This ComfyUI Img2Vid workflow is created by based on the exceptional work of . This workflow focusing on dynamic image generation and adjustment, consists of AnimateDiff LCM, IPAdapter, QRCode ControlNet, and Custom Mask modules. Each of these modules plays a crucial role in the Img2Vid process, enhancing the quality of morphing animation.
1. AnimateDiff LCM Module:
Integrates the AnimateLCM model into the AnimateDiff setup to accelerate the rendering process. AnimateLCM speeds up video generation by reducing the number of inference steps required and improves result quality through decoupled consistency learning. This allows the use of models that typically do not produce high-quality results, making AnimateLCM an effective tool for creating detailed animations.
2. IPAdapter Module:
Utilizes the attention mask function of IPAdapter to achieve morphing between reference images. Users can generate dedicated attention masks for each image, ensuring smooth transitions in the final video.
3. QRCode ControlNet Module:
Uses a black-and-white video as the input for the ControlNet QRCode model, guiding the animation flow and enhancing the visual dynamics of the morphing sequence.
4. Mask Module:
Provides three preset masks and allows users to load custom masks. All these masks can be switched with a simple one-click operation to achieve various effects.
1. Image Loading and Mask Application
2. Image Adjustment
3. Parameter Adjustment
For more information and to view the original work, please visit the Civitai page of the author .
© Copyright 2024 RunComfy. All Rights Reserved.