RunPod是一个全球分布式的云平台,用于运行AI推理和训练。它提供GPU实例,以轻松运行AI工作负载,支持TensorFlow和PyTorch等流行框架。
要使用RunPod,只需注册一个帐户并登录。从那里,您可以使用公共或私有代码仓库部署基于容器的GPU实例。您可以从多种GPU类型和区域中选择,以满足您的特定需求。RunPod还提供用于各种应用程序的无服务器GPU计算,AI端点以及安全的云选项以增强隐私和安全性。
这个是 RunPod Discord的链接: https://discord.gg/cUpRmau42V. 更多 Discord 信息, 请点击 discord链接(/zh/discord/cuprmau42v).
以下是 RunPod 支持邮箱含客户服务: help@runpod.io . 更多联系, 访问 the contact us page(https://www.runpod.io/contact)
RunPod 公司名字: RunPod .
更多关于RunPod, 请访问 the about us page(https://www.runpod.io/about).
RunPod 登录链接: https://www.runpod.io/console/login
RunPod 注册链接: https://www.runpod.io/console/signup
RunPod 价格链接: https://www.runpod.io/gpu-instance/pricing
RunPod Twitter链接: https://twitter.com/runpod_io
RunPod Instagram链接: https://www.instagram.com/runpod.io
RunPod Github链接: https://github.com/runpod
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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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