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I don't understand how I would get a unique but accurate prompt that makes Dall-E produce an image that besides the weather/lighting conditions also has a randomly picked iconic scene for the location, people in the picture that have the correct clothing and doing reasonable activities, etc.

I'm trying to understand the criticism here, so please give the GPT a shot with a few different locations (you can also do neighborhoods or fictional locations) and describe how this is a nut that can be cracked with non-LLM solutions:

https://chatgpt.com/g/g-QIydQSFRm-sol-mate




If your goal was wanting to use AI image generation to create such an image, this makes sense.

I think people are just questioning the assumption that such a feature is a desirable or necessary feature of a weather display.

I definitely was a bit surprised to open the repo to a weather display and see the need for an OpenAI key without an explanation of which features were AI-powered.

But of course this is a personal project, so "Generate a representative AI image using the location and weather information" is a perfectly valid, and cool, challenge to set yourself and achieve.


Google images? You could run a classifying model if you wanted to segment by time of day and weather.




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