7 Advanced ChatGPT Prompts: Help build a fashion wardrobe
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Description
ChatGPT can be used to build a fashion wardrobe by generating personalized outfit suggestions based on the user's preferences and style. It can al..
Prompt Details
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About
ChatGPT can be used to build a fashion wardrobe by generating personalized outfit suggestions based on the user's preferences and style. It can also provide recommendations on where to shop for specific items, how to mix and match different pieces, and offer styling tips to help the user look their best. With its vast knowledge base, ChatGPT can provide a fun and engaging way to explore new fashion trends and help users boost their confidence in their personal style.
Prompts
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"I need help putting together an outfit for [OCCASION]. I want to look [ADJECTIVE] and feel [ADJECTIVE]. Can you suggest some pieces that would work well together?"
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"I'm looking for a [ADJECTIVE] [ITEM OF CLOTHING] to wear to [OCCASION]. Do you have any recommendations on where to find one?"
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"I'm trying to create a capsule wardrobe for [SEASON]. Can you suggest some key pieces that would be versatile and easy to mix and match?"
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"I have a [ITEM OF CLOTHING] that I love but I'm not sure how to style it. Can you suggest some outfit ideas that would work well with it?"
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"I'm attending a [THEME] party and I need help finding an outfit that fits the theme. Can you suggest some costume ideas that would be [ADJECTIVE] and fun?"
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After using, you will have the right to edit the reminder to create your own version.
Update: 19/03/2024 8:52:20 alasiri
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Prompt Details
Engine
text-davinci-003
Token size / call
831
Average cost / call
$0.0006
*Important, please read*
In the reminder, you will find places marked with two brackets "[]" or "<>", where you will replace the input information with similar content, and then delete the brackets after your content has been replaced.
The output content example returned from the A.P.I will therefore be shorter and less expressive than when you use live chat with GPT.
Example Input
None
Example Output
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