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141 lines
4.5 KiB
Text
141 lines
4.5 KiB
Text
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "KZ88G-iWCTs7"
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},
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"source": [
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"基於 4chan 魔改版 NovelAILeaks (naifu) 製作。 [來源](https://boards.4channel.org/g/thread/89095460#p89097704)\n",
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"\n",
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"使用官方前端 + 優化版後端,可突破75限制,支持所有模型。"
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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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"metadata": {
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"id": "nGwPS1cKX3U7"
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},
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"outputs": [],
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"source": []
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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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"metadata": {
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"id": "X5yF8TS1CR3L"
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},
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"outputs": [],
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"source": [
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"#@title ### 0. 檢查 GPU 工作狀態\n",
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"\n",
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"!nvidia-smi"
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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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"metadata": {
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"id": "iqTO_Uf3F6VW"
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},
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"outputs": [],
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"source": [
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"#@title ### 1. 下載 Novel AI API 後端、模型 \n",
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"#@markdown 如果下載速度太慢可以嘗試 restart\n",
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"\n",
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"%cd /content/\n",
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"!apt install -y -qq aria2\n",
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"!aria2c --summary-interval=5 -x 3 --allow-overwrite=true -Z \\\n",
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" https://pub-2fdef7a2969f43289c42ac5ae3412fd4.r2.dev/naifu.tar \\\n",
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" https://pub-2fdef7a2969f43289c42ac5ae3412fd4.r2.dev/animefull-latest.tar \n",
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" \n",
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"!echo \"Decompressing...\"\n",
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"!tar xf naifu.tar && rm naifu.tar\n",
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"!echo \"Done.\""
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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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"metadata": {
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"id": "BysBfYRmGSo1"
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},
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"outputs": [],
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"source": [
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"#@title ### 2. 安裝依賴\n",
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"#@markdown 耐心等待安裝完成\n",
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"\n",
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"%cd /content/naifu\n",
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"!pip install virtualenv && bash ./setup.sh\n",
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"!curl -Ls https://github.com/ekzhang/bore/releases/download/v0.4.0/bore-v0.4.0-x86_64-unknown-linux-musl.tar.gz | tar zx -C /usr/bin\n",
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"!curl -Lo /usr/bin/cloudflared https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 && chmod +x /usr/bin/cloudflared"
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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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"metadata": {
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"id": "uQBR9zXQGJrn"
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},
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"outputs": [],
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"source": [
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"#@title ### 3. 啟動模型\n",
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"#@markdown 訪問輸出的映射地址(以 `trycloudflare.com` / `bore.pub` 結尾)即可。\n",
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"#@markdown - 請等待模型加載完成(出現`Application startup complete`字樣)再訪問\n",
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"#@markdown - cloudflare 提供的服務偶爾會出現請求超時,可換用 bore 隧道\n",
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"\n",
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"%cd /content/naifu\n",
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"!sed -i 's/# export SAVE_FILES=\"1\"/export SAVE_FILES=\"1\"/g' run.sh\n",
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"!bash run.sh & cloudflared tunnel --url localhost:6969"
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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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"metadata": {
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"id": "B9j9thAby5_2"
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},
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"outputs": [],
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"source": [
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"#@title ### 4. (可選)使用 7G 的 `animefull-latest` 模型運行\n",
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"#@markdown 默認使用的是 4G 大小的 animefull-final-pruned 模型。如果想使用 7G 的 animefull-latest 模型,運行這個\n",
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"\n",
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"%cd /content/\n",
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"!tar xf animefull-latest.tar -C /content/naifu/models && rm animefull-latest.tar\n",
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"!sed -i 's/map_location=\"cpu\"/map_location=\"cuda\"/g' /content/naifu/hydra_node/models.py\n",
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"\n",
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"%cd /content/naifu\n",
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"%env DTYPE=float16\n",
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"%env CLIP_CONTEXTS=3\n",
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"%env AMP=1\n",
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"%env MODEL=stable-diffusion\n",
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"%env DEV=True\n",
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"%env MODEL_PATH=models/animefull-latest\n",
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"%env ENABLE_EMA=1\n",
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"%env VAE_PATH=models/animevae.pt\n",
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"%env PENULTIMATE=1\n",
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"%env PYTHONDONTWRITEBYTECODE=1\n",
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"%env SAVE_FILES=1\n",
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"\n",
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"!./venv/bin/python -m uvicorn --host 0.0.0.0 --port=6969 main:app & bore local 6969 --to bore.pub & cloudflared tunnel --url localhost:6969"
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]
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}
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],
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"metadata": {
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"accelerator": "GPU",
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"colab": {
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"collapsed_sections": [],
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"provenance": []
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},
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"kernelspec": {
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"display_name": "Python 3",
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"name": "python3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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