Image to Video using Wan 2.2 and Lightx2V and GGUF.If you are having slowness issues, then you might need to get the smallest version of GGUF which will take up the least amount of VRAM.High Noise i2v model<a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/tree/main/HighNoise">https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/tree/main/HighNoise</a>Low Noise i2v model<a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/tree/main/LowNoise">https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/tree/main/LowNoise</a>Lightx2v LORA for speed up<a target="_blank" rel="ugc" href="https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/loras">https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/loras</a>VAE<a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/main/VAE">https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/main/VAE</a>If you encounter an issue similar to this :Given groups=1, weight of size [5120, 36, 1, 2, 2], expected input[1, 32, 21, 104, 60] to have 36 channels, but got 32 channels instead.If you have the custom node, flow2-wan-video installed, this may be causing issues with Wan 2.2You can try deleting this node.If above does not work, then you may need to update comfyYou will need to update comfy by running this batch file (updating from within comfy seems unreliable)update_comfyui.bat

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