AI for Visual Artists & Designers.
Your eye is the tool. AI is just another brush in the kit.
After this lesson you'll know
- The landscape of AI image generation tools and what each does best
- How to use AI for mood boards, concept art, and rapid iteration
- Prompt engineering specifically for visual output
- The ethical considerations every visual creative needs to understand
The tools are evolving fast. Here's what matters right now.
The AI image generation space moves fast — tools that were cutting-edge six months ago might be obsolete today. Rather than memorize every tool, understand the categories and what each is best for. Then you can adapt as the tools change.
Midjourney
The aesthetics champion. Produces the most visually polished output. Strong at illustration, concept art, and atmospheric imagery. Runs through Discord. Best for work that needs to look beautiful out of the box.
DALL-E (via ChatGPT)
The most accessible option — built right into ChatGPT. Great for quick concepts, text in images, and iterative exploration. Less stylistically distinctive than Midjourney, but easier to control and iterate.
Stable Diffusion
The open-source powerhouse. Runs locally on your machine. Maximum control, custom models, ControlNet for precise guidance. Steeper learning curve but unlimited creative freedom and no per-image costs.
Adobe Firefly & Built-In AI
AI integrated directly into Photoshop, Illustrator, and other tools you already use. Generative fill, extend, and recolor. Less about generating from scratch, more about augmenting your existing workflow.
Don't try to master every tool. Pick one that fits your workflow and go deep. A designer who knows Midjourney inside out will produce better work than someone who's dabbled in five tools. Once you understand prompt engineering for visuals, the skills transfer across platforms.
Where AI fits in a visual creative's workflow.
AI image generation isn't about replacing your design process. It's about compressing specific phases that used to eat hours of your time. Here's where it has the biggest impact:
Visual Task — Right AI Approach
Match each visual task to the AI approach that serves it best.
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