Upload Openi-V4-New.ipynb
Browse files- Openi-V4-New.ipynb +408 -0
Openi-V4-New.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "6247c454-ae5d-4fa2-80e5-1918ccd4d094",
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"metadata": {},
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"source": [
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"# 启智云云端部署Stable Diffusion WebUI\n",
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9 |
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"## 永久免费白嫖A100 24G/40G/80G显卡!\n",
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"### 唯一项目地址:https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui-v1.6.1\n",
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"### 唯一项目地址:https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui-v1.6.1\n",
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"### 唯一项目地址:https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui-v1.6.1\n",
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"### 其它项目都是盗版!坚决不要相信此云端的显卡要给租金才能用!"
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]
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},
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{
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"cell_type": "markdown",
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"id": "091be464",
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"metadata": {},
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"source": [
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"## By Nyan9 BiliBili。QQ2575044704\n",
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"此为20元付费脚本,未经同意禁止公开此脚本。\n",
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"如果要公开,请删除所有全部关键代码"
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]
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},
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{
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"cell_type": "markdown",
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"id": "48852a6e",
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"metadata": {},
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"source": [
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"# 首次使用先复制镜像(左侧目录有sd就不用按这个):"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "0da5ecae",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"你的GPU运行状态:\n",
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"Tue Mar 26 21:33:25 2024 \n",
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"+---------------------------------------------------------------------------------------+\n",
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"| NVIDIA-SMI 535.54.03 Driver Version: 535.54.03 CUDA Version: 12.2 |\n",
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"|-----------------------------------------+----------------------+----------------------+\n",
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"| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
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"| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n",
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"| | | MIG M. |\n",
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"|=========================================+======================+======================|\n",
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"| 0 NVIDIA A100-SXM4-80GB On | 00000000:89:00.0 Off | 0 |\n",
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"| N/A 32C P0 64W / 400W | 4MiB / 81920MiB | 0% Default |\n",
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"| | | Disabled |\n",
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"+-----------------------------------------+----------------------+----------------------+\n",
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" \n",
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"+---------------------------------------------------------------------------------------+\n",
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"| Processes: |\n",
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"| GPU GI CI PID Type Process name GPU Memory |\n",
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"| ID ID Usage |\n",
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"|=======================================================================================|\n",
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"| No running processes found |\n",
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"+---------------------------------------------------------------------------------------+\n"
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]
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}
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],
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"source": [
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"。"
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]
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},
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{
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"cell_type": "markdown",
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"id": "932a01c4",
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"metadata": {},
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"source": [
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"# SD启动:\n",
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"## 出现http//:127.0.0.1:7860后从内网穿透连接进入SD-WebUI!不是本地地址"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "929ee5ea-15e7-48cd-8c8a-09316b75ad18",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"everyone.safetensors openi_resource.version\t模型1.3.safetensors\n",
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"niji.safetensors xuanliduocai.safetensors\t漫画模型.safetensors\n"
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]
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}
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],
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"source": [
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"#先复制模型\n",
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"。。。。。"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a52ebf7d",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Errno 2] No such file or directory: '/tmp/code/sd'\n",
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"/sd\n",
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"Python 3.10.9 (main, May 15 2023, 07:38:08) [GCC 11.3.0]\n",
