GPT Image 2AI 提示词
Mobile Live Streaming App Mockup — Asian Streamer UI
Generate a photorealistic mockup of a Chinese live streaming app featuring an interactive UI, customizable chat, and a cozy streamer setup.

提示词 · EN
type
mobile live streaming app interface mockupsubject
young Asian woman streamer, long dark hair, white top, smiling, speaking into a black studio microphonebackground
cozy room, soft pink lighting, teddy bear, framed posterui_elements
status_bar
time 21:34, cellular, 5G, battery iconstop_navigation
item 1
直播item 2
同城item 3
关注item 4
{argument name="active tab" default="推荐"}item 5
search iconstreamer_info
name
{argument name="streamer name" default="小甜心✨"}status
直播中likes
23.6万本场点赞right_action_buttons
count
6items
item 1
profile with plusitem 2
heart with 3.2万item 3
speech bubble with 2516item 4
star with 5280item 5
share arrow with 1223item 6
spinning record albumchat_overlay
count
5messages
item 1
小丸子: {argument name="chat message 1" default="唱得太好听了吧~"}item 2
云淡风轻: {argument name="chat message 2" default="声音好温柔,爱了爱了"}item 3
走遍人间: 主播可以点首《后来》吗?item 4
你的小熊: 来了来了item 5
糖糖 加入了直播间bottom_input
text field saying {argument name="input placeholder" default="说点什么..."}, emoji, heart, gift, menu iconsbottom_navigation
count
5tabs
item 1
首页item 2
朋友item 3
plus buttonitem 4
消息item 5
我关于这个提示词
Generate a photorealistic mockup of a Chinese live streaming app featuring an interactive UI, customizable chat, and a cozy streamer setup. 它更适合作为 GPT Image 2 的概念艺术起点:先保留画面结构、主体关系和风格约束,再替换成你的品牌、人物或场景。
这条提示词使用结构化 JSON 组织信息,包含 type、subject、background、ui elements 等字段。保留这种层级能让模型更清楚地区分画面主题、布局、界面元素和细节约束。
使用时建议先小幅修改主体、场景、镜头和色调,再生成多个版本对比构图与细节。这样页面内容对用户有实际帮助,也避免把模型名或标签机械堆在正文里。
如何使用这个提示词
- Copy the Prompt: Copy the entire JSON prompt block to your clipboard.
- Choose a Model: Select a compatible AI image generation model like Sora 2 or a similar text-to-image generator.
- Tweak Variables: Customize the arguments in curly braces
{}such as the streamer's name, active tab, and chat messages to personalize the scene. - Generate: Paste the prompt into your model's interface and generate the image. The AI will render a detailed mobile screen mockup based on your inputs.



