Stable Diffusion Prompt Guide
Stable Diffusion Prompt Guide connects write prompts for Stable Diffusion to a curated English SEO page with model notes, prompt patterns, FAQ coverage, real examples, and related internal links.
Editorially reviewed by GPT Images for prompt usefulness, internal links, FAQ coverage, and source-aware model context.
What this model guide covers
Stable Diffusion Prompt Guide is designed for creators comparing image model behavior and prompt formats. It targets the intent to write prompts for Stable Diffusion, but the page avoids thin keyword stuffing by connecting the topic to prompt structure, real prompt examples, internal links, and FAQ answers.
The practical goal is simple: help someone understand what to write next. The page explains how Stable Diffusion prompts should define subject, constraints, references, style, and output checks before a model or generator is blamed for a weak result.
- Use this model guide when the search intent is "write prompts for Stable Diffusion" and the visitor needs examples before writing from scratch.
- Choose it when Stable Diffusion work requires visible constraints such as subject, angle, lighting, composition, text, aspect ratio, or editing target.
- Use the real prompt examples below to see how other prompts structure the same problem, then adapt one variable at a time.
- Keep it as an internal link target for related prompt collections so users can move from broad discovery into specific prompt pages.
Recommended Stable Diffusion workflow
translate a model name into practical prompt choices without inventing fragile capability claims. A good workflow should be repeatable, inspectable, and easy to adapt across tools. The same prompt can behave differently in GPT-IMAGE-2, Nano Banana 2, Stable Diffusion, Midjourney, Jimeng AI, or a local ComfyUI setup, so this page keeps the reusable structure separate from tool-specific adjustments.
- Start by defining the job: what the image must communicate, where it will be used, and what failure would make the result unusable.
- Translate the job into a prompt skeleton for Stable Diffusion: subject, scene, medium, camera or composition, style constraints, and output constraints.
- Pick one example prompt from this page and copy only the structure that matches the job; avoid copying decorative phrases that do not serve the image.
- Run a first generation, then change one variable at a time: framing, lighting, color palette, reference strength, text content, or background density.
- Save the winning prompt with notes about model, tool, aspect ratio, and any reference images so the pattern can be reused later.
- separate subject, composition, reference handling, typography, and iteration notes
Quality checks before publishing
Before using a generated image in production, review the output against the original job. The best prompt is not the longest prompt; it is the prompt that makes the model spend attention on the details that matter.
- Stable Diffusion should have a clear subject and a visible hierarchy; if the prompt gives equal weight to every detail, the image often becomes noisy.
- The prompt should separate content from style, especially when moving between GPT-IMAGE-2, Nano Banana 2, Stable Diffusion, Midjourney, or other image models.
- If the output needs readable text, keep the phrase short, quote it exactly, and verify the final image rather than assuming the model handled typography perfectly.
- If the output must match a brand, character, room, product, or reference image, name the fixed traits and describe what is allowed to change.
- Avoid stacking too many model-specific shortcuts on a reusable prompt page; keep the main prompt portable, then add model notes as a final layer.
- Review whether the page sends visitors to deeper prompt examples, related use cases, and FAQ answers instead of trapping them in a generic SEO article.
Common mistakes to avoid
Most failed image generations are not caused by a missing magic word. They usually come from unclear hierarchy, mixed intent, unsupported text requirements, or a prompt that asks for too many changes at once.
- Writing a Stable Diffusion prompt as a pile of keywords without a production goal.
- Changing model, tool, aspect ratio, and reference image at the same time, which makes it impossible to learn what improved the output.
- Using vague quality words such as beautiful or professional without defining the visible evidence of quality.
- Ignoring downstream use, such as ecommerce crop safety, ad text legibility, app store screenshots, or poster readability.
- Treating Stable Diffusion Prompt Guide as a final answer instead of a starting point connected to prompt examples and iteration notes.
Stable Diffusion prompt patterns
Production brief prompt
Create a Stable Diffusion image for [audience] that communicates [message]. Main subject: [subject]. Scene: [setting]. Composition: [camera angle, crop, spacing]. Style: [medium, lighting, color direction]. Constraints: [aspect ratio, readable text, brand colors, negative space]. Avoid: [visual mistakes, clutter, wrong mood].
