{
"cells": [
{
"cell_type": "markdown",
"id": "23bf0d68-cd40-4803-bf04-7ede3e53b524",
"metadata": {},
"source": [
"SDXL Models - Dreamscape Notebook 1.9\n",
"Follow tutorial on my Youtube Channel. Join our Discord Community for support."
]
},
{
"cell_type": "markdown",
"id": "e4dd09f1-eb19-4fd1-ae06-fc8c604366fb",
"metadata": {
"tags": []
},
"source": [
"🧼 Step 1. Fresh Clean Environments (launch if it's your first start)
\n",
"If you have a healthy and working install, SKIP to STEP 3. This can be launched in CPU mode."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ea5bcd71-2b71-4d27-90c1-053444ef33f0",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"!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": "f05fa0e9-8141-471e-a9a5-b12cc04a9c94",
"metadata": {},
"source": [
"☢️*Your Browser Panel (on the left) should be empty.*
\n",
"☢️You need to restart the Jupyter Lab now (before running next cell)."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c55242c5-3887-4dd4-a384-0b480b0d11f1",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import subprocess\n",
"\n",
"# Run the command and capture the output\n",
"result = subprocess.run(['du', '-h', '--max-depth=1', '/home/studio-lab-user'], capture_output=True, text=True)\n",
"\n",
"# Check if the desired line is present in the output\n",
"if '1.1G\\t/home/studio-lab-user/.conda' in result.stdout:\n",
" print(\"Ok, your conda is clean (1.1GB) please continue with Step 2\")"
]
},
{
"cell_type": "markdown",
"id": "af2f3f5b-f9ba-4221-92fa-126600e39d9b",
"metadata": {
"tags": []
},
"source": [
"🔥 Step 2. Install essentials (launch if it's your first start)
\n",
"This will install essentials. This can be launched in CPU mode. Be patient it might take a while."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7ad40e45-9797-4188-be16-2e6c4d218ddc",
"metadata": {
"scrolled": true,
"tags": []
},
"outputs": [],
"source": [
"#Install all essentials for stable diffusion\n",
"!conda install -c conda-forge libglib -y & conda update -n base conda -y\n",
"%conda install -q -y aria2\n",
"%conda install -q -y libglib2.0-0\n",
"%conda install -q -y glib\n",
"%cd /home/studio-lab-user/\n",
"!git clone --depth 1 https://github.com/AUTOMATIC1111/stable-diffusion-webui\n",
"%cd /home/studio-lab-user/stable-diffusion-webui/embeddings\n",
"!git clone --depth 1 https://github.com/dreamscapeai/negativekit\n",
"%cd /home/studio-lab-user/stable-diffusion-webui/extensions\n",
"!git clone --depth 1 https://github.com/ahgsql/StyleSelectorXL\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/ultimatesdupscale\n",
"!git clone --depth 1 https://github.com/dreamscapeai/tagcomplete\n",
"!git clone --depth 1 https://github.com/IDEA-Research/DWPose\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/Ysb321/roooop\n",
"!git clone --depth 1 https://github.com/Ysb321/sd-artists-ui-tweak\n",
"!git clone --depth 1 https://github.com/Ysb321/sd-model-downloader"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3811c75f-0d9f-4b42-84e4-1d304530caf6",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"%cd /home/studio-lab-user/stable-diffusion-webui/extensions\n",
"!git clone --depth 1 https://github.com/Gourieff/sd-webui-reactor"
]
},
{
"cell_type": "markdown",
"id": "2f8db6a2-a6f2-49aa-8037-c591a378c4af",
"metadata": {
"tags": []
},
"source": [
"💾 Step 3. Downloads Models and Checkpoints
\n",
"The model are downloaded in tmp folder, which will be emptied at every new runtime. This MUST be launched in GPU MODE."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7264a7c8-4386-4996-8da7-babb387770d6",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"!rm -rf /home/studio-lab-user/tmp\n",
"!rm -rf /home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/tmp_models\n",
"!ln -vs /tmp ~/tmp\n",
"!ln -vs /tmp/models /home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/tmp_models\n",
"!mkdir -p /tmp/models\n",
"%cd ~/stable-diffusion-webui/models/Stable-diffusion/\n",
"!aria2c https://civitai.com/api/download/models/130121?type=Model&format=SafeTensor&size=pruned&fp=fp16\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://civitai.com/api/download/models/127416?type=Model&format=SafeTensor&size=pruned&fp=fp16\n",
