I’m trying to learn how to create an AI image for a project, but I got stuck figuring out which tools to use and how to write the right prompt. I’ve tried a few options and the results keep coming out wrong, so I need simple advice on the best AI image generator, prompt tips, and steps to make a good image.
Pick one tool and stick with it for a bit. Midjourney, DALL·E, and Stable Diffusion all work, but they behave differntly. If you keep switching, your prompts will feel random.
Use this prompt formula:
subject, style, camera/view, lighting, background, details
Example:
“a red fox sitting on a mossy rock, digital painting, close-up, soft morning light, forest background, detailed fur, natural colors”
If results look wrong, fix one part at a time.
- Subject wrong, make it more specific.
- Style wrong, name the exact style.
- Composition bad, add “wide shot,” “portrait,” or “top-down.”
- Weird details, add negative prompts if your tool supports them, like “no extra fingers, no blur, no text.”
For Stable Diffusion, negative prompts help a lot. For Midjourney, shorter prompts often work beter. For DALL·E, plain English works fine.
Do 4 to 8 test images. Change one variable each round. Save the prompt versions. That’s the fastes way to learn what your tool wants.
I’d add one thing to what @ombrasilente said: sometimes the problem is not the prompt, it’s the model itself. People act like prompting fixes everything, but some generators are just better at certain looks. If you want photoreal stuff, one tool might crush it. If you want anime, painterly, or product mockups, another one can be way less annoying.
My advice: start from an image if your tool allows it. Image-to-image, reference image, or even a rough sketch usually beats pure text when the output keeps drifting. Even a terrible doodle can lock in pose and composition better than another 30 prompt tweaks.
Also, decide your priority first:
- realism
- style
- exact layout
- speed
You usually won’t get all four at once, tbh.
If results are “wrong,” ask yourself what kind of wrong:
- wrong object
- wrong pose
- wrong mood
- wrong art style
- too cluttered
- uncanny face/hands
That tells you whether you need a better prompt, a reference image, or just a diferent model. A lot of beginners keep editing wording when they should be changing the workflow.
One more thing I kinda disagree on: shorter prompts are not always better. Sometimes they help, sometimes they’re too vague and the model fills in garbage. Plain, clear sentences often work beter than keyword soup.
If you want, post the prompt you used and what image you were trying to get. Easier to troubleshoot the actual fail point.
I’d split this into two lanes: creation and correction.
For creation, don’t chase the “perfect” prompt first. Build a prompt from fixed blocks:
- subject
- setting
- camera/view
- lighting
- style
- quality constraints
Example:
“a red vintage motorcycle parked in a rainy neon alley, 3/4 view, cinematic lighting, reflective puddles, realistic photo, detailed metal textures”
Then do corrections one variable at a time. If you change five things per generation, you never learn what actually helped.
Small disagreement with @ombrasilente: negative prompts can help, but people often overstuff them and accidentally make outputs stiff or weird. I’d keep negatives short and only use them for repeated errors like extra fingers, text, blur, duplicate objects.
Pros for ': flexible, fast to test ideas, good for learning prompt structure.
Cons for ': results can be inconsistent, anatomy and text often fail, exact scenes may need editing after generation.
Also, save seeds or duplicate settings whenever your tool allows it. That matters way more than beginners realize. If one image is almost right, reusing the seed lets you refine instead of starting over from chaos every time.