Functions — github.com/blepping/ComfyUI-bleh

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Functions398 in github.com/blepping/ComfyUI-bleh

⨍ Functions 398◇ Types & classes 121

↓ 1 callersMethoddecoded_to_animation

( self, samples: np.ndarray, video_frames: int, )

py/better_previews/previewer.py:539

↓ 1 callersMethodencode

(self, *args: list, **kwargs: dict)

py/better_previews/tae_vid.py:410

↓ 1 callersMethodensure_x0_shape

(self, x0: torch.Tensor)

py/better_previews/previewer.py:649

↓ 1 callersFunctionexpand_yh_scales

( yh: Sequence, *, yh_scales: float | Sequence = 1.0, )

py/wavelet_functions.py:157

↓ 1 callersFunctionforce_gaussian_distribution

( t: torch.Tensor, *, start_dim: int = 1, end_dim: int = -1, # Invert the argsorts, option

py/latent_utils.py:123

↓ 1 callersFunctiongaussian_smoothing

( t: torch.Tensor, kernel_size, sigma: float | tuple | list, )

py/latent_utils.py:456

↓ 1 callersMethodget_boundaries

(self, cond1: list, cond2: list)

py/nodes/misc.py:638

↓ 1 callersMethodget_dict_key

(self, k: dict)

py/latent_utils.py:2932

↓ 1 callersFunctionget_noise_sampler

(noise_type, x, *_args: list, **_kwargs: dict)

py/nodes/ops.py:21

↓ 1 callersMethodget_patches

(self, model_options)

py/nodes/modelPatchConditional.py:69

↓ 1 callersMethodget_slices

Generates N-dimensional slice objects for both source and target.

py/nodes/misc.py:738

↓ 1 callersMethodget_target

(self, a_flat: torch.Tensor, b_flat: torch.Tensor)

py/latent_utils.py:1516

↓ 1 callersMethodget_wavelet

(self, *, device: str | torch.device | None = None)

py/latent_utils.py:1320

↓ 1 callersMethodhandle_block

(self, i: int, xt: torch.Tensor, b: nn.Module)

py/better_previews/tae_vid.py:200

↓ 1 callersFunctionhidden_mean

(h)

py/nodes/ops.py:300

↓ 1 callersFunctionhslerp_alt

(a, b, t)

py/latent_utils.py:298

↓ 1 callersMethodinit_fallback_previewer

( self, device: torch.device | str, dtype: torch.dtype, )

py/better_previews/previewer.py:597

↓ 1 callersMethodinverse

( self, yl: torch.Tensor, yh: tuple[torch.Tensor, ...], *, inverse_fun

py/wavelet_functions.py:95

↓ 1 callersMethodlazy_calc_steps

(self)

py/nodes/modelPatchConditional.py:201

↓ 1 callersFunctionmake_filter

(channels, dtype, size=3)

py/latent_utils.py:3602

↓ 1 callersFunctionmatch_distribution

( source: torch.Tensor, *, reference: torch.Tensor, start_dim: int = 1, end_dim: int = -1,

py/latent_utils.py:155

↓ 1 callersFunctionmatrix_log

( m: torch.Tensor, *, eps: float = 1e-06, ieps: complex = 1e-08j, dtype: torch.dtype | Non

py/latent_utils.py:1720

↓ 1 callersMethodmaybe_pop_upscale_layers

(self, *, width=None, height=None)

py/better_previews/previewer.py:345

↓ 1 callersMethodmaybe_refresh_previewer

( self, *, device=None, dtype=None, width=None, height=None,

py/better_previews/previewer.py:298

↓ 1 callersFunctionnormalize_to_scale

(latent, target_min, target_max, *, dim=(-3, -2, -1))

py/better_previews/previewer.py:84

↓ 1 callersMethodop

(self, t, _state)

py/nodes/ops.py:644

↓ 1 callersFunctionortho_projection

( a: torch.Tensor, b: torch.Tensor, *, dim: Sequence[int] | None = None, keepdim: bool = T

py/latent_utils.py:255

↓ 1 callersMethodoutput

(a: torch.Tensor, b: torch.Tensor, b_t: torch.Tensor)

py/latent_utils.py:501

↓ 1 callersMethodparse_arg

(self, s: str, idx: int)

py/latent_utils.py:3008

↓ 1 callersMethodparse_value

(self, k: str, v: str)

py/latent_utils.py:2971

↓ 1 callersMethodpatch

(self)

py/nodes/modelPatchConditional.py:246

↓ 1 callersMethodpatch

(self)

py/nodes/hyperTile.py:41

↓ 1 callersMethodpatch_tgrow_layers

(self, sd: dict)

py/better_previews/tae_vid.py:342

↓ 1 callersMethodreset

(self, x: torch.Tensor)

