import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("youngho79/kklee")
prompt = "kklee"
image = pipe(prompt).images[0]kklee
Model description
FLUX-Kontext Personalization LoRA for “kklee” (Lee’s face) trained 2000 steps @ lr=1e-4
Trigger words
You should use kklee 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-kontext-trainer.
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