora\n", + "\n", + "#Loras\n", + "!mkdir /home/studio-lab-user/stable-diffusion-webui/models/Lora\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Lora/add_detail.safetensors\" \"https://civitai.com/api/download/models/62833\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/embeddings/UnrealisticDream.pt\" \"https://civitai.com/api/download/models/77173?type=Model&format=PickleTensor\"\n" + ] + }, + { + "cell_type": "markdown", + "id": "0c18d664-3e44-45a6-a25c-8402e590e5b7", + "metadata": {}, + "source": [ + "#lora\n", + "https://civitai.com/models/50847?modelVersionId=55363\n", + "#lora\n", + "https://civitai.com/models/9502/megumin-konosuba" + ] + }, + { + "cell_type": "markdown", + "id": "9c02e956-5769-4be9-96e9-fea479706e91", + "metadata": {}, + "source": [ + "BOOT LAUNCHER " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "9ea3ea45-056c-4863-a06a-3f7422bf7e20", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/home/studio-lab-user/stable-diffusion-webui\n", + "fatal: No names found, cannot describe anything.\n", + "Python 3.9.16 | packaged by conda-forge | (main, Feb 1 2023, 21:39:03) \n", + "[GCC 11.3.0]\n", + "Version: 1.6.0\n", + "Commit hash: 9f38672ea51e599e63c2b61b383d671815f804a9\n", + "Launching Web UI with arguments: --listen --xformers --enable-insecure-extension-access --theme dark --gradio-queue --disable-safe-unpickle --ngrok 2PuYOpDmc1VAfpFX8nWrV0wRHAg_kXyGy5pntWhCJyuJ4ViB\n", + "ngrok authtoken detected, trying to connect...\n", + "ngrok connected to localhost:7860! URL: https://6d24-3-136-172-40.ngrok-free.app\n", + "You can use this link after the launch is complete.\n", + "2023-09-25 03:19:27,744 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.410\n", + "ControlNet preprocessor location: /home/studio-lab-user/stable-diffusion-webui/extensions/CN-v11400/annotator/downloads\n", + "2023-09-25 03:19:27,939 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.410\n", + "\u001b[1m[\u001b[0m-\u001b[1m]\u001b[0m ADetailer initialized. version: \u001b[1;36m23.8\u001b[0m.\u001b[1;36m1\u001b[0m, num models: \u001b[1;36m9\u001b[0m\n", + "Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.\n", + "Loading weights [5b9c870a30] from /home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/counterfeitV30Fp16_30.safetensors\n", + "/home/studio-lab-user/stable-diffusion-webui/extensions/stable-diffusion-webui-two-shot/scripts/two_shot.py:397: GradioDeprecationWarning: The `style` method is deprecated. Please set these arguments in the constructor instead.\n", + " canvas_image = gr.Image(source='upload', mirror_webcam=False, type='numpy', tool='color-sketch',\n", + "/home/studio-lab-user/stable-diffusion-webui/extensions/stable-diffusion-webui-two-shot/scripts/two_shot.py:471: GradioDeprecationWarning: The `style` method is deprecated. Please set these arguments in the constructor instead.\n", + " visual_regions = gr.Gallery(label=\"Regions\").style(grid=(4, 4, 4, 8), height=\"auto\")\n", + "/home/studio-lab-user/stable-diffusion-webui/extensions/stable-diffusion-webui-two-shot/scripts/two_shot.py:471: GradioDeprecationWarning: The 'grid' parameter will be deprecated. Please use 'columns' in the constructor instead.\n", + " visual_regions = gr.Gallery(label=\"Regions\").style(grid=(4, 4, 4, 8), height=\"auto\")\n", + "Running on local URL: http://0.0.0.0:7860\n", + "\n", + "To create a public link, set `share=True` in `launch()`.\n", + "Startup time: 19.5s (prepare environment: 2.9s, import torch: 3.3s, import gradio: 1.0s, setup paths: 1.3s, initialize shared: 0.2s, other imports: 0.9s, load scripts: 8.6s, create ui: 1.0s, gradio launch: 0.2s).\n", + "Creating model from config: /home/studio-lab-user/stable-diffusion-webui/configs/v1-inference.yaml\n", + "Applying attention optimization: xformers... done.\n", + "Model loaded in 7.5s (load weights from disk: 1.4s, create model: 0.5s, apply weights to model: 4.8s, calculate empty prompt: 0.7s).