Image-to-Video Is a Constraint Problem: A Practical Seedance 2.0 Workflow

In essence, generating videos from images is a complex task that involves more than just uploading a picture and describing motion. The challenge lies in the model's need to extrapolate and invent details not present in the original image, leading to issues like identity drift and flickering textures. This new workflow aims to address these challenges by providing a more structured approach to creating realistic, coherent videos from static images, emphasizing the importance of constraints to guide the model's creative process. The implications are huge, especially for applications in animation, virtual reality, and augmented reality, where seamless, high-fidelity video generation from images is critical.