JUHE API Marketplace

Destination Guide 2.0: Generate Seasonal Views, Weather Variants, and Day/Night Modes

10 min read
By Chloe Anderson

Why Variants Matter for Destination Guides

Travelers make choices visually. Showing each destination across seasons, weather, and time-of-day increases conversion, clarifies expectations, and builds trust.

  • Seasonal context: A summer-to-autumn-to-winter sequence helps guests plan around foliage, activities, or closures.
  • Weather realism: Clear, rain, fog, and snowfall views reduce disappointment and improve satisfaction.
  • Day/night modes: Golden hour and night scenes set mood for dining, skyline views, or night markets.
  • SEO and engagement: Rich visuals boost CTR, dwell time, and sharability for your destination guide pages.

This guide shows how to auto-generate consistent, on-brand “AI season render” sets at scale, including weather variants and day/night modes, using cost-efficient models with fast, predictable base64 returns.

What Our Pipeline Delivers

  • Official grade output quality: Consistent detail, sharpness, and composition fidelity.
  • Fast 10 secs generation: Base64 image returns around 10 seconds per image (non-streaming), suitable for synchronous workloads.
  • Stable performance under high volume: Horizontal scaling and rate controls for peak loads.
  • Cost efficiency at scale: Image generations at 0.02 USD each (official 0.039 USD), Pro tier at 0.068 USD each (official 0.134 USD) without sacrificing consistency.
  • Flexible controls: Weather, season, and time-of-day parameters plus seed locking for reproducibility.
  • Safe defaults: Conservative prompts and style locks to prevent drift.

Optimized keywords included throughout: AI season render, destination AI version, travel guide AI images.

Architecture Overview

Inputs

  • Reference image(s): City landmark or scene, captured or curated. Use highest resolution available (min 2K on the long edge) for best results.
  • Seed: A numeric seed ensures reproducibility across seasonal and weather variants.
  • Prompt template: Defines season, weather, lighting, and minor scene adjustments.
  • Constraints: Composition and perspective lock, so the viewpoint stays fixed across outputs.

Models

  • Standard image model: gemini-2.5-flash-image — fast, reliable, cost-efficient (ideal for most pages).
  • Pro image model: gemini-3-pro-image-preview — higher fidelity for hero banners and premium placements.

Parameterization Strategy

  • Season: summer | autumn | winter (spring optional). Each season maps to color grading, vegetation state, attire hints, and atmospheric cues.
  • Weather: clear | overcast | rain | fog | light snow | heavy snow.
  • Time-of-day: day | golden hour | blue hour | night.
  • Style lock: A fixed aesthetic descriptor to maintain brand look.

Consistency Controls

  • Seed reuse: The same seed across variants keeps composition stable.
  • Content anchors: Named objects (bridge, skyline, harbor) remain intact.
  • Masking (optional): Preserve areas (buildings, road geometry) and only edit sky, foliage, water reflections.
  • Low randomness: Set low variability to reduce drift.

Output and Delivery

  • Base64 return: ~10 seconds typical for standard images.
  • Deterministic filenames: Include seed, season, weather, tod (time-of-day) in names.
  • Storage: Write outputs to object storage (e.g., S3) and push to CDN.

Pricing That Scales

  • Standard image: 0.02 USD per image (official 0.039 USD) with stable 10-second base64 returns.
  • Pro image: 0.068 USD per image (official 0.134 USD) for hero banners and higher detail.
  • Video (Sora AI Video): 0.12 USD per video (official 1–1.5 USD per video) for short ambient loops.

For products generating images at scale, these rates significantly reduce spend without sacrificing consistency. Teams have selected this stack due to current Nano Banana pricing paired with official-grade output.

