Image(Widescreen, The Ultimate Question: Can the Fittest Survive Without Harmony?, NoText)
a 10-year-old kidâs idea
Prompt
- title: âFinal Descent: Parachute Failureâ
camera_angle: top-down (birdâs-eye)
shot_type: extreme wide shot
lens: 35mm (emotional proximity at distance)
aspect_ratio: 2.39:1
image_size: 1792x1024
lighting: harsh daylight above clouds
composition: single man in freefall, arms flailing, wind tearing at clothing
subject:- role: skydiver
age: early 30s
gender: male
emotion: existential terror and disbelief
facial_microexpressions:
eyes: bulging wide, tear-streaked, upward toward sky
eyebrows: high, asymmetrical, deeply furrowed
mouth: open in a twisted scream, lips stretched, saliva strands visible
jaw: locked, tense with panic
skin: flushed, wind-battered, sweat beading
body_language:
hands: open, fingers splayed in helpless grasp
arms: flung outward, uncoordinated, desperate
shoulders: lifted, recoiling
posture: back arched, limbs outstretched in chaotic motion
legs: flailing midair, one knee bent
background: clouds tearing past, no parachute in sight, distant ground far below
mood_descriptor: fatal panic, powerlessness
theme: mortality, suspended time, fear at terminal velocity
- role: skydiver
Prompt
- title: âTerminal Drop: Skybound Witnessesâ
camera_angle: top-down (birdâs-eye)
shot_type: wide cinematic aerial shot
lens: 35mm (emotive depth in chaotic motion)
aspect_ratio: 2.39:1
image_size: 1792x1024
lighting: sharp overhead daylight, casting soft shadows on thin clouds
composition: central figure in chaotic freefall, flanked by two skydivers at different altitudes and distances, both caught in authentic mid-air response
subjects:- role: central falling man (parachute failed)
age: early 30s
gender: male
emotion: terminal fear and disbelief
facial_microexpressions:
eyes: stretched wide, glistening, fixed upward
eyebrows: asymmetrical, furrowed hard
mouth: wide open in a scream, lips wind-stretched
jaw: clenched, cheeks taut from wind pressure
skin: flushed, wind-battered
body_language:
arms: flailing out of control, hands open and strained
torso: twisted from tumbling motion
legs: splayed in uneven descent
spine: arched backward, resisting spin - role: witness skydiver 1 (closer left)
age: late 20s
gender: female
emotion: desperate urgency
facial_microexpressions:
eyes: wide, locked on the falling man
mouth: slightly parted in shock
eyebrows: pulled together, sharp inward angle
body_language:
arms: outstretched toward him, hands open
posture: belly-down dive, legs straight behind
body: angled downward, diving slightly to catch up - role: witness skydiver 2 (higher right)
age: early 40s
gender: male
emotion: stunned paralysis
facial_microexpressions:
eyes: narrowed, unblinking
mouth: tight, corners turned down
eyebrows: raised, uneven
body_language:
arms: partially bent at sides
posture: half-rotated in air, mid-tumble
legs: trailing awkwardly, body trying to stabilize
background: broken white clouds streaking past, distant ground below
mood_descriptor: dread, helplessness, emotional gravity
theme: witnessing the irreversible, human reaction to sudden death
- role: central falling man (parachute failed)
Prompt
title: Emotionally Dynamic Superhero Family Portrait (Rainy Battle Day)
description: A close-up, ultra-realistic portrait of a superhero couple and their clever child, each with distinct attire, emotion, hairstyle, and expressive hand gestures
quality: high-definition
resolution: ultra-realistic
size: wide
aspect_ratio: 2.39:1
image_size: 1792x1024
format: indistinguishable from a real photograph
composition:
type: very close-up
pose:
formation: child between both adults, faces close together
contact: adult foreheads touching the childâs head
gaze:
all: looking directly at the viewer
lighting:
type: soft, bright natural daylight
effect: reveals facial textures, rain gloss, emotional detail
background:
style: blurred, misty rain atmosphere
effect: isolates emotional expressions, cinematic drama
characters:
- role: male superhero
age: late 30s to early 40s
gender: male
emotion: fear, concern
eyes:
emotion: deeply worried
detail: wide, slightly reddened with tension
face:
condition: wet with rain, bruised
wrinkles: stress lines on forehead, crowâs feet
hair:
style: slicked back, rain-soaked
color: ash grey
attire:
suit: dark teal armored fabric with glowing circuitry seams
texture: scratched, damp
hand_gesture:
left_hand: pressing against own forehead
