Open-Air Theater, made with GPT Image 2.5 Sunburst
Example made with GPT Image 2.5 Sunburst

Text to imageCinematic

GPT Image 2.5 Sunburst cinematic still promptOpen-Air Theater

The exact text-to-image prompt behind this picture, made with GPT Image 2.5 Sunburst.

Prompt

Wide 16:9 landscape frame. View from the audience at a nighttime open-air theater, a wooden stage lit by rows of paper lanterns, performers in vivid red and gold costumes caught mid-gesture, silhouetted heads of the audience in the foreground, warm glowing light against a deep blue night, cinematic photography, no readable text.

Prompts are kept in their original English to help reproduce the example. Copy one as it is, or adapt it for your project.

Opens GPT Image 2.5 Sunburst with this prompt and the settings below filled in.

135 tested GPT Image prompts →

Settings

Mode
Text to image
Aspect ratio
16:9
Quality
high
Price
From 2 credits

The exact price shows before you generate.

Make your own version

  1. For a different mood, rewrite only the light: a wooden stage lit by rows of paper lanterns.
  2. cinematic photography sets the whole feel of the shot. Swap it for another camera style to change the vibe.
  3. The prompt ends with no readable text. Leave that in, or the model may add random lettering.

Where this idea comes from

Inspired by an idea from @Preda2005, collected in Evolink-AI/awesome-gpt-image-2-API-Prompts under CC0 1.0. PopNow wrote this prompt and made the example above.

Scene prompt guide

How the scene is composed

Performers in luminous stage attire take center stage in an open-air amphitheater viewed directly from the dark crowd. GPT Image 2.5 Sunburst cleanly balances the high-contrast exposure, using the warm lantern illumination on the wooden floorboards to carve out human movement against the cool evening backdrop while turning the audience into natural framing silhouettes.

  1. vantage point definitionWide 16:9 landscape frame. View from the audience at a nighttime open-air theater,

    Establishes an immersive spectator perspective looking up toward the performance. Altering this phrase moves the virtual camera onto the stage itself or pulls it into a distant bird's-eye festival view.

  2. environment and lighting basea wooden stage lit by rows of paper lanterns,

    Sets the rustic timber architecture and the warm, low-level illumination source. Removing paper lanterns defaults the lighting to generic modern floodlights and flattens the historic atmosphere.

  3. subject and color anchorperformers in vivid red and gold costumes caught mid-gesture,

    Introduces dynamic human action and saturated colors that contrast against the dark ambient surroundings. Without this, the model often generates an empty stage or static, indistinct actors.

  4. foreground depth layeringsilhouetted heads of the audience in the foreground,

    Places dark shapes at the bottom edge to simulate sitting in a real crowd. Removing this line flattens composition into a direct, clinical stage capture without theatrical depth.

  5. palette and cleanliness controlwarm glowing light against a deep blue night, cinematic photography, no readable text.

    Locks in the complementary amber and midnight-blue color scheme while stopping the model from generating accidental pseudo-language festival banners or stage signs.

Camera and light

Camera positioning and low-key contrast work together to establish depth between the dark viewing area and the brightly illuminated wooden stage.

Camera
Positioned at seated eye level several rows back, using the audience heads as natural framing along the lower third of the frame.
Lens
A moderate wide-angle perspective captures both the full width of the wooden proscenium and the sprawling night sky above it.
Light
A split-temperature palette pairs warm 2700K lantern glow across the stage floorboards with deep navy ambient sky light overhead.
Scale
The performers remain medium-distant figures, small enough to feel enclosed by the open night but detailed enough to show costume fabrics.

Variations on the scene

Morning rehearsal

Shifts the time of day to morning to capture architectural textures and solitary preparation under soft dawn sunlight.

Prompt

Wide 16:9 landscape frame. View from the back rows of a sunlit open-air theater during morning rehearsal, an empty wooden stage swept by long dawn shadows, a lone director standing near the edge, morning mist rising against evergreen trees, soft natural daylight, cinematic photography, no readable text.

Backstage wing angle

Alters the camera position to behind the proscenium wings for a performer-centric view looking out into the crowd.

Prompt

Wide 16:9 landscape frame. View from the side wings of a nighttime open-air theater, looking past wooden stage props at performers in ornate blue and silver robes mid-dance, glowing lantern light spilling toward a crowded dimly lit amphitheater, cinematic photography, no readable text.

Autumn orchestra performance

Changes the central subject from costumed actors to a classical ensemble framed by seasonal autumn foliage.

Prompt

Wide 16:9 landscape frame. View from the audience at an autumn nighttime open-air theater, an acoustic chamber orchestra playing on a wooden stage draped in golden leaves, warm paper lanterns hanging overhead, silhouetted crowd in the foreground, cinematic photography, no readable text.

Model and settings

Keep the aspect ratio set to 16:9 to match the wide theater expanse described in the prompt. Use high quality mode in text-to-image to allow GPT Image 2.5 Sunburst to cleanly render costume trim and lantern ribs without blending them into the dark background. If you adapt this concept for phone wallpapers, switch the aspect ratio to 9:16 and replace the wide landscape framing instruction with a vertical view.

  • FLUX.2 ProFLUX.2 Pro is ideal if you want photoreal human skin and precise hex color control over the warm lantern illumination and deep blue shadows.
  • Nano Banana 2.1Nano Banana 2.1 is the better pick when you need tack-sharp 4K clarity across intricate wood grain and silhouetted crowd outlines.

When the scene falls apart

The audience heads take up too much vertical space and block the actors on stage.
Replace 'silhouetted heads of the audience in the foreground' with 'low, unobtrusive silhouettes of heads along the very bottom edge'.
The warm lantern light bleeds across the whole frame, turning the night sky into flat muddy yellow.
Change 'warm glowing light against a deep blue night' to 'sharp contrast between isolated warm lantern light on stage and a pitch-black night sky'.
Nonsensical written signs or festival logos appear on the wooden stage beams.
Change 'no readable text' to 'completely blank weathered wooden boards without signage, banners, or typography'.

Questions about this scene prompt

How can I make the actors sharper without losing the crowd silhouettes?

Add 'spotlit actors in sharp focus centered on stage' directly after the costume description. This tells GPT Image 2.5 Sunburst to prioritize focal sharpness on the performers while leaving the foreground crowd naturally soft and dark.

Why does the night background look grey instead of dark navy?

Ambient lantern bounce can overexpose the scene. Reinforce the contrast by writing 'deep navy midnight sky, clear darkness above' to prevent the model from treating the lantern glow as general scene daylight.

Can I replace the paper lanterns with contemporary theater lighting?

Yes. Swap 'a wooden stage lit by rows of paper lanterns' for 'a wooden stage lit by warm overhead tungsten spotlights and floor footlights'. This preserves the amber glow while updating the production style to modern theater.