"%cd ~/stable-diffusion-webui/models/VAE\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://github.com/Ysb321/supper/releases/download/vae/vae-ft-mse-840000-ema-pruned.vae.pt"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f737271e-bc08-4eb8-9cd3-beff93103067",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# For Lora url\n",
"\n",
"%cd /home/studio-lab-user/stable-diffusion-webui/models/Lora\n",
"import requests\n",
"\n",
"# Define a list of URLs to download\n",
"urls = [\n",
" 'https://civitai.com/api/download/models/61160?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/146600?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/182772?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/186168?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/182038?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/32066?type=Model&format=SafeTensor&size=full&fp=fp16',\n",
" 'https://civitai.com/api/download/models/55644?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/149622?type=Model&format=SafeTensor',\n",
" 'https://example.com/file3.pdf'\n",
"]\n",
"\n",
"# Loop through the URLs and download each file\n",
"for url in urls:\n",
" response = requests.get(url)\n",
" if 'content-disposition' in response.headers:\n",
" filename = response.headers.get('content-disposition').split('filename=')[1].strip('\"')\n",
" with open(filename, 'wb') as f:\n",
" f.write(response.content)\n",
" else:\n",
" print(f'Error: Content-Disposition header not found for {url}')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6701a25f-3fbd-46b5-b880-65a1789c4761",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# For Lora url\n",
"\n",
"%cd /home/studio-lab-user/stable-diffusion-webui/models/Lora\n",
"import requests\n",
"\n",
"# Define a list of URLs to download\n",
"urls = [\n",
" 'https://civitai.com/api/download/models/53452?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/45030?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/47342?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/45019?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/48351?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/50931?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/96186?type=Model&format=SafeTensor',\n",
" 'https://civitai.com/api/download/models/67464?type=Model&format=SafeTensor'\n",
"]\n",
"\n",
"# Loop through the URLs and download each file\n",
"for url in urls:\n",
" response = requests.get(url)\n",
" if 'content-disposition' in response.headers:\n",
" filename = response.headers.get('content-disposition').split('filename=')[1].strip('\"')\n",
" with open(filename, 'wb') as f:\n",
" f.write(response.content)\n",
" else:\n",
" print(f'Error: Content-Disposition header not found for {url}')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1e0609ad-d797-4222-8390-65902e00dbe7",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"%cd /home/studio-lab-user/stable-diffusion-webui/models/\n",
"!mkdir -p Stable-diffusion\n",
"%cd /home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion\n",
"import requests\n",
"\n",
"# Define a list of URLs to download\n",
"urls = [\n",
" 'https://civitai.com/api/download/models/178879?type=Model&format=SafeTensor&size=pruned&fp=fp16'\n",
"]\n",
"\n",
"# Loop through the URLs and download each file\n",
"for url in urls:\n",
" response = requests.get(url)\n",
" if 'content-disposition' in response.headers:\n",
" filename = response.headers.get('content-disposition').split('filename=')[1].strip('\"')\n",
" with open(filename, 'wb') as f:\n",
" f.write(response.content)\n",
" else:\n",
" print(f'Error: Content-Disposition header not found for {url}')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d04c62cc-fda7-427c-80cd-5c158b9b22b8",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"%cd ~/stable-diffusion-webui/models/Stable-diffusion/\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://civitai.com/api/download/models/178879?type=Model&format=SafeTensor&size=pruned&fp=fp16"
]
},
{
"cell_type": "markdown",
"id": "6a87cf1c-7b77-4618-9576-c7e4181dde49",
"metadata": {
"tags": []
},
"source": [
"🌟 Step 4. BOOT LAUNCHER WEBUI (MUST BE in GPU Mode)
\n",
"Don't forget to paste your NGROK token below. Create one token here https://dashboard.ngrok.com/get-started/your-authtoken"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "42129da6-cb4d-48c6-af2f-1e803a511634",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "2b6ce256-5678-4521-b473-4d5f2c121da5",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"%cd /tmp\n",