\n", + "[1] [[1.0, 1.0]]\n", + "[1] [[1.0, 1.0]]\n", + "1,1 0.4 Horizontal\n", + "Regional Prompter Active, Pos tokens : [80, 88], Neg tokens : [74]\n", + "\n", + " 0%| | 0/40 [00:00\n", + "\n", + "# Thread: AnyIO worker thread(139974204708608)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 937, in _bootstrap\n", + " self._bootstrap_inner()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 980, in _bootstrap_inner\n", + " self.run()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/anyio/_backends/_asyncio.py\", line 797, in run\n", + " item = self.queue.get()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/queue.py\", line 171, in get\n", + " self.not_empty.wait()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 312, in wait\n", + " waiter.acquire()\n", + "\n", + "# Thread: Thread-5(139975488956160)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 937, in _bootstrap\n", + " self._bootstrap_inner()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 980, in _bootstrap_inner\n", + " self.run()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/tqdm/_monitor.py\", line 60, in run\n", + " self.was_killed.wait(self.sleep_interval)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 581, in wait\n", + " signaled = self._cond.wait(timeout)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 316, in wait\n", + " gotit = waiter.acquire(True, timeout)\n", + "\n", + "# Thread: asyncio_0(139972940130048)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 937, in _bootstrap\n", + " self._bootstrap_inner()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 980, in _bootstrap_inner\n", + " self.run()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 917, in run\n", + " self._target(*self._args, **self._kwargs)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/concurrent/futures/thread.py\", line 81, in _worker\n", + " work_item = work_queue.get(block=True)\n", + "\n", + "# Thread: Thread-4(139974729004800)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 937, in _bootstrap\n", + " self._bootstrap_inner()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 980, in _bootstrap_inner\n", + " self.run()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 917, in run\n", + " self._target(*self._args, **self._kwargs)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/uvicorn/server.py\", line 61, in run\n", + " return asyncio.run(self.serve(sockets=sockets))\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/asyncio/runners.py\", line 44, in run\n", + " return loop.run_until_complete(main)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/asyncio/base_events.py\", line 634, in run_until_complete\n", + " self.run_forever()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/asyncio/base_events.py\", line 601, in run_forever\n", + " self._run_once()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/asyncio/base_events.py\", line 1869, in _run_once\n", + " event_list = self._selector.select(timeout)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/selectors.py\", line 469, in select\n", + " fd_event_list = self._selector.poll(timeout, max_ev)\n", + "\n", + "# Thread: MemMon(139977026516736)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 937, in _bootstrap\n", + " self._bootstrap_inner()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 980, in _bootstrap_inner\n", + " self.run()\n", + "File: \"/home/studio-lab-user/stable-diffusion-webui/modules/memmon.py\", line 41, in run\n", + " self.run_flag.wait()\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 581, in wait\n", + " signaled = self._cond.wait(timeout)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 312, in wait\n", + " waiter.acquire()\n", + "\n", + "# Thread: MainThread(139979647465280)\n", + "File: \"/home/studio-lab-user/stable-diffusion-webui/launch.py\", line 48, in \n", + " main()\n", + "File: \"/home/studio-lab-user/stable-diffusion-webui/launch.py\", line 44, in main\n", + " start()\n", + "File: \"/home/studio-lab-user/stable-diffusion-webui/modules/launch_utils.py\", line 436, in