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"Version: v1.7.0-1-g167206da\n",
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"Commit hash: 167206dafd7ea357ec3824e853f6dab024b6a338\n",
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"Installing requirements\n",
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"ControlNet init warning: Unable to install insightface automatically. Please try run `pip install insightface` manually.\n",
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"Launching Web UI with arguments: --ckpt-dir=/tmp/pretrainmodel --ngrok=2douOsr61tUyYwMVF3lfj9uZGoa_6FPJ2x1xhKPbL6z4euKkM --ngrok-region=ap --ad-no-huggingface --no-download-sd-model --opt-channelslast --xformers --api --no-hashing --skip-torch-cuda-test --api-auth=123:123\n",
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"ngrok authtoken detected, trying to connect...\n",
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"ngrok connected to localhost:7860! URL: https://81fc-218-17-115-213.ngrok-free.app\n",
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"\n",
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"Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.\n",
|
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"\u001b[1m[\u001b[0m-\u001b[1m]\u001b[0m ADetailer initialized. version: \u001b[1;36m24.1\u001b[0m.\u001b[1;36m2\u001b[0m, num models: \u001b[1;36m4\u001b[0m\n",
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"ControlNet preprocessor location: /sd/extensions/sd-webui-controlnet/annotator/downloads\n",
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131 |
+
"2024-03-24 23:37:37,861 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.441\n",
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"2024-03-24 23:37:38,007 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.441\n",
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"sd-webui-prompt-all-in-one background API service started successfully.\n",
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"Checkpoint 131-half.safetensors [870fa2e24c] not found; loading fallback stable_diffusion_model_01/everyone.safetensors\n",
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"Loading weights [None] from /tmp/pretrainmodel/stable_diffusion_model_01/everyone.safetensors\n",
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"2024-03-24 23:37:39,868 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet UI callback registered.\n",
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"Creating model from config: /sd/configs/v1-inference.yaml\n",
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"Running on local URL: http://127.0.0.1:7860\n",
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"\n",
|
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"To create a public link, set `share=True` in `launch()`.\n",
|
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"Startup time: 28.6s (prepare environment: 12.7s, import torch: 2.9s, import gradio: 1.3s, setup paths: 1.4s, initialize shared: 0.3s, other imports: 2.0s, setup codeformer: 0.1s, load scripts: 2.7s, create ui: 2.0s, gradio launch: 2.8s, add APIs: 0.2s).\n",
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"Couldn't find VAE named pastel-waifu-diffusion.vae.pt; using None instead\n",
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"Applying attention optimization: xformers... done.\n",
|
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"Model loaded in 34.5s (load weights from disk: 1.6s, create model: 1.3s, apply weights to model: 31.1s, calculate empty prompt: 0.2s).\n"
|
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]
|
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}
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],
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"source": [
|
149 |
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"# 点击这个启动SD\n",
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"。。。。。。。。。。。。。。。。。。。。。。。"
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]
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},
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{
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"cell_type": "markdown",
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"id": "0e0dc739",
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"metadata": {},
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"source": [
|
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"-------"
|
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]
|
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},
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{
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"cell_type": "markdown",
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"id": "54a6b833",
|
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"metadata": {},
|
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"source": [
|
166 |
+
"# 下载模型,直接把模型下载地址粘贴进去\n",
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+
"# 支持的模型下载站:liblib.ai, tusiart.com, Huggingface镜像站\n",
|
168 |
+
"# 不支持的:Civitai,\n",
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"## HUggingface镜像站:huggingface.sukaka.top\n",
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"## 必须先把SD停下来再执行代码!"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "e1d736de",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"/tmp/code/sd/models/Lora\n",
|
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"\u001b[35m[\u001b[0m#36562e 153MiB/162MiB\u001b[36m(94%)\u001b[0m CN:9 DL:\u001b[32m62MiB\u001b[0m\u001b[35m]\u001b[0m\u001b[0mm\n",
|
185 |
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"Download Results:\n",
|
186 |
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"gid |stat|avg speed |path/URI\n",
|
187 |
+
"======+====+===========+=======================================================\n",
|
188 |
+
"36562e|\u001b[1;32mOK\u001b[0m | 47MiB/s|/tmp/code/sd/models/Lora/Baiyu.safetensors\n",
|
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"\n",
|
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"Status Legend:\n",
|
191 |
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"(OK):download completed.\n",
|
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"/tmp/code\n"
|
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]
|
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}
|
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],
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"source": [
|
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"代码呢?"
