import matplotlib.pyplot as plt
import opensr_test
import benchmark

from ldm_baseline.utils import create_stable_diffusion_model, run_diffuser

# set the device
device = "cuda:0"

# Load the model
model = create_stable_diffusion_model(device=device)

# Load the dataset
dataset = opensr_test.load("naip", force=False)
lr_dataset, hr_dataset = dataset["L2A"], dataset["HRharm"]

# Run the model
index = 5
results = run_diffuser(
    model=model,
    lr=lr_dataset[index],
    hr=hr_dataset[index],
    device=device
)

# Display the results
fig, ax = plt.subplots(1, 3, figsize=(10, 5))
ax[0].imshow(results["lr"].transpose(1, 2, 0) / 3000)
ax[0].set_title("LR")
ax[0].axis("off")
ax[1].imshow(results["sr"].transpose(1, 2, 0) / 3000)
ax[1].set_title("SR")
ax[1].axis("off")
ax[2].imshow(results["hr"].transpose(1, 2, 0) / 3000)
ax[2].set_title("HR")
plt.show()

# Run the experiment
# benchmark.create_geotiff(model, run_diffuser, "all", "ldm_baseline/")
# benchmark.run(["naip"])
# benchmark.plot(["naip"])