How to prompt Veo 3.1
This Replicate blog post details how to prompt and utilize Google's new Veo 3.1 video generation model, highlighting its advanced features for creating realistic and controlled video content. The guide focuses on leveraging new capabilities like reference-to-video, first/last frame input, and enhanced image-to-video, while also providing code snippets for API integration.
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Reference-to-Video: Veo 3.1 can combine up to three reference images into a single, coherent video scene based on a text prompt, enabling precise character and object consistency across different scenarios.
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First/Last Frame to Video: The model interpolates between a specified first and last frame based on a text prompt, creating compelling transformations and enabling precise control over the video's narrative arc.
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Enhanced Image-to-Video: Improved image-to-video functionality exhibits better quality, more accurate prompt following, and incorporates intelligent logic for fluid and contextually relevant transitions.
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Speed vs. Quality Trade-Off: The platform offers "fast" versions of most endpoints (excluding reference-to-video) that generate videos more quickly and at a lower cost, albeit with a slight reduction in quality.
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Veo 3.1's reference image capabilities offer unprecedented control over video content, allowing users to place specific characters or objects into diverse scenes while maintaining visual consistency.
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The first/last frame feature is particularly useful for creating transformation sequences or videos with defined start and end points, enhancing control over the narrative.
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The model's intelligent transitions in enhanced image-to-video suggest an ability to reason from input images, creating more natural and purposeful motion.
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The availability of faster, cheaper generation options enables users to balance speed, cost, and quality based on their specific needs.