A good shot prompt names a subject, an action, and a camera, then fixes the look with one style term and one mood term. This is the full vocabulary Breme composes prompts from, 124 terms across camera, style, mood, action, and music, with the exact phrasing each one adds to the prompt.
Breme builds prompts from slots rather than free text. You name the subject, then pick from the vocabulary below for each slot, and the composer joins them in an order the models read well. The same five slots make a useful checklist even when you write the prompt by hand somewhere else.
A lighthouse keeper climbing a spiral staircase, low angle, slow dolly in, cinematic, ominous
A chef cooking in a busy kitchen, close-up, shallow depth of field, documentary photography, joyful
A vintage car driving a coastal road at dusk, wide shot, drone aerial shot, photorealistic, nostalgic
Each example reads subject first, then action, then camera, then style, then mood. Swap any single term to change one variable at a time; changing several at once makes it hard to tell what moved the result.
Same subject, same camera, same model, same seed. The only difference between these four frames is the style term at the end of the prompt.
A lighthouse keeper climbing a spiral staircase inside a lighthouse tower, low angle, [style]




Generated on FLUX 2 Pro, one of the image models Breme runs, at a fixed seed. July 2026.
Shot size, angle, movement, and lens. Camera terms do the most work in a video prompt because they decide how the subject is framed and how the frame moves.
The visual treatment, from photographic looks to painting, illustration, digital, and vintage print styles. One style term is usually enough; stacking several muddies the result.
The emotional register of the shot. Mood steers lighting, color, and pacing without naming any of them directly.
What the subject is doing. Video models need a verb to animate; a subject with no action tends to return a near-still frame.
Genre terms for the audio composer. Pair one with a tempo and a mood to score a finished cut.
A subject, an action, and a camera instruction cover most of it. Video models need a verb to animate, so a subject with no action often returns a near-still frame. Add one style term and one mood term to fix the look, then stop. Long prompts that stack many competing adjectives usually produce worse results than short specific ones.
One, in most cases. Style terms compete with each other, so combining photorealistic with oil painting and pixel art gives the model contradictory instructions. Pick the dominant look, then use mood to shade it.
No. The generate view exposes these terms as chips grouped by slot, so you tap the camera, style, and mood you want and Breme composes the final prompt. This page lists the same vocabulary along with the exact phrasing each chip contributes.
Largely yes. The camera, style, and mood vocabulary here is standard film language rather than syntax specific to one model, so it transfers to most text-to-video and text-to-image systems. What differs between tools is how much weight each model gives to camera movement.

Every term here is a chip in Breme. Tap the shot you want and the prompt composes itself.