I’ve never been good at writing those long, detailed prompts. Tweaking details is fine, but starting from scratch and cranking out a huge block of text? That gives me a headache. So I figured, why not let an LLM be my prompt assistant? I fine-tuned a GPT-3.5 to specifically turn crappy prompts into good ones.
The idea’s pretty simple: first, I collected about 3,000 prompts written by Midjourney pros. What’s interesting is that the average length is only around 25 words—so longer isn’t always better. Then I used GPT to compress those good prompts into short, rough versions, paired them up, and fed about 2,000 pairs into the fine-tuning. The whole training took about an hour and cost me just over seven bucks. Just keep in mind, the longer your system prompt, the more expensive it gets.
The output is all over the place—same input can give you totally different styles. Quality varies, but the real win is that it helps me break out of creative ruts. For example, I threw in “vacuum cleaner Transformer,” and it spat out something like a 20-foot-tall robot that turns into a vacuum cleaner. When I used that to generate images, the results were surprisingly awesome. If you’re not chasing consistency, it’s a blast to use as an idea generator.