meaning: overwhelmed by fear or realization - role: female superhero
age: late 30s to early 40s
gender: female
emotion: stunned, caught off guard
eyes:
emotion: shock
detail: wide, glistening, fixated
face:
features: freckled, lightly scarred from battle
condition: damp, tense jaw
hair:
style: wavy, shoulder-length
color: crimson red
attire:
suit: metallic bronze battle suit with angular, wing-like armor extensions
texture: scratched but intact, rain-beaded
hand_gesture:
right_hand: covering her own mouth
meaning: gasping, unsure how to react - role: child
age: about 10
gender: open (gender-neutral expression)
emotion: mischievous, playful
eyes:
emotion: sparkly and cunning
detail: squinting slightly with clever intent
face:
expression: subtle, sly smile
texture: soft skin, minor smudge of dirt
mouth:
shape: playful smirk
hair:
style: curly and bouncy
color: vibrant electric blue
attire:
suit: bright yellow stealth suit with neon green trim and playful design
texture: pristine compared to parents, glowing slightly
hand_gesture:
right_hand: index finger placed on lips in a âShh!â pose
meaning: playfully hiding a surprise, looking secretive
body_language:
posture: confident, upright, quietly proud of something unknown to the parents
theme: emotional complexity, heroic vulnerability, humor, and family unity
style: ultra photo-realistic cinematic portrait
Prompt
- title: âBehind the Fall: Skydivers on Setâ
camera_angle: medium wide shot
shot_type: staged action behind-the-scenes
lens: 50mm (natural human perspective)
aspect_ratio: 2.39:1
image_size: 1792x1024
lighting: bright studio lights, soft diffusion
composition: three skydiver actors suspended mid-air by visible rigging ropes, held in dramatic falling poses; camera crew and scenarist standing on studio floor smiling and giving thumbs-up
subjects:- role: skydiver actor 1 (center)
age: early 30s
gender: male
emotion: mock panic (acting)
facial_microexpressions:
eyes: widened in theatrical fear
mouth: exaggerated open scream
eyebrows: cartoonishly furrowed
body_language:
arms: flung outward
legs: splayed in mid-fall position
rope_harness: visible at waist and thighs, suspending him diagonally - role: skydiver actor 2 (left)
age: late 20s
gender: female
emotion: playful, trying not to laugh
facial_microexpressions:
eyes: squinting slightly with joy
lips: pressed together to hold in laughter
eyebrows: lifted in amusement
body_language:
arms: posed in reaching position
torso: angled downward, suspended by ropes from shoulder rig
legs: bent in air, one foot twitching - role: skydiver actor 3 (right)
age: mid 40s
gender: male
emotion: exaggerated dread (acting)
facial_microexpressions:
eyes: comically wide, eyebrows raised high
mouth: shaped in slow-motion scream
body_language:
posture: upright but leaning back as if falling
arms: one raised overhead, other reaching sideways
rope_rig: harness attached at hips and chest, clearly exposed - role: cameraman
age: 30s
gender: male
emotion: amused professionalism
body_language:
hands: holding steady cam
posture: relaxed stance
expression: smiling broadly - role: scenarist/script supervisor
age: late 20s
gender: female
emotion: joyful pride
body_language:
hand: holding clipboard
gesture: giving thumbs-up toward camera
smile: wide, head slightly tilted
background: fully visible green screen wall, floor with taped X marks, lighting rig overhead, crew gear on rolling carts
mood_descriptor: cheerful, playful behind-the-scenes fun
theme: cinematic illusion, production magic, shared laughter on set
- role: skydiver actor 1 (center)
I am getting some pretty distasteful images back off 4o-imagesâŚ
Happy not to have a TV in our house, nothing is real
Image(Widescreen, No Text(), Donât touch the phone itâs AI)
A little uncomfortableâŚ
Visual Prompting Workflow â Updated for Meta Layer + Image Rendering
User Experience Note:
Iâve found that even now, using JSON structures, while not strictly necessary in modern prompt systems, still helps significantly in keeping things modular and reusable. Itâs especially handy when building flexible workflows for structured visual generationâlike what weâre doing here.
Woman on a throne (City in background, candles)
Usable Workflow
Custom GPT Setup with Integrated Meta Prompt
This GPT uses a meta prompt with layers to transform basic concepts into beautifully structured image prompts suitable for platforms like Piclumen, Ideogram, or DALL¡E rendering.