|
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]
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},
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{
|
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"cell_type": "code",
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"execution_count": 9,
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"id": "741c1a0c",
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"metadata": {},
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"outputs": [],
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"source": [
|
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"。。"
|
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]
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},
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{
|
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"cell_type": "code",
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"execution_count": 3,
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"id": "4097b906",
|
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"metadata": {
|
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"tags": []
|
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},
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"outputs": [
|
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{
|
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"ename": "SyntaxError",
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"evalue": "EOL while scanning string literal (680814184.py, line 13)",
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"output_type": "error",
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"traceback": [
|
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"\u001b[0;36m Cell \u001b[0;32mIn[3], line 13\u001b[0;36m\u001b[0m\n\u001b[0;31m \"https://gidsgdsmncvknsnkdvsnkdvsknd\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m EOL while scanning string literal\n"
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]
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}
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],
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"source": [
|
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"## 安装常用插件,github如果连不上就多执行几次\n",
|
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"extensions = [\n",
|
230 |
+
"\"https://github.com/Mikubill/sd-webui-controlnet\",\n",
|
231 |
+
"代码被砂糖酱吃掉了!\n",
|
232 |
+
" asfknaskfnf\n",
|
233 |
+
" asfasv\n",
|
234 |
+
"\n",
|
235 |
+
"\n",
|
236 |
+
"sfhkahsffhaksfa\n",
|
237 |
+
"sf\n",
|
238 |
+
"asf\n",
|
239 |
+
"\n",
|
240 |
+
"sf\n",
|
241 |
+
"as\n",
|
242 |
+
"f\n",
|
243 |
+
"asffas\n",
|
244 |
+
"saf\n",
|
245 |
+
"\n",
|
246 |
+
"\n",
|
247 |
+
"\n",
|
248 |
+
"\n",
|
249 |
+
"\n",
|
250 |
+
"\n",
|
251 |
+
"\n",
|
252 |
+
"\n",
|
253 |
+
"\n",
|
254 |
+
"\n",
|
255 |
+
"\n",
|
256 |
+
"\n",
|
257 |
+
"草草草草草草草草草草草草草草草草草草草"
|
258 |
+
]
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"cell_type": "markdown",
|
262 |
+
"id": "a28903ba",
|
263 |
+
"metadata": {},
|
264 |
+
"source": [
|
265 |
+
"------------------"
|
266 |
+
]
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"cell_type": "markdown",
|
270 |
+
"id": "902e6634",
|
271 |
+
"metadata": {},
|
272 |
+
"source": [
|
273 |
+
"# 下面代码是启���秋叶的Lora训练器:"
|
274 |
+
]
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"cell_type": "markdown",
|
278 |
+
"id": "13585ce5",
|
279 |
+
"metadata": {},
|
280 |
+
"source": [
|
281 |
+
"# 1.拉取lora训练文件(首次启动)(左侧有lora文件夹就不用拉取)"
|
282 |
+
]
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"cell_type": "code",
|
286 |
+
"execution_count": 11,
|
287 |
+
"id": "dcf2eeb6",
|
288 |
+
"metadata": {
|
289 |
+
"tags": []
|
290 |
+
},
|
291 |
+
"outputs": [
|
292 |
+
{
|
293 |
+
"name": "stdout",
|
294 |
+
"output_type": "stream",
|
295 |
+
"text": [