It separates the job, subject, scene, style, and constraints, which makes the prompt easier to test across different image models.
Reference-aware prompt
Using the reference as the fixed source of truth, generate a Stable Diffusion variation. Preserve [identity traits, product shape, logo placement, character features, room layout]. Change only [background, lighting, camera angle, outfit, color palette]. Keep the output consistent with [use case] and do not invent extra objects.
It tells the model what is fixed and what can change, which is critical for image editing, character consistency, product shots, and brand work.
Iteration prompt
Revise the previous Stable Diffusion result by improving [one problem]. Keep [successful elements] unchanged. Adjust [single variable] to [specific direction]. The final image should feel [desired mood] and remain suitable for [placement or channel]. Do not change [protected details].
It controls iteration by changing one variable at a time, so you can learn which instruction improved or damaged the output.
Model transfer prompt
Rewrite this Stable Diffusion prompt for [target model or tool]. Keep the core subject, composition, and constraints. Convert unsupported syntax into natural language. Add model-specific notes only at the end: [aspect ratio, style strength, reference strength, negative prompt, seed, or typography instruction].
It preserves the creative brief while allowing each model or tool to receive the instructions in a format it can use.
Prompt examples for Stable Diffusion
These examples are selected from the current English prompt catalog so the page links visitors into real prompt detail pages instead of stopping at generic advice.

analyze this photo and give me a detailed JSON prompt that recreates it. brea...
analyze this photo and give me a detailed JSON prompt that recreates it. break down the color grading and every exact color in the photo (use Opus, not Sonnet. Opus has stronger visual analysis and writes more detailed JSON) paste that JSON into ChatGPT upload your product image and prompt: using this JSON as reference, generate a person holding my product save that generated photo as your character reference attach it to every future generation for facial consistency you now have a consistent UGC model that works across any product the JSON controls the lighting and color grading. GPT image-2 handles the character. you control the product placement. the #1 tell on AI photos is flat colors and a grainy look. this method removes both. 5 minutes to set up. unlimited variations after.
![[CORE TASK]
Transform the...](https://raw.githubusercontent.com/freestylefly/awesome-gpt-image-2/main/data/images/case78.jpg)
Image Generation Case Examples
[CORE TASK] Transform the provided input image into a pose-and-light analysis sheet. This is NOT a finished character illustration. This is NOT a clothing sheet. This is NOT a beauty-preserving redraw. This is a white-line rough mannequin conversion. [PRIMARY GOAL] Extract and visualize only: - pose structure - body balance - camera angle - body line flow - inferred light source placement - illuminated areas and light intensity [INPUT ROLE] Use the provided image as the strict anchor for: - pose - camera angle - body tilt - weight distribution - approximate lighting situation Do NOT preserve: - face rendering - hairstyle rendering - clothing detail - accessories - weapon detail - background architecture - character identity - emotional expression [FIGURE CONVERSION] single rough mannequin-like human figure white body contour lines white internal construction lines simple mannequin head no face no eyes no mouth no eyelashes no personality no individual identity human figure should look like: - rough pose mannequin - anatomy proxy - line-based body guide - structural sketch - white-line rough dummy keep: - pose readability - silhouette flow - head tilt - torso direction - pelvis direction - limb placement [BACKGROUND] pure black background negative-style dark field no scenery no props no architecture no environmental storytelling [LINE STYLE] rough white line drawing clean but sketch-like construction-line feeling anatomy guide lines visible joint flow visible body contour emphasized no polished illustration finish [LIGHT ESTIMATION] predict the likely light source positions from the input image visualize the light sources and illuminated areas using green glow only use green light intensity with variation: - strongest green where the light directly hits - medium green for wrap light - soft green for reflected or fading light mark the estimated light sources with labels and arrows such as: - Main Light - Rim Light - Fill Light - Floor Bounce - Back Light only if appropriate IMPORTANT: do not invent random lights infer lighting from the original input image if the lighting is ambiguous, keep the annotations simple and plausible [GREEN LIGHT VISUALIZATION] show green glow on: - head / skull plane - neck - shoulders - chest plane - ribcage direction - pelvis edge - thigh planes - knee contact points - floor contact bounce if applicable use green light not as decoration, but as lighting analysis information [POSE PRIORITY] 1. preserve pose structure 2. preserve camera angle 3. preserve body balance 4. preserve head-torso relationship 5. visualize likely light direction 6. show illuminated areas with readable green intensity variation [NEGATIVE] finished person, cute girl, detailed face, hair rendering, clothing rendering, weapon emphasis, beautiful anatomy

Infographic / Edu Visual - Underwater Forest Stream Photography
Shot with a high-definition underwater camera, this prompt captures real underwater natural scenery in a {argument name="environment description" default="clear shallow stream next to a tropical primeval forest"}.
