MCPcopy Create free account

hub / github.com/Lightricks/ComfyUI-LTXVideo / functions

Functions429 in github.com/Lightricks/ComfyUI-LTXVideo

⨍ Functions 429◇ Types & classes 117
Methodbuild
( self, model, latent_image, eta, start_step, end_step,
tricks/nodes/rectified_sampler_nodes.py:250
Methodbuild
(self, skip_steps, refine_steps, seed)
tricks/nodes/ltx_flowedit_nodes.py:178
Methodbuild
( self, save_steps, single_layers=DEFAULT_SINGLE_LAYERS, double_layers=DEFAULT
tricks/nodes/rf_edit_sampler_nodes.py:177
Methodbuild
( self, attn_inj, inject_steps, single_layers=DEFAULT_SINGLE_LAYERS, d
tricks/nodes/rf_edit_sampler_nodes.py:312
Methodbuild
(self, *args, **kwargs)
tricks/nodes/rf_edit_sampler_nodes.py:358
Methodbuild
(self, *args, **kwargs)
tricks/nodes/rf_edit_sampler_nodes.py:375
Methodcalculate_denoised
(self, sigma, model_output, model_input)
tricks/nodes/ltx_inverse_model_pred_nodes.py:10
Methodcalculate_denoised
(self, sigma, model_output, model_input)
tricks/nodes/ltx_inverse_model_pred_nodes.py:54
Methodcalculate_input
(self, sigma, noise)
tricks/nodes/ltx_inverse_model_pred_nodes.py:7
Methodcalculate_input
(self, sigma, noise)
tricks/nodes/ltx_inverse_model_pred_nodes.py:51
Methodcfg_adain
(latent, factor)
latent_norm.py:268
Methodcfg_stat_norm
(latent, factor)
latent_norm.py:326
Functioncomfy_node
Decorator for registering a node class with optional name, description, and status flags. Args: node_class (Type): The class of the
nodes_registry.py:63
Methodcompress
(self, hdr: Tensor)
hdr.py:40
Methodcreate_embeddings
(self, features, attention_mask)
text_embeddings_connectors.py:228
Methoddecode_spatial_temporal
( self, vae, latents, spatial_tiles=4, spatial_overlap=1, temp
tiled_vae_decode.py:349
Methoddefine_schema
(cls)
iclora.py:22
Methoddefine_schema
(cls)
iclora.py:270
Methoddefine_schema
(cls)
iclora.py:472
Methoddefine_schema
(cls)
iclora.py:547
Methoddefine_schema
(cls)
low_vram_loaders.py:104
Methoddefine_schema
(cls)
conditioning_loader.py:16
Methoddefine_schema
(cls)
pyramid_blending.py:182
Methoddefine_schema
(cls)
easy_samplers.py:918
Methoddefine_schema
(cls)
sparse_tracks.py:74
Methoddefine_schema
(cls)
sparse_tracks.py:218
Methoddefine_schema
(cls)
vanish_nodes.py:13
Methoddefine_schema
(cls)
vanish_nodes.py:103
Methoddefine_schema
(cls)
conditioning_saver.py:15
FunctiondocClickHandler
(e)
web/js/sparse_track_editor.js:555
Methodencode
( self, api_key: str, prompt: str, ckpt_name: str, enhance_prompt: bool = False )
gemma_api_conditioning.py:100
Methodencode_token_weights
(self, token_weight_pairs)
gemma_encoder.py:129
Methodenhance
( self, prompt, prompt_enhancer: comfy.model_patcher.ModelPatcher, image_promp
prompt_enhancer_nodes.py:189
Methodenhance
( self, clip, prompt: str, system_prompt: str, max_tokens: int,
gemma_encoder.py:335
Methodexecute
( cls, positive, negative, vae, latent, image, frame_i
iclora.py:148
Methodexecute
( cls, positive, negative, vae, latent, image, frame_i
iclora.py:348
Methodexecute
(cls, model, lora_name, strength_model)
iclora.py:499
Methodexecute
(cls, model_name, dependencies=None)
low_vram_loaders.py:126
Methodexecute
(cls, file_name: str, device: str)
conditioning_loader.py:34
Methodexecute
( cls, image_a: torch.Tensor, image_b: torch.Tensor, mask: torch.Tensor,
pyramid_blending.py:219
Methodexecute
( cls, image, points_store: str, coordinates: str, points_to_sample: i
sparse_tracks.py:112
Methodexecute
(cls, tracks: str, width: int, height: int)
sparse_tracks.py:255
Methodexecute
( cls, spatial_radius: int, temporal_radius: int, mask: torch.Tensor | None =
vanish_nodes.py:53
Methodexecute
( cls, images: torch.Tensor, mask: torch.Tensor, )
vanish_nodes.py:127
Methodexecute
(cls, conditioning: list, filename: str, dtype: str)
conditioning_saver.py:29
Methodfingerprint_inputs
(cls, file_name: str, device: str)
conditioning_loader.py:67
Functionflowedit_sample
( model, x_init, sigmas, extra_args=None, callback=None, disable=None )
tricks/nodes/ltx_flowedit_nodes.py:85
Methodforward
(self, hidden_states, attention_mask=None, pe=None)
embeddings_connector.py:88
Methodforward
The [`Transformer2DModel`] forward method. Args: hidden_states (`torch.LongTensor` of shape `(batch size, num latent pix
embeddings_connector.py:261
Methodforward
(self, prompt, image_conditioning, max_resulting_tokens)
prompt_enhancer_nodes.py:41
Methodforward
(self, all_layer_hiddens, attention_mask, padding_side="left")
