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General Aviation LoRA

26

215

44

5

Verified:

SafeTensor

Type

LoRA

Stats

75

40

14

Reviews

Published

Jun 1, 2025

Base Model

Illustrious

Trigger Words

Bleriot_XI
Douglas_DC-3
B_17_Flying_Fortress
Hawker_Hurricane
Supermarine_Spitfire
P-47_Thunderbolt
P-51_Mustang
Il-2_Sturmovik
Lavochkin_La-5
Yakovlev_Yak-9
+12 more

Hash

AutoV2
E2FBBCC2F5
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nekot

Mini list aircraft sdxlV1

This is a version for SDXL, it knows quite a lot of aircraft, and to get a result it's enough to specify the trigger word. It produces a somewhat noisy output — I probably overdid it with the learning rate.

Additionally, you can also include words like dogfight, bomb, aircraft, 2aircraft, many_aircraft.



Aviation LoRA Flux D V0.5

This experimental LoRA can generate images of several aircraft types. It was trained on my personal datasets, combined into one large model. After tests, I realise the datasets will need to be rebuilt for a full-scale LoRA, so consider this release strictly experimental.

Use at your own risk: my single-aircraft LoRAs still produce more reliable results.

Supported aircraft (trigger words) and estimated accuracy

Wright_Flyer - low accuracy, ≈ 1 in 8 generations successful

vickers_vimy aircraft - low accuracy, ≈ 1 in 8 generations successful

Fokker_Dr.I aircraft - acceptable quality

Douglas_DC-3 - acceptable quality

B_17 bomber - medium accuracy, about half of the images look correct

P-47_Thunderbolt - acceptable quality

Messerschmitt_Me_262 - low accuracy, ≈ 1 in 12 generations successful

F-86_Sabre - medium accuracy, about 50 % correct

MIG_15 - medium accuracy, about 50 % correct

F-4_Phantom_II - acceptable quality

Boeing_707 - medium accuracy, about 50 % correct

Concorde - acceptable quality

F-117 - low accuracy, ≈ 1 in 12 generations successful

SR-71_Blackbird - low accuracy, ≈ 1 in 12 generations successful