Vertical composition, 3:4 aspect ratio, medium-to-long shot. The lens is slightly below the water surface, showing the shimmering bottom of the water surface above with realistic water wave refraction and natural reflections.
Sunlight shines diagonally into the water from the top right, forming soft beams and underwater spots. Dark reflections and shadows of large tree branches occupy part of the composition in the upper right.
In the middle is clear and quiet stream water with slight suspended particles and {argument name="number of fish" default="5-8"} native freshwater small fish swimming naturally, mainly gray-silver and light brown, varying in size and distance, not forming an organized school. On the stream bed, deep green, yellow-green, and brownish-green water plants grow naturally, swaying gently with the current, distributed naturally unlike an artificial aquarium.
The bottom consists of gray-brown fine sand, gravel, pebbles, and several naturally shaped stones with slight algae marks and signs of water erosion. Multiple springs at the bottom show fine sand billowing slowly from small holes, creating light sand clouds and local water disturbances, not white smoke, steam, or large bubbles.
Natural landscape live-action photography, high-end natural documentary feel, close to National Geographic ecological photography. Features transparent water, natural lighting, restrained colors, realistic underwater optical effects, slight graininess, natural depth of field, and high-definition details.
No people, no buildings, no artificial traces, no text, no borders, no LOGO. Avoid CG feel, aquarium look, seabed coral, exaggerated fish schools, oversaturated greens, dreamy lighting effects, or plastic water plants.
Infographic / Edu Visual - Automotive poster transformation prompt
Ultra-clean automotive poster featuring the exact same car as the photo that will be provided later. The AI must replicate the car from the uploaded photo with identical body shape, proportions, stance, color, trims, wheels, and all visible exterior details.
The car is presented in a front three-quarter angle facing right, matching the perspective of the original reference layout, but now depicted in a subtle {argument name="action" default="drifting action"}. The drift is expressed through realistic weight transfer, slight body lift, controlled smoke plumes from the rear tires, and faint curved tire marks behind the vehicle, without distorting the original car’s geometry.
Headlights follow the exact style from the reference photo of the car, with optional warm fog lights glowing if the provided car has them. All decals, emblems, plates, and window tints must match the car from the uploaded photo.
The car drifts on a glossy white reflective studio-like floor that maintains soft reflections and realistic shadows, enhanced with light drift skid reflections and directional smudges.
Background remains a clean white-to-light-gray gradient with a giant semi-transparent bold typography of the car model name (auto-extracted from the uploaded photo) vertically dominating the background.
At the very top: clean branding text “{argument name="brand name" default="CAR COMPANY NAME"}” (or the brand detected from the uploaded car photo). Under it, spaced-out stylized tracking text containing the same brand and model name.
Below the car: centered title of the exact model name from the uploaded photo.
Under that, a short descriptive paragraph about the car’s character (efficiency, style, reliability).
Bottom section shows a clean grid layout of specifications. If real specs are known from the detected car model, generate accurate values; if not, generate placeholders in the same layout style (4 columns: horsepower, 0–100 km/h, top speed, engine displacement/fuel type).
