Wan 2.1 AI Video Model: Ultimate Step-by-Step Tutorial for Windows & Affordable Private Cloud Setup
Video Tutorial:
https://youtu.be/hnAhveNy-8s
New Updates:
Has been made after the tutorial was published — Now APP is V14
Alibaba’s new Wan 2.1 text-to-video, video-to-video, and image-to-video Open Source AI is unbelievable. In this tutorial I will show how you can install Wan 2.1 and all its publicly published models on your Windows PC with 1‑click installation and use them in the easiest possible way. With the Gradio APP I have developed, you will be able to use Wan AI even with GPUs having as low as 3.5GB VRAM. Furthermore, for those who want to utilize powerful private cloud GPUs at the cheapest possible prices, I will demonstrate how to install Wan 2.1 on Massed Compute and on RunPod with a single click. Additionally, I will compare the performance of the RTX 3090 TI with the RTX 5090 on all Wan 2.1 models. You will be shocked to see the performance of the RTX 5090. Also, the APP I developed supports all RTX 5000 series on Windows with Python VENV natively. You don’t need Linux or WSL.
🔗 Full Instructions, Configs, Installers, Information and Links Shared Post (the one used in the tutorial)
▶️ https://www.patreon.com/posts/click-to-open-post-used-in-tutorial-123105403
🔗 SECourses Official Discord 9500+ Members
▶️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
🔗 Stable Diffusion, FLUX, Generative AI Tutorials and Resources GitHub
▶️ https://github.com/FurkanGozukara/Stable-Diffusion
🔗 SECourses Official Reddit — Stay Subscribed To Learn All The News and More
▶️ https://www.reddit.com/r/SECourses/
🔗 MSI RTX 5090 TRIO FurMark Benchmarking + Overclocking + Noise Testing and Comparing with RTX 3090 TI
▶️ https://youtu.be/uV3oqdILOmA
🔗 RTX 5090 Tested Against FLUX DEV, SD 3.5 Large, SD 3.5 Medium, SDXL, SD 1.5, AMD 9950X + RTX 3090 TI
▶️ https://youtu.be/jHlGzaDLkto
Timeline:
0:00 Introduction to Wan AI Wan 2.1 Video Generation Model
2:12 Non-Cherry Pick Wan AI 2.1 Video Examples with Prompts
3:30 So good anime video generation example
3:48 Importance of Prompts and Negative Prompts
5:33 How to 1‑Click install Wan 2.1 AI on Windows — Windows Tutorial Part — Main Part
8:07 How to download Wan 2.1 AI Video Models and detailed explanation of each model
10:12 Troubleshooting Model Download Failures — remove HF_HUB_ENABLE_HF_TRANSFER
10:55 How to move models from your previous installation into a new, fresh installation
11:28 How to start the Wan 2.1 AI APP after installation and model downloads have been completed
11:50 Wan AI APP Gradio Interface Overview and Model Selection
12:23 Prompt Enhancement Feature
13:17 Text-to-Video Generation Demo and Speed on RTX 5090, and check VRAM usage with nvitop
13:40 How much overclock I made on RTX 5090
13:55 How to get faster results with a lower number of steps
14:13 How to start the Gradio Wan AI APP on a second GPU and compare performance on RTX 3090 Ti
14:28 How to set CUDA_VISIBLE_DEVICES
14:41 How to change seed, saved video FPS, and number of frames (duration of video)
17:04 Output Folder and Multi‑line Prompt Support
17:41 Generating Multiple Videos and Random Seeds
18:10 Using the Video-to-Video Feature
18:45 Video-to-Video Demonstration and Denoising
19:38 Exploring the 14 Billion Parameter Text-to-Video Model
21:30 Testing the 14 Billion Parameter 480 Pixel Image-to-Video Model
22:15 Prompting with Claude AI for Image-to-Video
23:26 Image-to-Video Generation Demo and Speed on RTX 5090 and 3090 Ti
23:45 Crucial Tips: Aspect Ratio and Cropping for Image-to-Video
24:32 Step Speeds for the 720 Pixel Image-to-Video Model on RTX 5090 and 3090 Ti
24:57 Using Wan AI on the Massed Compute Cloud Service
25:31 Registering and Setting Up Massed Compute
26:37 Deploying a Machine and Connecting with the Thinlinc Client
28:09 File Transfer to the Massed Compute Shared Folder
29:32 Installing Wan AI on Massed Compute
30:13 Downloading Models on Massed Compute (Fast Download Speed)
31:00 Starting the Gradio Interface on Massed Compute
31:20 Accessing the Gradio Interface from your Local Computer
31:56 Generating Video on Massed Compute and Monitoring Progress
32:46 Downloading Generated Videos from Massed Compute
33:30 Terminating the Massed Compute Machine (Caution)
34:04 Faster Generation Options on Massed Compute (H100, A100, L40S)
34:31 Running Multiple Applications in Parallel on Massed Compute
35:08 Using Wan AI on the RunPod Cloud Service
35:41 Registering and Setting Up RunPod
35:58 Deploying a Pod and Connecting to Jupiter Lab
37:50 Uploading and Extracting the Installer on RunPod
38:10 Installing Wan AI on RunPod
38:40 Downloading Models on RunPod (Fast Download Speed)
40:00 Starting the Gradio Interface on RunPod and Accessing the Live Share Link
40:37 Testing Generation Speed on RunPod (H100 GPU)
43:25 Downloading Generated Videos from RunPod
43:55 Stopping and Terminating the RunPod Pod (Caution and Resume Option)