Aesthetic Deconstruction: The visual employs a semi-realistic 3D rendering style typical of high-end promotional digital art. Key elements include soft global illumination, a pastel-neon color palette with holographic accents, and a shallow depth of field. This isolates the central subject against a bokeh-blurred twilight cityscape, using glowing neon framing to enhance the surreal, commercial aesthetic.
This Master JSON Prompt is engineered with Structural Logic and Database Mapping, allowing you to decouple the aesthetic style from the subject matter for highly scalable AI generation workflows.
⚙️ Rendering Specifications
- Aesthetic Anchors: Semi-realistic 3D, stylized character design, holographic textures, pastel palette.
- Illumination & Optics: Soft global illumination, neon rim lighting, f/1.8 shallow depth of field, bokeh.
- Optimal Aspect Ratio: 9:16
🚀 Master JSON Configuration
Use the Copy button below to integrate this logic into your agentic workflow or API pipeline:
{
"workflow_setup": {
"engine": "Midjourney v6 / Stable Diffusion XL",
"mode": "agentic_batch_processing"
},
"database_mapping": {
"subject": "young woman with curly blonde bob",
"apparel": "chunky pink knit sweater",
"action": "holding a modern smartphone",
"surroundings": "floating shopping bags, holographic textures, falling paper receipts",
"background": "blurred twilight cityscape"
},
"prompt_structure": {
"core_aesthetic": "Highly detailed 3D digital illustration, semi-realistic stylized character, pop surrealism",
"subject_injection": "{{subject}} wearing {{apparel}}, {{action}}",
"environmental_injection": "surrounded by {{surroundings}}, framed by glowing neon smartphone outline, set against {{background}}",
"lighting_and_render": "soft global illumination, neon rim lighting, pastel and holographic color grading, shallow depth of field, bokeh background, octane render style"
},
"parameters": {
"aspect_ratio": "--ar 9:16",
"stylize": "--s 250",
"quality": "--q 1"
}
}Workflow Execution Guide
Update the variables within the database_mapping object to alter the subject, clothing, or props. The prompt_structure will automatically bind these variables to the core_aesthetic and lighting_and_render instructions, ensuring visual consistency across dynamic generation batches.
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