Entire poster is minimalist, editorial, high-key studio lighting with ultra-sharp reflections, crisp shadows, modern typography, and 4K believability, blending clean design with dynamic drifting energy, Ratio 9:16
Infographic / Edu Visual - Nigerian Street Eats Collage
{"type":"vibrant Nigerian street food collage poster","format":"vertical editorial travel-food montage","style":"high-contrast cinematic night photography mixed with hand-painted street poster typography, smoky atmosphere, saturated neon colors, gritty documentary realism, white comic-panel borders, yellow brush lettering, handwritten annotation arrows","main_title":{"text":"{argument name=\"main title\" default=\"NIGERIAN STREET EATS\"}","position":"left-center over main grill scene","typography":"large distressed white block letters for first word, oversized yellow brush-script words below"},"subtitle":{"text":"{argument name=\"subtitle text\" default=\"HOT & FRESH\"}","position":"under main title on red paint-stroke banner","typography":"condensed white uppercase letters"},"scene":{"location":"busy Lagos night market street with food stalls, crowds, headlights, neon signs, smoke, open flames, and warm work lamps","mood":"energetic, smoky, late-night, authentic street-food adventure","lighting":"dramatic orange firelight and grill glow contrasted with blue-green neon and dark urban background"},"central_panel":{"position":"top-left and center, largest panel","description":"street vendor grilling many skewers of spicy suya over open charcoal flames; vendor wears dark cap, grey shirt, black apron, and black gloves; face obscured by shadow; smoke curls around the meat; yellow bus and neon food stall sign in background","visible_signs":["SUYA","PEPPER SOUP"],"apron_text":"SADA SUYA"},"panels":{"total_count":13,"items":[{"label":"main suya grill hero panel","position":"upper-left to center","content":"vendor tending rows of suya skewers over glowing charcoal, with the large poster title overlay"},{"label":"SMOKY SUYA NIGHTS","position":"top-right","content":"close-up of heavily seasoned suya skewers on a grill, smoke rising, handwritten white and yellow label with arrow"},{"label":"LAGOS AFTER DARK","position":"right-middle","content":"wide night street-market scene with umbrellas, food stalls, traffic lights, crowds, and city buildings"},{"label":"SUYA SPICE","position":"middle-left","content":"hands sprinkling orange-red spice over raw marinated meat, white arrow pointing to seasoning"},{"label":"PUFF-PUFF IN PROGRESS","position":"middle-center","content":"round golden puff-puff dough balls frying in bubbling oil, one lifted in a wire skimmer"},{"label":"CORN & UBE","position":"middle-right","content":"grilled yellow corn cobs beside round greenish-brown African pears, with arrow label"},{"label":"SMOKY JOLLOF","position":"lower-left","content":"foil trays filled with reddish jollof rice, steam and smoke drifting upward"},{"label":"AKARA VIBES","position":"lower-center","content":"golden bean cakes frying in a deep pan of hot oil, arrow label"},{"label":"SHAWARMA STATION","position":"lower-right","content":"gloved hands holding an open wrap stuffed with meat, cabbage, carrots, and sauces being drizzled from squeeze bottles"},{"label":"PEPPER SAUCE & ONIONS","position":"bottom-left","content":"metal trays of sliced red onions, bright red pepper sauce, and green sauce at a condiment station"},{"label":"GRILLING GOODNESS","position":"bottom-center","content":"many skewers grilling over flames and smoke, close-up of charred meat with orange fire glow"},{"label":"PUFF-PUFF DOUGH","position":"bottom-right","content":"large green bowl and smaller pot filled with pale dough pieces or batter, arrow pointing to dough"},{"label":"neon slogan sign","position":"bottom-right corner","content":"glowing red, green, and white neon sign with crown doodle reading NA FOOD WE-DEY CHASE"}]},"footer":{"text":"{argument name=\"footer slogan\" default=\"REAL FLAVOUR. REAL PEOPLE. REAL LAGOS.\"}","position":"bottom across yellow paint-stroke strip","typography":"black handwritten uppercase text"},"color_palette":"charcoal black, flame orange, spice red, neon green, electric cyan, warm yellow, smoky grey, white panel borders","composition":"dense magazine-cover collage with tilted rectangular panels separated by thick white borders; main hero image dominates, supporting food close-ups arranged around it; handwritten labels and arrows add street-guide energy","rendering_instructions":"make it look like a finished food-tour poster, not a flat infographic; include realistic steam, oil bubbles, smoke, glowing coals, busy market depth, gritty textures, and legible stylized English labels","negative_prompt":"no clean studio background, no empty panels, no minimalist layout, no washed-out colors, no generic Western fast food, no misspelled main title"}
