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("Keltezaa/Reverse_piledriver_flux")
prompt = "Reverse piledriver"
image = pipe(prompt).images[0]Reversepiledriverflux
Model description
Reverse piledriver
Trigger words
You should use Reverse piledriver to trigger the image generation.
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Base model
black-forest-labs/FLUX.1-dev