This is the SurePrompts hub for AI image prompts. If you generate images with Midjourney, ChatGPT/DALL-E, Google's Nano Banana, or Flux Pro, this page routes you to the right copy-paste prompt pack, the right deep-dive guide, and the right head-to-head comparison — grouped by what you are actually trying to do.
Quick Answer
Pick the model before you write the prompt, because each one rewards a different dialect:
- Stylized, cinematic, editorial work → Midjourney V7. Tightest iterative control, parameter flags for style and reference.
- Conversational iteration → ChatGPT / DALL-E. Describe, look, adjust — all in one thread.
- Precise edits, character consistency, accurate in-image text → Google Nano Banana. Built around instruction-following on edits and multi-image composition.
- Open-weights photorealism and full pipeline control → Flux Pro (and Stable Diffusion when you need ControlNet, LoRAs, and local ownership).
The prompt anatomy is shared across all of them — subject, style, lighting, composition, mood, and technical parameters. Once you have written that brief once, porting it to another model is a translation exercise, not a rewrite.
Info
New to image prompting? Start with the anatomy, not a tool. Our companion deep dive — how to write AI image prompts — teaches the six-slot brief that makes every model below easier to use. For the full canonical reference on the discipline, see the complete 2026 image-prompting guide.
Image Models at a Glance
Model strengths reflect the deep-dive guides linked in each row. Use this to route, not to rank — "best" depends on the job.
| Model | Best for | Prompt dialect | Start here |
|---|---|---|---|
| Midjourney V7 | Stylized, cinematic, editorial imagery | Parameter flags (--ar, --stylize, --sref, --cref, --seed) | Midjourney V7 prompting guide |
| ChatGPT / DALL-E | Conversational iteration, in-thread refinement | Natural descriptive sentences | ChatGPT image prompts |
| Google Nano Banana | Precise edits, character consistency, in-image text | Precise edit instructions, multi-image composition | Best Nano Banana prompts |
| Flux Pro | Open-weights photorealism, pipeline control | Weighted tokens, negative prompts | Flux Pro prompting guide |
For a broader survey of what is available and how the platforms stack up, see the best AI image generators of 2026.
The Shared Anatomy: Six Slots
Before you touch any model, know that a strong 2026 image prompt is a structured brief, not a pile of adjectives. Six slots carry across every model:
- Subject — what the image is of.
- Style — the visual idiom or reference (art movement, medium, period).
- Lighting — the source, direction, and quality of light.
- Composition — framing, lens, and angle.
- Mood — the emotional tone.
- Technical — aspect ratio, resolution, seed, and negative prompt where supported.
If you cannot name a slot — say, the lighting — the model will pick one for you, and it usually picks the generic one. The full breakdown, with worked examples, lives in how to write AI image prompts. The companion canonical pillar, AI image prompting: the complete 2026 guide, goes deeper on per-model dialects, negative prompts, and seeds.
Midjourney V7: The Stylized Workhorse
Midjourney V7 introduced video generation, draft mode, and tightened prompt adherence, alongside new parameters for motion, style consistency, and reference images. It is the strongest pick for stylized and editorial imagery, and it has the tightest control surface for iterative work — flags like --sref (style reference), --cref (character reference), and --seed let you change one variable at a time.
Start here:
- Midjourney V7 prompting guide — what changed in V7, how to migrate V6 prompts, and 50 tested prompts.
- Best Midjourney V7 prompts of 2026 — the copy-paste pack.
By specialty:
- Cinematic prompts — film-look stills and shots.
- Animation and VFX — motion and effects workflows.
- Fashion and editorial — runway, lookbook, and magazine styling.
- Product photographers — hero shots and catalog imagery.
- Logo and brand identity — marks, wordmarks, and brand systems.
ChatGPT / DALL-E: Conversational Iteration
ChatGPT's DALL-E integration is the best choice when you want to describe, look at the output, and refine in the same thread — no parameter syntax to learn. It rewards natural, descriptive sentences and tight integration with the rest of your GPT workflow.
Start here:
- ChatGPT image prompts for 2026 — 50 copy-paste prompts across portraits, products, logos, interiors, food, illustrations, and patterns, each specifying subject, style, lighting, camera angle, and aspect ratio.
By specialty:
- Portrait prompts — headshots and character portraits.
- Product photography prompts — clean, on-brand product shots.
- Food photography prompts — appetizing, editorial food imagery.
