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("kingbl/milibl01-lora")
prompt = "milibl01"
image = pipe(prompt).images[0]milibl01 lora
Model description
mi lora personal
Trigger words
You should use milibl01 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 kingbl/milibl01-lora
Base model
black-forest-labs/FLUX.1-dev