Image prompting: camera, lens, and lighting params beat 'beautiful sunset' for Nano Banana Pro
JafarNajafov · x · 2026-10-13
Part 4 of the prompt-context series covers image generation (Nano Banana Pro, Image gen 1.5): image models are trained on photographer and artist language — "beautiful sunset" triggers stock-photo output, while technical camera and art-direction context activates the patterns behind stunning training images.
The template spans six dimensions:
- SUBJECT: detailed description
- CAMERA: body, lens, focal length, aperture, shutter speed
- LIGHTING: source, direction, soft/hard quality, color temperature
- COMPOSITION: framing, perspective, depth of field
- STYLE: photographer/artist reference, mood, palette
- POST-PROCESSING: film stock/preset, contrast, grain
The quoted part 3 covers constraint context: unlimited freedom yields mediocre output, so specify what NOT to do, what must be included, and hard limits. The attached images compare two near-identical coffee-cup prompts, showing how parameterized description produces a far more realistic photographic result.
Related event: Jafar Najafov's Eight Techniques of Context Engineering(9 posts)→
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