RunPod은 인공지능 추론과 훈련을 위한 전 세계적으로 분산된 클라우드 플랫폼입니다. GPU 인스턴스를 제공하여 TensorFlow 및 PyTorch와 같은 인기있는 프레임 워크를 지원하며 AI 작업을 쉽게 실행할 수 있습니다.
RunPod를 사용하려면 계정을 등록하고 로그인하면 됩니다. 그런 다음 공개 또는 개인 저장소를 사용하여 컨테이너 기반의 GPU 인스턴스를 배포할 수 있습니다. 다양한 GPU 유형과 지역을 선택하여 특정 요구 사항을 충족시킬 수 있습니다. RunPod은 또한 서버리스 GPU 컴퓨팅, 다양한 응용 프로그램에 대한 AI 엔드포인트 및 개인 정보 보호 및 보안을 강화하기 위한 안전한 클라우드 옵션을 제공합니다.
다음은 RunPod Discord입니다: https://discord.gg/cUpRmau42V. 더 많은 Discord 메시지를 보려면 여기(/ko/discord/cuprmau42v)를 클릭하세요.
다음은 고객 서비스를 위한 RunPod 지원 이메일입니다: help@runpod.io . 더 많은 문의사항이 있으면 문의하기 페이지(https://www.runpod.io/contact)를 방문하세요.
RunPod 회사 이름: RunPod .
RunPod에 대해 자세히 알아보려면 회사 소개 페이지(https://www.runpod.io/about)를 방문하세요. .
RunPod 로그인 링크: https://www.runpod.io/console/login
RunPod 가입 링크: https://www.runpod.io/console/signup
RunPod 가격 링크: https://www.runpod.io/gpu-instance/pricing
RunPod Twitter 링크: https://twitter.com/runpod_io
RunPod Instagram 링크: https://www.instagram.com/runpod.io
RunPod Github 링크: https://github.com/runpod
소셜 리스닝
Run ANY LLM Using Cloud GPU and TextGen WebUI (aka OobaBooga)
In this video, I'll show you how to use RunPod.io to quickly and inexpensively spin up top-of-the-line GPUs so you can run any large language model. It's super easy, and you can run even the largest models such as Guanaco 65b. This also includes a tutorial on Text Generation WebUI (aka OobaBooga), which is like Automatic1111 but for LLMs. Basically, an open-source interface for your LLM. Enjoy :) Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.ai/ My Links 🔗 👉🏻 Subscribe: https://www.youtube.com/@matthew_berman 👉🏻 Twitter: https://twitter.com/matthewberman 👉🏻 Discord: https://discord.gg/xxysSXBxFW 👉🏻 Patreon: https://patreon.com/MatthewBerman Media/Sponsorship Inquiries 📈 https://bit.ly/44TC45V Links: Runpod (Affiliate)- https://bit.ly/3OtbnQx Runpod The Bloke Template - https://runpod.io/gsc?template=qk29nkmbfr&ref=54s0k2f8 HuggingFace - https://www.huggingface.co Guanaco Model - https://huggingface.co/TheBloke/guanaco-65B-GPTQ TextGen WebUI - https://github.com/oobabooga/text-generation-webui
1-Minute Guide to Installing Falcon-40B LLM on RunPod.io #falcon40b #openllm #ai #artificialintelligence #hermes13b #runpodio #llm #learnai LLM Model: https://huggingface.co/TheBloke/falcon-40b-instruct-GPTQ RunPod IO Template: TheBloke Local LLMs One-Click UI Troubleshooting: - If the server does not restart correctly. Rebuild and unload the Falcon-40b every time you shutdown. - Make sure you run the TheBloke Local LLMs One-Click UI template for the server. - If you resume the server and no GPU is available. Just try again later, or rebuild on a new server (Doesn't take long).
