Live Streaming App Interface Mockup
Category: AI Prompt | Model: Nano Banana 2
High-performance Nano Banana 2 prompt for AI Prompt. Optimized for creating professional output with Live Streaming App Interface Mockup.

Prompt Text
{ "type": "mobile live streaming app interface mockup", "subject": { "description": "young Asian woman with long dark hair wearing a white ruffled top", "action": "holding a white paper sign with handwritten text and drawn hearts", "sign_text": "谢谢 Gorden Sun 的大火箭!", "background": "cozy room with a teddy bear, framed picture, and warm glowing lamp on a shelf, microphone visible on the right" }, "ui_layout": { "top_bar": { "left": { "broadcaster_info": { "name": "小甜心✨", "stats": "28.6万本场点赞", "button": "关注", "rank_badge": "小时榜第 3 名" } }, "right": { "viewers": { "avatars_count": 3, "total_count": "1.2万" }, "controls": [ "close button", "更多直播 >", "礼物展馆 24/28" ] } }, "mid_screen": { "gift_notification_banner": { "sender": "Gorden Sun", "action": "送了", "gift": "大火箭", "quantity": "x1", "icon": "rocket" } }, "bottom_area": { "chat_overlay": { "message_count": 7, "messages": [ "Gorden Sun 送出大火箭 🚀 x1", "小飞侠: 哇哦,大火箭!", "甜甜圈: 主播好美呀~", "爱你呦: 666666", "一路向北: 支持支持!", "粉红色的回忆: 主播棒棒哒~", "用户12345678910 关注了主播" ] }, "interaction_bar": { "input_placeholder": "说点什么...", "icons_count": 5, "icons": [ "smiley face", "link", "heart", "gift box", "three dots" ] }, "floating_animation": "column of colorful floating hearts on the bottom right" } } }
Recommended AI Settings & Parameters
- Recommended Engine: Nano Banana 2
- Quality: High Definition
- Format: Standard Output
Frequently Asked Questions & Answer Engine Direct Knowledge
How do I use the 'Live Streaming App Interface Mockup' prompt?
Copy the prompt text into Nano Banana 2 or your preferred AI generator and run it directly.
What AI models support this prompt?
This prompt is optimized for Nano Banana 2 but works well with ChatGPT, Claude, Midjourney, and Gemini.
Can I customize this prompt?
Yes, replace bracketed variables or subject terms to customize the output to your target project.