Instructions for the Custom GPT:
-
User Input Handling
When the user provides a high-level concept or description (e.g., âLatina warrior queen at golden hourâ), the GPT transforms it using the layered meta prompt below. -
Meta Prompt Integration
The following meta prompt is applied to structure all concrete image prompts:Write a highly detailed and structured prompt for generating a visually stunning image. Break the description into layers for clarity and precision. Each layer should focus on a specific aspect of the image. Include the following layers: 1. Pose and Style 2. Clothes and Accessories 3. Realism Layers (skin, hair, facial features) 4. Hands 5. Eyes 6. Camera and Lighting 7. Background and Environment 8. Emotion and Storytelling 9. Interaction with the Environment 10. Cultural Symbols 11. Artistic Filters or Styles 12. Viewer Engagement Ensure that the resulting prompt is clear, vivid, and tailored for platforms like Piclumen or Ideogram.
-
Workflow Steps
- Step 1: Take user input (scene, mood, character, etc.).
- Step 2: Use the meta prompt to build a concrete, layered visual prompt.
- Step 3: Output that detailed prompt for external use.
- Step 4: Render the scene with a visual tool like DALL¡E or Imagen (preferred).
-
Output Handling
Show the detailed text prompt
Automatically generate a visual using the rendering tool
Allow user to iterate further by tweaking layers
Example Integration
User Input
âA Latina sitting on a throne in a temple at golden hour with Mexican-Dominican fashion.â
Generated Prompt (via Meta Prompt)
A regal Latina woman sits confidently on a carved stone throne in a sunlit temple at golden hour, her slightly curly black hair softly framing her glowing face. She wears a red floral skirt and a golden embroidered blouse, accented by large gold creole earrings, a wide bronze arm band, and a leather choker with a glowing emerald gemstone. The temple blends into a distant cityscape, with candlelight flickering near the base of the throne. Her gaze is calm and powerful, the warm light casting golden halos around her hair and accessories. The scene feels sacred, cinematic, and culturally rich, evoking a blend of ancient legacy and contemporary elegance.
Rendered Output
Rendered using DALL¡E or other integrated platform:
(Image displayed inline â see above)
Final Thoughts
- Use this structure to generate reproducible, modular, layered image prompts.
- You can expand or collapse sections dynamically based on platform or use case.
- The meta prompt can serve as a reusable function or component in custom GPT setups.
That text structure is coolâŚ
I wonder what the differences are between doing this? I am not a designer or artist.
This is my simplistic take!
Many restrictionas have been removed silently.
Before an injection + kids were not allowed in many tries.
had an idea for something that looked like this on first attempt:
kept iterating with Chad (and employing variations of @phyde1001 structured prompts for the image generations) and we eventually got to this:
i could keep futzing with it like iâm looking for the right hihat sound but yeah. it is a version of the thing i envisioned so yay
Create In an image grid, generate these words:
[[red, green, blue],
[cyan, magenta, yellow],
[hue, saturation, value]],
produced with texts of these colors:
[[violet, cyan, orange],
[pink, navy, indigo],
[RebeccaPurple, AliceBlue, Sienna]]
Prompt-1
A neatly arranged 3x3 wall-mounted square grid of compartments, each containing a stylized textured surface and a color word that exactly matches the actual color. Each compartment should include:
⢠Top Row (Left to Right):
-
The word âGREENâ written in green on a grass-textured green background
-
The word âBLUEâ written in blue on a rippling water-textured blue background
-
The word âREDâ written in red on a soft velvet-textured red background
⢠Middle Row (Left to Right):
-
The word âGRAYâ written in gray on a concrete or metallic gray background
-
The word âYELLOWâ written in yellow on a sunflower petal or warm yellow background
-
The word âBLACKâ written in black on a dark matte or carbon-fiber black background
⢠Bottom Row (Left to Right):
-
The word âBROWNâ written in brown on a textured soil or leather-like brown background
-
The word âPURPLEâ written in purple on a soft velvet or violet floral purple background
-
The word âWHITEâ written in white on a cloud-textured or snowy white background
Use clean, bold sans-serif font for all words, centered in each square. Ensure excellent color accuracy and contrast to make the words clearly readable against their matching backgrounds. Use a modern, well-lit photo-realistic style with even lighting and subtle shadows inside the compartments.
Prompt-2
Generate a wide-size 3:2 aspect ratio cartoon-style educational image for kindergarten students that teaches colors. The scene must be bright, playful, and simple, using a cheerful cartoon art style and easy-to-read bold sans-serif font suitable for young children. Do not include the word âcolorsâ anywhere in the image. Each label must be placed directly on an object uniformly filled with its respective color. The text color must be a slightly darker or lighter shade of the same color for readability, while still matching the labeled object.
Scene specifications:
1. A single mushroom on left side of the image with a fully red cap and a pristine white stem.
⢠The word âREDâ must appear in bold red letters (slightly lighter or darker red) directly on the red cap.
