Boost Stable-Diffusion.cpp Speed & Quality on Linux | WAN 2.2 TI2V 5B + AMD Instinct MI60 Setup

In this tutorial, I’ll show you how to configure stable-diffusion.cpp for WAN 2.2 TI2V 5B on Linux using an AMD Instinct MI60 (32GB HBM2) GPU.
We’ll focus on optimizing settings for faster performance and better video output quality, using the official documentation and efficient model downloading with aria2c.

💡 In a previous tutorial, I covered the default setup for WAN 2.2 TI2V 5B — you can check that here:
https://www.ojambo.com/review-generative-ai-wan-2-2-ti2v-5b-model

🔧 Resources & Documentation:
WAN setup documentation:
https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/wan.md

📚 Programming Books by Edward Ojambo:
https://www.amazon.com/stores/Edward-Ojambo/author/B0D94QM76N

🎓 Programming Courses:
https://ojamboshop.com/product-category/course

👨‍💻 One-on-One Programming Tutorials:
https://ojambo.com/contact

⚙️ AI Video Generation Installations or Migrations (e.g., WAN 3.3 TI2V 5B):
https://ojamboservices.com/contact

🏁 What You’ll Learn

How to configure stable-diffusion.cpp for WAN 2.2 TI2V 5B on Linux

How to optimize video quality and inference speed using AMD GPUs

How to use aria2c for faster model downloads

How to customize and test performance for different workloads

🧠 Perfect For

AI developers and video creators using AMD Instinct GPUs

Anyone wanting to optimize Stable Diffusion for video generation

Programmers exploring open-source AI acceleration on Linux

#StableDiffusion #WAN2_2TI2V5B #AMDInstinctMI60 #AIvideogeneration #LinuxAI #GenerativeAI #StableDiffusionCpp #AIVideo #AIsetup #AItutorial #EdwardOjambo