Completed
8:07 Model File Download Options and Instructions
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Wan 2.1 AI Video Model - Windows Installation and Cloud Setup Tutorial
Automatically move to the next video in the Classroom when playback concludes
- 1 0:00 Introduction to Wan AI Video Generation Model
- 2 0:28 Wan AI vs. Paid Video Services
- 3 1:12 Model Features: Text-to-Video, Image-to-Video, Video-to-Video
- 4 1:40 Model Parameters and VRAM Requirements
- 5 2:12 Demonstration of Generated Videos: Image to Video
- 6 2:40 Demonstration of Generated Videos: Text to Video
- 7 3:01 Demonstration of Generated Videos: More Examples
- 8 3:48 Importance of Prompts and Negative Prompts
- 9 4:06 Windows Installation Tutorial Overview
- 10 4:19 Performance Comparison: RTX 5090 vs. RTX 3090 Ti
- 11 4:41 Application Compatibility and Virtual Environment
- 12 4:59 Cloud Service Options: Massed Compute and Rampod
- 13 5:33 Detailed Post and Installation Instructions
- 14 6:01 Downloading and Extracting Installer Files
- 15 6:45 Running the Windows Installer Important Note: Don't Run as Admin
- 16 8:07 Model File Download Options and Instructions
- 17 10:12 Troubleshooting Model Download Failures
- 18 11:05 Moving Downloaded Models and Starting the Application
- 19 11:50 Gradio Interface Overview and Model Selection
- 20 12:02 GPU Presets and VRAM Management
- 21 12:23 Prompt Enhancement Feature
- 22 13:17 Text-to-Video Generation Demo and Speed on RTX 5090
- 23 14:13 Performance Comparison on RTX 3090 Ti
- 24 15:58 Actual Speed Test No Video Recording
- 25 17:04 Output Folder and Multi-line Prompt Support
- 26 17:41 Generating Multiple Videos and Random Seeds
- 27 18:10 Using Video-to-Video Feature
- 28 18:45 Video-to-Video Demonstration and Denoising
- 29 19:38 Exploring 14 Billion Parameter Text-to-Video Model
- 30 20:37 Performance of 14 Billion Parameter Model on RTX 5090 and 3090 Ti
- 31 21:30 Testing 14 Billion Parameter 480 Pixel Image-to-Video Model
- 32 22:15 Prompting with Claude AI for Image-to-Video
- 33 23:26 Image-to-Video Generation Demo and Speed on RTX 5090 and 3090 Ti
- 34 23:45 Crucial Tips: Aspect Ratio and Cropping for Image-to-Video
- 35 24:16 Repeating Test for 720 Pixel Image-to-Video Model
- 36 24:32 Step Speeds for 720 Pixel Image-to-Video Model on RTX 5090 and 3090 Ti
- 37 24:57 Using Wan AI on Massed Compute Cloud Service
- 38 25:31 Registering and Setting Up Massed Compute
- 39 26:37 Deploying a Machine and Connecting with Thinlinc Client
- 40 28:09 File Transfer to Massed Compute Shared Folder
- 41 29:32 Installing Wan AI on Massed Compute
- 42 30:13 Downloading Models on Massed Compute Fast Download Speed
- 43 31:00 Starting the Gradio Interface on Massed Compute
- 44 31:20 Accessing Gradio Interface from Local Computer
- 45 31:56 Generating Video on Massed Compute and Monitoring Progress
- 46 32:46 Downloading Generated Videos from Massed Compute
- 47 33:30 Terminating Massed Compute Machine Caution
- 48 34:04 Faster Generation Options on Massed Compute H100, A100, L40S
- 49 34:31 Running Multiple Applications in Parallel on Massed Compute
- 50 35:08 Using Wan AI on RunPod Cloud Service
- 51 35:41 Registering and Setting Up RunPod
- 52 35:58 Deploying a Pod and Connecting to Jupiter Lab
- 53 37:50 Uploading and Extracting Installer on RunPod
- 54 38:10 Installing Wan AI on RunPod
- 55 38:40 Downloading Models on RunPod Fast Download Speed
- 56 40:00 Starting Gradio Interface on RunPod and Accessing Live Share Link
- 57 40:37 Testing Generation Speed on RunPod H100 GPU
- 58 43:25 Downloading Generated Videos from RunPod
- 59 43:55 Stopping and Terminating Rampod Pod Caution and Resume Option
