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Image Generation Prompts

A comprehensive library of 72 optimized image generation prompt styles across 12 categories, each with multiple contextual prompt variations tailored for real-world use cases. Every style doc provides copy-paste prompts for Nano Banana 2 (featured), ChatGPT, Midjourney, and Stable Diffusion — simply replace [PLACEHOLDERS] with your own content.


If you just want to generate something great right now:

  1. Pick a style from the categories below.
  2. Open the style doc and go to the Nano Banana 2 section (listed first).
  3. Choose the variation that matches your use case (e.g., “Social Media Post,” “Desktop Wallpaper,” “Character Portrait”).
  4. Copy the prompt, replace the [PLACEHOLDERS], and paste into Nano Banana.
  5. Iterate — use follow-up messages to refine colors, composition, lighting, or details.

Have a reference photo? Jump to the Image-to-Image Transformations section to transform existing images into any style.


Each prompt is provided in four platform-specific variants. Understanding their strengths will help you get the best results. The guide also covers three additional platforms — FLUX, Ideogram, and Recraft — worth reaching for when their specialties match your use case; the prompts in this library adapt to them with minor tweaks.

Section titled “🔵 Nano Banana 2 (Featured — Best Overall Quality)”

Nano Banana 2 (powered by Gemini 3.1 Flash Image) is a major upgrade over the original. Treat it as a full-featured creative engine, not a quick-filter tool.

  • Style: Detailed, structured natural language. Front-load the asset type and primary subject, then layer in style, lighting, and composition details.

  • Strengths: Combines pro-model quality with flash-model speed. Supports multi-turn conversational refinement, search grounding (reference real-world subjects by name), accurate text rendering, character consistency (up to 5 characters), and output up to 4K resolution.

  • Why It’s Featured: NB2 consistently produces the most detailed, accurate, and stylistically faithful results across all 72 styles in this library. Its conversational refinement loop means you can iterate toward perfection without re-writing your entire prompt.

  • Key Tips:

    TipDetails
    Be specific, not vagueNB2’s reasoning engine rewards precise descriptors for textures, colors, and lighting over generic adjectives
    Front-load important detailsPlace the asset type and primary subject at the beginning of your prompt
    Specify aspect ratiosExplicitly state the format: 16:9 for wallpapers, 3:4 for Instagram, 9:16 for stories, 1:1 for profile pictures
    Iterate conversationallyRefine with follow-ups: “Change the palette to warmer tones,” “Move the subject left,” “Add more texture to the background”
    Leverage search groundingFor real-world subjects, ask the model to reference accurate imagery: “Use image search to find accurate reference for [specific subject]”
    Use positive framingInstead of “no cars,” describe the scene you do want: “empty, deserted street”
    Specify camera/lensFor photographic styles, include lens (85mm, 35mm, macro), aperture (f/1.8, f/8), and camera angle (low, eye-level, bird’s eye)
    Name your lightingUse specific lighting terms: “Rembrandt lighting,” “golden hour,” “tungsten warm glow,” “volumetric fog”

Replaces the standalone DALL-E 3 model, which is deprecated as of May 2026.

  • Style: Fully conversational, natural language. Describe your scene as if briefing an artist.
  • Strengths: Excellent scene comprehension, precise spatial relationships, and iterative refinement through follow-up messages.
  • Tips: Be specific about subject placement, lighting direction, and mood. You can assign it a persona (e.g., “Act as a professional product photographer”) for higher fidelity. Use follow-up messages to adjust individual elements without re-describing the whole scene.

V7 is the current default model. Parameters like --v 6.0 are no longer needed.

  • Style: Natural language with parameters appended at the end. V7 has moved away from keyword stuffing toward descriptive sentences.

  • Key Parameters:

    ParameterPurposeExample
    --arAspect ratio--ar 16:9, --ar 4:5
    --sStylization (0–1000). Low = literal, high = artistic--s 250
    --noExclude elements (replaces negative prompts)--no text, blur
    --crefCharacter reference — maintains identity across images--cref [URL]
    --srefStyle reference — applies the aesthetic of a reference image--sref [URL]
    --iwImage weight for reference influence (0–2)--iw 1.5
    --chaosVariation in initial grid (0–100)--chaos 30
  • Tips: Place the most important visual information first. Use --niji for anime and illustration styles.

