Скачать с ютуб Wan 2.1 AI Video Model: Ultimate Step-by-Step Tutorial for Windows & Affordable Private Cloud Setup в хорошем качестве

Wan 2.1 AI Video Model: Ultimate Step-by-Step Tutorial for Windows & Affordable Private Cloud Setup

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 all publicly published models into your Windows PC with 1-click installation and use them with the easiest possible way. With the Gradio APP I have developed, you will be able to use Wan AI with as low as 3.5GB VRAM having GPUs. Furthermore, for those who want to utilize powerful private cloud GPUs with cheapest possible prices, I will show how to 1-click and install Wan 2.1 on Massed Compute and on RunPod. Additionally, I will compare performance of RTX 3090 TI with RTX 5090 on all Wan 2.1 models. You will be shocked to see performance of 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) ⤵️ ▶️   / click-to-open-post-used-in-tutorial-123105403   🔗 SECourses Official Discord 9500+ Members ⤵️ ▶️   / discord   🔗 Stable Diffusion, FLUX, Generative AI Tutorials and Resources GitHub ⤵️ ▶️ https://github.com/FurkanGozukara/Sta... 🔗 SECourses Official Reddit - Stay Subscribed To Learn All The News and More ⤵️ ▶️   / secourses   🔗 MSI RTX 5090 TRIO FurMark Benchmarking + Overclocking + Noise Testing and Comparing with RTX 3090 TI ⤵️ ▶️    • MSI RTX 5090 TRIO FurMark Benchmarkin...   🔗 RTX 5090 Tested Against FLUX DEV, SD 3.5 Large, SD 3.5 Medium, SDXL, SD 1.5, AMD 9950X + RTX 3090 TI ⤵️ ▶️    • RTX 5090 Tested Against FLUX DEV, SD ...   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 of your previous installation into a new fresh installation 11:28 How to start 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 lower number of steps 14:13 How to start Gradio Wan AI APP on second GPU and Performance Comparison on RTX 3090 Ti 14:28 How to Set CUDA_VISIBLE_DEVICES 14:41 How to change seed, saved video FPS, 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 Video-to-Video Feature 18:45 Video-to-Video Demonstration and Denoising 19:38 Exploring 14 Billion Parameter Text-to-Video Model 21:30 Testing 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 720 Pixel Image-to-Video Model on RTX 5090 and 3090 Ti 24:57 Using Wan AI on Massed Compute Cloud Service 25:31 Registering and Setting Up Massed Compute 26:37 Deploying a Machine and Connecting with Thinlinc Client 28:09 File Transfer to 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 Gradio Interface from Local Computer 31:56 Generating Video on Massed Compute and Monitoring Progress 32:46 Downloading Generated Videos from Massed Compute 33:30 Terminating 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 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 Installer on RunPod 38:10 Installing Wan AI on RunPod 38:40 Downloading Models on RunPod (Fast Download Speed) 40:00 Starting Gradio Interface on RunPod and Accessing Live Share Link 40:37 Testing Generation Speed on RunPod (H100 GPU) 43:25 Downloading Generated Videos from RunPod 43:55 Stopping and Terminating Rampod Pod (Caution and Resume Option) We have used the following songs in this video : https://gist.github.com/FurkanGozukar... Example : Cartoon, Jéja - Why We Lose (feat. Coleman Trapp) [NCS Release] Music provided by NoCopyrightSounds Free Download/Stream: http://ncs.io/whywelose Watch:    • Cartoon, Jéja - Why We Lose (feat. Co...