sercancelenk/ai-girlfriend-anna-lora

from diffusers import FluxPipeline
import torch

# Load base model
pipe = FluxPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-dev",
    torch_dtype=torch.bfloat16
)
pipe.enable_model_cpu_offload()

# Load Anna LoRA
pipe.load_lora_weights(
    "sercancelenk/ai-girlfriend-anna-lora",
    weight_name="pytorch_lora_weights.safetensors",
    adapter_name="anna_lora"
)
pipe.set_adapters(["anna_lora"], adapter_weights=[0.7])

# Generate with trigger token
prompt = "ohwx_anna, beautiful woman smiling at camera, professional photo, 8k"
image = pipe(prompt, num_inference_steps=20).images[0]
image.save("anna.png")