
Cinematic Motorcycle Route Poster
Generates a dramatic golden-hour motorcycle travel poster with a glowing navigation route overlay for a chosen road trip.
This is a GPT Image 2 prompt case for Graphic & Poster. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2 Prompts attribution plus commercial-use rights before reuse.
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Prompt
Copy-ready prompt
Create an ultrarealistic cinematic motorcycle travel poster at golden hour. A black touring/cruiser motorcycle with exactly 2 riders appears in the right foreground, seen from slightly behind and beside them as they ride on a curving two-lane mountain road; both wear glossy black full-face helmets, dark biker clothing, gloves, and backpacks, with the front rider’s tattooed forearm visible. The road bends left into a dramatic Pyrenees-style valley with a stone retaining wall on the right, guardrail on the left, distant small motorcycles ahead, steep mountains, trees, orange sunset light, lens flare, and heavy glowing clouds. Overlay a futuristic amber navigation interface as if projected onto the road and air, with warm neon-yellow lines, thin HUD typography, subtle transparency, scanline texture, and a cinematic movie-poster finish. On the upper right, place one large rectangular route panel with glowing border and these exact visible labels: top label “RUTA EN MOTO”; row label “SALIDA” with departure {argument name="starting point" default="Ribes de Freser"}; row label “DESTINO” with very large destination {argument name="destination" default="Puigcerdà"}; bottom metrics showing {argument name="distance" default="53 km"} and {argument name="travel time" default="1 h 13 min"}; include a simple upward arrow on the right side of the panel. On the road surface, project exactly 1 glowing route map, a bright winding line following the perspective of the asphalt from the lower right foreground toward the left distance, with fine terrain-map lines and place labels: “Campdevànol”, “Sierra de Montgrony”, “N-260” shown twice, “A”, “B”, “Osseja”, “Saillagouse”, “Llívia”, “Puigcerdà”, and “La Molina”. In the lower left, add exactly 1 small legend box with 3 icon rows labeled “Restauración”, “Mirador”, and “Gasolinera”. Use a warm amber-and-black color grade, high contrast, realistic motion blur on the road, detailed motorcycle reflections, no extra UI panels, no watermark, and keep all overlay text crisp and legible.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
Best for
- - Graphic & Poster visual exploration
- - Image generation and reference-image edits
- - Reusable briefs that keep source attribution visible
Change these parts
- - Subject, product, character, or scene
- - Aspect ratio, camera, lighting, and background
- - Brand, text, color, and output constraints
Recommended model and settings
- - Model: gpt-image-2
- - Input mode: Text to Image
- - Aspect ratio: source
- - Commercial status: review original source
How to use this prompt
- 1. Copy the prompt and preserve its structure for the first test.
- 2. Replace the subject, context, and publishing channel.
- 3. Change one camera, lighting, or style variable per iteration.
- 4. Inspect the output, source, text, and rights before reuse.
Limitations, source, and reuse cautions
- - Generated output is an editable draft, not factual, legal, or rights evidence.
- - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
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Reuse and source notes
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- 1.Copy the prompt or open it directly in Dovoo with the generation button.
- 2.Adjust variables, aspect ratio, and reference images for your own use case.
- 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.
Can I use this prompt commercially?
Commercial-use status is allowed. Review the original source, license, brand constraints, and legal requirements before paid usage.
Where does this case come from?
This case is imported from Awesome GPT Image 2 Prompts; keep attribution visible and check the source URL before reuse.