"!wget https://github.com/openziti/zrok/releases/download/v0.4.23/zrok_0.4.23_linux_amd64.tar.gz\n",
"!mkdir /tmp/zrok\n",
"!tar -xf ./zrok*linux*.tar.gz -C /tmp/zrok\n",
"!mkdir -p /tmp/zrok/bin && install /tmp/zrok/zrok /tmp/zrok/bin\n",
"import os\n",
"os.environ['PATH'] = \"/tmp/zrok/bin:\" + os.environ['PATH']\n",
"!zrok version"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a8c824f7-4868-43b8-9980-a7dad6110bb2",
"metadata": {},
"outputs": [],
"source": [
"#Only launch this command in the terminal\n",
"export PATH=$PATH:/tmp/zrok/bin\n",
"zrok invite"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1e99ecb3-ed61-4503-a1a0-5d9f1688cb66",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"!zrok enable 4wJsCtYsgeDT"
]
},
{
"cell_type": "markdown",
"id": "97b1e0b7-ff3e-4d35-8a83-05a09c682048",
"metadata": {},
"source": [
"RUN BOTTOM Cell"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a21a9399-21a2-4529-be7a-f0440a867ce6",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"%cd ~/stable-diffusion-webui\n",
"from multiprocessing import Process\n",
"import time\n",
"\n",
"def run_command1():\n",
"# time.sleep(15)\n",
" !zrok share public http://localhost:7860 --headless\n",
"\n",
"def run_command2():\n",
" time.sleep(2)\n",
" !python launch.py --listen --xformers --enable-insecure-extension-access --theme dark --gradio-queue\n",
"\n",
"if __name__ == '__main__':\n",
" p1 = Process(target=run_command1)\n",
" p2 = Process(target=run_command2)\n",
" p1.start()\n",
" p2.start()\n",
" p1.join()\n",
" p2.join()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "e257f61c-7aa2-44b6-8641-efb4285ac844",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 103.808] INFO main.(*sharePublicCommand).run: [] -> GET /assets/index-ceec2f2d.js\n",
"[ 103.814] INFO main.(*sharePublicCommand).run: [] -> GET /assets/index-7c64fb49.js\n",
"[ 109.841] INFO main.(*sharePublicCommand).run: [] -> POST /run/predict\n",
"[ 109.845] INFO main.(*sharePublicCommand).run: [] -> POST /run/predict\n",
"[ 109.852] INFO main.(*sharePublicCommand).run: [] -> POST /run/predict\n",
"[ 109.856] INFO main.(*sharePublicCommand).run: [] -> POST /run/predict\n",
"[ 110.130] INFO main.(*sharePublicCommand).run: [] -> POST /run/predict\n",
"[ 110.485] INFO main.(*sharePublicCommand).run: [] -> GET /queue/join\n",
"[ 111.391] INFO main.(*sharePublicCommand).run: [] -> GET /infinite_image_browsing/fe-static/assets/index-4399f518.js\n",
"[ 111.399] INFO main.(*sharePublicCommand).run: [] -> GET /infinite_image_browsing/fe-static/assets/index-896679b3.css\n",
"[ 111.473] INFO main.(*sharePublicCommand).run: [] -> GET /queue/join\n",
"[ 114.062] INFO main.(*sharePublicCommand).run: [] -> GET /queue/join\n",
"Traceback (most recent call last):\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/gradio/routes.py\", line 488, in run_predict\n",
" output = await app.get_blocks().process_api(\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/gradio/blocks.py\", line 1431, in process_api\n",
" result = await self.call_function(\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/gradio/blocks.py\", line 1103, in call_function\n",
" prediction = await anyio.to_thread.run_sync(\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/anyio/to_thread.py\", line 33, in run_sync\n",
" return await get_asynclib().run_sync_in_worker_thread(\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/anyio/_backends/_asyncio.py\", line 877, in run_sync_in_worker_thread\n",
" return await future\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/anyio/_backends/_asyncio.py\", line 807, in run\n",
" result = context.run(func, *args)\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/gradio/utils.py\", line 707, in wrapper\n",
" response = f(*args, **kwargs)\n",
" File \"/home/studio-lab-user/stable-diffusion-webui/modules/ui_extra_networks.py\", line 419, in pages_html\n",
" return refresh()\n",
" File \"/home/studio-lab-user/stable-diffusion-webui/modules/ui_extra_networks.py\", line 425, in refresh\n",
" pg.refresh()\n",
" File \"/home/studio-lab-user/stable-diffusion-webui/modules/ui_extra_networks_textual_inversion.py\", line 13, in refresh\n",
" sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings(force_reload=True)\n",
" File \"/home/studio-lab-user/stable-diffusion-webui/modules/textual_inversion/textual_inversion.py\", line 222, in load_textual_inversion_embeddings\n",
" self.expected_shape = self.get_expected_shape()\n",
" File \"/home/studio-lab-user/stable-diffusion-webui/modules/textual_inversion/textual_inversion.py\", line 154, in get_expected_shape\n",
" vec = shared.sd_model.cond_stage_model.encode_embedding_init_text(\",\", 1)\n",
"AttributeError: 'NoneType' object has no attribute 'cond_stage_model'\n",
"[ 115.041] INFO main.(*sharePublicCommand).run: [] -> GET /queue/join\n",
"[ 115.070] INFO main.(*sharePublicCommand).run: [] -> GET /infinite_image_browsing/fe-static/assets/db-ccfd5d0c.js\n",
"[ 115.076] INFO main.(*sharePublicCommand).run: [] -> GET /infinite_image_browsing/fe-static/assets/emptyStartup-392c1d3a.js\n",
"[ 115.117] INFO main.(*sharePublicCommand).run: [] -> GET /infinite_image_browsing/global_setting\n",
"Traceback (most recent call last):\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/gradio/routes.py\", line 488, in run_predict\n",
" output = await app.get_blocks().process_api(\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/gradio/blocks.py\", line 1431, in process_api\n",
" result = await self.call_function(\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/gradio/blocks.py\", line 1103, in call_function\n",
" prediction = await anyio.to_thread.run_sync(\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/anyio/to_thread.py\", line 33, in run_sync\n",
" return await get_asynclib().run_sync_in_worker_thread(\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/anyio/_backends/_asyncio.py\", line 877, in run_sync_in_worker_thread\n",
" return await future\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/anyio/_backends/_asyncio.py\", line 807, in run\n",
" result = context.run(func, *args)\n",
" File \"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/gradio/utils.py\", line 707, in wrapper\n",
" response = f(*args, **kwargs)\n",
" File \"/home/studio-lab-user/stable-diffusion-webui/modules/ui_extra_networks.py\", line 419, in pages_html\n",
" return refresh()\n",
" File \"/home/studio-lab-user/stable-diffusion-webui/modules/ui_extra_networks.py\", line 425, in refresh\n",
" pg.refresh()\n",
" File \"/home/studio-lab-user/stable-diffusion-webui/modules/ui_extra_networks_textual_inversion.py\", line 13, in refresh\n",
" sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings(force_reload=True)\n",
" File \"/home/studio-lab-user/stable-diffusion-webui/modules/textual_inversion/textual_inversion.py\", line 222, in load_textual_inversion_embeddings\n",
" self.expected_shape = self.get_expected_shape()\n",
" File \"/home/studio-lab-user/stable-diffusion-webui/modules/textual_inversion/textual_inversion.py\", line 154, in get_expected_shape\n",
" vec = shared.sd_model.cond_stage_model.encode_embedding_init_text(\",\", 1)\n",
"AttributeError: 'NoneType' object has no attribute 'cond_stage_model'\n",
"[ 115.982] INFO main.(*sharePublicCommand).run: [] -> GET /queue/join\n",
"[ 116.616] INFO main.(*sharePublicCommand).run: [] -> POST /infinite_image_browsing/check_path_exists\n",
"[ 116.637] INFO main.(*sharePublicCommand).run: [] -> GET /infinite_image_browsing/fe-static/assets/emptyStartup-f9353e31.css\n",
"[ 117.226] INFO main.(*sharePublicCommand).run: [] -> GET /infinite_image_browsing/fe-static/assets/antd.dark-35e9b327.js\n",
"[ 120.826] INFO main.(*sharePublicCommand).run: [] -> GET /file=tmp/tagAutocompletePath.txt?1714837242268\n",
"[ 121.547] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/extra-quality-tags.csv?1714837242977\n",
"[ 121.897] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/e621.csv?1714837243340\n",
"[ 130.451] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/extra-quality-tags.csv?1714837251892\n",
"[ 130.799] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/demo-chants.json??1714837252250\n",
"[ 131.160] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/demo-chants.json??1714837252592\n",
"[ 131.511] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/temp/emb.txt?1714837252962\n",
"[ 131.870] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/temp/hyp.txt?1714837253308\n",
