If a cut between two wide shots in an AI video feels jarring, create a bridging shot. Take a screenshot of the last frame of the first clip, upload it to an AI tool, and prompt it to generate an upscaled close-up of the subject to smooth the transition.
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A systematic approach to AI video can reduce production time by over 90%. The process involves: 1) Finalizing the core idea, 2) Creating a detailed storyboard with scenes and dialogue, 3) Generating static reference images for each scene, and 4) Generating video clips and performing a final edit.
Successful AI video production doesn't jump from text to video. The optimal process involves scripting, using ChatGPT for a shot list, generating still images for each shot with tools like Rev, animating those images with models like VEO3, and finally, editing them together.
Most generative AI tools get users 80% of the way to their goal, but refining the final 20% is difficult without starting over. The key innovation of tools like AI video animator Waffer is allowing iterative, precise edits via text commands (e.g., "zoom in at 1.5 seconds"). This level of control is the next major step for creative AI tools.
Instead of using generic stock footage, Roberto Nickson uses AI image and video tools like FreePik (Nano Banana) and Kling. This allows him to create perfectly contextual B-roll that is more visually compelling and directly relevant to his narrative, a practice he considers superior to stock libraries.
Avoid the "slot machine" approach of direct text-to-video. Instead, use image generation tools that offer multiple variations for each prompt. This allows you to conversationally refine scenes, select the best camera angles, and build out a shot sequence before moving to the animation phase.
To control object reveals in AI video, use a picture-in-picture hack. Place an image of the target object (e.g., Beanie Babies) within the initial frame you upload for animation. The AI model will then use this reference to "outpaint" the scene, creating a seamless reveal of the desired object.
Start your Reel with a proven viral clip for the first few seconds. Then, use a "match cut"—where the last frame of the viral clip visually matches the first frame of your clip—to create a seamless transition into your own content. This grabs attention immediately while smoothly pivoting to your message.
Increase the watch time of your Reels by starting with a proven viral clip. Use a "match cut"—a seamless visual transition where the end of the viral clip matches the start of your content (e.g., matching a pose or movement). This hooks the viewer with the viral clip and carries their attention into your original video.
To maintain visual consistency in AI-generated videos, don't rely on text-to-video prompts alone. First, create a library of static 'ingredient' images for characters, settings, and props. Then, feed these reference images into the AI for each scene to ensure a coherent look and feel across all clips.
To maintain visual consistency across an action sequence, instruct your AI image generator to create a 2x2 grid showing four distinct moments from the same scene. This ensures lighting and characters remain constant. You can then crop and animate each quadrant as separate shots.