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("alexhalfborg/fal-selfie-lora-alex2")
prompt = "alex2"
image = pipe(prompt).images[0]fal selfie lora alex2
Model description
Trigger words
You should use alex2 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.
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Model tree for alexhalfborg/fal-selfie-lora-alex2
Base model
black-forest-labs/FLUX.1-dev