start\n", + " webui.webui()\n", + "File: \"/home/studio-lab-user/stable-diffusion-webui/webui.py\", line 126, in webui\n", + " server_command = shared.state.wait_for_server_command(timeout=5)\n", + "File: \"/home/studio-lab-user/stable-diffusion-webui/modules/shared_state.py\", line 62, in wait_for_server_command\n", + " if self._server_command_signal.wait(timeout):\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 581, in wait\n", + " signaled = self._cond.wait(timeout)\n", + "File: \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/threading.py\", line 316, in wait\n", + " gotit = waiter.acquire(True, timeout)\n", + "File: \"/home/studio-lab-user/stable-diffusion-webui/modules/initialize_util.py\", line 156, in sigint_handler\n", + " dumpstacks()\n", + "File: \"/home/studio-lab-user/stable-diffusion-webui/modules/initialize_util.py\", line 143, in dumpstacks\n", + " for filename, lineno, name, line in traceback.extract_stack(stack):\n" + ] + } + ], + "source": [ + "#Don't forget to paste your NGROK token here\n", + "%cd ~/stable-diffusion-webui\n", + "!python launch.py --listen --xformers --enable-insecure-extension-access --theme dark --gradio-queue --disable-safe-unpickle --ngrok 2PuYOpDmc1VAfpFX8nWrV0wRHAg_kXyGy5pntWhCJyuJ4ViB" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "066b9af7-9681-411c-a563-28c7b9a7b515", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 515 0 515 0 0 370 0 --:--:-- 0:00:01 --:--:-- 370\n", + " 47 2033M 47 966M 0 0 4728k 0 0:07:20 0:03:29 0:03:51 2898k 0 0:01:25 0:00:05 0:01:20 31.5M 0 0:04:36 0:00:42 0:03:54 2395k 0 0:06:21 0:01:19 0:05:02 3271k9 0:03:28 0:03:51 2815k\n", + "curl: (18) transfer closed with 1119701228 bytes remaining to read\n", + " % Total % Received % Xferd Average Speed Time Time Time 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Left Speed\n", + "100 527 0 527 0 0 525 0 --:--:-- 0:00:01 --:--:-- 525\n", + "100 9331k 100 9331k 0 0 6110k 0 0:00:01 0:00:01 --:--:-- 284M\n", + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 513 0 513 0 0 757 0 --:--:-- --:--:-- --:--:-- 757\n", + "100 77.7M 100 77.7M 0 0 14.2M 0 0:00:05 0:00:05 --:--:-- 16.9M\n", + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 512 0 512 0 0 256 0 --:--:-- 0:00:01 --:--:-- 256\n", + "100 165M 100 165M 0 0 5839k 0 0:00:29 0:00:29 --:--:-- 2761k\n", + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 487 0 487 0 0 888 0 --:--:-- --:--:-- --:--:-- 888\n", + "100 50106 100 50106 0 0 55673 0 --:--:-- --:--:-- --:--:-- 55673\n", + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 483 0 483 0 0 293 0 --:--:-- 0:00:01 --:--:-- 293\n", + "100 53108 100 53108 0 0 27123 0 0:00:01 0:00:01 --:--:-- 5653k\n", + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 479 0 479 0 0 221 0 --:--:-- 0:00:02 --:--:-- 221\n", + "100 28526 100 28526 0 0 10921 0 0:00:02 0:00:02 --:--:-- 10921\n", + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 483 0 483 0 0 542 0 --:--:-- --:--:-- --:--:-- 541\n", + "100 50036 100 50036 0 0 41906 0 0:00:01 0:00:01 --:--:-- 488k\n", + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 483 0 483 0 0 228 0 --:--:-- 0:00:02 --:--:-- 228\n", + "100 46964 100 46964 0 0 19414 0 0:00:02 0:00:02 --:--:-- 19414\n" + ] + } + ], + "source": [ + "#modelos\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/epicrealism_naturalSin.safetensors\" \"https://civitai.com/api/download/models/160989?type=Model&format=SafeTensor&size=pruned&fp=fp16\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/analogMadness_v60.safetensors\" \"https://civitai.com/api/download/models/160495?type=Model&format=SafeTensor&size=pruned&fp=fp16\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/aZovyaRPGArtistTools_v3.safetensors\" \"https://civitai.com/api/download/models/79290\"\n", + "#!