fastvideo.configs.sample.base

Contents

`fastvideo.configs.sample.base`#

Module Contents#

Classes#

`CacheParams`
`SamplingParam`	Sampling parameters for video generation.

Data#

API#

class fastvideo.configs.sample.base.CacheParams[source]#

cache_type: str#: ‘none’

class fastvideo.configs.sample.base.SamplingParam[source]#

Sampling parameters for video generation.

static add_cli_args(parser: Any) → Any[source]#: Add CLI arguments for SamplingParam fields

check_sampling_param()[source]#

data_type: str[source]#: ‘video’

enable_teacache: bool[source]#: False

fps: int[source]#: 24

classmethod from_pretrained(model_path: str) → fastvideo.configs.sample.base.SamplingParam[source]#

guidance_rescale: float[source]#: 0.0

guidance_scale: float[source]#: 1.0

height: int[source]#: 720

image_path: str | None[source]#: None

negative_prompt: str[source]#: ‘Bright tones, overexposed, static, blurred details, subtitles, style, works, paintings, images, stat…’

num_frames: int[source]#: 125

num_frames_round_down: bool[source]#: False

num_inference_steps: int[source]#: 50

num_videos_per_prompt: int[source]#: 1

output_path: str[source]#: ‘outputs/’

output_video_name: str | None[source]#: None

prompt: str | list[str] | None[source]#: None

prompt_path: str | None[source]#: None

return_frames: bool[source]#: False

save_video: bool[source]#: True

seed: int[source]#: 1024

update(source_dict: dict[str, Any]) → None[source]#

width: int[source]#: 1280

fastvideo.configs.sample.base.logger[source]#: ‘init_logger(…)’