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("punzel/flux_madison_beer")
prompt = "-"
image = pipe(prompt).images[0]Madison Beer
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Model description
This LoRA was trained on 25 images of Madison Beer using SimpleTuner for 1600 steps.
A trigger word is not required
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Weights for this model are available in Safetensors format.
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Model tree for punzel/flux_madison_beer
Base model
black-forest-labs/FLUX.1-dev