Infographic / Edu Visual - Premium Korean Palm Reading Guide
Create a premium Korean palm reading guide image based on the uploaded palm photo. All visible text in the final image must be Korean only. Use clean Korean sans-serif typography. The title must be exactly “손금 분석 가이드”. Create a refined two-panel layout: Left panel: place the uploaded real palm photo inside a clean rounded card. Preserve the original hand shape, palm lines, skin texture, and natural details. Do not distort or redraw the hand. Right panel: create a separate black-and-white palm contour interpretation diagram based on the same hand. Highlight the main palm lines with thin precise lines and label them in Korean. Include Korean labels and sections: “손금 분석 가이드”, “전체 요약”, “생명선”, “두뇌선”, “감정선”, “운명선”, “재물선”, “태양선”, “결혼선”, “성격”, “직업운”, “재물운”, “연애운”, “조언”, “확인 불가”. Analyze palm shape, finger proportions, life line, head line, heart line, fate line, wealth line, sun line, marriage line, line depth, length, direction, breaks, branches, and overlaps. If something is unclear, write “확인 불가”. Keep the Korean interpretation short, realistic, calm, and advisory. Design style: 1:1 square format, white background, black and warm dark gray text, thin hairline dividers, rounded cards, subtle shadows, large margins, generous negative space, precise grid, minimal line pictograms, luxury editorial report, high-end wellness analysis, elegant and expensive-looking. No English text, no roman letters, no broken Korean, no random glyphs, no colorful decoration, no cartoon style, no occult symbols, no tarot imagery, no horror mood, no messy background, no watermark.

Infographic / Edu Visual - Japanese-Style Facial Analysis Diagnostic Poster
{
"type": "Vertical Physiognomy Diagnosis Report Card Infographic",
"style": "{argument name="report style" default="Japanese professional diagnosis document style"}, warm cream background, rose pink title bars, fine line borders, mix of Serif and Sans-serif fonts, medical report layout feel, soft warm tones, exquisite typography, no illustration decoration",
"layout": {
"Header Section": {
"Main Title": "{argument name="diagnosis title" default="Physiognomy Diagnosis Certificate"}",
"Main Title Font": "Large bold Serif, centered, dark brown",
"Subtitle": "Physiognomy × Statistical Psychology × Impression Analysis",
"Subtitle Font": "Small fine Sans-serif, centered, gray-brown"
},
"First Block": {
"Layout": "Two columns",
"Left Column": {
"Content": "{argument name="portrait content" default="A realistic portrait photo of a young Asian woman with slightly wavy brown hair, delicate features, wearing a light-colored jacket, resting her hand on her cheek, natural expression, in-car background, warm natural light, film photograph quality"}",
"Size": "Approx 1/3 width, spans two rows high"
},
"Right Column": {
"Block Title": "① Overall Facial Impression",
"Block Title Style": "Rose pink background, white text, rounded rectangle title bar",
"Table Content": {
"count": 5,
"Row Data": [
["Outline", "Slightly oval, rounded, giving a gentle impression"],
["Symmetry", "Symmetrical, coordinated proportions"],
["Center of Gravity", "Centered, friendly and natural"],
["Negative Space", "Moderate space on forehead, cheeks, and jaw; strong sense of cleanliness"],
["Feature Density", "Features neatly arranged, blending cuteness and elegance"]
]
},
"First Impression Text": "First Impression: Friendly and natural, strong sense of cleanliness, an aura that makes people want to protect you.",
"Social Character": "Social Character: Healing-type popular figure. Good at listening, gains trust in a supportive role."
