When an AI generation comes back wrong, the instinct is to blame the model. Most of the time the fix is a small change to the prompt, the style, or the settings. This guide maps the most common problems to their actual causes and gives you the fix for each.
The output ignores part of my prompt
Cause: The prompt is overloaded. When you stack too many instructions, the model prioritizes some and drops others.
Fix: Cut the prompt to the essentials — subject, context, and one or two style notes. If you already chose a style, do not repeat lighting and lens words in the prompt; the style already handles those. Let each layer do its job: the formula sets structure, the style sets treatment, the prompt sets content.
The image is blurry or low-detail
Cause: Either the tier is set low for a final asset, or the prompt asks for too much in one frame.
Fix: For final assets, use the Premium tier — it produces higher fidelity. Tighten the composition: a single clear subject renders sharper than a crowded scene. Add a focus cue like "sharp focus on [subject], shallow depth of field" so the model knows what to keep crisp.
The subject is wrong or generic
Cause: The prompt describes the subject too vaguely. The AI cannot see your actual product — it only has your words.
Fix: Describe the subject precisely: material, color, shape, size, finish. "Matte black glass serum bottle, 30ml, minimal label" beats "a skincare product." If you have a reference image, switch to image-to-image and upload it so the AI matches your real subject.
Hands, text, or fine details look distorted
Cause: Fine structures like hands and readable text are the hardest thing for image models to render.
Fix: Frame around the problem. For hands, choose a composition where they are partially out of frame or holding the product naturally rather than spread open. For text, do not rely on the model to render exact copy — generate the visual clean, then add real text in your design tool afterward.
Colors are off-brand
Cause: The style you picked has a strong color grade that overrides your intent, or the prompt does not name your palette.
Fix: Name the palette explicitly in the prompt ("muted blue and grey palette," "warm neutral tones"). If a style keeps pulling colors in the wrong direction, switch to a more neutral style within the same engine. For strict brand color control, generate a clean base, then color-correct in your editor.
Every variation looks the same
Cause: You are re-running the identical prompt, so you get near-identical results.
Fix: Change one variable at a time — swap the environment, the lighting direction, or the camera angle in the prompt. To keep the subject consistent while varying the scene, use image-to-image with your approved output as the reference.
The aspect ratio is wrong for where I posted it
Cause: The ratio was not set before generating, so the crop does not fit the placement.
Fix: Always set the ratio before you generate — 9:16 for TikTok/Reels, 1:1 or 4:5 for feed, 16:9 for YouTube and hero images. To adapt an approved image to another placement, use image-to-image and switch the ratio while holding the style constant.
It costs more than I expected
Cause: Output count, video duration, or the Premium tier raises the credit cost.
Fix: The exact credit cost is shown on the generate button before every run and updates in real time as you change settings. Check it before clicking. For volume testing, stay on the Fast tier; reserve Premium for final assets.
Still stuck?
If a generation consistently fails or a request is blocked, it may have triggered a content safety guideline. Modify the prompt to remove anything that could read as unsafe, and try again.
Next steps
- AI Image Generation Glossary — the terms behind these fixes
- How AI Prompts, Styles and Formulas Work Together — why separating the layers prevents most problems
- How Credits Work — the full cost table