  • Style: Supports both keyword tags and natural language. Modern models (SDXL, SD 3.5) work best with descriptive sentences, structured as Subject → Action → Environment → Style/Lighting.
  • Negative Prompts: Use sparingly and only for specific unwanted elements. Bloated negative prompt lists degrade output quality on modern models. Try generating without negatives first, then add targeted exclusions as needed.
  • Tips: Avoid over-weighting (e.g., (keyword:1.5)) — use it to nudge, not force. Ensure your resolution matches the model’s native aspect ratio.

The FLUX.1 family spans open-weight models ([schnell], [dev]) and hosted pro tiers (FLUX.1 [pro], FLUX 1.1 [pro]), plus the FLUX.1 Kontext suite for image editing.

  • Style: Descriptive natural language, similar to SDXL/SD 3.5 prompting but with stronger prompt adherence — complex multi-subject scenes and spatial relationships hold together well. No negative prompts on standard pipelines.
  • Strengths: Excellent prompt following, photorealistic rendering, solid in-image typography, and strong anatomy. Open-weight variants run locally (ComfyUI, Diffusers) and support LoRA fine-tuning.
  • Kontext (image editing): FLUX.1 Kontext performs in-context generation and editing — prompt with text plus an image to make targeted local edits, preserve a character across scenes, or apply a reference style, all without fine-tuning or masks. Iterative editing keeps the rest of the image stable, making it a strong alternative for the img2img workflows in this library.
  • Tips: Reuse the Stable Diffusion prompts from each style doc, dropping the negative prompt. For Kontext edits, give short imperative instructions (“Change the background to a rainy street, keep the subject unchanged”) and iterate one change at a time.

Best-in-class text-in-image rendering — the go-to platform when your image must contain legible, correctly spelled words.

  • Style: Natural language. Put the exact text you want in quotes and describe the typography (serif, hand-lettered, neon sign) and placement.
  • Strengths: Market-leading text accuracy (posters, logos, signage, packaging, book covers — even multi-word headlines), strong graphic-design layouts, and photorealism. Style References (upload up to 3 images) and reusable style codes give precise aesthetic control; Magic Prompt expands terse prompts.
  • Tips: Ideal for styles in this library that feature typography (concert posters, vinyl album covers, vintage advertising). Pick a design category (Poster, Logo) when available, and spell out the exact wording — e.g., a screen-printed gig poster with the headline "MIDNIGHT CANYON" in hand-drawn psychedelic lettering.

A design-focused model — the only major platform that generates true vector (SVG) output, built for brand and production design work.

  • Style: Natural language plus explicit design controls — style presets, exact brand colors, and text size/position on the canvas.
  • Strengths: Native vector art generation (logos, icons, illustrations that scale infinitely), custom brand styles derived from a set of reference images without retraining, accurate text rendering with positioning control, and a full editing suite (vectorize, background removal, upscaling, inpainting/outpainting).
  • Tips: Reach for Recraft when the deliverable is a logo, icon set, or brand asset rather than a rendered scene. Feed it exact hex/RGB brand colors, and use vector output for anything destined for print or scaling. Styles like Minimalist Notion, Art Deco, and Glass Embossed 3D translate especially well.

Quick reference for common output formats. Note that aspect ratio capabilities vary by platform:

  • Nano Banana 2: Fixed presets (16:9, 4:3, 1:1, 3:4, 9:16).
  • ChatGPT: Fixed presets (1:1, 3:2, 2:3).
  • Midjourney & Stable Diffusion: Fully dynamic support for precise pixel dimensions and custom ratios.
Use CaseRatioPixels (Recommended)Notes
Instagram Post1:11080×1080Square feed post
Instagram Portrait4:51080×1350Tallest feed format, maximum real estate
Instagram / TikTok Story9:161080×1920Full-screen vertical
LinkedIn / Twitter Header3:11500×500Wide banner
Desktop Wallpaper16:93840×2160Standard widescreen / 4K
Ultrawide Wallpaper21:93440×1440Ultrawide monitors
Phone Wallpaper9:19.51290×2796iPhone Pro Max
Profile Picture / App Icon1:1512×512 or 1024×1024Square, tight crop
Pinterest Pin2:31000×1500Tall vertical
YouTube Thumbnail16:91280×720Standard video thumbnail
Poster / Print (A-series)1:1.4142480×3508A4 at 300 DPI
Book Cover2:31600×2400Standard paperback

🖼️ Using Reference Images (Image-to-Image)

Section titled “🖼️ Using Reference Images (Image-to-Image)”

When you want to stylize an existing photo (e.g., turning a portrait into a Pixar character or transforming a landscape into a watercolor), each platform handles reference images differently. Each style doc includes a dedicated 🔄 Image-to-Image Transformations section with platform-specific prompts.

