Negative prompt generator: the free tool for cleaner images

blurry, low quality, low resolution, distorted proportions, watermark, signature, text, logo, jpeg artifacts, oversaturated, underexposed, noise, out of frame, cropped, duplicate, cartoon, illustration, painting, 3d render, cgi, anime, drawing, deformed hands, extra fingers, extra limbs, fused fingers, bad anatomy, asymmetric eyes, distorted face, cross-eyed, bad hands, mutated hands, poorly drawn hands, missing fingers, too many fingers

Image workflows only. For chat constraints, use templates and testers — different dialect.

Why this page is image-only (on purpose)

Searchers type “negative prompt generator” because they hit a wall in an image UI: a negative box waiting for magic words. That box is not a chat constraint paragraph. It is a list of visual concepts the sampler should down-weight. Mixing chat advice into this page would muddy the craft. So the boundary is sharp: this tool builds image negatives. For writing “do not invent metrics” style rules, open prompt templates or AI prompts.

The sibling tools you will want open in other tabs are the positive-side builders: AI image prompts for a general structured positive + light negative, Midjourney prompt generator for MJ flags like --ar and --stylize, and the Midjourney platform hub for community prompts tuned to that ecosystem. Negatives are one half of the image conversation; positives and parameters are the other.

Keeping the page focused also improves the lists themselves. Every term in the builder is a visual failure mode, not a lifestyle preference. That discipline is what separates a useful generator from a junk drawer of words someone scraped from a forum in 2022.

How negative prompts actually steer images

At a practical level, you can treat the negative field as a “stay away from these regions” instruction. If your positive says portrait and your negative says cartoon, the sampler is pulled toward photographic people and pushed away from drawn ones. If your positive never mentioned hands but the model loves to invent bad ones, negatives that name hand failures reduce how often those modes win the sample.

Negatives are not absolute bans. Saying watermark lowers the chance of watermarks; it does not cryptographically forbid them. That is why people stack related terms (watermark, signature, text, logo) for stubborn failure modes. Stacking helps until it does not — enormous lists can dilute attention or contradict the positive. Prefer a tight set you understand over a mythical 500-term “god negative.”

Weighting and UI features vary by tool. Some interfaces let you emphasize negatives more aggressively; some models respond better to short lists. When a term never seems to change outcomes, remove it. When a failure keeps appearing, add a more specific concept or fix the positive composition instead of only lengthening the negative. Negatives are a lever, not the whole machine.

Anatomy of a strong negative list

1. Universal quality floor

Almost every render benefits from a short quality floor: blur, low resolution, jpeg artifacts, watermarks, accidental text. This is the base layer the builder always includes. Think of it as hygiene, not style.

2. Style opposites

If you asked for oil painting, you rarely want a hard photograph. If you asked for photoreal, you rarely want anime. Style-opposite terms keep the medium stable when the model is tempted to hybridize. The builder attaches these when you pick a style chip.

3. Subject failure modes

Portraits fail on faces and hands. Products fail on logos and proportions. Architecture fails on warped lines. Subject packs encode those lessons so you do not relearn them every session. Pick the subject that matches the image’s main noun, not a secondary prop.

4. Optional packs and customs

Hand packs, face packs, no-text packs, and your personal hated artifacts (stock smiles, plastic skin) belong here. Optional means optional: if the shot has no people, skip anatomy packs. Custom terms are how a generic generator becomes your studio’s house negative.

How to use the builder in a real pipeline

Step one: write or compose the positive prompt first. You need to know the subject and style before the negative can be smart. Step two: mirror those choices in this builder. Step three: generate once with the default packs for that subject. Step four: look at the failure, not the vibe. If the issue is hands, ensure the hand pack is on; if the issue is random letters, enable no-text. Step five: save the negative next to the positive in your library so the pair travels together.

For Midjourney-centric work, build the positive with MJ syntax, then use a lighter avoid strategy appropriate to the version you use — and still keep this page bookmarked for any SD-style tool in your mix. Many creators run multiple image backends; one negative library with per-engine notes beats inventing lists from scratch each time.

When a list gets long and mysterious, prune. Split into “always,” “people,” “products,” “text-sensitive.” The builder’s chip model encourages that modular thinking. Modularity is how negatives stay maintainable instead of becoming folklore.

Six copy-ready negative lists

Steal these as starting points. Prefer the interactive builder when subject and style change often — it merges layers without duplicates.

blurry, low quality, low resolution, jpeg artifacts, watermark, signature, text, logo, oversaturated, noise, out of frame, cropped, duplicate

deformed hands, extra fingers, extra limbs, fused fingers, bad anatomy, asymmetric eyes, distorted face, cross-eyed, mutated hands, poorly drawn hands, ugly face, disfigured, uncanny valley

warped logo, illegible text, wrong proportions, floating product, harsh reflections, cluttered background, watermark, text, logo, blurry, low quality

cartoon, illustration, painting, 3d render, cgi, anime, drawing, plastic skin, overprocessed HDR

photorealistic, western comic, 3d render, uncanny realism, muddy shading, deformed hands, extra fingers

text, words, letters, typography, caption, subtitles, ui overlay, watermark, signature, logo, frame border, border

Negatives vs other image controls

If the subject is wrong, fix the positive. If the medium keeps sliding, fix style tokens and style-opposite negatives. If composition is wrong, change framing language or use references. If only artifacts remain, lean on negatives. Mis-assigning the problem to the wrong lever is the most common intermediate-user failure.

