Seedance 2.0 Works Best as a Constraint Workflow, Not a Prompt Contest

Image-to-video generation tools like Seedance 2.0 are commonly misunderstood as simple prompt-based interactions, but the real challenge lies in managing constraints to prevent identity drift, texture flicker, and unstable lighting. The core principle is that a source image acts as a contract defining what the model can reliably preserve, not just a starting frame. Practitioners are advised to use high-resolution references of at least 768 pixels on the shortest side, with clean backgrounds and even lighting to help the model maintain subject identity. Image-to-video mode is best suited for product shots, character portraits, and approved campaign stills where visual consistency is critical, while text-to-video works better for abstract or atmospheric content. Evaluating one variable at a time and matching motion requests to what the source image can actually support are presented as the key steps in a reliable production workflow.