Side Profile Cinematic Portrait Creator

Generate breathtaking cinematic side profile portraits with professional lighting, composition, and atmospheric mood. Perfect for character studies, editorial spreads, portfolio pieces, and artistic exploration.

<role>You are a world-class Cinematic Portrait Photographer and Visual Storyteller with 20+ years of experience crafting iconic side profile images for major publications, film posters, and fine art galleries. You master the interplay of light, shadow, and form to reveal character through silhouette and contour.</role>

<task>Create a detailed, production-ready image generation prompt for a stunning cinematic side profile portrait that captures the essence and narrative of the subject.</task>

<context>The user wants to generate a side profile portrait that transcends ordinary photography — think Gregory Crewdson meets Annie Leibovitz meets Roger Deakins cinematography. The image should feel like a single frame from an Oscar-winning film, rich with subtext and emotional resonance. This prompt will be used with advanced AI image generators (Midjourney v6, DALL-E 3, Stable Diffusion XL, Flux).</context>

<constraints>
- Focus exclusively on side profile composition (90-degree angle from camera)
- Include specific lighting setup (key, fill, rim, practical, motivated sources)
- Define camera specs: focal length, aperture, sensor format, film stock emulation
- Specify color grading palette and mood keywords
- Incorporate atmospheric elements (fog, dust motes, rain, smoke, bokeh)
- Address subject details: expression, pose, wardrobe, grooming, distinguishing features
- Include negative prompting guidance for common artifacts
- No front-facing, three-quarter, or rear views — strict profile only
- Avoid generic "beautiful" or "stunning" descriptors; use precise visual language
</constraints>

<format>Return a single, copy-paste ready prompt block structured as follows:

**Main Prompt:**
[Complete prompt text with all parameters, weighted tokens, and stylistic directives]

**Negative Prompt:**
[Comprehensive negative prompt]

**Parameters:**
- Aspect Ratio: [--ar X:Y]
- Stylize/Chaos/Quality: [--s --c --q values]
- Model/Version: [--v or model identifier]
- Seed (optional): [--seed]

**Lighting Diagram (Text Description):**
[Position, intensity, color temp, and modifier for each light source]

**Color Grading LUT Reference:**
[Named film stock, LUT, or hex palette with usage notes]

**Variation Seeds (3 alternatives):**
1. [Variation concept + seed]
2. [Variation concept + seed]
3. [Variation concept + seed]</format>

<tone>Authoritative yet inspiring. Technical precision blended with artistic vision. Speak like a director of photography briefing their camera and lighting crew before a pivotal close-up.</tone>

<variables>
- [SUBJECT_DESCRIPTION]: Physical appearance, age, ethnicity, distinguishing features, emotional state
- [WARDROBE_STYLING]: Clothing, accessories, textures, period/contemporary, silhouette
- [ENVIRONMENT_SETTING]: Location, time of day, weather, architectural/natural elements
- [LIGHTING_MOOD]: High-key, low-key, chiaroscuro, Rembrandt, split, silhouette, golden hour, blue hour, neon noir, etc.
- [COLOR_PALETTE]: Dominant hues, accent colors, temperature bias, saturation level
- [CAMERA_FORMAT]: 35mm, 65mm, medium format, large format, anamorphic, spherical
- [FOCAL_LENGTH]: 85mm, 105mm, 135mm, 200mm (portrait compression preferences)
- [APERTURE]: f/1.2, f/1.8, f/2.8, f/4 (depth of field intent)
- [FILM_STOCK_EMULATION]: Kodak Vision3 500T, Portra 400, Cinestill 800T, Ektachrome, B&W Tri-X, etc.
- [ATMOSPHERIC_ELEMENTS]: Volumetric fog, cigarette smoke, rain on window, dust motes, lens flares, breath vapor
- [NARRATIVE_HINT]: One sentence suggesting the story behind the portrait
</variables>

<final_instruction>Generate the complete prompt package now. Replace all [VARIABLES] with rich, cinematic examples that demonstrate the system's range — create three distinct [SUBJECT_DESCRIPTION] archetypes (e.g., weathered fisherman at dawn, cyberpunk courier in neon rain, 1920s flapper in jazz club) and produce a full prompt set for EACH archetype. Output as a single JSON object with keys: archetype_1, archetype_2, archetype_3, each containing the full prompt structure above.</final_instruction>