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/uberRealisticPornMerge_urpmv13.safetensors\" \"https://civitai.com/api/download/models/15640\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/chilloutmix_NiPrunedFp16Fix.safetensors\" \"https://civitai.com/api/download/models/11732\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/meinamix_meinaV11.safetensors\" \"https://civitai.com/api/download/models/119057?type=Model&format=SafeTensor&size=pruned&fp=fp16\"\n", + "#!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/counterfeitV30Fp16_30.safetensors\" \"https://civitai.com/api/download/models/125050\"\n", + "\n", + "#Loras\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Lora/epiCRealismHelper.safetensors\" \"https://civitai.com/api/download/models/118945?type=Model&format=SafeTensor\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Lora/LowRA.safetensors\" \"https://civitai.com/api/download/models/63006\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Lora/CthulhuMythosArtbook-06.safetensors\" \"https://civitai.com/api/download/models/154059?type=Model&format=SafeTensor\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Lora/epi_noiseoffset2.safetensors\" \"https://civitai.com/api/download/models/16576?type=Model&format=SafeTensor&size=full&fp=fp16\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Lora/Adventurers_v20.safetensors\" \"https://civitai.com/api/download/models/124691\"\n", + "\n", + "#embeddings\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/embeddings/AS-YoungerV2.pt\" \"https://civitai.com/api/download/models/95275\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/embeddings/AS-YoungV2.pt\" \"https://civitai.com/api/download/models/94703\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/embeddings/AS-Adult.pt\" \"https://civitai.com/api/download/models/75443\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/embeddings/AS-MidAged.pt\" \"https://civitai.com/api/download/models/75557\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/embeddings/AS-Elderly.pt\" \"https://civitai.com/api/download/models/77257\"\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ba0d235b-08f8-4d36-b8ad-a52ba3773170", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 1187 100 1187 0 0 30435 0 --:--:-- --:--:-- --:--:-- 30435\n", + "100 689M 100 689M 0 0 162M 0 0:00:04 0:00:04 --:--:-- 153M\n" + ] + } + ], + "source": [ + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/extensions/CN-v11400/models/openpose.safetensors\" \"https://huggingface.co./ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_openpose_fp16.safetensors\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "72f11b17-b1f8-4568-bc50-8fd78e4991ed", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cloning into '/home/studio-lab-user/stable-diffusion-webui/models/ESRGAN/4x'...\n", + "remote: Enumerating objects: 10, done.\u001b[K\n", + "remote: Total 10 (delta 0), reused 0 (delta 0), pack-reused 10\u001b[K\n", + "Unpacking objects: 100% (10/10), 1.27 KiB | 1.27 MiB/s, done.\n", + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + " 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n", + "100 4580 0 4580 0 0 6034 0 --:--:-- --:--:-- --:--:-- 61891\n", + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + " 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n", + "100 4580 0 4580 0 0 6317 0 --:--:-- --:--:-- --:--:-- 53255\n" + ] + } + ], + "source": [ + "!git clone https://huggingface.co./nolanaatama/ESRGAN /home/studio-lab-user/stable-diffusion-webui/models/ESRGAN/\"4x\"\n", + "\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/ESRGAN/4x_NMKD-Superscale-SP_178000_G.pth\" \"https://icecube-eu-286.icedrive.io/download?p=HQGDvX2ySAj1TLQPFbqGq6Yekz4sZtW9LnSKzuL_sV0S7QejmA6yJAE9WK_uOVx4B.2EQkV2AjhbopISfrZQakFWwg9lsYtqHvDO0zGXZSc622lDGKuL46IGnAeJ1JOIyGzi9rqrnLfp05ZVUngM1zFMVau9IpneqDz4MKIrHLGREUjV1m5KtiayJBEG77OP207Hg_BbwO3MQqFRxHxeLW7KkfYzDnQvJUUDHg_.Q08-\"\n", + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/ESRGAN/8x_NMKD-Superscale_150000_G.pth\" \"https://icecube-eu-286.icedrive.io/download?p=HQGDvX2ySAj1TLQPFbqGq6Yekz4sZtW9LnSKzuL_sV0.hewQ706SaIhk7lSe0y__B.2EQkV2AjhbopISfrZQakFWwg9lsYtqHvDO0zGXZSdcMOwQcUGWT1Zz89h.bzuE6kHnd0AV8ehoUcW7WQlM_M.QgnRsxC6ncOV99qLFVioHdQRr7DXT1YL0MA87LtDCLJqkHZD8rczLen8twcloeuuzUBXdcViipJ5zwAgLHWQ-\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "fdeece9b-7e0a-4c93-aec2-6d96b95cdc84", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "#download and compress all outputs. If more than 200mb, it will zip in multiple files.