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Fix Latte Pipeline support #288

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merged 1 commit into from
Sep 25, 2024
Merged

Fix Latte Pipeline support #288

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2 changes: 1 addition & 1 deletion examples/latte_example.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ def main():
output = pipe(
height=input_config.height,
width=input_config.width,
num_frames=16,
video_length=16,
prompt=input_config.prompt,
num_inference_steps=input_config.num_inference_steps,
output_type="pt",
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5 changes: 3 additions & 2 deletions xfuser/model_executor/pipelines/pipeline_latte.py
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Original file line number Diff line number Diff line change
Expand Up @@ -68,7 +68,7 @@ def __call__(
timesteps: Optional[List[int]] = None,
guidance_scale: float = 7.5,
num_images_per_prompt: int = 1,
num_frames: int = 16,
video_length: int = 16,
height: int = 512,
width: int = 512,
eta: float = 0.0,
Expand Down Expand Up @@ -116,7 +116,7 @@ def __call__(
Paper](https://arxiv.org/pdf/2205.11487.pdf). Guidance scale is enabled by setting `guidance_scale >
1`. Higher guidance scale encourages to generate videos that are closely linked to the text `prompt`,
usually at the expense of lower video quality.
num_frames (`int`, *optional*, defaults to 16):
video_length (`int`, *optional*, defaults to 16):
The number of video frames that are generated. Defaults to 16 frames which at 8 frames per seconds
num_images_per_prompt (`int`, *optional*, defaults to 1):
The number of videos to generate per prompt.
Expand Down Expand Up @@ -172,6 +172,7 @@ def __call__(
callback_on_step_end_tensor_inputs = callback_on_step_end.tensor_inputs

# 0. Default
num_frames = video_length
decode_chunk_size = (
decode_chunk_size if decode_chunk_size is not None else num_frames
)
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