Negative prompts:
How to get rid of artifacts in FLUX and GPT-Image

A negative prompt tells the model: 'don't do this.' Unlike a regular prompt where you describe what you want, here you list what you don't: extra fingers, distorted faces, watermarks, blurriness. A well-crafted negative block gets rid of 90% of AI artifacts on the first try, no redos or upscalers needed.

Below, we'll break down how negative prompts work in different Quantium image generator models, plus 20 ready-to-use blocks for common issues. You can copy all examples directly into the bot — the syntax handles FLUX, GPT-Image specifics, and a workaround for Gemini.

Why you need this. AI models train on tons of data with typical errors: stock photo watermarks, poorly drawn hands in illustrations, oversaturation in tourist pics, garbled text in synthetic images. Without a negative prompt, the model 'pulls' these patterns into every generation. It's not a bug — it's the training data's statistics. A negative prompt is how you tell the model, 'I know you love to draw this, but it shouldn't be in my shot.' A well-put-together block saves you dozens of attempts and hours of Photoshop cleanup.

Which Models Support Negative Prompts

Not all image models handle negation the same way. Here's the real picture for 2026.

For FLUX and Seedream in the Quantium bot, just add a Negative: ... line after your main prompt — the bot parses it automatically. For GPT-Image, use an AVOID: ... block at the end. For Gemini, you'll have to describe what you want in extreme detail, without using 'not.'

Important: your negative block shouldn't be longer than 15 items. With long lists, models start conflicting with themselves or ignoring half the instructions. The sweet spot is 5-8 specific points targeting artifacts you've seen in test shots.

Hand and Finger Artifacts: Blocks 1-3

Negative: extra fingers, missing fingers, deformed hands,
mutated hands, fused fingers, six fingers, malformed hands,
extra limbs

Negative: twisted hands, broken wrists, unnatural finger
positions, claw-like hands, distorted anatomy

Negative: hand merged with product, hand passing through
object, broken grip, unnatural holding pose

Faces and Anatomy: Blocks 4-6

Negative: distorted face, warped features, asymmetric eyes,
melting face, doubled features, deformed face, ugly face

Negative: plastic skin, waxy texture, over-smoothed skin,
doll-like face, airbrushed look, oversaturated skin tones

Negative: broken anatomy, twisted limbs, dislocated joints,
unnatural pose, extra arms, missing limbs

Text and Watermarks: Blocks 7-9

Negative: gibberish text, unreadable letters, distorted typography,
random characters, broken text, illegible writing, garbled words

Negative: watermark, signature, copyright text, stock photo
marking, brand label overlay, logo in corner, dataset watermark

Negative: visible brand names, third-party logos, text overlay,
caption, subtitle, image credit

Unwanted Objects: Blocks 10-12

Negative: cluttered background, extra objects, busy scene,
random props, unwanted items, distracting elements

Negative: duplicate subject, mirrored copy, twin objects,
repeated elements, multiple instances of same item

Negative: floating objects, levitating items, unnatural
positioning, items in mid-air without support, broken physics

Quality and Sharpness: Blocks 13-16

Negative: blurry, low resolution, pixelated, jpeg artifacts,
compression noise, soft focus, out of focus

Negative: cropped subject, cut off head, awkward framing,
poor composition, subject too small, dead centered framing

Negative: flat lighting, harsh shadows, overexposed highlights,
underexposed shadows, bad contrast, washed out look

Negative: oversaturated colors, neon overdrive, unrealistic
hues, candy colors, overprocessed look, HDR overdone

Style Issues: Blocks 17-20

Negative: AI-generated look, synthetic appearance, CGI-style,
3D render, digital art, over-stylized, generic AI aesthetic

Negative: cartoon, anime, illustration, drawing, painting,
sketch, stylized art, comic book style

Negative: stock photo look, cheesy smile, fake corporate vibe,
generic businessman, awkward staging, stiff posing

Negative: asymmetric design, disproportionate elements,
unbalanced composition, skewed perspective, wrong proportions

Gemini Image Workaround

Gemini Image doesn't support a separate negative parameter. That's a Google API quirk. But you can get rid of artifacts with a detailed positive prompt — describe exactly what you want, without using 'not.' Instead of 'no extra fingers,' write 'hand with five fingers, anatomically correct.' Instead of 'no oversaturation,' use 'natural muted colors, realistic tones.' Instead of 'no plastic skin,' try 'natural skin texture with visible pores, subtle film grain.' The model doesn't get negation, but it responds to positive descriptions of what you want.

