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kandinsky5

Classes

fastvideo.configs.pipelines.kandinsky5.Kandinsky5I2VConfig dataclass

Kandinsky5I2VConfig(model_path: str = '', pipeline_config_path: str | None = None, embedded_cfg_scale: float = 6.0, flow_shift: float | None = 5.0, flow_shift_sr: float | None = None, disable_autocast: bool = False, scheduler_step_in_fp32: bool = False, is_causal: bool = False, dit_config: DiTConfig = Kandinsky5VideoConfig(), dit_precision: str = 'bf16', upsampler_config: UpsamplerConfig = UpsamplerConfig(), upsampler_precision: str = 'fp32', vae_config: VAEConfig = HunyuanVAEConfig(), vae_precision: str = 'bf16', vae_decode_precision: str | None = None, vae_tiling: bool = True, vae_sp: bool = True, image_encoder_config: EncoderConfig = EncoderConfig(), image_encoder_precision: str = 'fp32', text_encoder_configs: tuple[EncoderConfig, ...] = (lambda: (Reason1Config(), CLIPTextConfig()))(), text_encoder_precisions: tuple[str, ...] = (lambda: ('bf16', 'bf16'))(), preprocess_text_funcs: tuple[Callable[[str], Any], ...] = (lambda: (kandinsky5_qwen_preprocess_text, preprocess_text))(), postprocess_text_funcs: tuple[Callable[..., Any], ...] = (lambda: (kandinsky5_qwen_postprocess_text, kandinsky5_clip_postprocess_text))(), dmd_denoising_steps: list[int] | None = None, ti2v_task: bool = False, lucy_edit_task: bool = False, boundary_ratio: float | None = None, text_encoder_max_lengths: tuple[int, ...] = (lambda: (KANDINSKY5_PROMPT_TEMPLATE_ENCODE_START_IDX + 512, 77))())

Bases: Kandinsky5T2VConfig

Kandinsky-5.0 image-to-video pipeline configuration.

fastvideo.configs.pipelines.kandinsky5.Kandinsky5T2VConfig dataclass

Kandinsky5T2VConfig(model_path: str = '', pipeline_config_path: str | None = None, embedded_cfg_scale: float = 6.0, flow_shift: float | None = 5.0, flow_shift_sr: float | None = None, disable_autocast: bool = False, scheduler_step_in_fp32: bool = False, is_causal: bool = False, dit_config: DiTConfig = Kandinsky5VideoConfig(), dit_precision: str = 'bf16', upsampler_config: UpsamplerConfig = UpsamplerConfig(), upsampler_precision: str = 'fp32', vae_config: VAEConfig = HunyuanVAEConfig(), vae_precision: str = 'bf16', vae_decode_precision: str | None = None, vae_tiling: bool = True, vae_sp: bool = True, image_encoder_config: EncoderConfig = EncoderConfig(), image_encoder_precision: str = 'fp32', text_encoder_configs: tuple[EncoderConfig, ...] = (lambda: (Reason1Config(), CLIPTextConfig()))(), text_encoder_precisions: tuple[str, ...] = (lambda: ('bf16', 'bf16'))(), preprocess_text_funcs: tuple[Callable[[str], Any], ...] = (lambda: (kandinsky5_qwen_preprocess_text, preprocess_text))(), postprocess_text_funcs: tuple[Callable[..., Any], ...] = (lambda: (kandinsky5_qwen_postprocess_text, kandinsky5_clip_postprocess_text))(), dmd_denoising_steps: list[int] | None = None, ti2v_task: bool = False, lucy_edit_task: bool = False, boundary_ratio: float | None = None, text_encoder_max_lengths: tuple[int, ...] = (lambda: (KANDINSKY5_PROMPT_TEMPLATE_ENCODE_START_IDX + 512, 77))())

Bases: PipelineConfig

Kandinsky-5.0 Lite text-to-video pipeline configuration.