py/better_previews/tae_vid.py:129

↓ 1 callersFunctionsageattn_context

( enabled: bool, **kwargs: dict, )

py/nodes/sageAttention.py:260

↓ 1 callersMethodsave

(self, fp, format: str | None, **kwargs: Any)

py/better_previews/previewer.py:123

↓ 1 callersMethodshould_use_patched

(self, state, opts)

py/nodes/modelPatchConditional.py:218

↓ 1 callersFunctionslerp_orig

(b1, b2, r)

py/latent_utils.py:332

↓ 1 callersMethodtry_extended

(self, k: str, default=None)

py/latent_utils.py:3024

↓ 1 callersMethodtry_update_from_json

(self, filename)

py/settings.py:59

↓ 1 callersMethodtry_update_from_yaml

(self, filename)

py/settings.py:69

↓ 1 callersMethodwavelet_blend

( self, a: torch.Tensor, b: torch.Tensor, t: float | torch.Tensor, *,

py/latent_utils.py:1352

py/nodes/misc.py:1143

MethodINPUT_TYPES

(cls)

py/nodes/samplers.py:46

MethodINPUT_TYPES

(cls)

py/nodes/samplers.py:128

MethodINPUT_TYPES

(cls)

py/nodes/samplers.py:257

MethodINPUT_TYPES

(cls)

py/nodes/samplers.py:339

MethodINPUT_TYPES

(cls)

py/nodes/modelPatchConditional.py:283

py/nodes/hyperTile.py:153

MethodINPUT_TYPES

(cls)

py/nodes/taevid.py:28

MethodINPUT_TYPES

(cls)

py/nodes/taevid.py:121

MethodINPUT_TYPES

(cls)

py/nodes/blockCFG.py:69

MethodINPUT_TYPES

(cls)

py/nodes/sageAttention.py:305

MethodINPUT_TYPES

(cls)

py/nodes/sageAttention.py:444

MethodINPUT_TYPES

(cls)

py/nodes/sageAttention.py:818

MethodINPUT_TYPES

(cls)

py/nodes/deepShrink.py:21

MethodINPUT_TYPES

(cls)

py/nodes/refinerAfter.py:12

Method__call__

( self, a, b, t, *, cpu=False, collapse_dims=(),

py/latent_utils.py:504

Method__call__

( self, a: torch.Tensor, b: torch.Tensor | float, t: torch.Tensor | float,

py/latent_utils.py:1530

Method__call__

( self, a: _AT, b: torch.Tensor | float, t: torch.Tensor | float, *,

py/latent_utils.py:2874

Method__call__

(self, request: web.Request)

py/better_previews/last_preview.py:104

Method__call__

(self, *args: Any, **kwargs: Any)

py/nodes/misc.py:627

Method__call__

(self, model_options, *args: list[Any])

py/nodes/modelPatchConditional.py:59

Method__call__

(self, key, model_options, *args: list[Any])

py/nodes/modelPatchConditional.py:83

Method__call__

(self, *args: list, **kwargs: dict)

py/nodes/blockCFG.py:284

Method__call__

(self, *args, **kwargs)

py/nodes/sageAttention.py:378

Method__contains__

(self, k: str)

py/latent_utils.py:3044

Method__getattr__

(self, key)

py/better_previews/previewer.py:154

py/nodes/sageAttention.py:381

Method__getitem__

(self, k: str)

py/latent_utils.py:3055

Method__init__

( self, *, device: str | torch.device | None = None, use_float64: bool = False

py/latent_utils.py:1309

Method__init__

Wraps any blending function to operate on 'Probability Tiers'. :param blend_function: Callable with signature (a, b, blend_ratio) :pa

py/latent_utils.py:1484

Method__init__

( self, f, norm=None, norm_dims: tuple = (-3, -2, -1), rev: bool = Fal

py/latent_utils.py:2773

Method__init__

(self, builtins=None)

py/latent_utils.py:2928

( self, *, wave: str = DEFAULT_WAVE, level: int = DEFAULT_LEVEL, mode:

py/wavelet_functions.py:37

Method__init__

(self, *, min_refresh: int = 5)

py/better_previews/last_preview.py:82

Method__init__

( self, n_in: int, n_out: int, *, wide: bool = False, )

py/better_previews/tae_vid.py:53

Method__init__

(self, n_f, stride)

py/better_previews/tae_vid.py:110

Method__init__

(self, model)

py/better_previews/tae_vid.py:121

Method__init__

( self, *, checkpoint_path: str | Path, vmi: VideoModelInfo, image_cha

py/better_previews/tae_vid.py:233

Method__init__

(self, *args: Any, **kwargs: Any)

py/better_previews/tae_vid.py:460

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