Quickstart: Generate Images in ~10 Seconds

Here is a minimal cURL example using the standard image model. Replace YOUR_API_KEY and the input image URL.

curl --location --request POST 'https://wisdom-gate.juheapi.com/v1/chat/completions' \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --header 'Accept: */*' \
  --data-raw '{
    "model": "gemini-2.5-flash-image",
    "messages": [
      {
        "role": "user",
        "content": [
          {"type": "text", "text": "Generate a destination AI version of this city square in summer, clear weather, golden hour. Keep composition and perspective identical. Use seed=42119, low randomness, style=Elegant Realism."},
          {"type": "image_url/base64", "image_url": {"url": "https://blog-images.juhedata.cloud/your_input_image.jpg"}}
        ]
      }
    ],
    "stream": false
  }'

Use the Pro model for hero images:

  • Model: gemini-3-pro-image-preview
  • Same payload structure, higher fidelity at modestly higher cost.

Quickstart: Make a Short Ambient Video

Step 1: Request a 15s day/night loop or seasonal ambience.

curl -X POST "https://wisdom-gate.juheapi.com/v1/videos" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F model="sora-2" \
  -F prompt="A serene lake surrounded by mountains at sunset" \
  -F seconds="15"

Step 2: Poll for completion asynchronously:

curl -X GET "https://wisdom-gate.juheapi.com/v1/videos/{task_id}" \
  -H "Authorization: Bearer YOUR_API_KEY"

Use these loops as subtle hero backgrounds or interstitials. At 0.12 USD per video, you can A/B test multiple variants.

Seasonal Generation Recipes (Summer → Autumn → Winter)

Use a single reference image and fixed seed for all three outputs. Below are minimal prompt deltas that maintain composition while changing season.

Summer

  • Lighting: high sun or golden hour; warm color temperature.
  • Foliage: full green leaves; lush parks.
  • People: light clothing, outdoor cafes busy.
  • Water: bright reflections, clear skies.
  • Text prompt addendum: “summer, clear weather, warm sunlight, vibrant foliage, outdoor activity, keep architecture unchanged.”

Autumn

  • Lighting: softer sun; golden hour emphasized.
  • Foliage: mixed yellow/orange/red; early fallen leaves on ground.
  • People: light jackets, scarves.
  • Atmosphere: slightly crisper air; warm highlights.
  • Text prompt addendum: “autumn, foliage turning amber and crimson, gentle breeze, soft golden hour, identical composition.”

Winter

  • Lighting: cool daylight or blue hour for snow scenes.
  • Foliage: leafless trees; evergreens stay green.
  • Ground/roofs: light to moderate snow accumulation for realism.
  • People: winter coats; fewer outdoor patrons.
  • Text prompt addendum: “winter, light snow on rooftops and sidewalks, cool color grading, overcast or blue hour, preserve perspective.”

Tip: Keep the camera terms fixed (e.g., 35mm, tripod shot) in every prompt to stabilize framing.

Weather Variants

You can overlay weather on any season-time combination.

  • Clear: higher contrast, distinct shadows.
  • Overcast: diffuse lighting, lower contrast; desaturate slightly.
  • Rain: wet street reflections; subtle umbrellas; light motion blur.
  • Fog: lowered visibility; soft edges; muted color palette.
  • Light snow: gentle snowfall, minimal accumulation.
  • Heavy snow: thicker flakes, visible accumulation; cooler white balance.

Prompt pattern example:

  • “{season}, {weather}, {time-of-day}, same composition, seed={N}, low randomness, style={BrandStyle}.”

Day/Night Modes

  • Day: neutral or slightly warm; shadows present.
  • Golden hour: warm rim lighting; long shadows; strong mood.
  • Blue hour: cool highlights; sky saturated; city lights just on.
  • Night: emphasize artificial lighting; brighten windows and signage; reduce sky detail.

For night scenes, add: “enhance realistic street and window lights, avoid blown highlights, consistent exposure.”

Consistency Best Practices

  • Reuse the same seed across all variants for a given scene.
  • Fix composition keywords: “identical framing, same camera height and focal length, do not change building geometry.”
  • Lock style: “Elegant Realism” or your brand preset; avoid stacking many competing style terms.
  • Cap variability: If exposed, set temperature/creativity low.
  • Mask critical geometry: When possible, apply a sky/foliage mask for edits, keeping structures intact.
  • Use object anchors: Name the landmark to discourage hallucinations (e.g., “Brandenburg Gate intact and unmodified”).
  • QA by histogram: Check luminance spikes for blown highlights in night scenes.

