1. What to replace:
Replace each {{placeholder}} with the specific details of your product, desired studio setting, surface, and brand aesthetic.
2. How to customize variables:
- product_name: Specify your item's packaging, texture, and materials (e.g., matte ceramic jar, leather sneaker, amber dropper bottle).
- surface_material: Choose a podium or base that complements your product (e.g., polished dark marble, natural sandstone, acrylic block).
- background_setting: Adjust colors and backdrops to match your brand palette (e.g., warm terracotta, crisp seamless white, moody slate grey).
- lighting_setup: Select dramatic directional spotlights, soft commercial diffusers, or golden-hour rim lights.
- camera_angle: Use eye-level for classic ecommerce, low-angle for commanding presence, or flat lay for lifestyle spreads.
- mood_aesthetic: Fine-tune the atmosphere (e.g., minimalist Scandinavian, bold energetic street, luxury apothecary).
3. Compatible AI Tools:
Midjourney (v6+), Flux.1 (Dev/Schnell), DALL-E 3, and Stable Diffusion (SDXL).
4. Expected Result:
A clean, photorealistic commercial product image with balanced studio lighting, authentic material textures, and catalog-ready composition suitable for online stores, print ads, and social media advertising.
Create a commercial-grade, hyper-realistic studio product photograph of {{product_name}}.
Composition and Framing:
- Framing: Centered {{camera_angle}}, isolating the product as the hero focal point with elegant negative space.
- Surface and Base: The product rests steadily on {{surface_material}}, featuring physically accurate reflections, contact shadows, and realistic surface micro-textures.
- Background: {{background_setting}}, ensuring clean separation between foreground product and backdrop without distracting artifacts.
Lighting and Atmosphere:
- Lighting: {{lighting_setup}}, producing natural specular highlights along product contours and soft, feathered shadow transitions.
- Mood and Aesthetic: {{mood_aesthetic}}.
- Color Treatment: Rich, authentic color grading with accurate product materials, vibrant natural hues, and balanced contrast.
Technical and Photographic Details:
- Camera and Lens Look: Shot on Hasselblad H6D-100c with 120mm macro lens at f/5.6, razor-sharp focus on the primary product label and silhouette, delicate optical bokeh in the background.
- Quality and Render: Ultra-detailed 8K resolution, photorealistic commercial catalog quality, authentic glass and metallic reflections, zero chromatic aberration.
- Constraints: Clean composition, no duplicate items, no distorted text or logos, no low-resolution noise, no artificial plastic sheen.
Customize this prompt (fill variables)
How to use this prompt
Example: what to expect
Example input
product_name: luxury matte black stainless steel thermal water bottle with an engraved minimal logo
surface_material: textured charcoal slate slab with delicate micro water droplets
background_setting: deep moody charcoal-to-black studio gradient with subtle diffused fog
lighting_setup: high-contrast dual rim lighting with cool cyan edge light and warm golden accent
camera_angle: dynamic low-angle 45-degree hero shot with sharp foreground focus
mood_aesthetic: rugged, premium outdoor lifestyle and industrial luxury aesthetic
Example output
A striking, ultra-sharp commercial studio photograph featuring a matte black stainless steel thermal bottle standing firmly on a textured dark slate slab. Crisp, microscopic condensation droplets glisten across the slate surface, catching pinpoint specular highlights. High-contrast dual rim lighting outlines the sleek metallic silhouette of the bottle against a deep charcoal studio gradient, while subtle cool cyan edge lighting separates the product from the dark backdrop. The composition is clean, centered, and balanced, evoking a high-end luxury outdoor brand catalog aesthetic with flawless material fidelity.
Variables explained
| Variable | What to enter |
|---|---|
{{product_name}} |
Specify the product type, container material, colors, and key physical details. |
{{surface_material}} |
Describe the podium, tabletop, or surface the product rests on. |
{{background_setting}} |
Set the studio background color, gradient, or subtle ambient elements. |
{{lighting_setup}} |
Define the light direction, softboxes, rim lighting, or natural window light. |
{{camera_angle}} |
Choose the angle (e.g., straight-on, low-angle hero, flat lay, 45-degree angle). |
{{mood_aesthetic}} |
Specify the visual tone, such as luxury editorial, organic earthy, or high-tech clean. |
Tips for better results
Best used for: Product photography
- Give the AI context first: who you are, who the audience is, and what “good” looks like for you.
- Ask for output in a specific format (bullets, table, markdown) when you need structure.
- If the result is close but not perfect, reply with “keep the structure, make it more…” — do not start over.
- For long tasks, split the prompt into steps instead of expecting one giant answer.
- Different tools behave differently — ChatGPT, Claude and Gemini each have their own style. Try this prompt on the tool you use most.
About Midjourney — tool notes
High-quality image model known for aesthetic results and strong parameter control.
Describe the scene, then add parameters: --ar 16:9 --v 6 --style raw --no text,watermark. Keep subject descriptions unambiguous.
How to use this Image Generation prompt effectively
What this prompt does
Generate commercial-grade studio product photos with customizable subjects, luxury surface pedestals, controlled studio lighting, and crisp high-resolution detail for ecommerce and marketing campaigns.
Getting the most out of it
- Copy the prompt and paste it into your AI tool of choice (Midjourney).
- Fill the variables in curly brackets with your own topic, audience and tone — the customize button above builds a ready version for you.
- Review the first draft for facts and style before using it. AI output is a starting point, not a final product.
- Iterate: tell the AI what to keep and what to change. Small corrections beat re-typing the whole prompt.
Common mistakes to avoid
- Leaving the {{variables}} unfilled — the AI then guesses your topic.
- Expecting one output to be perfect — plan for 2–3 rounds of refinement.
- Pasting confidential information into public AI tools.