Trained on Civit with Hunyuan Video !
Retrain of Westwick Style, Flux lora
(narrative illustration set)

Characters in this set:
https://civarchive.com/models/1478175/djz-westwick-detective-vid

Overview

This analysis examines a collection of descriptive captions used to train a generative image model. The dataset consists of detailed scene descriptions that follow a consistent format and share distinctive visual and atmospheric elements. The model appears designed to generate moody, atmospheric images with strong noir and dystopian aesthetics.

Prompt Structure and Triggers

Basic Prompt Structure

• Each prompt begins with: photo of xwx style, .

• This is followed by: The video depicts... with a detailed scene description

Trigger Words

• "xwx" appears to be the primary style trigger placeholder

• The phrase "style" indicates this is a stylistic identifier

• The combination "photo of xwx style" likely conditions the model to generate images with specific visual characteristics

• The term "video depicts" suggests these may be descriptions of video frames or that the model can interpret video-like scenes

Thematic Categories & Visual Elements

Dominant Settings

1. Abandoned/Decaying Environments (25%)

   • Dilapidated industrial spaces

   • Abandoned buildings with peeling paint and exposed concrete

   • Neglected train cars and subway stations

   • Weathered machinery and equipment

2. Water-Related Scenes (35%)

   • Flooded buildings and streets

   • Harbor and dock scenes

   • Reflective wet surfaces

   • Underwater exploration

   • Submerged architecture

3. Industrial/Technical Spaces (20%)

   • Control rooms with monitors and equipment

   • Submarine interiors

   • Laboratory settings

   • Industrial waterfronts

   • Mechanical structures

4. Urban Nightscapes (20%)

   • Rainy city streets

   • Foggy alleyways

   • Neon-lit urban environments

   • Clock towers and bridges

Recurring Visual Elements

1. Lighting Characteristics

   • Neon lights (predominantly red and blue)

   • Dim, atmospheric lighting

   • Harsh contrast between light and shadow

   • Reflective surfaces capturing light sources

2. Atmospheric Conditions

   • Fog/mist (appears in ~40% of descriptions)

   • Rain (appears in ~30% of descriptions)

   • Snow (appears occasionally)

   • Overcast skies

3. Water Elements

   • Reflective wet surfaces (appears in ~60% of descriptions)

   • Flooded interiors (appears in ~25% of descriptions)

   • Rivers, harbors, canals

   • Underwater scenes

4. Character Elements

   • Silhouetted figures

   • People wearing long coats and hats (noir/detective aesthetic)

   • Solitary individuals observing scenes

   • Pairs of people walking through atmospheric environments

   • Scuba divers exploring flooded structures

5. Structural Elements

   • Rust and decay

   • Peeling paint

   • Exposed wiring/pipes

   • Abandoned machinery

   • Weathered buildings

Aesthetic Profile

Dominant Mood/Atmosphere

• Moody/Atmospheric (primary descriptor used throughout)

• Mysterious/Eerie (secondary descriptor)

• Melancholic/Somber (tertiary descriptor)

Style Components

1. Film Noir Influence

   • Characters in trench coats and hats

   • Rain-slicked streets

   • High contrast lighting

   • Urban nightscapes

2. Dystopian Elements

   • Abandoned buildings

   • Post-industrial decay

   • Flooded environments

   • Rusty machinery

3. Cyberpunk Aesthetics

   • Neon lighting (especially red and blue)

   • High-tech equipment in decaying settings

   • Futuristic elements mixed with gritty reality

4. Post-Apocalyptic Themes

   • Flooded cities

   • Overgrown industrial spaces

   • Abandoned technology

   • Characters navigating through ruins

Color Palette

Based on the descriptions, the model emphasizes:

• Blues (especially in water scenes and night lighting)

• Reds (neon signs, warning lights, reflections)

• Oranges/Yellows (warm lighting sources, sunset scenes)

• Greens (underwater tones, certain lighting scenarios)

• High contrast between cool and warm tones

Technical Capabilities

The model appears capable of rendering:

1. Complex Light Interactions

   • Light reflecting on wet surfaces

   • Neon reflections in puddles

   • Silhouettes against bright backgrounds

   • Ambient lighting in foggy environments

2. Atmospheric Effects

   • Fog and mist with varying density

   • Rain effects on surfaces

   • Underwater light diffusion

   • Snow and weather conditions

3. Architectural Detail

   • Decaying structures with texture

   • Industrial machinery with complex shapes

   • Ornate buildings partially submerged

   • Urban environments with varied building types

4. Water Physics

   • Reflective water surfaces

   • Partially submerged objects

   • Underwater environments

   • Water ripples and distortions

Example Prompt Categories

Abandoned Industrial

photo of xwx style, . The video depicts an abandoned industrial area surrounded by water. The buildings show signs of decay and neglect, with peeling paint and rusted structures. The area is overgrown with vegetation, and the water appears murky and polluted.

Noir Urban Scene

photo of xwx style, . The video depicts a rain-soaked urban street scene at night. Two individuals walk away from the camera, their figures silhouetted against the wet pavement. The street is illuminated by various lights, including red neon signs from a nearby building and yellow streetlights.

Flooded Architecture

photo of xwx style, . The video depicts a surreal scene of a library flooded with water, creating an eerie atmosphere. The shelves, filled with books, are partially submerged, with some books floating on the surface and others partially submerged.

Underwater Exploration

photo of xwx style, . The video depicts two scuba divers exploring an abandoned, flooded building with ornate-filled walls and arches. The camera captures the divers from behind as they move through the water-laden hallway, their reflections visible on the wet floor.

High-Tech Control Room

photo of xwx style, . The video depicts the interior of a spacecraft or space station, showcasing various control panels and monitors. The scene is dimly lit with blue and red lights, highlighting the intricate details of the equipment.

Conclusion

The "Westwick Style" image model appears designed to generate atmospheric, moody images with a strong emphasis on dystopian, noir, and post-industrial aesthetics. The model specializes in scenes featuring water elements, abandoned spaces, and nighttime urban environments.

The trigger phrase "photo of xwx style" appears to be the primary conditioning element, with "xwx" serving as a placeholder for the style name. The descriptions consistently emphasize certain visual elements (water reflections, fog, neon lighting) and emotional tones (mysterious, eerie, melancholic) that define the model's distinctive visual language.

The dataset demonstrates the model's capability to render complex lighting effects, atmospheric conditions, architectural details, and water physics, resulting in a cohesive aesthetic that blends elements of film noir, cyberpunk, and post-apocalyptic fiction.