You typed a prompt you were happy with, hit generate, and got back something that looks like it was photographed through a greasy window. Before you rewrite the whole prompt, know that softness almost never comes from the words you chose. It comes from how the image is being built and resized underneath them. Fixing that is usually faster than starting over.
If you want a place to test these changes as you read, the free image generator on the homepage is a quick way to run the same prompt at different settings and compare the results side by side.
Start by checking the output size, not the prompt
Most soft-looking images are actually small images that got stretched. A 512-pixel render shown full-screen on a laptop is being blown up roughly four times. No amount of prompt tweaking fixes that, because the detail was never generated in the first place. Check the pixel dimensions of the file you downloaded before you change anything else. If it is under about 1024 pixels on the long edge, your problem is scale, not wording.
Upscaling is a separate step, and it has limits
Upscalers add plausible detail, not real detail. A clean 1024-pixel image run through a good 2x upscale usually looks sharp. A blurry 512-pixel image run through the same upscaler looks like a blurrier but larger image, because the model has nothing solid to work from. The rule of thumb: upscale once, and only from a source that already looks reasonably crisp. Stacking two or three upscale passes mostly accumulates artifacts and gives faces that waxy, over-smoothed look.
Match aspect ratio to the subject
Generating a tall portrait in a wide frame and then cropping it to fit is a common way to lose sharpness. The subject ends up occupying a small part of the canvas, so it gets fewer pixels devoted to it. Set the aspect ratio before you generate, not after. Portraits want something close to square or a slight vertical. Wide scenes want a landscape frame. Getting this right costs nothing and often clears up the issue on its own.
Prompt habits that quietly reduce sharpness
Vague descriptors are the usual suspects. Words like "beautiful," "amazing," or "high detail" do very little on their own, and some models respond to them by smoothing the image rather than adding texture. Concrete, physical language works better. Instead of "very detailed portrait," describe what makes it detailed: "visible skin texture, individual eyebrow hairs, catchlight in the left eye." Naming specific surfaces and materials gives the model something to render, and rendering is what produces perceived sharpness.
Word order matters a little too. Subjects and materials placed early in the prompt tend to get more attention than modifiers tacked on at the end. If sharpness genuinely matters, put the concrete visual facts up front.
When the model itself is the ceiling
Different models have different native resolutions and different levels of fine-detail ability. A model tuned for fast drafts will look soft next to one tuned for still frames, no matter how good your prompt is. If you have already fixed the size, the ratio, and the wording and it still looks mushy, try the same prompt on a different model. It takes a minute and tells you immediately whether you are fighting your own input or the tool's ceiling.
The compression trap in saved files
One more cause people miss: the file format you save in. A PNG keeps straight edges intact. A heavily compressed JPEG smears them, and if you then resize that JPEG for the web, the smear grows. If you are judging sharpness, always look at a PNG or a high-quality export rather than a screenshot or a chat preview, both of which recompress the image before you ever open it. A surprising number of "blurry output" reports turn out to be a preview thumbnail the user was looking at instead of the actual downloaded file.
Sharpening after the fact, carefully
A light unsharp mask on a finished image can recover perceived crispness, but it cannot invent detail that was never rendered. Use a small radius and a modest amount, and check the result at full size. Overdo it and you get bright halos along every edge, which looks worse than the original softness and is very hard to undo once you have saved. If a single small pass does not fix it, the real problem is upstream and sharpening is a bandage.
A quick order of operations
Check the file size first. Set the aspect ratio before generating. Write concrete visual details instead of praise-words. Upscale once from a clean source. Compare a second model only after all of that. Run through those in order and the blurry-output problem shrinks to a small number of real causes instead of a guessing game. Most people jump straight to rewriting prompts, which is the slowest possible route to the same answer.
Once you have a prompt and a resolution that work together, save both settings as a note. Consistency between images comes from repeating the boring parts on purpose, and resolution is one of the boring parts that matters most. You can run the same recipe again any time from the generator and expect roughly the same sharpness, which is the whole point of writing it down.