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Let me show you what I found while testing the Wan 2.1 FusionX VACE model in ComfyUI — because if you're trying to turn images into HD videos with motion control, this workflow might be exactly what you need. In this video, you'll learn: • How to use Wan 2.1 FusionX VACE with ComfyUI for image-to-video animation • Why combining motion capture and reference images gives better results • What to do when things go wrong — common errors and fixes included So yeah… I tried the Wan 2.1 FusionX VACE ComfyUI workflow with a few different test videos and reference images, just to see how it holds up. The results were pretty shocking — especially compared to other tools I've used before. It worked better than I thought, especially when using both ControlNet nodes together. The main thing I wanted was to animate a static image using motion from a source video. That’s where this model really shines. You can upload a reference image, add motion from another clip, and combine both to generate a smooth, frame-consistent output. No weird glitches or blurriness — even during fast hand movements. I also tested background swapping without changing the character — which worked well as long as I gave the AI enough context in the prompt. Just make sure not to over-explain the subject since the reference image already tells the model what to keep consistent. If you're running into issues like sage attention errors or VRAM limits, there are a few quick fixes I covered that helped me get the workflow running smoothly again. Resources mentioned: • Wan 2.1 FusionX VACE Workflow: https://aistudynow.com/how-to-use-wan... •https://huggingface.co/QuantStack/Wan... #Wan21FusionX #VACEComfyUI #ImageToVideoAI