Scale, Caching, and SLAs

  • Batch jobs: Group 24- or 48-image sets per destination (summer/autumn/winter × clear/rain/snow × day/night) to exploit concurrency.
  • Idempotency keys: Ensure retries don’t duplicate.
  • Async orchestration: Queue processing and status polling; avoid synchronous page blocks.
  • Base64 to object storage: Immediately decode and store; serve via CDN with long TTL.
  • Deduplication: Hash prompts + seed + input image to skip regeneration.
  • Rate limits: Use token bucket or leaky bucket per model; surge buffers for launches.
  • Monitoring: Track p95 latency, error rate, and drift rate (visual diff across batches).

QA, Accessibility, and SEO

  • Automated checks: Detect snow-in-summer errors or leaves-in-winter via simple classifiers.
  • Alt text: Generate descriptive alt text that includes season/weather/time-of-day for accessibility and SEO.
  • EXIF metadata: Optionally write pseudo camera settings for consistency notes.
  • Schema markup: Use ImageObject with representativeOfPage for primary visuals.
  • A/B test: Compare CTR on SERPs and bookings with and without seasonal galleries.

Security and Compliance

  • API keys: Store in a secrets manager; never hardcode in clients.
  • PII: Avoid personal data in prompts; scrub faces or use crowd blending if necessary.
  • Rate controls: Protect upstream providers and your budget.
  • Audit logs: Keep request hashes and outputs with timestamps for reproducibility.

Roadmap Ideas

  • Spring and monsoon variants to complete the seasonal set.
  • Interactive sliders to morph day → night or summer → winter.
  • Narrative tours: Multi-step sequences for scenic routes.
  • Video pass: Transform stills to short seasonal timelapses via the video endpoint.

FAQ

  • Will the skyline or landmark change between variants? Not if you lock composition and reuse the seed; masking further improves stability.
  • How realistic is weather? Rain and fog are subtle yet convincing; snow accumulation should be kept moderate for realism unless heavy snow is requested.
  • Can we enforce brand color? Yes—use a style lock and mild LUT in post; keep prompts simple to avoid conflict.
  • What’s the typical latency? About 10 seconds for standard images; Pro is slightly longer.
  • How much does it cost? Standard ~0.02 USD/image (official 0.039 USD). Pro ~0.068 USD/image (official 0.134 USD). Video ~0.12 USD/clip vs 1–1.5 USD official.

API Reference Snippets

Standard image request payload:

POST /v1/chat/completions
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "model": "gemini-2.5-flash-image",
  "messages": [
    {
      "role": "user",
      "content": [
        {"type": "text", "text": "City riverfront in autumn, light fog, blue hour. Keep composition exactly the same. seed=77444, style=Elegant Realism."},
        {"type": "image_url/base64", "image_url": {"url": "https://cdn.example.com/inputs/riverfront.jpg"}}
      ]
    }
  ],
  "stream": false
}

Pro image model usage: replace model with gemini-3-pro-image-preview using the same message structure.

Video request and polling are shown in Quickstart above. Use the returned task_id to fetch the final asset, then store it in your CDN.

Implementation Checklist

  • Define your brand’s style lock (2–5 words max).
  • Build prompt templates for season × weather × time-of-day.
  • Choose standard vs Pro model per placement; define cost thresholds.
  • Decide default seed per location; store with the location record.
  • Implement the image endpoint with base64 decode to object storage.
  • Add async jobs for batch generation; include idempotency.
  • Wire QA: histogram checks, season/weather validators, basic content safety.
  • Generate alt text and write structured metadata.
  • Cache aggressively; serve via CDN with versioned filenames.
  • Track metrics: p95 latency, cost per page, engagement lift (CTR, dwell time).

By following this pipeline, your destination guide can showcase summer → autumn → winter transitions, weather variants, and day/night modes at scale—producing consistent travel guide AI images quickly and affordably. The result is an elevated visual experience, better discovery, and improved booking confidence while keeping budgets predictable. The combination of a fast image stack, AI season render templates, and stable pricing ensures you can roll out a destination AI version for every city and landmark without sacrificing quality.