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("ChandrilBasu/Jstyle")
prompt = "<lora:4si4n-step00000800:0.8> 4si4n, depicts an scene of gigachad man as a samurai, poster from the series Fifty-Three Stations of the Tokaido by Utagawa Kunisada Toyokuni III/Kunisada III. gigachad man <lora:gigachad:1>"
image = pipe(prompt).images[0]Jstyle
- Prompt
- <lora:4si4n-step00000800:0.8> 4si4n, depicts an scene of gigachad man as a samurai, poster from the series Fifty-Three Stations of the Tokaido by Utagawa Kunisada Toyokuni III/Kunisada III. gigachad man <lora:gigachad:1>
Trigger words
You should use 4si4n to trigger the image generation.
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Base model
black-forest-labs/FLUX.1-dev