The update also expands video capabilities for systems with Intel Arc discrete GPUs, adding Image-to-Video and Video-to-Video workflows using Wan 2.1 VACE. The notes suggest starting at 512×512 pixels and about 49 frames to manage VRAM and iteration time, and they warn that a four-step LoRA setting can reduce compute at the cost of motion freedom. Convenience improvements include drag-and-drop thumbnails, a direct ComfyUI launch for node-level tweaks, Create and Enhance powered by PyTorch 2.8, Quick Access modes for Standard and HD, and a cleaner workflow menu. Image folders now use YYYYmmdd naming for easier sorting. Llama.cpp exposes an adjustable context size and a Vulkan backend for improved performance. Users can try more AI capabilities locally, and run their entire workflows from the central software.