Big Sur

Drone view of waves crashing against the rugged cliffs along Big Sur’s garay point beach. The crashing blue waters create white-tipped waves, while the golden light of the setting sun illuminates the rocky shore. A small island with a lighthouse sits in the distance, and green shrubbery covers the cliff’s edge. The steep drop from the road down to the beach is a dramatic feat, with the cliff’s edges jutting out over the sea. This is a view that captures the raw beauty of the coast and the rugged landscape of the Pacific Coast Highway.

Why this prompt works

This was generated on OpenAI Sora. The prompt reads like a shot brief rather than a keyword list — it front-loads the subject, then layers in setting, motion, and lighting so the model has an unambiguous scene to render. Notice the explicit lighting and camera language. On Sora, naming the light source and mood ("warm glowing neon", "dramatic lighting") gives the diffusion model a strong prior and is one of the biggest levers on perceived quality. The honest takeaway: prompt specificity is doing most of the work. There's no magic token — it's a clear subject, a defined camera and light setup, and one concrete action, which is exactly what Sora needs to stay coherent.