HelloMeme is a diffusion model that incorporates spatially woven attention, designed to embed high fidelity and rich conditions into the image generation process. This technology generates videos by extracting features from each frame of the driving video and using them as input to the HMControlModule. Further optimization through the Animatediff module improves the continuity and fidelity of the generated videos. Additionally, HelloMeme supports facial expression control through ARKit's blend shapes, and enables the seamless integration of SD1.5-based Lora or Checkpoint, ensuring that it does not compromise the generalization ability of the T2I model.