"[ 132.210] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/temp/lora.txt?1714837253660\n",
"[ 132.564] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/temp/lyco.txt?1714837254004\n",
"[ 132.904] INFO main.(*sharePublicCommand).run: [] -> GET /file=tmp/modelKeywordPath.txt?1714837254354\n",
"[ 133.247] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/temp/umi_tags.txt?1714837254692\n",
"[ 133.587] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/temp/wc.txt?1714837255039\n",
"[ 133.951] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/temp/wce.txt?1714837255376\n",
"[ 134.292] INFO main.(*sharePublicCommand).run: [] -> GET /file=/home/studio-lab-user/stable-diffusion-webui/extensions/tagcomplete/tags/temp/wc_yaml.json?1714837255744\n",
"[ 146.477] INFO main.(*sharePublicCommand).run: [] -> GET /file=/tmp/gradio/952f9b63cd937f0440f35dd204d7765471e81688/notification.mp3\n",
"[ 150.526] INFO main.(*sharePublicCommand).run: [] -> GET /queue/join\n"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m/tmp/ipykernel_141/1068629004.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 16\u001b[0m \u001b[0mp1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[0mp2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m \u001b[0mp1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 19\u001b[0m \u001b[0mp2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/.conda/envs/default/lib/python3.9/multiprocessing/process.py\u001b[0m in \u001b[0;36mjoin\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 147\u001b[0m \u001b[0;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parent_pid\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetpid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'can only join a child process'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 148\u001b[0m \u001b[0;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_popen\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'can only join a started process'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 149\u001b[0;31m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_popen\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 150\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mres\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 151\u001b[0m \u001b[0m_children\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdiscard\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/.conda/envs/default/lib/python3.9/multiprocessing/popen_fork.py\u001b[0m in \u001b[0;36mwait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 41\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 42\u001b[0m \u001b[0;31m# This shouldn't block if wait() returned successfully.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 43\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpoll\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mWNOHANG\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0.0\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 44\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreturncode\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 45\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/.conda/envs/default/lib/python3.9/multiprocessing/popen_fork.py\u001b[0m in \u001b[0;36mpoll\u001b[0;34m(self, flag)\u001b[0m\n\u001b[1;32m 25\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreturncode\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 26\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 27\u001b[0;31m \u001b[0mpid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msts\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwaitpid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflag\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 28\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 29\u001b[0m \u001b[0;31m# Child process not yet created. See #1731717\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"^C\n",
"Interrupted with signal 2 in \n",
"^C\n"
]
}
],
"source": [
"%cd ~/stable-diffusion-webui\n",
"from multiprocessing import Process\n",
"import time\n",
"\n",
"def run_command1():\n",
"# time.sleep(15)\n",
" !zrok share public http://localhost:7860 --headless\n",
"\n",
"def run_command2():\n",
" time.sleep(2)\n",
