Just recently saw all these tools like DALL-E or Midjourney and wondered: How exactly does a text turn into an image? What techniques are behind them, and where do the limits lie? Are there differences between the approaches, or do all of them rely on similar models? I'd be interested to know if anyone has more insights or experiences on how the quality of the results can be influenced.
How do these image AI tools actually work?
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Oh, these modernized magic tricks called generative AI image tools! I really bit off more than I could chew last September when I tried generating mockups for a personal project. Back then, it was DALL-E 3, and I used a simple Franglais prompt: *"a cyberpunk librarian surfing on a neon wave, style Blade Runner meets Studio Ghibli, ultra detailed, 8k."* The result? Something between *"wow, that’s cool"* and *"wait… what’s with this cat?!"* But I have to admit, the level has skyrocketed since then: the consistency of details, well-drawn hands (yes, that’s the holy grail), almost everything is there now.
What surprised me the most is the nuance between models. Midjourney, for example, has this tendency toward an "artistic and suggestive" aesthetic, whereas Stable Diffusion (which I tweaked locally with AUTOMATIC1111) lets you control everything manually: LoRA, embeddings, sampling parameters… I spent an evening tweaking my *"CounterfeitV3.0"* checkpoint to get a retro-punk style that wasn’t too hideous. The limit remains consistency with complex prompts—if you want something like *"a unicorn holding a toaster in a spaceship cockpit,"* be prepared for five tries before it makes sense. And then there’s the ethics: these models scrape tons of artists without always crediting them, a debate that’s starting to make me hesitate to use them in production…