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Fix ignored seed and sigma shift during sampling #73

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Fix ignored seed and sigma shift during sampling #73

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20 changes: 10 additions & 10 deletions mova/diffusion/pipelines/pipeline_mova.py
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Original file line number Diff line number Diff line change
Expand Up @@ -348,17 +348,17 @@ def __call__(
cfg_merge = False
audio_num_samples = int(self.audio_sample_rate * num_frames / video_fps)

# self.scheduler.set_timesteps(num_inference_steps, denoising_strength=denoising_strength, shift=sigma_shift)
# self.scheduler.set_pair_postprocess_by_name(
# "dual_sigma_shift",
# visual_shift=visual_shift,
# audio_shift=audio_shift,
# )

device = self._execution_device
# Generate on CPU first so seeded noise is reproducible across execution devices.
generator = None if seed is None else torch.Generator(device="cpu").manual_seed(int(seed))

# 4. Prepare timesteps
self.scheduler.set_timesteps(num_inference_steps, device=device)
self.scheduler.set_timesteps(
num_inference_steps,
denoising_strength=denoising_strength,
shift=sigma_shift,
device=device,
)
scheduler_support_audio = hasattr(self.scheduler, "get_pairs")
if scheduler_support_audio:
audio_scheduler = self.scheduler
Expand All @@ -379,7 +379,7 @@ def __call__(
num_frames,
torch.float32,
device,
generator=None,
generator=generator,
latents=None,
last_image=None,
)
Expand All @@ -390,7 +390,7 @@ def __call__(
audio_num_samples,
torch.float32,
device,
generator=None,
generator=generator,
latents=None,
)

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