|
296 |
+
"Object `(空)` not found.\n"
|
297 |
+
]
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"ename": "NameError",
|
301 |
+
"evalue": "name 'aa' is not defined",
|
302 |
+
"output_type": "error",
|
303 |
+
"traceback": [
|
304 |
+
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
305 |
+
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
306 |
+
"Cell \u001b[0;32mIn[11], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m get_ipython()\u001b[38;5;241m.\u001b[39mrun_line_magic(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpinfo\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m(空)\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 2\u001b[0m get_ipython()\u001b[38;5;241m.\u001b[39mshow_usage()\n\u001b[0;32m----> 3\u001b[0m \u001b[43maa\u001b[49m\n",
|
307 |
+
"\u001b[0;31mNameError\u001b[0m: name 'aa' is not defined"
|
308 |
+
]
|
309 |
+
}
|
310 |
+
],
|
311 |
+
"source": [
|
312 |
+
"\n",
|
313 |
+
"?(空)\n",
|
314 |
+
"??\n",
|
315 |
+
"aa"
|
316 |
+
]
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"cell_type": "markdown",
|
320 |
+
"id": "0ec71212",
|
321 |
+
"metadata": {},
|
322 |
+
"source": [
|
323 |
+
"# 2. 启动Lora训练器"
|
324 |
+
]
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"cell_type": "code",
|
328 |
+
"execution_count": 5,
|
329 |
+
"id": "a2b0612a",
|
330 |
+
"metadata": {
|
331 |
+
"tags": []
|
332 |
+
},
|
333 |
+
"outputs": [
|
334 |
+
{
|
335 |
+
"ename": "SyntaxError",
|
336 |
+
"evalue": "invalid character in identifier (2822435047.py, line 4)",
|
337 |
+
"output_type": "error",
|
338 |
+
"traceback": [
|
339 |
+
"\u001b[0;36m Cell \u001b[0;32mIn[5], line 4\u001b[0;36m\u001b[0m\n\u001b[0;31m 忘记了原来代码怎么写的??\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid character in identifier\n"
|
340 |
+
]
|
341 |
+
}
|
342 |
+
],
|
343 |
+
"source": [
|
344 |
+
"代码被砂糖酱吃掉了!\n"
|
345 |
+
]
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"cell_type": "code",
|
349 |
+
"execution_count": 13,
|
350 |
+
"id": "db459d42-54b2-4f32-9a5a-fb9b6b681ba9",
|
351 |
+
"metadata": {},
|
352 |
+
"outputs": [
|
353 |
+
{
|
354 |
+
"ename": "SyntaxError",
|
355 |
+
"evalue": "invalid syntax (3528668389.py, line 2)",
|
356 |
+
"output_type": "error",
|
357 |
+
"traceback": [
|
358 |
+
"\u001b[0;36m Cell \u001b[0;32mIn[13], line 2\u001b[0;36m\u001b[0m\n\u001b[0;31m 先从打印hello world开始\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
|
359 |
+
]
|
360 |
+
}
|
361 |
+
],
|
362 |
+
"source": [
|
363 |
+
"自学python区\n",
|
364 |
+
"先从打印hello world开始"
|
365 |
+
]
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"cell_type": "code",
|
369 |
+
"execution_count": 12,
|
370 |
+
"id": "5968dbc3-1a87-425e-8de6-e7c2517d66d2",
|
371 |
+
"metadata": {},
|
372 |
+
"outputs": [
|
373 |
+
{
|
374 |
+
"ename": "SyntaxError",
|
375 |
+
"evalue": "invalid character in identifier (816423590.py, line 1)",
|
376 |
+
"output_type": "error",
|
377 |
+
"traceback": [
|
378 |
+
"\u001b[0;36m Cell \u001b[0;32mIn[12], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m print(hello world)\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid character in identifier\n"
|
379 |
+
]
|
380 |
+
}
|
381 |
+
],
|
382 |
+
"source": [
|
383 |
+
"print(hello world)"
|
384 |
+
]
|
385 |
+
}
|
386 |
+
],
|
387 |
+
"metadata": {
|
388 |
+
"kernelspec": {
|
389 |
+
"display_name": "Python 3 (ipykernel)",
|
390 |
+
"language": "python",
|
391 |
+
"name": "python3"
|
392 |
+
},
|
393 |
+
"language_info": {
|
394 |
+
"codemirror_mode": {
|
395 |
+
"name": "ipython",
|
396 |
+
"version": 3
|
397 |
+
},
|
398 |
+
"file_extension": ".py",
|
399 |
+
"mimetype": "text/x-python",
|
400 |
+
"name": "python",
|
401 |
+
"nbconvert_exporter": "python",
|
402 |
+
"pygments_lexer": "ipython3",
|
403 |
+
"version": "3.8.10"
|
404 |
+
}
|
405 |
+
},
|
406 |
+
"nbformat": 4,
|
407 |
+
"nbformat_minor": 5
|
408 |
+
}
|