Google Nano Banana: Edits, Consistency, and Text
Nano Banana is Google's image model, and it plays to a specific set of strengths: precise instruction-following on edits, character consistency across multiple frames, multi-image composition, accurate text rendering, and photorealistic scene generation. If you need to edit an existing image, keep a character consistent across a sequence, or render legible in-image text, this is the model to reach for.
Start here:
- Best Nano Banana prompts of 2026 — 50 copy-paste prompts organized by use case for designers, marketers, and creators.
By specialty:
- Nano Banana product photography prompts — product placement and catalog work.
Flux Pro: Open-Weights Photorealism
Flux Pro is the go-to for photorealistic work when you want open-weights flexibility and more control over your pipeline. It rewards tokenized keywords with weights and supports negative prompts as a first-class input.
Start here:
- Flux Pro prompting guide — anatomy, weights, and photoreal workflows.
Image-Model Comparisons: Head-to-Head
When you are choosing between models rather than learning one, these direct comparisons do the work:
- Nano Banana vs Midjourney V7 — consistency and edits vs stylized control.
- Midjourney vs DALL-E — parameter-driven vs conversational.
- Best AI image generators of 2026 — the full-field survey.
- Midjourney V7 vs Sora 2 vs Runway vs Veo 3 — where image generation hands off to video.
Warning
Do not pick a model by its highest-scoring benchmark. Image-model quality is task-specific. A model that produces gorgeous stylized art may render text as gibberish; a model with flawless character consistency may feel flat for editorial work. Match the model to the slot that matters most for your job — text legibility, character consistency, photorealism, or style — and ignore the rest of the leaderboard.
From Brief to Builder
You do not have to write the six-slot brief from a blank page. SurePrompts can structure it for you:
- Browse the creative and design template categories for pre-built image-brief frameworks.
- Use the AI prompt generator to turn a plain-English description ("editorial product hero shot of a matte-black water bottle, golden-hour rim light, 4:5") into a structured, model-ready prompt.
- Open the SurePrompts builder to assemble and save your own reusable image-prompt templates.
Where to Go Next
- You know your model → grab its copy-paste pack above and start iterating.
- You are choosing between models → read the relevant comparison above.
- You need the anatomy → how to write AI image prompts.
- Your idea needs motion → move up to the AI video prompts hub.
FAQ
What are the best AI image models in 2026, and what is each one best at?
Four shapes dominate. Midjourney V7 is strongest for stylized, cinematic, and editorial imagery with the tightest iterative control. ChatGPT's DALL-E integration is best for conversational refinement — you describe, look, and adjust in the same thread. Google's Nano Banana excels at precise instruction-following on edits, character consistency across frames, multi-image composition, and accurate in-image text. Flux Pro is the go-to for open-weights photorealism. There is no single winner — the right model depends on the job.
Which AI image model should I use for product photography?
It depends on what you are after. ChatGPT/DALL-E and Nano Banana are both strong for product shots where you want to iterate conversationally or place a product into a scene with accurate text and labels. Midjourney V7 wins when you want a stylized, editorial product hero shot. SurePrompts has dedicated product-photography prompt packs for ChatGPT, Nano Banana, and Midjourney V7 — start with the one that matches your model.
Do the same image prompts work across Midjourney, DALL-E, and Nano Banana?
The brief is portable; the dialect is not. Every strong image prompt covers the same slots — subject, style, lighting, composition, mood, and technical parameters. But Midjourney rewards parameter flags, DALL-E rewards natural descriptive sentences and conversational follow-ups, Nano Banana rewards precise edit instructions, and Flux/Stable Diffusion reward weighted tokens with negative prompts. Write the brief once, then translate it per model.
How do I get consistent characters across multiple AI images?
Use the tool's character-reference feature where one exists — Midjourney's --cref, DALL-E's in-thread references — or lean on Nano Banana, which is built around character consistency across frames. Keep a fixed seed for structural similarity, lock lighting and style vocabulary across the set, and change only the slot you actually want to vary.
Where do I start if I have never written an image prompt?
Start with the anatomy. Read how to write AI image prompts to learn the six-slot brief, then pick a model and grab the matching copy-paste pack. Paste, look at the output, and adjust one slot at a time.
When should I move from image prompting to video prompting?
When motion, time, or continuity is load-bearing — a product demo, a narrative shot, a character action. Video models such as Sora 2, Veo 3, and Runway share the image-prompt anatomy but add motion, camera movement, duration, and (for Veo 3) audio as explicit slots. If the idea fits in a single frame, stay in image. If it needs a before and after, move up to the AI video prompts hub.