diff --git a/invokeai/app/invocations/flux_denoise.py b/invokeai/app/invocations/flux_denoise.py
index 77e02fbcd3..27ead5ea2c 100644
--- a/invokeai/app/invocations/flux_denoise.py
+++ b/invokeai/app/invocations/flux_denoise.py
@@ -143,7 +143,9 @@ class FluxDenoiseInvocation(BaseInvocation, WithMetadata, WithBoard):
         )
 
         # Clip the timesteps schedule based on denoising_start and denoising_end.
-        timesteps = clip_timestep_schedule(timesteps, self.denoising_start, self.denoising_end)
+        # HACK(ryand): This should be applied in the frontend.
+        denoising_start = 1.0 - (1.0 - self.denoising_start) ** 0.2
+        timesteps = clip_timestep_schedule(timesteps, denoising_start, self.denoising_end)
 
         # Prepare input latent image.
         if init_latents is not None:
@@ -193,7 +195,8 @@ class FluxDenoiseInvocation(BaseInvocation, WithMetadata, WithBoard):
             traj_guidance_extension = TrajectoryGuidanceExtension(
                 init_latents=init_latents,
                 inpaint_mask=inpaint_mask,
-                trajectory_guidance_strength=self.trajectory_guidance_strength,
+                # HACK(ryand): This should not be hardcoded.
+                trajectory_guidance_strength=0,
             )
 
         with (
diff --git a/invokeai/backend/flux/sampling_utils.py b/invokeai/backend/flux/sampling_utils.py
index 92c78de01e..8972291101 100644
--- a/invokeai/backend/flux/sampling_utils.py
+++ b/invokeai/backend/flux/sampling_utils.py
@@ -92,7 +92,9 @@ def clip_timestep_schedule(timesteps: list[float], denoising_start: float, denoi
     t_start_idx = _find_last_index_ge_val(timesteps, t_start_val)
     t_end_idx = _find_last_index_ge_val(timesteps, t_end_val)
 
-    clipped_timesteps = timesteps[t_start_idx : t_end_idx + 1]
+    # TODO(ryand): Make fractional cutoffs optional and apply to both the start and end.
+    clipped_timesteps = timesteps[t_start_idx + 1 : t_end_idx + 1]
+    clipped_timesteps = [t_start_val] + clipped_timesteps
 
     return clipped_timesteps