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Learn to set up and use the new ComfyUI-based toolbox for AI image and video generation specifically designed for AMD Strix Halo systems. Discover how this containerized solution consolidates image and video generation capabilities around ComfyUI while aligning with the current stable ROCm stack, replacing the previous retired toolbox. Explore the system requirements targeting AMD Strix Halo RDNA 3.5 iGPU running Linux with updated kernel and ROCm versions from January 2026 onwards, including proper host configuration to expose up to 124 GB of unified memory and correct AMD IOMMU setup. Master the process of downloading model weights and implementing various AI models including Qwen Image 2512 for image generation and LTX2 for image-to-video conversion. Understand the containerization approach using Toolbox with Docker/Podman, native operation on Fedora, and potential distrobox requirements for Ubuntu systems. Gain insights into avoiding mapping overhead through proper system configuration and learn practical implementation of modern AI generation workflows optimized for AMD hardware architecture.