Common negative-prompt mistakes

Pasting a mega-list from a stranger without reading it — including terms that ban the look you want. Putting full sentences and chat politeness into a token field. Negating the same concept twenty ways while ignoring the actual failure on screen. Using portrait anatomy bans on pure landscapes (harmless but noisy). Forgetting to remove “text” bans when you intentionally need lettering on a product. Expecting negatives to invent good taste.

Another mistake: fighting the positive. Positive says “watercolor,” negative says “painting.” You have created a tug-of-war. Align layers. The builder’s style packs are designed to oppose the chosen medium’s common contaminants, not the medium itself. When you add customs, re-read the positive once.

Last mistake: never saving what works. When a product series finally stops warping logos, that negative is gold. Fork it into PromptFork with the matching positive. Future you should not re-debug logo warping from zero next quarter.

Build a negative library that compounds

Explore community image prompts on Explore and Top, refine wording in Studio, and keep Midjourney-specific stacks on the MJ generator. Negatives are unglamorous. They are also why professional-looking pipelines look professional: fewer random artifacts, more intentional frames, less time regenerating the same mistake.

If you take one habit from this page, take modular lists. Base + subject + style + optional pack beats a single sacred paragraph. The free generator exists to make that modular habit faster than hand-typing commas every time.

A field guide to artifact families (and which negatives hit them)

Image models fail in patterns, not in chaos. Once you can name the pattern, you can write a negative that targets it instead of dumping a fifty-term laundry list that over-constrains the whole render. The families below cover most commercial and hobby work; each maps to a short avoid clause you can keep in a modular pack.

Anatomy and limb chaos

Extra fingers, fused hands, melted wrists, and impossible elbows are still the loudest failure mode for character work. Negatives that help: deformed hands, extra fingers, extra limbs, missing fingers, fused fingers, mutated hands. Pair them with a positive that shows clear hand poses when hands matter — a mug held correctly, a pen gripped between two fingers — because negatives alone cannot invent good anatomy if the positive never describes it.

Face and identity drift

Cross-eyed gazes, asymmetrical features, and “same person / different face mid-shot” show up when you ask for groups or when you over-weight style tokens. Negatives: cross-eyed, asymmetrical face, distorted face, duplicate face, deformed face. For identity-sensitive work, simplify the scene: one hero subject, controlled lighting, fewer competing style adjectives.

Text, logos, and watermark ghosts

Random glyphs, fake brand marks, and corner signatures appear when models treat training-set chrome as content. Core negatives: watermark, signature, logo, text, caption, username, jpeg artifacts. If you need intentional lettering, say so in the positive with exact words; otherwise ban text globally and add lettering later in an editor.

Quality collapse

Soft focus, plastic skin, muddy color, and compression noise are quality failures, not subject failures. Negatives: blurry, low quality, lowres, oversmoothed, plastic skin, jpeg artifacts, noisy, underexposed, overexposed. Keep this pack short and permanent; it rarely conflicts with creative style unless you deliberately want lo-fi grain — in which case drop the noise ban and describe the grain you want.

Composition and framing accidents

Cropped heads, cut-off limbs, busy backgrounds, and “two subjects fighting for center” waste generations. Negatives: cropped head, cut off, out of frame, cluttered background, busy composition, duplicate subject. Combine with a positive that names framing: medium portrait, three-quarter view, generous headroom, clean backdrop.

Style leakage

When you want photoreal and get anime edges — or the reverse — you have style leakage. Negatives should name the styles you do not want: cartoon, anime, 3d render, painting, illustration (or photograph, if you want painted). Never ban more styles than you must; each ban narrows the model’s freedom and can flatten texture.

Build a personal matrix: rows are artifact families, columns are your recurring subjects (portrait, product, landscape, product-on-model). Fill cells with the two-to-six negatives that actually recur in your fails. That matrix is worth more than any viral “ultimate negative prompt” pasted from a forum in 2023.

The five-minute negative QA loop

Professionals do not “set and forget” a negative list for a year. They run a short loop after every batch that disappointed them. One: pick the worst image, not the average. Two: name the artifact family out loud. Three: add one or two targeted negatives — never ten. Four: regenerate with the same positive seed when possible so the only variable is the avoid list. Five: if quality did not move, the positive is the real bug; switch tools to the image composer or Midjourney generator instead of stacking more bans.

Log wins. When a two-word add (“plastic skin”) cleans a product set, promote it into your product pack. When a ban never fires for three weeks, demote it. Living packs stay short enough that you can read them. Unreadable mega-lists are how people accidentally ban the look they wanted and spend an afternoon debugging ghosts.

Share packs with teammates the way engineers share lint configs: named, versioned, and forked when a campaign needs a temporary exception. PromptFork’s Supercharge path exists for the moment a pack needs a prose rewrite; the browser generator exists for the moment you need a clean list without opening a chat.

Questions people ask about negative prompts