Create a rainy monochrome noir scene
Build an invented film-still composition with a small anonymous figure, wet paving and directional street lighting. Customize the coat and urban setting.
Tools: ChatGPT built-in image generation
What to provide
- Describe non-branded clothing for the fictional anonymous adult.
- Keep a plausible outdoor street setting with wet paving.
Example Recorded test output
Input
Recorded inputs (2026-10-28): Subject outerwear: long coat Nighttime street setting: rain-soaked city street These defaults expand to the exact prompt used for the saved output. No reference image was supplied.
Output
Recorded AI-generated output from the exact default inputs. Reflected light separates the figure from the background. The output expands the brief into a riverside streetscape with extra lamps and architecture.

Tool settings
Actual recorded run: 2026-10-28. Built-in image_gen tool; model name, seed and quality setting were not exposed. Opaque background. Saved PNG: 1536 × 1024. No reference image. Layout directions in the template describe the requested composition, not guaranteed output settings.
Improve the result
- Keep the figure size, wet paving and monochrome treatment. Remove the extra lights so one streetlamp dominates the scene.
- Inspect the result at full size and at its intended display size. Recheck text, object structure and any changed details.
Use this prompt
Keep the default inputs to copy the exact recorded generation prompt, or customize the fields for a new variation. Copy the completed text into an image-capable tool. New inputs and follow-ups are untested variations.
About the example
Reflected light separates the figure from the background. The output expands the brief into a riverside streetscape with extra lamps and architecture.
Newly generated fiction, not a real event or an existing film frame. The scene does not follow every composition constraint literally; small revisions may change unrelated details.
The slash labels are informal creative shorthand. This example was produced by built-in image generation; no model name was exposed.
Related guide
Read Image Prompts Set 1 for the full worked example and inspection notes.