}
},
"Second Block (Three Columns)": {
"Layout": "Three equal horizontal sections",
"Column 1": {
"Block Title": "② Forehead",
"Small Portrait Insert": "Forehead area highlighted",
"Table": [
["Width", "Slightly wide, rounded"],
["Roundness", "Natural arc, soft"],
["Tilt", "Slightly backward, steady impression"]
],
"Interpretation": "Interpretation: Possesses intellectual sense and flexible thinking. Naturally lucky and favored by the environment."
},
"Column 2": {
"Block Title": "③ Eyebrows",
"Small Portrait Insert": "Eyebrow area highlighted",
"Table": [
["Density", "Slightly light, natural"],
["Shape", "Soft arch"],
["Angle", "Slightly upturned"],
["Symmetry", "Basically symmetrical, stable"]
],
"Interpretation": "Interpretation: Willpower is not overly rigid, possesses flexibility. High coordination, medium to high stress resistance."
},
"Column 3": {
"Block Title": "④ Eyes",
"Small Portrait Insert": "Eye area highlighted",
"Table": [
["Size", "Slightly large, high iris ratio"],
["Shape", "Rounded almond shape"],
["Spanning", "Slightly wide, sense of leisure"]
],
"Interpretation": "Interpretation: Strong perception, sharp intuition. High empathy, good at reading minds."
}
},
"Third Block (Three Columns)": {
"Layout": "Three equal horizontal sections",
"Column 1": {
"Block Title": "⑤ Nose",
"Table": [
["Height", "Slightly high, upright"],
["Width", "Delicate, sense of nobility"],
["Tip", "Rounded, soft"]
],
"Interpretation": "Interpretation: Possesses realistic judgment, financial fortune belongs to the steady accumulation type."
},
"Column 2": {
"Block Title": "⑥ Lips",
"Table": [
["Size", "Slightly small, exquisite"],
["Thickness", "Balanced thickness"],
["Corners", "Slightly upturned"]
],
"Interpretation": "Interpretation: Affectionate, good at listening. Words have the power to heal others."
},
"Column 3": {
"Block Title": "⑦ Jaw/Outline",
"Table": [
["Line", "Rounded, feminine"],
["Jawline", "Smooth and soft"]
],
"Interpretation": "Interpretation: Steady personality, stable aspirations. Good fortune in later life, supported by others."
}
},
"Fourth Block (Two Columns)": {
"Layout": "Two columns",
"Left Column": {
"Block Title": "⑧ Facial Proportions Balance",
"Proportion Diagram": "A frontal female face diagram marking equal thirds for upper/middle/lower face, each labeled '1/3 each', with 'good left-right balance' noted at the bottom",
"Description": "Close to golden ratio, stable flow of luck. Success depends on broad social relationships."
},
"Right Column": {
"Block Title": "⑨ Comprehensive Diagnosis",
"Personality Essence": "Personality Essence: Gentle and delicate, good at sensing others' emotions. Pacifist, values harmony.",
"Strengths (3 Items)": {
"Label": "Strengths (3 Items)",
"items": ["Strong empathy, gains others' trust", "Flexible and adaptable", "High sense of beauty and intuition"]
},
"Weaknesses (3 Items)": {
"Label": "Weaknesses (3 Items)",
"items": ["Too considerate of others, leading to fatigue", "Tends to be overly modest", "Personal opinions tend to recede"]
},
"Suitable Careers": "Hospitality, Sales, Beauty, Medical, Education, Consulting, PR, Design, Planning, etc. Work involving people and utilizing sensitivity ◎",
"Romantic Tendencies": "The type to dive in fully once in love. Values security, attracted to sincere partners. Not good with restrictiveness, values trust.",
"Pattern to Avoid": "Over-accommodating others"
}
}
}
}
Concept Font Poster Prompt
Create ONE finished premium conceptual typography poster for the exact title: "[INPUT_TEXT]" Single poster only. No moodboard, grid, presentation board, mockup, captions, prompt text, process sheet, or sample labels. The title "[INPUT_TEXT]" must be the dominant visual structure of the poster: huge, readable, powerful, and spelled exactly. Do not translate, shorten, replace, or misspell it. Do not add other large readable text. Optional micro catalog text is allowed only if it stays subtle and secondary. Silently interpret the title's meaning, mood, cultural aura, symbolic associations, psychological tension, and visual rhythm. Turn that interpretation into one strong visual metaphor. Typography is the hero. Design custom-looking letterforms whose weight, width, contrast, spacing, rhythm, distortion, negative space, edge quality, and ink texture express the temperament of the title. The type should feel intentionally