How to Get 16 Camera Angles of Any Scene with AI

Most artists and labels stare at a release with no content budget and assume the answer is to wait, cut corners, or skip promotion entirely. This session makes the case that the constraint was never money — it was knowing the workflow. Sebastian Mourra, CEO of Visuals.fm, walks through the complete process of building AI UGC ads from a single album cover: generating a photorealistic fake creator, turning the cover art into a 3D vinyl sleeve or an original hoodie design, placing the product in the creator's hands, animating that still into an eight-second vertical video with scripted dialogue, and stitching multiple scenes into a single continuous ad ready for TikTok or Meta paid social. Every prompt is shown on screen. Every mistake — including content flags, off-hand phones, and drifting text — is worked through in real time, which makes this less of a demo and more of an honest tutorial. Try Visuals today Visuals.fm Takeaways Coverage is what makes video feel cinematic, and generating a 4x4 grid of 16 angles from a single image directly solves that problem without a camera crew or repeated generation attempts. The workflow is three steps: generate the multi-angle grid from a reference image, extract the individual frames you want as full-resolution standalone images, then animate each one into video and stitch them together in the editor. This approach works across subject types. Meaning it's as useful for a brand product shoot as it is for a music video or personal content. AI in this context isn't replacing the director or photographer; it's a pre-production tool for storyboarding, scouting angles, and testing ideas before committing budget to a real shoot. Prompt quality drives output quality. Using a detailed, structured prompt that specifies shot types, camera diversity, and grid formatting produces far more consistent and usable results than a simple instruction. Sound Bite: "AI is not there to just replace the creativity. It doesn't have to replace the photographer. It doesn't have to replace the director. This is our new creative tool." Chapters 0:00 — Why scene coverage is what separates cinematic video from flat AI clips 1:45 — What a 16-angle grid looks like (slideshow demo from one source image) 3:30 — Music video scene: man on a pier, generating the 4x4 grid 6:00 — How to set up the prompt and choose the right model (Nano Banana Pro) 8:15 — Jazz musician shoot: generating multi-angle coverage of a live performance 11:00 — Personal branding use case: generating angles from a single party photo 13:30 — Product shoot demo: Western Digital hard drive, multiple angles from one photo 16:00 — Street/location scene and dance performance demos 19:30 — Extracting individual frames from the grid as standalone high-res images 22:00 — Animating extracted scenes into video using the motion prompt tool 26:30 — Feeding the full 4x4 grid directly into the video generator 30:00 — Wrap-up and final workflow recommendations Find Sebastian Mourra online: YouTube: @SebastianMourra X/Twitter:   / sebastianmourra   LinkedIn:   / sebastianmourra   Website: Visit Visuals.fm Visuals is the AI-native visual engine for music teams. Every song deserves to be seen. Visit visuals.fm for more information and to start your free trial.