" !python launch.py --listen --xformers --enable-insecure-extension-access --theme dark --gradio-queue --skip-torch-cuda-test --no-half-vae\n",
"\n",
"if __name__ == '__main__':\n",
" p1 = Process(target=run_command1)\n",
" p2 = Process(target=run_command2)\n",
" p1.start()\n",
" p2.start()\n",
" p1.join()\n",
" p2.join()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9ea3ea45-056c-4863-a06a-3f7422bf7e20",
"metadata": {
"scrolled": true,
"tags": []
},
"outputs": [],
"source": [
"#Don't forget to paste your NGROK token here\n",
"argu = '--skip-torch-cuda-test --enable-insecure-extension-access --disable-console-progressbars --xformers --enable-insecure-extension-access --theme dark --lowram' \n",
"%cd ~/stable-diffusion-webui\n",
"\n",
"#!wget -qq https://huggingface.co/datasets/ysb123/repo/resolve/main/config.json\n",
"#!wget -qq https://huggingface.co/datasets/ysb123/repo/resolve/main/styles.csv\n",
"#!conda install -y -c conda-forge nodejs\n",
"#!npm install -g localtunnel\n",
"\n",
"\n",
"!git pull\n",
"#!conda install -y -c conda-forge openssh\n",
"!python3 -m pip install gradio\n",
"!wget -q -O - https://loca.lt/mytunnelpassword\n",
"!lt --port 7860 --subdomain example-subdomain --local_https False & python launch.py {argu} --share\n",
"#!python launch.py --skip-torch-cuda-test --remotemoe --enable-insecure-extension-access --disable-console-progressbars --xformers --enable-insecure-extension-access --theme dark --lowram"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "08cc20d4-3cb7-45b9-8ca7-506abe0cf79c",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#Check your available storage\n",
"!df -h | grep -E 'Avail|home'"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d2eeb1a8-4cfb-478c-81da-a7825e8caf3f",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"\n",
"%cd ~/stable-diffusion-webui/extentions\n",
"!git clone https://github.com/camenduru/tunnels\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1efae36f-e7b6-44ab-aef8-6a70eea650d8",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from http.server import HTTPServer, BaseHTTPRequestHandler\n",
"\n",
"class SimpleHTTPRequestHandler(BaseHTTPRequestHandler):\n",
" def do_GET(self):\n",
" self.send_response(200)\n",
" self.send_header('Content-type', 'text/html')\n",
" self.end_headers()\n",
" self.wfile.write(b\"Hello, welcome to your local server!\")\n",
"\n",
"def run(server_class=HTTPServer, handler_class=SimpleHTTPRequestHandler, port=7860):\n",
" server_address = ('', port)\n",
" httpd = server_class(server_address, handler_class)\n",
" print(f\"Server running on http://127.0.0.1:{port}\")\n",
" httpd.serve_forever()\n",
"\n",
"run()\n"
]
},
{
"cell_type": "markdown",
"id": "c9058578-7096-44ce-8ea2-0153cf151c44",
"metadata": {
"tags": []
},
"source": [
"🖼️ Step 5. Download all your outputs \n",
"If your setup folder doesn't have problem, skip this step."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a0245311-d83a-469a-bb00-2c7c37def333",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#download and compress all outputs\n",
"import zipfile\n",
"import os\n",
"\n",
"def create_zip_archive(source_dir, output_path):\n",
" with zipfile.ZipFile(output_path, 'w', zipfile.ZIP_DEFLATED) as zipf:\n",
" for root, dirs, files in os.walk(source_dir):\n",
" for file in files:\n",
" file_path = os.path.join(root, file)\n",
" zipf.write(file_path, os.path.relpath(file_path, source_dir))\n",
"\n",
"# Specify the source directory and output path\n",
"source_dir = '/home/studio-lab-user/drive/MyDrive/SD-IMG-OUT'\n",
"output_path = '/home/studio-lab-user/outputs.zip'\n",
"\n",
"# Create the ZIP archive\n",
"create_zip_archive(source_dir, output_path)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fdeece9b-7e0a-4c93-aec2-6d96b95cdc84",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#download and compress all outputs\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 = 'drive/MyDrive/SD-IMG-OUT/extras' # Replace with the path to your input folder\n",
"# Specify the output folder where zip files will be saved\n",
"output_folder = 'drive/MyDrive' # 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": null,
"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": "markdown",
"id": "1d0a3313-0c65-44ef-b89e-459fa779e84b",
"metadata": {
"tags": []
},
"source": [
" Backup Tools \n",
