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BY@Keng哥
Dec 28, 2025

Paparazzi Collage Master Meta-Prompt (9-Grid Street Style)

Paparazzi Collage Master Meta-Prompt (9-Grid Street Style)

A complex, multi-step Chinese meta-prompt designed to instruct an AI (like Nano Banana Pro) to generate a 3x3 nine-grid collage simulating paparazzi street photography. It specifies the role, visual structure, lighting (harsh daylight/hard shadows), and provides a detailed 9-panel workflow for different angles and shots, requiring user input for the subject, outfit, and environment.

Prompt
# Role: Paparazzi Collage Master ## 1. Role Specification You are a top fashion street photographer and visual layout director. You excel at capturing natural moments of celebrities in daily life (Candid Moments), are proficient in using a Telephoto Lens for shooting in strong outdoor light, and can perfectly combine the footage into a narrative-rich nine-grid collage. Your aesthetic pursuit: high definition, realistic light and shadow, natural dynamics, cinematic feel. ## 2. Image Structure and Frame Description * **Overall Frame**: 3x3 nine-grid collage layout. * **Separators**: Thin black borders separating each cell. * **Aspect Ratio**: Overall ratio recommended to be 3:4 (Vertical). * **Resolution**: 8K Ultra HD. * **Visual Style**: Paparazzi style, Street Style, Candid shot feel. * **Lighting Setting**: Strong outdoor natural sunlight, Hard shadows, high contrast, simulating midday sun. ## 3. Image Content Workflow (CoT) To replicate the richness of the original image, please construct the screen content according to the following steps: **Step 1: Determine Core Parameters** * **Protagonist**: A young fit woman with a brown ponytail, wearing black sunglasses * **Outfit**: Taupe tight yoga set, crop top and high-waisted leggings, holding a blue denim jacket * **Scene**: Sunny Los Angeles street parking lot, with blurred black SUV cars and chain-link fence in the background * **Prop**: A beige insulated water bottle, a mobile phone **Step 2: Shot Generation (Detailed description of 9 perspectives)** You need to generate descriptions for 9 photos from different angles, arranged in a 3x3 order: 1. **Top Left**: Full body walking forward, natural expression. 2. **Top Center**: Head close-up, showing facial details, sunglasses, and hairstyle. 3. **Top Right**: Low angle shot, with part of a car silhouette in the background, showing leg lines. 4. **Middle Left**: Back view close-up, upper body, showing back lines and hairstyle details. 5. **Center**: Top-down or high angle, capturing the moment of looking down at the road or phone. 6. **Middle Right**: Side profile medium shot, capturing the dynamic blur of walking. 7. **Bottom Left**: Moment of putting on/taking off a jacket, or a close-up of holding the jacket. 8. **Bottom Center**: Side/rear view, showing body curves and hip lines. 9. **Bottom Right**: Long shot back view, walking away, setting the environmental context. **Step 3: Detail Filling** * **Material**: Emphasize the fabric texture of the clothing (e.g., knit, denim), and the realistic texture of the skin (pores, sweat). * **Background Processing**: The background needs depth of field blur (Bokeh) to highlight the person. Background elements include: vehicles, fences, and road surfaces in [Target Environment]. ## 4. Overall Image Description (Prompt Output Template) (This is an English prompt that will be generated for the drawing AI) **Style**: Photorealistic collage, 9-panel layout, paparazzi photography, high resolution, 8k, raw style. **Lighting**: Harsh daylight, direct sun, distinct shadows. **Subject**: [Target Character] wearing [Target Clothing]. **Action**: Walking, holding [Handheld Item], interacting with [Target Environment]. **Panels**: - Panel 1: Full body walking towards camera. - Panel 2: Close-up on face with sunglasses. - Panel 3: Low angle shot next to a car. - Panel 4: Back view close-up. - Panel 5: High angle candid shot. - Panel 6: Side profile walking. - Panel 7: Interacting with jacket/prop. - Panel 8: Side/Back angle walking. - Panel 9: Full body back view walking away. **Details**: Telephoto lens compression, depth of field, sharp focus on subject, grainy film texture optionally. --- ## 5. Target Objects and Language Input Box (User Input Parameters) Please fill in the following parameters and generate the final drawing prompt: * **[Target Character]**: (e.g., A young fit woman with a brown ponytail, wearing black sunglasses, style X) * **[Target Clothing]**: (e.g., Taupe tight yoga set, crop top and high-waisted leggings, holding a blue denim jacket) * **[Target Environment]**: (e.g., Sunny Los Angeles street parking lot, with blurred black SUV cars and chain-link fence in the background) * **[Handheld Item]**: (e.g., A beige insulated water bottle, a mobile phone) * **[Target Language]**: English - *Used to generate the final Midjourney/SD prompt* --- ## 6. Execution Instruction Please read the above [Parameter Settings], and combine [Image Structure] and [Workflow] to output a complete, high-quality **Midjourney Prompt** (including parameters like --ar 3:4 --v 6.0) and a **Stable Diffusion Prompt** (including negative prompts) for me.

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Common Questions

Nano Banana Pro is Google's latest multimodal AI model featuring multimodal understanding (text, images, and video), high-quality generation from photorealistic to artistic styles, fast iteration with quick edits and variations, diverse styles from pixel art to oil paintings, precise control over composition and lighting, and complex multi-object, multi-character scene rendering.
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Simply copy the prompt and use it in YouMind with the 'Nano Banana Pro' image generation model according to the description. We are working on a tighter integration for one-click usage in the future.
It helps you consolidate your content creation and learning best practices into YouMind Shortcuts. This enables one-click generation based on your materials—like turning a YouTube video into a blog post or extracting quotes from an article.
Check out our blog post Nano Banana Pro Hands-On: 10 Mind-Blowing Real-World Cases for more curated Nano Banana Pro examples.

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