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DJZ Airships V2 Cities

6
71
32
3
Updated: Apr 15, 2025
base modelcitiesdjzairships
Verified:
SafeTensor
Type
LoRA
Stats
52
32
240
Reviews
Published
Apr 15, 2025
Base Model
Flux.1 D
Trigger Words
qpq city
Training Images
Download
Hash
AutoV2
47AAFB7AE3
The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

part of the collection:

Image Model Prompt Analysis Report

Overview

This report analyzes a collection of prompts used to train a generative image model. The dataset consists primarily of detailed image descriptions that appear to focus on two main categories:

  1. Floating sky cities/islands with futuristic or fantasy elements

  2. Industrial/mechanical city environments

Common Trigger Words and Their Associations

Primary Trigger Words

  1. "qpq": This appears to be a specific trigger word associated with floating cities and sky islands. Every prompt containing "qpq" describes some variation of a floating city or island suspended in the sky.

  2. "anime": Present in all prompts, indicating the stylistic approach for the generated images - an anime/manga art style.

Secondary Trigger Phrases

  1. "floating in the sky": Consistently paired with "qpq" to generate floating cities, islands, or structures.

  2. "surrounded by blue sky, above white clouds": A standard phrase in the floating city prompts that establishes the environmental setting.

  3. "in the background machine city": Trigger phrase for industrial, mechanical, or futuristic city environments with complex machinery.

Descriptive Elements and Their Associations

For Floating Cities ("qpq" prompts):
  • "otherworldly": Appears in nearly every floating city description, often paired with descriptors like "serene," "beautiful," or "atmosphere"

  • "lush greenery": Common element in floating cities, suggesting integration of nature with technology

  • "futuristic cityscape": Frequently used to describe the architectural style

  • "circular": Common architectural element in these floating structures

  • "platforms": Structural component frequently mentioned for floating cities

  • "atmosphere": Term used to describe the overall mood, often paired with "otherworldly"

For Machine Cities:
  • "futuristic industrial setting": Standard opening description

  • "towering structures": Describes vertical architectural elements

  • "intricate machinery": Emphasizes detail and complexity

  • "metallic": Common material descriptor

  • "color palette": Often specifically mentioning purple, red, orange, and blue tones

  • "platforms and walkways": Common structural elements

Prompt Structure Analysis

The prompts follow consistent structural patterns:

Pattern 1: Floating City Prompts

anime qpq city floating in the sky, surrounded by blue sky, above white clouds. [Detailed description of a floating city/island with specific architectural details, environmental elements, lighting, and mood]

Pattern 2: Machine City Prompts

anime in the background machine city. [Detailed description of an industrial/mechanical setting with specific structural elements, color palettes, lighting, and atmosphere]

Visual Elements Spectrum

The analyzed prompts reveal a spectrum of visual elements that the model has been trained to generate:

Architectural Elements:

  • Circular platforms

  • Multi-tiered structures

  • Towers and spires

  • Bridges and walkways

  • Cylindrical buildings

  • Castle-like structures

  • Pagodas and traditional East Asian architecture

  • Industrial pipes and machinery

  • Staircases and platforms

  • Metallic surfaces

Environmental Elements:

  • Clouds (white, fluffy)

  • Clear blue skies

  • Reflective water surfaces

  • Lush greenery and vegetation

  • Trees integrated with structures

  • Stars and cosmic elements

  • Various lighting conditions (day/night)

Color Palettes:

  • Floating cities: Blues, whites, greens, with pastel accents

  • Machine cities: Purples, reds, oranges, and metallic tones

Mood/Atmosphere Descriptors:

  • "Serene"

  • "Otherworldly"

  • "Vibrant"

  • "Dreamlike"

  • "Surreal"

  • "Majestic"

  • "Complex"

  • "Advanced"

  • "Ethereal"

  • "Futuristic"

Capability Map

Based on the analysis, this image model appears capable of generating:

  1. Fantasy Environments

    • Floating islands with castle-like structures

    • Whimsical villages suspended in clouds

    • Nature-rich floating landmasses

  2. Futuristic Environments

    • Advanced floating cities with technological elements

    • Space station-like structures

    • Industrial mechanical complexes

  3. Architectural Styles

    • East Asian-inspired fantasy architecture

    • Futuristic sci-fi structures

    • Cyberpunk/steampunk industrial settings

    • Organic-technological hybrid designs

  4. Atmospheric Conditions

    • Daytime cloudy skies

    • Starry night environments

    • Sunset/twilight settings

  5. Integration of Nature and Technology

    • Gardens and greenery embedded in futuristic structures

    • Trees and plants growing on floating islands

    • Natural elements contrasted with mechanical components

Pattern Recognition and Prompt Engineering Insights

  1. Trigger Specificity: The "qpq" trigger is extremely specific in generating floating city imagery, while "machine city" consistently produces industrial environments.

  2. Descriptor Impact: Terms like "otherworldly," "serene," and "complex" are consistently used to establish mood and appear to be effective emotional/atmospheric cues for the model.

  3. Structural Repetition: Many prompts follow nearly identical opening structures but achieve varied outputs through the detailed descriptions that follow.

  4. Redundant Adjectives: Many descriptions contain repeating or near-synonym adjectives ("otherworldly atmosphere ambiance"), suggesting the model may benefit from redundancy in emphasis.

  5. Detailed Specificity: Prompts with the most detailed architectural and environmental specifications seem designed to produce the most controllable outputs.

Conclusion

This analysis reveals a generative image model with capabilities focused primarily on creating anime-style floating cities/islands and industrial mechanical environments. The prompt collection demonstrates a systematic approach to training with clearly defined trigger words ("qpq" and "machine city") that activate specific visual themes.

The model appears to have strong capabilities in generating:

  • Fantasy and sci-fi environments with specific architectural elements

  • Integration of natural and technological elements

  • Varied atmospheric conditions and moods

  • Complex structural details, particularly in mechanical/industrial settings

The consistent structure and repetitive nature of the prompts suggest this is a carefully curated training set designed to establish reliable trigger words that produce consistent thematic outputs while allowing for variation in specific details.