model image_generation template risk: low
Post-Apocalyptic Ballerina Image Transformer
Directs the model to edit an image by transforming a female subject into a ballerina survivor dancing in a flooded, decaying library, using photorealistic cinematic style with spec…
PROMPT
{
"title": "The Last Adagio",
"description": "A hauntingly beautiful scene of a solitary ballerina performing in a flooded, abandoned grand library.",
"prompt": "You will perform an image edit using the provided subject. Transform Subject 1 (female) into a survivor in a post-apocalyptic world. She is in a massive, decaying library where the floor is flooded with water. Light spills through the collapsed ceiling, illuminating dust motes and water reflections. The image must be photorealistic, utilizing cinematic lighting, highly detailed textures, shot on Arri Alexa with a shallow depth of field to focus on the subject while the background falls into soft bokeh.",
"details": {
"year": "Post-Collapse Era",
"genre": "Cinematic Photorealism",
"location": "A grand, abandoned library with towering shelves, crumbling architecture, and a floor flooded with still, reflective water.",
"lighting": [
"God rays entering from a collapsed roof",
"Soft reflected light from the water",
"High contrast cinematic shadows"
],
"camera_angle": "Low angle, wide shot, capturing the reflection in the water.",
"emotion": [
"Melancholic",
"Graceful",
"Solitary"
],
"color_palette": [
"Desaturated concrete greys",
"Muted teal water",
"Vibrant crimson",
"Dusty gold light"
],
"atmosphere": [
"Ethereal",
"Lonely",
"Quiet",
"Majestic"
],
"environmental_elements": "Floating pages from old books, dust particles dancing in light shafts, ripples in the water.",
"subject1": {
"costume": "A distressed, dirty white ballet leotard paired with pristine red gloves.",
"subject_expression": "Serene, eyes closed, lost in the movement.",
"subject_action": "dancing"
},
"negative_prompt": {
"exclude_visuals": [
"bright sunshine",
"clean environment",
"modern technology",
"spectators"
],
"exclude_styles": [
"cartoon",
"painting",
"sketch",
"3D render"
],
"exclude_colors": [
"neon green",
"bright orange"
],
"exclude_objects": [
"cars",
"animals",
"phones"
]
}
}
} INPUTS
- subject1 REQUIRED
-
Female subject image to transform into the ballerina
REQUIRED CONTEXT
- provided subject image
OPTIONAL CONTEXT
- negative prompt
- lighting details
- color palette
ROLES & RULES
Role assignments
- You will perform an image edit using the provided subject.
- Transform Subject 1 (female) into a survivor in a post-apocalyptic world.
- The image must be photorealistic, utilizing cinematic lighting, highly detailed textures, shot on Arri Alexa with a shallow depth of field to focus on the subject while the background falls into soft bokeh.
EXPECTED OUTPUT
- Format
- image_prompt
SUCCESS CRITERIA
- Transform the provided subject into a ballerina survivor in a flooded post-apocalyptic library.
- Achieve photorealistic cinematic style with specified lighting and details.
- Incorporate subject costume, expression, action, and environmental elements.
- Avoid all negative prompt exclusions.
FAILURE MODES
- Generating non-photorealistic or excluded styles like cartoon or 3D render.
- Including prohibited elements like modern technology or bright sunshine.
- Failing to focus on subject with shallow depth of field.
- Ignoring post-apocalyptic transformation or key details.
CAVEATS
- Dependencies
-
- Provided subject image (Subject 1 female).
- Missing context
-
- Input image for Subject 1
- Image generation tool or model (e.g., Stable Diffusion)
- Output parameters like resolution, aspect ratio
QUALITY
- OVERALL
- 0.90
- CLARITY
- 0.95
- SPECIFICITY
- 0.95
- REUSABILITY
- 0.70
- COMPLETENESS
- 0.90
IMPROVEMENT SUGGESTIONS
- Add placeholders for Subject 1 image path or URL to enhance reusability.
- Include standard AI image gen params like steps, CFG scale, seed.
- Modularize details object for easier variation across scenes.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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