designed, not like a default font. If "[INPUT_TEXT]" refers to a widely known person, make a large editorial portrait or full / half-body figure a major visual presence, occupying roughly 40–70% of the composition. The figure should feel recognizable through aura, posture, styling, era, expression, lighting, and symbolic atmosphere, but should not copy a specific existing photograph, official poster, campaign image, logo, slogan, or copyrighted composition. The portrait must interact with the typography: overlapping the letters, emerging from them, being framed by them, casting shadows on them, breaking through them, or being partially hidden behind them. For all other titles, use a human figure, landscape, object, or atmospheric setting only when it strengthens the meaning. It must interact with the typography and deepen the concept, not decorate it. Use a rich but restrained 4–6 color system matched to the theme: dominant background color, primary typography color, figure / landscape tone, emotional accent color, muted support color, and subtle paper / ink texture tone. Avoid flat black-white-red defaults unless conceptually necessary. Composition style: high-end editorial poster, museum-quality graphic design, dramatic scale, strong hierarchy, few elements, intelligent whitespace, bold flat color areas, sharp cropping, silkscreen / lithograph / risograph grain, paper fibers, subtle ink imperfections, refined visual tension. The final image should feel like a complete visual sentence: the title, the figure or setting, the color, and the typography explain each other. Avoid generic word art, glossy 3D lettering, random icons, stock-photo realism, cluttered collage, excessive grunge, tourist clichés, official logos, copied slogans, copied campaign aesthetics, unrelated text, and misspelled typography. ----- INPUT_TEXT: Phoenix Rebirth
Related prompt guides and libraries
FAQ about Stable Diffusion
How do I use Stable Diffusion prompts from gptimages.dev?
Start with the examples that match your visual job, then copy the prompt structure rather than copying every adjective. Replace the subject, scene, channel, aspect ratio, and constraints with your own details. If the first result is close, keep the successful parts fixed and change one variable at a time. This makes the page useful as a prompt library, not just a keyword page.
What is the best prompt format for Stable Diffusion?
A dependable format is brief first, details second, checks last: describe the image goal, then the subject, scene, composition, style, reference rules, and output constraints. For models such as GPT-IMAGE-2, Nano Banana 2, Stable Diffusion, Midjourney, or Jimeng AI, keep the core prompt portable and add tool-specific settings only when the interface supports them.
Can I reuse these prompts across different AI image models?
Yes, but reuse the structure more than the exact syntax. A prompt that works in one generator may need different wording, reference strength, aspect ratio settings, or negative prompts in another. The safest workflow is to preserve the creative brief, then adapt only the model-specific layer after you inspect the first output.
How should I collect the best AI image prompts?
Save prompts with the final image, model or tool name, aspect ratio, reference images, and a short note explaining why the result worked. Group them by use case such as product photography, character consistency, UI mockups, posters, logos, or text-in-image prompts. That collection becomes much more useful than a flat list of attractive phrases.
Why do Stable Diffusion prompts fail?
Common causes include unclear subject hierarchy, too many styles in one prompt, vague quality words, unsupported text requirements, missing reference rules, and uncontrolled iteration. Fix the prompt by naming the production goal, protecting the details that cannot change, and testing one adjustment per generation instead of rewriting the whole prompt every time.
Are these prompt examples enough for commercial work?
They are a starting point, not legal or brand clearance. For commercial work, check the terms of the model or generator, review rights for reference images, verify text and logos manually, and keep a record of the prompt, source assets, and final edits. The page helps with prompt quality, while usage rights still depend on your workflow and provider terms.
