A LoRA trained on 165K high-resolution aircraft images and their structured captions, fine-tuning FLUX.1 [schnell] for enhanced aircraft image generation. This adaptation specializes in:

- Accurate generation of commercial aircraft with correct proportions and details

- Precise rendering of specific aircraft models (Boeing, Airbus, etc.)

- Realistic airline liveries and sometimes registration markings

Best used for generating photorealistic aircraft imagery from detailed prompts. Maintains FLUX.1's general image generation capabilities while significantly improving aviation-specific output quality and accuracy.

Training data: 165K aircraft images with structured captions

Recommended prompts: Follow caption format:

[year] [airline] [manufacturer] [type], registration [number], [state] [surrounding objects]

Example: 2023 Lufthansa Airbus A321-271NX, registration D-AIEQ, taking off against a clear sky