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Fix LTX2 dynamic timestep shift ignoring the sequence length #14244

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Fix LTX2 dynamic timestep shift ignoring the sequence length #14244

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4 changes: 2 additions & 2 deletions src/diffusers/pipelines/ltx2/pipeline_ltx2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1108,7 +1108,7 @@ def __call__(
raise ValueError(
f"Provided `latents` tensor has shape {latents.shape}, but the expected shape is either [batch_size, seq_len, num_features] or [batch_size, latent_dim, latent_frames, latent_height, latent_width]."
)
# video_sequence_length = latent_num_frames * latent_height * latent_width
video_sequence_length = latent_num_frames * latent_height * latent_width

num_channels_latents = self.transformer.config.in_channels
latents = self.prepare_latents(
Expand Down Expand Up @@ -1165,7 +1165,7 @@ def __call__(
# 5. Prepare timesteps
sigmas = np.linspace(1.0, 1 / num_inference_steps, num_inference_steps) if sigmas is None else sigmas
mu = calculate_shift(
self.scheduler.config.get("max_image_seq_len", 4096),
video_sequence_length,
self.scheduler.config.get("base_image_seq_len", 1024),
self.scheduler.config.get("max_image_seq_len", 4096),
self.scheduler.config.get("base_shift", 0.95),
Expand Down
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