HelloMeme
Integrating spatial weaving attention to improve the high-fidelity conditions of diffusion models
Product Details
HelloMeme is a diffusion model integrating spatial weaving attention, aiming to embed high-fidelity and rich conditions into the image generation process. This technology generates videos by extracting the features of each frame in the driving video and using them as input to HMControlModule. By further optimizing the Animatediff module, the continuity and fidelity of the generated videos are improved. In addition, HelloMeme also supports facial expressions generated through ARKit facial blend shape control, as well as Lora or Checkpoint based on SD1.5, implementing a hot-swappable adapter for the framework that will not affect the generalization ability of the T2I model.
Main Features
How to Use
Target Users
HelloMeme's target audience is researchers and developers in the field of image generation, especially those users who have needs for high-fidelity and rich condition embeddings. This technology can help them generate more natural and continuous images and videos, while reducing sampling steps and improving efficiency.
Examples
Generate avatar videos with realistic facial expressions.
Create animated videos with high continuity and rich detail.
Generate high-quality motion graphics in game or film production.
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