"If your setup folder doesn't have problem, skip this step."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "213d1125-9602-46bb-90d8-3d5cd1ca684a",
"metadata": {},
"outputs": [],
"source": [
"!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/animatrix.safetensors\" \"https://civitai.com/api/download/models/44827?type=Model&format=PickleTensor&size=pruned&fp=fp16\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "eaca1b93-a213-4778-84fa-43605b6f75dd",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/VAE/sdxl_vae.safetensors\" \"https://huggingface.co/ckpt/sdxl_vae/resolve/main/sdxl_vae.safetensors\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f4fd3fe0-7f79-4359-9e5d-8305c31ae68b",
"metadata": {},
"outputs": [],
"source": [
"# tmp\n",
"!ln -vs /tmp/controlnet_models /home/studio-lab-user/stable-diffusion-webui/extensions/sd-webui-controlnet/models\n",
"!mkdir -p /tmp/controlnet_models\n",
"%cd ~/stable-diffusion-webui/extensions/sd-webui-controlnet/models\n",
"\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_ip2p_fp16.safetensors -o control_v11e_sd15_ip2p_fp16.safetensors\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_shuffle_fp16.safetensors -o control_v11e_sd15_shuffle_fp16.safetensors\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_canny_fp16.safetensors -o control_v11p_sd15_canny_fp16.safetensors\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11f1p_sd15_depth_fp16.safetensors -o control_v11f1p_sd15_depth_fp16.safetensors\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_inpaint_fp16.safetensors -o control_v11p_sd15_inpaint_fp16.safetensors\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart_fp16.safetensors -o control_v11p_sd15_lineart_fp16.safetensors\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_mlsd_fp16.safetensors -o control_v11p_sd15_mlsd_fp16.safetensors\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_normalbae_fp16.safetensors -o control_v11p_sd15_normalbae_fp16.safetensors\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_openpose_fp16.safetensors -o control_v11p_sd15_openpose_fp16.safetensors\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_scribble_fp16.safetensors -o control_v11p_sd15_scribble_fp16.safetensors\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_seg_fp16.safetensors -o control_v11p_sd15_seg_fp16.safetensors\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_softedge_fp16.safetensors -o control_v11p_sd15_softedge_fp16.safetensors\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15s2_lineart_anime_fp16.safetensors -o control_v11p_sd15s2_lineart_anime_fp16.safetensors\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile_fp16.safetensors -o control_v11f1e_sd15_tile_fp16.safetensors\n",
"\n",
"\n",
"\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11e_sd15_ip2p_fp16.yaml -o control_v11e_sd15_ip2p_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11e_sd15_shuffle_fp16.yaml -o control_v11e_sd15_shuffle_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_canny_fp16.yaml -o control_v11p_sd15_canny_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11f1p_sd15_depth_fp16.yaml -o control_v11f1p_sd15_depth_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_inpaint_fp16.yaml -o control_v11p_sd15_inpaint_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_lineart_fp16.yaml -o control_v11p_sd15_lineart_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_mlsd_fp16.yaml -o control_v11p_sd15_mlsd_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_normalbae_fp16.yaml -o control_v11p_sd15_normalbae_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_openpose_fp16.yaml -o control_v11p_sd15_openpose_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_scribble_fp16.yaml -o control_v11p_sd15_scribble_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_seg_fp16.yaml -o control_v11p_sd15_seg_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_softedge_fp16.yaml -o control_v11p_sd15_softedge_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15s2_lineart_anime_fp16.yaml -o control_v11p_sd15s2_lineart_anime_fp16.yaml\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11f1e_sd15_tile_fp16.yaml -o control_v11f1e_sd15_tile_fp16.yaml"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "aaea3473-1ac6-40d8-98c2-a29386ca147e",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#List all folders and sizes\n",
