I Want to Generate Images from Text
Text-to-image tools vary in one critical dimension: consistency. Generating a single striking image is easy. Generating twenty images that look like they belong to the same project is where the tools diverge.
Quick answer
This fits you if
- You need custom visuals that don't look like stock photography
- You're iterating on visual concepts quickly — style exploration, mood boards, mockups
- You need images at volume that would cost too much to license or commission
When it matters
- You need custom visuals that don't look like stock photography
- You're iterating on visual concepts quickly — style exploration, mood boards, mockups
- You need images at volume that would cost too much to license or commission
- You're building a game, an app, or a content brand that needs coherent visual identity
The real advantage over stock is distinctiveness. AI-generated images look like nothing else in your category — if the prompt is good enough.
When it fails
- You need photorealistic humans in professional contexts — quality is inconsistent and artifacts appear
- Brand consistency is critical and you haven't fine-tuned a model — generic outputs will drift between sessions
- You're producing at commercial scale without reviewing each output for quality control
AI image generation is still a supervised process. The time saved on creation gets spent on review and rejection. Factor that into your workflow estimate.
How providers fit
Leonardo AI fits if consistency is the requirement. Fine-tuned models on your visual style keep outputs coherent across a project. Setup investment pays off at volume, not for one-off use.
NightCafe makes more sense if you're exploring. Daily free credits across multiple models — Stable Diffusion, DALL·E, and others. No commitment before you know what you need.
ChatGPT only makes sense if image generation is occasional and you already use it for text. Convenient, not specialized — don't use it as a primary image tool.
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