\n", + "import os\n", + "import zipfile\n", + "def zip_folder(input_folder, output_folder, max_size_mb=20):\n", + " # Create the output folder if it doesn't exist\n", + " os.makedirs(output_folder, exist_ok=True)\n", + " zip_number = 1\n", + " current_zip_size = 0\n", + " current_zip_name = os.path.join(output_folder, f\"part_{zip_number}.zip\") \n", + " with zipfile.ZipFile(current_zip_name, 'w', zipfile.ZIP_DEFLATED) as current_zip:\n", + " for root, _, files in os.walk(input_folder):\n", + " for file in files:\n", + " file_path = os.path.join(root, file)\n", + " file_size = os.path.getsize(file_path) \n", + " # Check if adding the current file exceeds the max size\n", + " if current_zip_size + file_size > max_size_mb * 1024 * 1024:\n", + " # Close the current zip file\n", + " current_zip.close() \n", + " # Start a new zip file\n", + " zip_number += 1\n", + " current_zip_name = os.path.join(output_folder, f\"part_{zip_number}.zip\")\n", + " current_zip = zipfile.ZipFile(current_zip_name, 'w', zipfile.ZIP_DEFLATED)\n", + " current_zip_size = 0 \n", + " # Add the file to the current zip\n", + " current_zip.write(file_path, os.path.relpath(file_path, input_folder))\n", + " current_zip_size += file_size\n", + "# Specify the input folder to be zipped\n", + "input_folder = 'stable-diffusion-webui/outputs/txt2img-images' # Replace with the path to your input folder\n", + "# Specify the output folder where zip files will be saved\n", + "output_folder = 'zip folder' # Replace with the path to your output folder\n", + "# Specify the maximum size for each zip file in MB\n", + "max_size_mb = 200\n", + "# Create zip files with a maximum size of 20MB\n", + "zip_folder(input_folder, output_folder, max_size_mb)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "22a873d7-8992-4155-9d6b-b3bc97e07cd7", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 512 0 512 0 0 250 0 --:--:-- 0:00:02 --:--:-- 250\n", + "100 2033M 100 2033M 0 0 4231k 0 0:08:12 0:08:12 --:--:-- 5425k\n" + ] + } + ], + "source": [ + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/meinamix_meinaV11.safetensors\" \"https://civitai.com/api/download/models/119057?type=Model&format=SafeTensor&size=pruned&fp=fp16\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "439692fe-f99d-4703-aa6d-27a8bcc8a775", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Filesystem Size Used Avail Use% Mounted on\n", + "/dev/nvme2n1 25G 21G 4.5G 83% /home/studio-lab-user\n" + ] + } + ], + "source": [ + "#Checkear Almacenamiento\n", + "!df -h | grep -E 'Avail|home'" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "b8a56c3a-f0af-4c87-bf83-c99942a3a3b0", + "metadata": {}, + "outputs": [], + "source": [ + "#delete and empty the OUTPUT folder\n", + "!rm -rf /home/studio-lab-user/stable-diffusion-webui/outputs/*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8ac13a1e-906a-4da8-b98b-0e300ab5b8b4", + "metadata": {}, + "outputs": [], + "source": [ + "#delete and empty the MODELS folder\n", + "!rm -rf /home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/*" + ] + }, + { + "cell_type": "markdown", + "id": "1c518ead-677f-42f0-a67f-1d30327fec10", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "id": "1d0a3313-0c65-44ef-b89e-459fa779e84b", + "metadata": {}, + "source": [ + "START CLEAN EVERYTHING ONLY IF YOU HAVE ERROR" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "5ad6a08b-34a4-4a73-b618-38715a895bd2", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Filesystem Size Used Avail Use% Mounted on\n", + "/dev/nvme1n1 25G 20G 5.4G 79% /home/studio-lab-user\n" + ] + } + ], + "source": [ + "#Check the storage available (if storage