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fix

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Saifeddine ALOUI 2025-03-27 12:34:32 +01:00
parent 03f4aee970
commit 5d9afbca17
1 changed files with 12 additions and 7 deletions
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19
lollms/ttv.py
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@ -48,20 +48,25 @@ class LollmsTTV(LollmsSERVICE):
steps: int = 20,
seed: int = -1,
nb_frames: int = None,
output_folder:str | Path =None,
output_file_name=None
fps: int = 8,
output_folder: str | Path = None,
output_file_name = None
) -> str:
"""
Generates a video from a single text prompt.
Args:
prompt (str): The text prompt describing the video.
negative_prompt (str): Text describing elements to avoid in the video.
num_frames (int): Number of frames in the video. Default is 49.
negative_prompt (Optional[str]): Text describing elements to avoid in the video. Default is None.
model_name (str): Name of the model to use. Default is empty string.
height (int): Height of the video in pixels. Default is 512.
width (int): Width of the video in pixels. Default is 512.
steps (int): Number of inference steps. Default is 20.
seed (int): Random seed for reproducibility. Default is -1.
nb_frames (int): Number of frames in the video. Default is None.
fps (int): Frames per second. Default is 8.
num_inference_steps (int): Number of steps for the model to infer. Default is 50.
guidance_scale (float): Controls how closely the model adheres to the prompt. Default is 6.0.
seed (Optional[int]): Random seed for reproducibility. Default is None.
output_folder (str | Path): Directory to save the video. Default is None.
output_file_name: Name of the output file. Default is None.
Returns:
str: The path to the generated video.