# Install the necessary conversion tools
pip install optimum[exporters] diffusers

# Export the model
optimum-cli export onnx --model stabilityai/stable-diffusion-2-1 output_onnx_folder/

from diffusers import StableDiffusionPipeline
import torch

# 1. Load base + LoRA
pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
pipe.load_lora_weights("path/to/lora.safetensors")

# 2. Fuse the weights into the model
pipe.fuse_lora()

# 3. Save the fused model
pipe.save_pretrained("./fused_model")

# Now run the optimum-cli export on "./fused_model"

import { pipeline } from '@huggingface/transformers';

// Load the model from your HF repo
const generator = await pipeline('text-to-image', 'your-username/your-model-repo', {
    device: 'webgpu', // This is the magic line
});

// Generate an image
const output = await generator('a futuristic city in the style of cyberpunk');