full, can cause problem)\n", + "!df -h | grep -E 'Avail|home'" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "aaea3473-1ac6-40d8-98c2-a29386ca147e", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\t/home/studio-lab-user/.sagemaker\n", + "24K\t/home/studio-lab-user/.jupyter\n", + "80K\t/home/studio-lab-user/.local\n", + "88K\t/home/studio-lab-user/.ipython\n", + "12K\t/home/studio-lab-user/.ipynb_checkpoints\n", + "4.1G\t/home/studio-lab-user/.conda\n", + "15G\t/home/studio-lab-user/stable-diffusion-webui\n", + "6.1G\t/home/studio-lab-user/.cache\n", + "25G\t/home/studio-lab-user\n" + ] + } + ], + "source": [ + "#List all folders and sizes\n", + "!du -h --max-depth=1 /home/studio-lab-user" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ab02c781-46ea-4f07-8c4b-f329069d903b", + "metadata": {}, + "outputs": [], + "source": [ + "#clean remove all env, cache and file\n", + "!rm -r /home/studio-lab-user/.cache\n", + "!rm -r /home/studio-lab-user/.conda\n", + "!conda remove -n \"env_name\" --all\n", + "!rm -rf /home/studio-lab-user/*" + ] + }, + { + "cell_type": "markdown", + "id": "baaf8967-78f3-4b63-9427-313bffa67a93", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "id": "bf5499c3-18fb-4325-8c37-5298751e4f97", + "metadata": {}, + "source": [ + "BELOW ONLY FOR TROUBLESHOOTING" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38f3b678-ce14-47c8-b8ca-5b2295fc628c", + "metadata": {}, + "outputs": [], + "source": [ + "%cd ~/stable-diffusion-webui\n", + "!pip install -r requirements.txt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c7131fd-9ce7-4c3c-861c-a3acc252c086", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "%cd ~/stable-diffusion-webui\n", + "!python launch.py --listen --xformers --enable-insecure-extension-access --theme dark --ngrok auth" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5bb61644-e972-402e-aff6-c6445ff99965", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import torch\n", + "torch.cuda.get_device_name(0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d6a8c055-4668-40cd-aa41-8bc6474c9ff0", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import torch\n", + "print(torch.version.cuda)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b3f9867-000e-43f4-9b04-ae5c0d9166bd", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "!pip uninstall torchvision -y" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2d990595-7f34-4946-9a21-197306222434", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "!pip install torchvision==0.10.0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5b85fa10-c03f-4942-a227-02d1cbe90f4a", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "!pip install torch==1.10.0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "abc7178a-c5b7-4722-8e9e-728308d83d70", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "!pip install xformers==0.0.20 tomesd==0.1.3 pytorch-lightning==1.9.4 accelerate==0.21.0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "577b9843-0e8c-4dd8-aa02-8eaf8c51f1d8", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "!conda install -c conda-forge libglib -y" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f24321a3-700a-47e9-8995-0893dd2f834f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 512 0 512 0 0 273 0 --:--:-- 0:00:01 --:--:-- 273\n", + " 40 2033M 40 815M 0 0 4826k 0 0:07:11 0:02:52 0:04:19 3607k9M 0 0 7175k 0 0:04:50 0:00:39 0:04:11 3601k3M 15 314M 0 0 6717k 0 0:05:10 0:00:47 0:04:23 4630k 0 5293k 0 0:06:33 0:02:10 0:04:23 2134k" + ] + } + ], + "source": [ + "!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/meinamix_meinaV11.safetensors\" \"https://civitai.com/api/download/models/119057?type=Model&format=SafeTensor&size=pruned&fp=fp16\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c4ac849a-62bb-4bb9-9b5c-8c9bc68baf1e", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "default:Python", + "language": "python", + "name": "conda-env-default-py" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}