Generating Images with Consistent Branding
Create a master prompt for use with an AI image generator such as Nano Banana, to create consistent image branding.
Use This When
General business and marketing workflows.
Inputs Needed
Brand kit, audience, asset type, dimensions, visual examples, usage channel, do/don't references.
Expected Output
Creative brief with positioning, art direction, layout guidance, asset specs, QA checklist.
The Workflow Prompt
You are a brand strategist and creative director. Objective: Generating Images with Consistent Branding Context: Create a master prompt for use with an AI image generator such as Nano Banana, to create consistent image branding. Original task: I want to create a series of on-brand images using Gemini 2.5 Flash (Nano Banana). Before we create any prompts, let's first build a clear Brand Visual Identity Guide. (Please describe your brand's visual style using the following points):Core Mood: Provide 3-5 adjectives that describe the feeling of your brand (e.g., "vibrant, energetic, optimistic" or "calm, minimalist, sophisticated").Primary and Secondary Colors: (List your main brand colors. If you have them, please provide specific hex codes for accuracy).Key Visual Elements: Describe any recurring subjects, motifs, or styles (e.g., "line art illustrations of nature," "close-up photography of textures," "3D clay-style characters").Elements to Avoid: List anything that would feel off-brand (e.g., "no human faces," "avoid dark or moody colors," "no sharp angles").Based on these details, please write a single paragraph summarizing my brand's visual identity to confirm you understand the style we are aiming for. Inputs I may provide: Brand kit, audience, asset type, dimensions, visual examples, usage channel, do/don't references. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Standard response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: Creative brief with positioning, art direction, layout guidance, asset specs, QA checklist. Caution: Avoid generic output; require concrete examples, assumptions, and next steps.
QA Follow-Up Checklist
After the AI returns its output, verify against:
- Output is specific to the provided business/context.
- Assumptions are clearly labeled.
- No unsupported claims without source checks.
- Next actions are clear and usable.
Follow-Up Prompt
Now turn the result for 'Generating Images with Consistent Branding' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.
Avoid / Cautions
Avoid generic output; require concrete examples, assumptions, and next steps.
How Different Verticals Use This Workflow
Restaurant & Hospitality
A 4-location wine bar building a brand visual guide feeds in hex codes from their menus, three reference photos of their actual interiors, and a negative-prompt list ('no stock-photo wine glasses, no people, no marble countertops'). They get a master prompt producing 40 on-brand social assets monthly, replacing $1,800 in stock photo subscriptions.
Retail & E-commerce
A DTC homewares brand with 200 SKUs feeds in their pastel palette hex codes, three lifestyle reference shots, and a negative list ('no white background, no overhead flat-lay, no perfect symmetry'). They produce lifestyle context images for product pages where photography isn't budgeted — lifting average time on page by 14% on tested products.
Professional Services & B2B
A 12-person fintech consultancy needing visual assets for thought-leadership content feeds in their navy/orange brand hex codes, three reference images of editorial photography they admire, and a negative list ('no handshake imagery, no people in suits, no skyscraper night shots'). They produce 30 LinkedIn carousel covers monthly without commissioning a designer.
Beauty & Personal Care
A clean beauty brand expanding into wellness builds a master prompt feeding in their muted earth-tone palette, three lifestyle reference shots, and a sharp negative list ('no flowers, no white backgrounds, no clinical packshots'). They produce ad creative variations 6x faster than their previous photographer-only workflow, holding brand consistency.
Local & Trade Services
A regional landscape design firm builds a brand image system feeding in three real project photos, their muted green palette, and a negative list ('no obviously rendered grass, no perfect skies, no plastic-looking plants'). They generate seasonal social content and concept moodboards for client pitches without a $200/hr designer on retainer.
Frequently Asked
What inputs make AI image branding actually consistent across batches?
Hex codes (not color names — 'warm sand' returns 12 different things), three real reference images from your existing brand (not adjectives), and a documented list of what to never include. The negative prompt list is the single biggest variable people skip. Without it, every batch drifts into stock-photo aesthetic by the third generation.
Should I use Nano Banana, Midjourney, or DALL-E for brand images?
Nano Banana (Gemini 2.5 Flash) for fast iteration and tight control on a defined style. Midjourney v7 for cinematic and editorial quality. DALL-E 3 inside ChatGPT for text rendering inside images, where it still beats everything. Don't use one tool for everything — pick by use case. The prompt produces a master brief; reuse the brief across all three engines with format-specific tweaks.
How do I stop AI images from looking like AI?
Three rules. One: specify a real camera and lens ('shot on Canon R5 with 85mm f/1.4') — generic prompts default to that hyper-rendered look. Two: add intentional imperfection — 'slight motion blur,' 'natural shadow,' 'film grain at 800 ISO.' Three: feed reference images from real photoshoots in your industry, not other AI outputs. The recursive AI-on-AI loop is what creates the uncanny aesthetic.
When should I skip AI image generation entirely?
When you need real people on your team or real product on real customers. AI faces still get caught by attentive viewers and erode trust. When the image is going on a high-traffic page (homepage hero, primary ad creative), spend the $400 on a real photographer — the ROI is real. AI image generation is for volume secondary assets, social variations, and concept exploration.