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Follow button on user profiles, tag pages, and public collection cards
Follower counts displayed on profiles, tags, and collections
Optimistic UI — follow/unfollow feels instant
Follow Notifications: 5 new notification types keep you in the loop
"[user] published a new prompt [title]" — when a followed user publishes
"New [tag] prompt: [title] by [user]" — when a prompt is published with a followed tag
"New prompt [title] added to [collection]" — when a prompt is added to a followed collection
"[user] started following you" — when someone follows your profile
"[user] started following your collection [name]" — when someone follows your collection
Smart Deduplication: If you follow both a user and a tag, you get one notification (not two) when they overlap
Async Notification Queue: Follow notifications are processed via Queue for faster API responses, with automatic synchronous fallback when Queue is unavailable
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# Settings (Change here)
Settings:
[CharacterTraits]: {argument name="Character Traits"default="High school girl with long black hair"}
[FashionTheme]: {argument name="Fashion Theme"default="Modern high school girl's casual wear, neat and clean style"}
ConversionRules:
- An image of the same person with [CharacterTraits] lined up horizontally in a fashion lookbook of7 people.
- Wearing only 7 different new casual outfits based on the [FashionTheme].
- Completely maintaining the [ArtStyle/Style] of the reference image.
- Not wearing the [ReferenceImageOutfit], but wearing 7 different outfits based on the [FashionTheme].
- Full body shot.
- The background is pure white, or slightly ivory.
- Natural shadows fall at the feet. The image layout is like a magazine clipping.
- The words "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday" are written under each person, in order from left.
- Stylish title text at the top.
ArtStyle:
- High resolution
- Studio lighting
- 4k
- --ar 16:9
Weekly Outfit Coordination Lookbook Generation
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A detailed prompt for Nano Banana Pro to generate a weekly outfit coordination lookbook based on a reference image's style. It creates a 7-day fashion spread for a specified character and theme, ensuring consistency while showing seven different outfits. The output is a magazine-style layout with specific text labels for each day.
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Exponential Interactive, Inc d/b/a VDX.tv
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Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Authentication-derived identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Non-precise location data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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