"!du -h --max-depth=1 /home/studio-lab-user"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "747e82f8-7884-4e66-8628-bd1f899c99a4",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# create symlink to temporary folder\n",
"!ln -vs /tmp ~/tmp\n",
"#\n",
"!ln -vs /tmp/outputs /home/studio-lab-user/stable-diffusion-webui/outputs\n",
"#\n",
"!ln -vs /tmp/models /home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/tmp_models\n",
"#\n",
"!mkdir ~/stable-diffusion-webui/models/Lora\n",
"!ln -vs /tmp/Lora /home/studio-lab-user/stable-diffusion-webui/models/Lora/tmp_Lora"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "02ccc281-c43a-4bc7-9b97-adf6bea6f8f6",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"!conda list"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ab02c781-46ea-4f07-8c4b-f329069d903b",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#clean remove all env, cache and file\n",
"!rm -r /home/studio-lab-user/.cache\n",
"!rm -r /home/studio-lab-user/.stable-diffusion-webui\n",
"!conda remove -n \"env_name\" --all\n",
"!rm -rf /home/studio-lab-user/*"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "820e32ee-5b82-488b-8daa-767d3b746f2d",
"metadata": {},
"outputs": [],
"source": [
"!rm -rf /home/studio-lab-user/tmp\n",
"!rm -rf /home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/tmp_models\n",
"!rm -rf /home/studio-lab-user/stable-diffusion-webui/\n",
"\n",
"\n",
"#delete and empty the MODELS folder\n",
"!rm -rf /home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/*\n",
"\n",
"# persistent\n",
"#%cd ~/asd/models/Stable-diffusion\n",
"#!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://civitai.com/api/download/models/77744 -o Meichidark_Mix_V2.safetensors"
]
},
{
"cell_type": "markdown",
"id": "baaf8967-78f3-4b63-9427-313bffa67a93",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "4596433a-b219-482d-81bc-622468f9af97",
"metadata": {},
"outputs": [],
"source": [
"!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/sdxl_base.safetensors\" \"https://huggingface.co/ckpt/sd_xl_base_1.0/resolve/main/sd_xl_base_1.0_0.9vae.safetensors\"\n",
"!curl -Lo \"/home/studio-lab-user/stable-diffusion-webui/models/Stable-diffusion/sdxl_refiner.safetensors\" \"https://huggingface.co/ckpt/sd_xl_refiner_1.0/resolve/main/sd_xl_refiner_1.0_0.9vae.safetensors\"\n"
]
},
{
"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": [],
"source": [
"import os\n",
"import zipfile\n",
"embeddings_zip_url = 'https://github.com/Ysb321/supper/releases/download/emm/emm.zip, https://civitai.com/api/download/models/42247?type=Model&format=Other, https://civitai.com/api/download/models/106020?type=Model&format=PickleTensor'\n",
"url_list = embeddings_zip_url.split(\", \")\n",
"for url in url_list:\n",
" !curl -Lo /home/studio-lab-user/stable-diffusion-webui/models/new {url}\n",
"current_dir = '/home/studio-lab-user/stable-diffusion-webui/models/new'\n",
"for entry in os.scandir(current_dir):\n",
" if entry.is_file() and entry.name.endswith('.zip'):\n",
" with zipfile.ZipFile(entry, 'r') as zip_ref:\n",
" zip_ref.extractall(current_dir)\n",
"!rm /home/studio-lab-user/stable-diffusion-webui/models/new*.zip"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c830ad32-b536-434f-ae9e-7bf845acd15e",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import os\n",
"import zipfile\n",
"embeddings_zip_url = 'https://github.com/Ysb321/supper/releases/download/emm/emm.zip, https://civitai.com/api/download/models/42247?type=Model&format=Other, https://civitai.com/api/download/models/106020?type=Model&format=PickleTensor'\n",
"url_list = embeddings_zip_url.split(\", \")\n",
"for url in url_list:\n",
" !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M -d /home/studio-lab-user/stable-diffusion-webui/models/new {url}\n",
"current_dir = '/home/studio-lab-user/stable-diffusion-webui/models/new'\n",
"for entry in os.scandir(current_dir):\n",
" if entry.is_file() and entry.name.endswith('.zip'):\n",
" with zipfile.ZipFile(entry, 'r') as zip_ref:\n",
" zip_ref.extractall(current_dir)\n",
"!rm /home/studio-lab-user/stable-diffusion-webui/models/new*.zip"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "28f19aa6-a322-4bbb-bcaa-fccf89e0b174",
"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
}
|