“8k” is often a dataset tag associated with heavily post-processed, sharpened, high-contrast images (or stylized art). It can exaggerate artifacts and make skin plastic. If you want high clarity, use real photo terms: “high resolution photo, sharp focus, fine detail.” Or “RAW photo.” These push clarity without summoning the “AI 8k look.”

Only use these when you truly want stylization. “Fisheye 8mm” implies extreme curvature and can break anatomy quickly. “Tilt-shift” implies selective focus and a miniature look—great for city scenes, odd for portraits. For photoreal portraits, avoid both. If you do want them, include composition cues: “fisheye, curved horizon, exaggerated perspective” or “tilt-shift, narrow focus band, miniature effect.” These are strong constraints and will override normal realism.

Negate: “wrinkle noise, messy folds, fabric artifacts” and avoid stacking too many fabric descriptors. Clothing folds look best when the garment type is clear (dress vs hoodie) and the pose is simple. If folds are important, increase resolution and keep negative blocks to stop fold-noise from turning into scribbles.

Use modular blocks: (1) subject block (identity + outfit), (2) camera block (RAW + lens + DOF), (3) lighting block (one setup), (4) background block (one location), (5) finishing block (true-to-life colors + subtle grain). Then change one block at a time. This keeps pony tag ecosystems from turning into conflicting soup.

Try: “commercial product photo of [object], studio lighting, seamless background, sharp focus, controlled highlights, realistic reflections, clean edges.” Then add material: “metal/glass/wood.” This forces SDXL into a product-photography prior that usually produces less mush and more believable shape.

Negate: “background clutter, unreadable background, messy background, smeared background”. Then keep the location to one clear phrase (“Tokyo street at night”) and avoid stacking 10 environment tags. If it’s still soup, bring the background simpler (“soft background details”) and prioritize character clarity.

Use explicit flash cues: “direct on-camera flash, candid photo, harsh shadow on wall, slightly dark background, specular highlights.” This often looks instantly “real” because it mimics point-and-shoot physics. If it’s too harsh, switch to “diffused flash” or “bounce flash.”

Some models default to glam. Explicitly add “no makeup” or “minimal makeup” and remove glam/beauty cues.

Usually too high denoise (img2img) or too many conflicting tags. Reduce denoise, remove contradictions, or increase steps slightly.

Tell the camera what it’s balanced for: “daylight white balance, cool window light, warm lamp practical in background, natural skin tones.” Or flip it: “tungsten balance, warm indoor light, cool window highlights.” Mixed lighting looks real when the color story is intentional. If you don’t specify balance, SDXL may smear colors and produce green/magenta skin shifts.

POSITIVE: RAW smartphone photo, subtle phone camera processing, true-to-life colors, adult woman, black hoodie and cargo pants, calm expression, front camera selfie, sitting on living room couch, throw blanket, remote on cushion, TV glow in background, warm lamp practical light, arm extended holding phone, slight wide-angle, front-facing camera look, (face centered:1.15), (sharp focus on eyes:1.2), (catchlight in eyes:1.15), clean edges, realistic skin texture, natural tones, subtle grain, no readable text NEGATIVE:

Don’t regenerate the whole image. Inpaint small regions: eyes for eyeliner/mascara, lips for lipstick edges, brows for shape. Use a tight mask and a very short prompt focused on that feature. That preserves identity and avoids drifting the whole face.

Use perspective discipline: “front-facing, straight edges, eye-level camera, minimal perspective distortion.” Avoid wide-angle close-ups. Product-photo prompts help a lot: “commercial product photo, seamless background, sharp focus.” If geometry must be perfect, inpaint the object and keep the camera angle simple.

Prompt “focus on face, sharp eyes, background softly blurred” or “single subject in focus, shallow depth of field.” This signals that the camera chose a focus target, which is a subtle realism cue. You can also add “center focus point” or “face-detection autofocus” for a modern look. Avoid saying “everything sharp” in portrait shots because real portraits rarely have every plane equally sharp at wide apertures.

Because you’re asking the model to resolve two high-detail regions (face + hand) with lots of overlap and occlusion. It often blends boundaries, invents extra digits, or distorts facial features. If you must do it, keep the hand simple (not covering eyes/mouth), increase resolution, and consider inpainting: generate the face clean first, then inpaint the hand pose as a second step.

Because its tag vocabulary is anime-leaning. For photoreal workflows, treat DeepDanbooru output as a rough content summary, not a final prompt.