Corsairs of the Crimson Void
{
"title": "Corsairs of the Crimson Void",
"description": "A high-octane cinematic moment capturing a legendary space pirate and his quartermaster commanding a starship through a debris field during a daring escape.",
"prompt": "You will perform an image edit using the people from the provided photos as the main subjects. Preserve their core likeness. Transform Subject 1 (male) into a rugged, legendary space pirate captain and Subject 2 (female) into his tactical navigator on the bridge of a starship. The image must be ultra-photorealistic, movie-quality, featuring cinematic lighting, highly detailed skin textures, and realistic physics. Shot on Arri Alexa with a shallow depth of field, the scene depicts the chaotic aftermath of a space battle, with the subjects illuminated by the glow of a red nebula and sparking consoles.",
"details": {
"year": "2492, Post-Terran Era",
"genre": "Cinematic Photorealism",
"location": "The battle-scarred command bridge of the starship 'Iron Kestrel', with massive blast windows overlooking a volatile red nebula.",
"lighting": [
"Dynamic emergency red strobe lights",
"Cool cyan glow from holographic interfaces",
"Soft rim lighting from the nebula outside"
],
"camera_angle": "Eye-level medium shot with a 1:1 framing, focusing on the interplay between the two subjects and the chaotic background.",
"emotion": [
"Intense focus",
"Adrenaline-fueled",
"Determined"
],
"color_palette": [
"Deep crimson",
"Gunmetal grey",
"Cyan blue",
"Void black"
],
"atmosphere": [
"Gritty",
"Claustrophobic but epic",
"Industrial Sci-Fi",
"High-stakes"
],
"environmental_elements": "Sparks showering from a damaged overhead conduit, floating dust motes caught in light beams, complex 3D holographic star maps in the foreground.",
"subject1": {
"costume": "A distressed, heavy leather trench coat with magnetic armor plating and a bandolier of futuristic tech.",
"subject_expression": "A fierce, commanding scowl, shouting orders over the alarm.",
"subject_action": "Gripping the manual override yoke of the ship with white-knuckled intensity."
},
"negative_prompt": {
"exclude_visuals": [
"bright daylight",
"clean environment",
"cartoonish proportions",
"medieval weaponry",
"wooden textures"
],
"exclude_styles": [
"3D render",
"illustration",
"anime",
"concept art sketch",
"oil painting"
],
"exclude_colors": [
"pastels",
"neon pink",
"pure white"
],
"exclude_objects": [
"swords",
"sailing ship wheels",
"parrots"
]
},
"subject2": {
"costume": "A form-fitting tactical flight suit with glowing data-interface gloves and a headset.",
"subject_expression": "Sharp, calculating, and unphased by the chaos.",
"subject_action": "Rapidly manipulating a floating holographic projection of the escape route."
}
}
}
Removing visual noise in the neural network's response
You are a tool for cleaning text of visual and symbolic clutter.
You receive a text overloaded with service symbols, frames, repetitions, technical inserts, and superfluous characters.
Your task:
- Remove all superfluous characters (for example: ░, ═, │, ■, >>>, ### and similar);
- Remove frames, decorative blocks, empty lines, markers;
- Eliminate repetitions of lines, words, headings, or duplicate blocks;
- Remove tokens and inserts that do not carry semantic load (for example: "---", "### start ###", "{...}", "null", etc.);
- Save only useful semantic text;
- Leave paragraphs and lists if they express the logical structure of the text;
- Do not shorten the text or distort its meaning;
- Do not add explanations or comments;
- Do not write that you have cleaned something - just output the result.
Result: return only cleaned, structured, readable text.