⢠The word âWHITEâ must appear in bold white letters (adjusted for contrast if needed) directly on the white stem as WHITE.
2. Green grass should fill the ground at the bottom of the image.
⢠The word âGREENâ must be centered horizontally at the bottom of the image, written in bold green letters (contrasting green tone) directly on the grass.
3. A purple ball sitting on the green grass, filled uniformly with purple color.
⢠The word âPURPLEâ must be written in bold purple letters (slightly darker or lighter purple) directly on the ball.
4. A blue sky across the top of the image.
⢠The word âBLUEâ must float in the sky in bold blue letters (contrasting blue shade).
5. A pink cloud in the sky.
⢠The word âPINKâ must be inside the pink cloud, in bold pink letters (matching and clearly visible).
6. A yellow cloud in the sky.
⢠The word âYELLOWâ must be inside the yellow cloud, in bold yellow letters (matching and clearly visible).
Do not include any additional text or labels. Every label must appear only on its corresponding colored object. Ensure all elements are clear, well-positioned, and engaging for early learners.
Prompt-3
educational_image:
purpose: âColor recognition for kindergarten studentsâ
aspect_ratio: â3:2 wideâ
style:
art_style: âPhotorealisticâ
lighting: âBright, natural daylightâ
environment: âOutdoor grassy field with soft shadowsâ
objects:
- type: âToy ballâ
color: âRedâ
material: âPlasticâ
label: âREDâ
label_style: âBold sans-serif, slightly darker or lighter redâ
label_position: âCentered on the red surfaceâ
- type: âToy carâ
color: âBlueâ
material: âGlossy plasticâ
label: âBLUEâ
label_style: âBold sans-serif, slightly lighter or darker blueâ
label_position: âAcross the side of the carâ
- type: âBuilding blockâ
color: âYellowâ
material: âMatte plasticâ
label: âYELLOWâ
label_style: âBold sans-serif, tonal contrast in yellowâ
label_position: âTop surface of blockâ
- type: âToy dinosaurâ
color: âGreenâ
material: âRubberâ
label: âGREENâ
label_style: âBold sans-serif, slightly darker greenâ
label_position: âOn the dinosaurâs backâ
- type: âOrange tabby catâ
color: âOrangeâ
material: âFurâ
label: âORANGEâ
label_style: âBold sans-serif, clear orange contrastâ
label_position: âOn the side of the catâs body, visible and readable without obstructing natural featuresâ
- type: âToy cubeâ
color: âPurpleâ
material: âWoodâ
label: âPURPLEâ
label_style: âBold sans-serif, slightly darker or lighter purpleâ
label_position: âOn cubeâs front faceâ
- type: âToy airplaneâ
color: âPinkâ
material: âSmooth plasticâ
label: âPINKâ
label_style: âBold sans-serif, contrasting pinkâ
label_position: âOn airplane wingâ
- type: âToy boatâ
color: âWhiteâ
material: âPlasticâ
label: âWHITEâ
label_style: âBold sans-serif, off-white or grayish toneâ
label_position: âOn boatâs hullâ
- type: âToy hammerâ
color: âBrownâ
material: âWoodâ
label: âBROWNâ
label_style: âBold sans-serif, light brown labelâ
label_position: âOn handleâ
- type: âToy starâ
color: âBlackâ
material: âPlasticâ
label: âBLACKâ
label_style: âBold sans-serif, light gray textâ
label_position: âOn center of starâ
- type: âToy ballâ
color: âGrayâ
material: âRubberâ
label: âGRAYâ
label_style: âBold sans-serif, darker or lighter grayâ
label_position: âOn curved surfaceâ
background:
sky: âClear photorealistic blue skyâ
grass: âLush green field across bottom of imageâ
label_requirements:
-
âEach label must match the color name of the object it appears onâ
-
âNo extra text allowedâ
-
âText must be readable, contrast-optimized, and child-friendlyâ
Some details are still hard to finetune, particularly the subtle onesâŚ
prompt
Top-down view of a room with wooden floors and a single window on one of the walls. Five animals are sitting in a perfect circle on the floor.
Starting from the top (12 oâclock position) and going clockwise:
A blue cat
A yellow bird
A green dog
A red lion
A grey wolf
The blue cat is looking at the yellow bird.
The yellow bird is looking at the grey wolf.
The grey wolf is looking at the red lion.
The red lion is looking at the window.
The green dog is sitting calmly with its eyes closed.
Attempt to make the cat look into the bird using region selection: âmake the cat look at the birdâ
Another attempt (almost there):