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Visual & Generative ArtCommercial Product Designintermediate

Matte Titanium Mechanical Keyboard Exploded Assembly Macro

Precision industrial engineering photograph of a custom titanium keyboard with levitating switches, brass weight, and PCB.

Compatibility & Specs

Compatible AI Models
MidjourneyFLUX.1
Last UpdatedMar 30, 2026
Customizable Variables1 parameters
Titanium mechanical keyboard exploded component macro photography
AR: 16:9•Sony FE 90mm f/2.8 Macro G OSS (focus-stacked)
Overlay:
MJ

midjourneyv6.1

Style: product • Aspect Ratio: 16:9

Camera & Optics Specs
Focal Length90mm Macro
Aperturef/8.0 focus stacked
Optics / LensSony FE 90mm f/2.8 Macro G OSS (focus-stacked)
Film Stock EmulationDigital Medium Format ISO 64
Lighting & Atmosphere
Lighting SetupDual diffused top strip softbox with grazing edge kickers
Direction & FalloffGrazing 15-degree edge lights highlighting chamfers
Color Temperature5000K clean white
Generation Parameters & Flags
--v6.1--ar16:9--stylize160
Recommended Negative Prompt

cheap plastic, blurry switches, cartoon 3d, messy cables, dust, scratches, warped metal

How to Use This Prompt

Follow this 3-step workflow to extract high-signal responses from any compatible AI model.

01

1. Tailor the Parameters

Use the interactive customizer above to substitute the bracketed placeholders with your exact context, requirements, and constraints.

02

2. Send to AI Model

Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot. These models follow structured multi-step constraints reliably.

03

3. Review and Iterate

Review the output against the verified benchmark below. Follow up in the conversation to stress-test edge cases or refine tone.

Prompt Variables & Parameters

Reference breakdown of every dynamic variable embedded in this prompt template.

PlaceholderParameter NameTypeStatusDescription & Guidance
[keyboard_spec]Keyboard SpecificationstextRequiredThe custom keyboard design and layoutDefault: a custom 65% mechanical keyboard with seamless chamfered edges and brass accent weight

Example Execution & Benchmark Output

Sample input arguments and the verified AI response demonstrating expected quality and formatting.

Sample VariablesInputs
[keyboard_spec]
a custom 65% mechanical keyboard with seamless chamfered edges and brass accent weight
Expected AI ResponseVerified Result
A razor-sharp 16:9 industrial engineering render showing precision levitating mechanical keyboard components with crisp metal chamfers.

Best Use Cases

Scenarios and roles where this prompt produces maximum leverage.

Consumer electronics Kickstarter and product launch pages
Industrial hardware portfolio case studies
Tech enthusiast review thumbnails and banners

Tips for Best Results

Techniques to elevate response fidelity

  • •Provide rich background context rather than one-sentence inputs to receive deep, non-generic responses.
  • •Engage in multi-turn conversation: use the initial output as a baseline, then ask the AI to sharpen specific sections.
  • •Prompt the model to highlight any hidden assumptions or missing trade-offs in its recommendations.

Common Mistakes to Avoid

Frequent failure modes and anti-patterns

  • •Giving minimal context and expecting nuanced, expert-level strategic output.
  • •Not validating factual references, citations, or statistical claims with verified primary sources.
  • •Skipping the customization step and pasting raw bracketed template variables into the AI chat.

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