diff --git a/tests/foundationals/latent_diffusion/test_solvers.py b/tests/foundationals/latent_diffusion/test_solvers.py
index f7c8c4d..be5167d 100644
--- a/tests/foundationals/latent_diffusion/test_solvers.py
+++ b/tests/foundationals/latent_diffusion/test_solvers.py
@@ -5,7 +5,7 @@ import pytest
 from torch import Tensor, allclose, device as Device, equal, isclose, randn
 
 from refiners.fluxion import manual_seed
-from refiners.foundationals.latent_diffusion.solvers import DDIM, DDPM, DPMSolver, Euler
+from refiners.foundationals.latent_diffusion.solvers import DDIM, DDPM, DPMSolver, Euler, NoiseSchedule
 
 
 def test_ddpm_diffusers():
@@ -135,3 +135,11 @@ def test_scheduler_device(test_device: Device):
     noise = randn(1, 4, 32, 32, device=test_device)
     noised = scheduler.add_noise(x, noise, scheduler.first_inference_step)
     assert noised.device == test_device
+
+
+@pytest.mark.parametrize("noise_schedule", [NoiseSchedule.UNIFORM, NoiseSchedule.QUADRATIC, NoiseSchedule.KARRAS])
+def test_scheduler_noise_schedules(noise_schedule: NoiseSchedule, test_device: Device):
+    scheduler = DDIM(num_inference_steps=30, device=test_device, noise_schedule=noise_schedule)
+    assert len(scheduler.scale_factors) == 1000
+    assert scheduler.scale_factors[0] == 1 - scheduler.initial_diffusion_rate
+    assert scheduler.scale_factors[-1] == 1 - scheduler.final_diffusion_rate