Apply suggestions from code review

Co-authored-by: Aryan <[email protected]>

Author: yiyixuxu

src/diffusers/pipelines/ltx/pipeline_ltx_condition.py

@@ -584,8 +584,6 @@ def add_noise_to_image_conditioning_latents(
         Add timestep-dependent noise to the hard-conditioning latents. This helps with motion continuity, especially
         when conditioned on a single frame.
         """
-        # YiYi TODO: testing only, remove this change before merging
-        # generator = torch.Generator(device="cpu").manual_seed(0)
         noise = randn_tensor(
             latents.shape,
             generator=generator,
@@ -619,8 +617,6 @@ def prepare_latents(
 
         shape = (batch_size, num_channels_latents, num_latent_frames, latent_height, latent_width)
         latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
-        # YiYi TODO: testing only, remove this change before merging
-        # latents = torch.load("/raid/yiyi/LTX-Video/init_latents.pt").to(device, dtype=dtype)
 
         condition_latent_frames_mask = torch.zeros((batch_size, num_latent_frames), device=device, dtype=torch.float32)
 
@@ -662,8 +658,6 @@ def prepare_latents(
                         condition_latents = condition_latents[:, :, :num_prefix_latent_frames]
 
                 noise = randn_tensor(condition_latents.shape, generator=generator, device=device, dtype=dtype)
-                # YiYi TODO: testing only, remove this change before merging
-                # noise = torch.load("/raid/yiyi/LTX-Video/noise.pt").to(device, dtype=dtype)
                 condition_latents = torch.lerp(noise, condition_latents, strength)
 
                 condition_video_ids = self._prepare_video_ids(