text_embeddings_connectors.py:173
Methodforward
(self, all_layer_hiddens, attention_mask, padding_side="left")
text_embeddings_connectors.py:199
Methodforward
( self, sigma: torch.Tensor, denoise_mask: torch.Tensor, extra_options: dict )
dynamic_conditioning.py:36
Methodforward
(self, input_ids, attention_mask, padding_side="right")
gemma_encoder.py:114
Methodforward
(self, x, context=None, mask=None, pe=None, transformer_options={})
tricks/modules/ltx_model.py:18
Methodforward
( self, x, context=None, attention_mask=None, timestep=None, p
tricks/modules/ltx_model.py:99
Methodforward
( self, x, timestep, context, attention_mask, frame_rate=25,
tricks/modules/ltx_model.py:133
Methodgenerate
(self, image, vae, latent, strength, bypass=False)
latents.py:558
Methodgenerate
(self)
audio_only.py:82
Methodgenerate
( self, positive, negative, vae, latent, image, frame_
guide.py:101
Methodgenerate
( self, positive, negative, vae, image, width, height,
guide.py:223
Methodgenerate
( self, positive, negative, vae, latent, image, frame_
guide.py:369
Methodgenerate
(self, model, latent, image_latent, index, strength)
tricks/nodes/latent_guide_node.py:23
Methodget_guider
(self, model, positive, negative, cfg, stg, rescale)
stg.py:535
Methodget_guider
( self, model, positive, negative, skip_steps_sigma_threshold,
stg.py:705
Methodget_guider
( self, model, positive, negative, cfg_scale, eta, nor
stg.py:925
Methodget_guider
( self, model, source_pos, source_neg, target_pos, target_neg,
tricks/nodes/ltx_flowedit_nodes.py:60
Methodget_guider
(self, model, positive, negative, parameters, skip_blocks)
guiders/multimodal_guider.py:306
Methodget_parameters
( self, modality, cfg, stg, perturb_attn, rescale, mod
guiders/parameters.py:137
Methodget_preset
(self, preset=None)
stg.py:793
Methodget_prompt_list
(self, prompts, clip)
looping_sampler.py:967
Functionget_sample_reverse2
(attn_bank, inject_steps, single_layers, double_layers)
tricks/nodes/rf_edit_sampler_nodes.py:220
Methodhandle_negative_index
(value)
looping_sampler.py:588
Functionidendity_quant_fn
(x, t)
q8_nodes.py:142
Methodinverse_noise_scaling
(self, sigma, latent)
tricks/nodes/ltx_inverse_model_pred_nodes.py:17
Methodinverse_noise_scaling
(self, sigma, latent)
tricks/nodes/ltx_inverse_model_pred_nodes.py:61
Functionisinstance_str
(x: object, cls_name: str)
tricks/utils/module_utils.py:1
Methodload_audio_vae_sequentially
( self, ckpt_name: str, dependencies: object = None, # noqa: ARG002 - required for Co
low_vram_loaders.py:89
Methodload_checkpoint_sequentially
( self, ckpt_name: str, dependencies: object = None, # noqa: ARG002 - required for Co
low_vram_loaders.py:50
Methodload_lora_model_only
(self, model, lora_name, strength_model)
q8_nodes.py:212
Methodload_sd
(self, sd)
gemma_encoder.py:155
Methodmemory_required
(self, input_shape)
gemma_encoder.py:158
Methodmodify
(self, model)
tricks/nodes/modify_ltx_model_node.py:18
FunctionnodeCreated
(node)
web/js/guider_parameters_advanced.js:262
FunctionnodeCreated
(node)
web/js/sparse_track_editor.js:113
Methodnoise_scaling
(self, sigma, noise, latent_image, max_denoise=False)
tricks/nodes/ltx_inverse_model_pred_nodes.py:14
Methodnoise_scaling
(self, sigma, noise, latent_image, max_denoise=False)
tricks/nodes/ltx_inverse_model_pred_nodes.py:58
Methodnorm_fn
(args)
latent_norm.py:231
Methodop
(self, a: float)
utiltily_nodes.py:48
Methodpag_fn
(q, k, v, heads, attn_precision=None, transformer_options=None)
tricks/nodes/ltx_pag_node.py:89
Methodpatch
(self, model: ModelPatcher)
audio_only.py:55
Methodpatch
( self, model, use_fp8_attention, quantization_preset, quantize_self_a
q8_nodes.py:85
Methodpatch
(self, vae)
vae_patcher.py:21
Methodpatch
( self, model, scale, rescale, cfg, attn_override=DEFAULT_PAG_LTX, attn_type="PAG" )
tricks/nodes/ltx_pag_node.py:84
Methodpatch
(self, model)
tricks/nodes/ltx_inverse_model_pred_nodes.py:35
Methodpatch
(self, model)
tricks/nodes/ltx_inverse_model_pred_nodes.py:79
Methodpatch_model
(self, model, factors, reference, per_frame=False)
latent_norm.py:267
Methodpatch_model
( self, model, factors, target_mean, target_std, percentile, clip_outliers )
latent_norm.py:323
Methodpost_cfg_function
(args)
tricks/nodes/ltx_pag_node.py:102
Methodpostprocess
( self, image: torch.Tensor, exposure: float = 0.0, save_exr: bool = False,
hdr.py:171
← previousnext →301–400 of 429, ranked by callers