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Editing and refining generated content is just as important as the initial generation, and platforms that facilitate easy iteration save significant time. I often generate multiple variations of an image or video before selecting the best one, then use that as a starting point for further refinement. The Seedance 2.0 model supports this iterative workflow by allowing me to provide a previous generation as a reference for subsequent attempts, guiding the model toward my preferred aesthetic. For a recent project involving a fantasy landscape, I generated ten variations of a castle on a cliff, selected the best composition, and then used that image as a constraint for generating an animated flyover video. The video model respected the specific architectural details and lighting conditions from the reference image, producing a clip that matched my approved still exactly rather than drifting into a different interpretation. This tight integration between image and video generation is only possible within a unified platform, and it has become the cornerstone of my professional creative process.