Every AI image engine has a personality. We ran DALL·E 3 (via ChatGPT/Azure), Midjourney v6, and Gemini Image through PromptWorld’s Portrait, Product, and Landscape prompt libraries to see how they handle realism, stylization, typography, pricing, and governance. This 2025 guide distills what we learned so digital artists, brand designers, marketers, and product teams can pick the right model—or combine them inside a single workflow without blowing the budget or violating AdSense policies.
Model Overview
- DALL·E 3 – OpenAI model embedded in ChatGPT Plus/Bing/Azure. Excels at step-by-step prompts, photoreal products, and legible typography.
- Midjourney v6 – Discord-based diffusion with unmatched stylization controls, seeds, and aspect ratios; thrives on mood boards and concept art.
- Gemini Image (1.5 Pro/Flash) – Google’s grounded generator inside Gemini Advanced/Vertex AI with iterative edit tools, strong compliance, and Workspace integration.
Strengths & Weaknesses
- DALL·E: Best for packaging, clean lighting, and text on labels. Weakness: fewer high-drama styles unless guided heavily.
- Midjourney: Cinematic lighting, painterly detail, and rapid iteration with /vary. Weakness: typography and consistent faces require extra prompt discipline.
- Gemini: Accurate humans, brand-safe scenes, and easy edits inside Workspace. Weakness: can feel conservative; needs detailed prompts for dramatic flair.
Use-Case Comparison
- Stylized art / worldbuilding → Midjourney with Landscape prompts.
- Photoreal products & packaging → DALL·E paired with the Product Photography collection.
- Marketing & compliance-heavy scenes → Gemini plus Portrait prompts for realistic people + disclosures.
- Rapid campaign ideation → Generate mood boards in Midjourney, final hero renders in DALL·E, safety passes in Gemini.
Performance & Quality
- Speed: Midjourney fast (depending on subscription); Gemini Flash lightweight; DALL·E latency tied to ChatGPT.
- Prompt fidelity: DALL·E follows step lists, Gemini honors reference URLs, Midjourney loves descriptive adjectives and parameter tweaks (
--stylize,--ar). - Realism vs stylization: Gemini/DALL·E for realism, Midjourney for stylized art; mixing prompts lets you pick the right look per asset.
- Iteration: Midjourney’s
/varyand/blend, DALL·E’s “generate variations,” Gemini’s edit/undo loop.
Pricing & Licensing (Q1 2025)
- Midjourney: $10–$120/mo depending on GPU time; commercial use allowed under Terms.
- DALL·E: Included in $20 ChatGPT Plus (limited renders) or Azure OpenAI pay-per-image.
- Gemini: Google One AI Premium $20/mo for Gemini Advanced + image tools; Vertex AI usage-based for enterprises. Track spend via AI Tools Directory dashboards.
Prompt Compatibility & Workflow
- Portrait/Product/Landscape prompts work across engines—just adjust syntax. Example: add
--ar 3:4 --style rawin Midjourney, convert to full sentences for DALL·E, and include grounding references for Gemini. Store per-model tweaks inside Tutorials Hub shot logs and the AI Image Styles Library.
Safety & Governance
- Add disclosure hashtags (#AIgenerated) when publishing.
- Review for bias, copyrighted logos, and likeness rights—Gemini offers content filters; DALL·E/Gemini auto-watermark in some deployments.
- Log approvals and negative prompts (e.g., “no logos, no text”) in Tutorials Hub to stay AdSense-compliant. Reference the AI Trend Report 2025 for evolving policies.
Examples & Case Studies
- Product hero test: Prompt “Minimalist perfume bottle on marble with soft rim light, legible serif label, 4K” → DALL·E nails text and reflections; Gemini produces compliant, slightly softer lighting; Midjourney delivers moodier art for campaigns.
- Portrait concept: Prompt from the Portrait collection (“Editorial portrait, 85mm lens, clamshell lighting”) → Gemini renders realistic skin and wardrobe; DALL·E solid but slightly stylized; Midjourney gives high-fashion flair—ideal for lookbooks.
- Landscape storyboard: Landscape prompt (“Sunset canyon vista, volumetric fog, 21:9”) → Midjourney outputs striking cinematic frames; DALL·E produces clean travel visuals; Gemini offers grounded geography for tourism decks.
Recommendations & Best Practices
- Prototype in Midjourney, finalize in DALL·E, policy-check in Gemini for client-grade assets.
- Maintain a shared prompt registry noting which model generated which asset and any parameter tweaks.
- Use automation (Zapier/Make) to route prompts through different APIs when you need multiple styles fast.
- Reassess quarterly as pricing/models evolve; align with Tutorials Hub governance reviews.
Try these models → Use our prompt collections with DALL·E, Midjourney, or Gemini → Learn optimization in our Tutorials Hub →