A good positive prompt for Gemini (without negative prompts):
"Portrait of a man, anatomically correct hand resting on chin,
five fingers clearly visible, natural skin with visible pores
and subtle texture, realistic muted colors, sharp focus, clean
composition with subject centered, no other objects in frame"

Universal Negative Template

For FLUX 2 Pro in Quantium, I have a "universal" negative block I add to all prompts by default. It handles 80% of common artifacts:

Negative: blurry, low resolution, jpeg artifacts, watermark,
text artifacts, extra fingers, deformed hands, distorted face,
plastic skin, oversaturated colors, AI-generated look,
stock photo aesthetic, cluttered background

Copy this block into every request, then add 2-3 more specific points for your scene. For example, for a portrait, add 4-5 from the "faces" section. For a product shot, use points from "quality" and "extra objects."

Weight Coefficients in Negative Prompts

FLUX 2 Pro understands weight syntax. This means you can tell the model how strongly to avoid certain artifacts. Use parentheses and a colon.

Negative: (extra fingers:1.5), (distorted face:1.4),
blurry, watermark, (oversaturated colors:1.2)

The number goes from 1.0 (standard weight) to 2.0 (maximum avoidance). Above 2.0, the model actually starts "thinking" about that artifact and might throw it in. For problem areas, 1.3-1.5 is ideal. For optional points that aren't "critical," leave them without a weight (default 1.0).

Here's how it works in practice: if your test generations keep showing a specific artifact, even with the negative block, bump its weight up to 1.5. If it's still there, the problem isn't the negative prompt; it's your main prompt. Some word in the positive might be "pulling" that artifact. For instance, "glamour photography" often gives "plastic skin"—even a 2.0 negative weight won't fix it. Just remove the word from the positive.

Here's a list of words that often clash with the negative block: glamour (pulls plastic skin), professional photo (pulls watermark), 4k high quality (placebo, gives no real boost), beautiful (pulls stock average look), amazing, stunning (same deal). These words are junk in your positive prompt. Replace them with specifics: instead of "professional photo," try "shot on Canon R5 with 85mm f/1.4"; instead of "beautiful portrait," use "portrait with natural skin texture and visible pores." This dramatically cuts down your reliance on the negative block.

How to Debug an Artifact

If an artifact keeps showing up, follow these five steps.

Step 1. Name the artifact precisely. Don't say "weird face," say "right eye smaller than the left and looking in a different direction."

Step 2. Find the word in your positive prompt that might be pulling it. "Portrait" for faces. "Hands" for hands. "Text" for a jumble of letters.

Step 3. Add a specific negative point for that artifact with a weight of 1.4.

Step 4. Strengthen your positive prompt. "Anatomically correct face with symmetric features" works better than just a negative "no asymmetric face."

Step 5. If that doesn't help, change the angle or composition. Sometimes an artifact is tied to a close-up, but the model won't reproduce it in a medium shot. This is especially true for hands and faces: switching from a close-up to a medium shot often solves the problem without any negative block.

An extra trick for stubborn artifacts: try switching models. FLUX 2 Pro and Seedream have different training data and artifact statistics. If FLUX stubbornly generates weird fingers, check Seedream—it might not have that problem at all. In Quantium, it's just a button switch in the bot, credits for both models are similar, so no loss.

How Much It Costs

Negative prompts in Quantium don't increase generation cost. FLUX 2 Pro is 8 credits per image in Standard and 14 in Pro mode, GPT-Image is 7 credits, Gemini Image is 5. The negative block works within a single call and doesn't require separate payment.

Related materials: FLUX 2 Pro Prompt Guide, Gemini Image for Product, Midjourney Alternatives.

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