Reddit Quote Carousel Topaz

Create an Instagram carousel from a popular-picks list with Reddit quotes + Topaz 2x upscaling. Cover = "clean" style ("Top CATEGORY in Destination"), attraction slides = "quote" style with Reddit quotes + subreddit attribution. All photos Topaz-enhanced before overlay. Trigger phrase "reddit-quote-topaz". Use when Bernard says "reddit-quote-topaz" or wants a Topaz-enhanced Reddit-quote carousel.

Reddit Quote Carousel (Topaz Enhanced)

Same as reddit-quote-carousel but adds Topaz Labs 2x AI upscale after photo finding, before text overlays.

Trigger

Bernard says "reddit-quote-topaz" → use this skill. Bernard says "reddit-quote" → use reddit-quote-carousel (no Topaz).

Parameters

• destination (required): City/region (e.g. "Barcelona")
• category (required): What the picks are (e.g. "Cheap Eats", "Hidden Gems", "Date Night Spots")
• popular_picks_url (required): tabiji.ai popular-picks page URL to pull attractions + Reddit quotes from
• reddit_post_count (optional): Number of Reddit posts analyzed (for subtitle). Pull from the page if available.

Pipeline (3 chained sub-agents)

Working directory: /tmp/ig-reddit-quote/

Sub-agent 1: Scrape Picks + Find Photos + Topaz Enhance

1. Fetch the popular-picks page via web_fetch to get:

   • List of attractions (names)
   • A compelling Reddit quote for each attraction (vivid, specific, personal — not generic praise)
   • The subreddit each quote came from (e.g. "r/london", "r/AskLondon")
   • Total Reddit post count if shown on the page

2. Find photos using instagram-photo-find workflow:

   • 1 hero photo for the destination (for cover slide)
   • 1 photo per attraction (for quote slides)
   • For each: web_search → download candidates → vision-score → keep best

3. Topaz 2x Enhance each best photo:

bash

TOPAZ_API_KEY=$(security find-generic-password -s "topaz-api-key" -w)

curl --request POST \
  --url https://api.topazlabs.com/image/v1/enhance \
  --header "X-API-Key: ${TOPAZ_API_KEY}" \
  --header 'accept: image/jpeg' \
  --header 'content-type: multipart/form-data' \
  --form 'model=Low Resolution V2' \
  --form 'output_scale_factor=2' \
  --form 'output_format=jpeg' \
  --form "image=@/tmp/ig-reddit-quote/${slug}-best.jpg" \
  --output "/tmp/ig-reddit-quote/${slug}-enhanced.jpg"

If sync returns JSON with process_id instead of image bytes, use async flow:

bash

# Submit async
RESPONSE=$(curl -s --request POST \
  --url https://api.topazlabs.com/image/v1/enhance/async \
  --header "X-API-Key: ${TOPAZ_API_KEY}" \
  --header 'content-type: multipart/form-data' \
  --form 'model=Low Resolution V2' \
  --form 'output_scale_factor=2' \
  --form 'output_format=jpeg' \
  --form "image=@/tmp/ig-reddit-quote/${slug}-best.jpg")

PROCESS_ID=$(echo "$RESPONSE" | jq -r '.process_id')

# Poll until Completed
while true; do
  STATUS=$(curl -s --header "X-API-Key: ${TOPAZ_API_KEY}" \
    "https://api.topazlabs.com/image/v1/status/${PROCESS_ID}" | jq -r '.status')
  [ "$STATUS" = "Completed" ] && break
  sleep 3
done

# Download
curl -s --header "X-API-Key: ${TOPAZ_API_KEY}" \
  "https://api.topazlabs.com/image/v1/download/${PROCESS_ID}" \
  --output "/tmp/ig-reddit-quote/${slug}-enhanced.jpg"

4. Write manifest to /tmp/ig-reddit-quote/manifest.json:

json

{
  "destination": "Barcelona",
  "category": "Cheap Eats",
  "reddit_post_count": 150,
  "cover_photo": "/tmp/ig-reddit-quote/cover-enhanced.jpg",
  "slides": [
    {
      "name": "Bar Cañete",
      "quote": "Went here on a random Tuesday and had the best patatas bravas of my life.",
      "subreddit": "r/barcelona",
      "photo": "/tmp/ig-reddit-quote/bar-canete-enhanced.jpg",
      "original": "/tmp/ig-reddit-quote/bar-canete-best.jpg",
      "source_url": "instagram.com/p/XXX/",
      "topaz_enhanced": true
    }
  ]
}

Sub-agent 2: Text Overlays

Read manifest. Create overlays using instagram-photo-text-overlay skill on enhanced images.

Slide 1 (Cover) — clean style:

bash

python3 /Users/psy/.openclaw/workspace/skills/instagram-photo-text-overlay/scripts/overlay.py \
  --input /tmp/ig-reddit-quote/cover-enhanced.jpg \
  --output /tmp/ig-reddit-quote/slide-1.jpg \
  --title "Top {COUNT} {CATEGORY} in {DESTINATION}" \
  --subtitle "Insider Takes from Reddit ({N}+ posts)" \
  --style clean --watermark "tabiji.ai"

Slides 2+ — quote style, one per attraction:

bash

python3 /Users/psy/.openclaw/workspace/skills/instagram-photo-text-overlay/scripts/overlay.py \
  --input /tmp/ig-reddit-quote/{slug}-enhanced.jpg \
  --output /tmp/ig-reddit-quote/slide-{N}.jpg \
  --title "{ATTRACTION_NAME}" \
  --quote "{REDDIT_QUOTE}" \
  --author "{SUBREDDIT}" \
  --style quote --watermark "tabiji.ai"

Output: slides at /tmp/ig-reddit-quote/slide-{1-N}.jpg

Sub-agent 3: Publish to Instagram

1. Host images in tabiji repo (img/instagram/), git push, use raw GitHub URLs
2. Create carousel item containers
3. Create carousel container with caption
4. Publish
5. Get permalink
6. Cleanup hosted images + local temp files

Instagram API Auth

Keys from macOS Keychain:

• instagram-access-token — Graph API token
• instagram-account-id — IG user ID (17841449394591017)

Topaz API Auth

• topaz-api-key — Topaz Labs API key (macOS Keychain)

Caption Template

text

{flag_emoji} Top {COUNT} {CATEGORY} in {DESTINATION}

Real recommendations from {N}+ Reddit posts 🧵

📍 Swipe for the spots + what Redditors actually said:
1. {Attraction 1}
2. {Attraction 2}
...

Full list with maps, prices & more Reddit recs 👉 {POPULAR_PICKS_URL}

💬 {PROVOCATIVE_QUESTION — e.g. "What's the most overrated restaurant you've been to abroad?" or "Would you trust a stranger's Reddit rec over a Michelin star?"}

#{destination} #{category_tag} #redditfinds #traveltips #foodietravel #localfavorites #tabiji

Tips

• Pick quotes that are specific and personal — "best patatas bravas of my life" beats "this place is great"
• Keep quotes under ~120 chars so they render well on the slide
• If a quote is too long, trim it but keep the vivid part
• The cover title should feel like a listicle: "Top 7 Cheap Eats in Barcelona"
• Topaz model: Low Resolution V2 — designed for web-sourced images (our exact use case)
• Topaz rate limits: If HTTP 429, use exponential backoff. Sequential processing of 6-8 images should be fine.
• Keep originals in manifest so you can fall back if Topaz fails on a specific image