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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- text-to-image |
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- lora |
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- aircraft |
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- aviation |
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datasets: |
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- nyuuzyou/aircraft-images |
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base_model: |
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- black-forest-labs/FLUX.1-schnell |
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library_name: diffusers |
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pipeline_tag: text-to-image |
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widget: |
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- text: 2015 American Airlines Airbus A320-214, registration EC-LVC, landing against a clear blue sky |
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output: |
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url: samples/1.jpg |
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- text: 2022 Lufthansa Airbus A321-271NX, registration D-AIEQ, is airborne over a forested area |
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output: |
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url: samples/2.jpg |
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- text: 2018 Azimuth Airlines Sukhoi Superjet 100-95LR, registration RA-89094, taxiing on the runway near some greenery and airport infrastructure |
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output: |
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url: samples/3.jpg |
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- text: 2008 Lufthansa Regional Bombardier CRJ-900LR (CL-600-2D24), registration D-ACKA, airborne against a clear blue sky |
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output: |
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url: samples/4.jpg |
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- text: 2017 Air India Boeing 787-8 Dreamliner, registration VT-ANW, airborne against a cloudy sky |
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output: |
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url: samples/5.jpg |
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--- |
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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: |
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- Accurate generation of commercial aircraft with correct proportions and details |
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- Precise rendering of specific aircraft models (Boeing, Airbus, etc.) |
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- Realistic airline liveries and sometimes registration markings |
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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. |
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Training data: [165K aircraft images with structured captions](https://huggingface.co/datasets/nyuuzyou/aircraft-images) |
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Recommended prompt: Follow caption format: |
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`[year] [airline] [manufacturer] [type], registration [number], [state] [surrounding objects]` |
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Example: 2023 Lufthansa Airbus A321-271NX, registration D-AIEQ, taking off against a clear sky |
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