Upload your image to the conversation, then describe the transformation:

"Using the attached image as the base, transform it into [STYLE]. Preserve the subject's appearance and pose, but apply [SPECIFIC STYLE DETAILS]. Use a [ASPECT RATIO] format."

Conversational refinement — After the initial result, iterate with follow-ups:

  • “Increase the intensity of the style — push it further from photorealism”
  • “Keep the subject’s face more recognizable”
  • “Change the background to [NEW ENVIRONMENT] while keeping the style”
  • “Apply the style only to the background — keep the subject photorealistic”

Upload the image to the conversation, then prompt:

"Using the attached image as a reference for the subject's appearance, create a [STYLE] version. Preserve the person's likeness, clothing, and pose. [ADDITIONAL STYLE DETAILS]."

Place the image URL at the start of your prompt:

[IMAGE_URL] [STYLE DESCRIPTION] --iw [WEIGHT] --ar [RATIO]
ParameterRecommended ValuePurpose
--iw1.0–1.5 for style transfer, 1.5–2.0 for close preservationControls how closely the output follows the reference
--crefUse for character consistency across multiple imagesMaintains identity (face, features) across generations
--srefUse to apply a style from a separate referenceApplies the aesthetic of another image

Use the Img2Img pipeline with these recommended settings:

SettingLight StylizationMedium TransformationHeavy Restyling
Denoising Strength0.3–0.450.45–0.650.65–0.85
Use CaseSubtle filter effectBalanced style transferNew artwork based on composition
  • ControlNet alternative: For preserving exact pose/composition while completely changing style, use ControlNet with the canny or openpose preprocessor.
  • Prompt: Describe the desired output style. The original image provides composition/structure.
  • Negative Prompt: Target specific unwanted artifacts only.

Not sure which style to pick? Start from what you need:

Use CaseRecommended Styles
LinkedIn / Professional headshotProfessional Headshots, Cinematic Headshots
Social media profile pictureModern Avatars, Pixar, The Simpsons
App icon / thumbnail3D Isometric Resin, Minimalist Notion, Pixelated 16-bit
Desktop wallpaperSolarpunk, Cyberpunk Noir, Bioluminescent Underwater, Double Exposure
Instagram / social media postWes Anderson, Studio Ghibli, Claymation
Poster / printArt Deco, Concert Poster, Soviet Constructivist
Album / book coverVinyl Album Cover, Double Exposure, Glitch Art
Children’s contentYarn / Amigurumi, Claymation, Paper Cutout
Educational / scientificBotanical Illustration, Blueprint, Electron Microscope
Holiday / greeting cardStained Glass, Illuminated Manuscript, Embroidered
Game asset / concept artIsometric Pixel City, Holographic UI, Steampunk
Brand / marketing assetArt Nouveau, Minimalist Notion, Wes Anderson
Photo-to-character conversionPixar, The Simpsons, Lego, Studio Ghibli, Collectible Figurines
Turning a photo into fine artUkiyo-e Woodblock, Art Nouveau, Byzantine Mosaic
Product marketing / mockupGlass Embossed 3D, Exploded Product View, Brand Concept Renders
Movie / TV fan artMovie Diorama Cube, Collectible Figurines, Superhero Comic Book
Travel / city contentFridge Magnet Knolling, Landmark Dioramas, Tilt-Shift Miniature
Moody editorial / album artFrosted Silhouette, Double Exposure, Daguerreotype / Tintype

  1. Find a style from the categories below or use the use-case guide above.
  2. Click through to the individual style doc.
  3. Pick a variation that matches your intended output (profile pic, wallpaper, poster, etc.).
  4. Copy the prompt for your platform — Nano Banana 2 is listed first and recommended.
  5. Replace placeholders — [SUBJECT], [ENVIRONMENT], [COLOR], etc. — with your desired content.
  6. Iterate — adjust details, swap environments, or refine lighting based on initial results.

Contribute! Generated a great image with one of these prompts? Submit a PR to replace the placeholder image in the style doc with your result!