import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Jonjew/FirstOrderStormtrooperStarWars")
prompt = "foarmy, solo, first order stormtrooper engaging in combat, shooting red laser"
image = pipe(prompt).images[0]First Order Stormtrooper Star Wars
- Prompt
- foarmy, solo, first order stormtrooper engaging in combat, shooting red laser
Model description
FROM https://civitai.com/models/1378412/first-order-stormtrooper-star-wars?modelVersionId=1557459
LoRA trained with images of:
Stormtroopers
Stormtroopers squad leaders/lieutenants
Heavy assault troopers
Snowtroopers
Flametroopers
Sith troopers
Officers
Riot control troopers
Executioners
Pilots
Treadspeader bike Drivers
Jet troopers
But so far it generates lore-accurate only the default stormtroopers, if you try snow/flame etc., it will start mixing armor parts. Maybe you'll have better luck😅
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Jonjew/FirstOrderStormtrooperStarWars
Base model
black-forest-labs/FLUX.1-dev