Ultimate RunPod Tutorial For Stable Diffusion - Automatic1111 - Data Transfers, Extensions, CivitAI
Sign up RunPod: https://bit.ly/RunPodIO. This is the Grand Master tutorial for running Stable Diffusion via Web UI on RunPod cloud services. If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on 🥰 https://www.patreon.com/SECourses SECourses Discord To Get Full Support ⤵️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388 #RunPod discord: https://discord.gg/pJ3P2DbUUq Colab Tutorial 1: https://youtu.be/mnCY8uM7E50 Colab Tutorial 2: https://youtu.be/kIyqAdd_i10 Automatic1111 Command Line: https://bit.ly/StartArguments Best DreamBooth Tutorial: https://youtu.be/Bdl-jWR3Ukc DreamBooth second tutorial: https://youtu.be/KwxNcGhHuLY RunPodCTL GitHub: https://github.com/runpod/runpodctl Pre-trained models repo link : https://huggingface.co/lllyasviel/ControlNet Web UI install tutorial on PC: https://youtu.be/AZg6vzWHOTA How To Use Different Models Automatic1111: https://youtu.be/aAyvsX-EpG4 Textual Inversion Training Tutorial: https://youtu.be/dNOpWt-epdQ ControlNet Tutorial Video: https://youtu.be/vhqqmkTBMlU ControlNet extension: http://bit.ly/3IxBYc6 ControlNet Model Files: https://bit.ly/CTRLNETModels ControlNet Native Script: https://youtu.be/YJebdQ30UZQ Upgrade xformers Commands: https://bit.ly/UPxformers Kohya GUI: http://bit.ly/3ICvsB7 Cloud sync: http://bit.ly/40Zf44C 0:00 Intro 1:32 How to register RunPod.io and charge your credits 2:34 How to deploy a pod - start a server for Stable Diffusion 1.5 Automatic1111 Web UI 3:30 How to select deployment template for Stable Diffusion Web UI in RunPod 4:00 Explanation of temporary disk and persistent volume 4:44 Explanation of credit spending per minute for storage usage in RunPod 8:10 My Pods section 8:30 Connect to the started Pod 8:41 Start SD 2.1 Version Web UI Pod 9:25 Why pick a lesser used Pod 10:53 Bidding system of RunPod.io 13:11 Where and how to see scheduled maintenance 13:31 Stop Pod vs Terminate (delete) Pod 14:24 Where to see logs to debug and understand errors 15:08 Connect your Pod via a Jupyter Lab interface 15:16 How to change Automatic1111 Web UI command line arguments and restart it 17:54 First prompt in RunPod Automatic1111 Web UI 18:45 Where to see logs, find error logs, debug them 19:35 How to install DreamBooth extension of Automatic1111 Web UI 20:58 Where the generated images are saved 21:10 How to download generated images 21:38 How to update installed extensions 21:55 How to notice port error and fix it 23:04 How to install runpodctl latest version to transfer files very quickly between Pods and PC 23:55 How to download a ckpt file very fast from Hugging Face repo 25:10 Start DreamBooth training with best model and settings 30:41 How to upload your training dataset images 34:15 How to upload thousands of images (big data) from your computer to RunPod via runpodctl 34:28 How to install RunPodCTL on your Windows computer 35:06 How to send files from your PC to RunPod via runpodctl 39:38 Where to find generated checkpoints and sample images during DreamBooth training 41:30 How to delete non-empty folder 41:51 Even though xformers not selected during training, still breaks training and how to fix it 42:29 How to download a folder from RunPod to your PC via runpodctl very quickly 43:09 How to add runpodctl to environment path to use from every folder 47:25 How to continue/resume DreamBooth training 48:20 Test all training checkpoints with x/y plot to find best one 52:09 How to set correct command line arguments for SD 2.1 52:55 Where to see currently spent credits per hour 54:05 How to do DreamBooth training on SD 2.1 - 768 pixel version with best possible settings 57:42 How to generate classification images manually very fast 1:00:26 Why SD 1.5 is superior to 2.1 1:04:34 How to download custom models very fast from CivitAI 1:08:45 How to do Textual Inversion training with some optimal settings 1:13:00 Where Textual Inversion training samples and checkpoints are saved 1:14:07 How to use Textual Inversion check points 1:15:55 Move generated SD 2.1 classification images into correct folder 1:19:26 How to install and run ControlNet extension on RunPod IO 1:21:11 How to download your trained model files (ckpt) into your PC very fast via runpodctl 1:25:00 How to upgrade xformers to 0.0.17 for DreamBooth SD 2.1 training 1:26:04 How to expand runtime disk space 1:27:21 Best settings for SD 2.1 with xformers 1:31:30 What is Stable Diffusion fine tuning and how to do fine tuning with DreamBooth 1:39:20 Best settings quick recap for SD 2.1 for 24 GB VRAM 1:40:34 How to install and run Kohya GUI on RunPod 1:44:16 How to enable public Gradio link for Kohya GUI 1:44:52 How to start RunPods without GPU 1:46:53 Cloud snyching your Pod data / content thumbnail freepik macrovector
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