cleanup: remove print

src/tiny_ddpm/sample.py

@@ -123,7 +123,6 @@ def ddim_sample_images(
         t = torch.full((batch_size,), timesteps[i], device=device, dtype=torch.long)
         x_before = x.clone()
         x = ddim_sample(model, x, t, params)
-        print(f"Step {i}, max diff: {(x - x_before).abs().max().item()}")
 
         if x.isnan().any():
             raise ValueError(f"NaN detected at timestep {timesteps[i]}")