MCPcopy Create free account

hub / github.com/Lightricks/ComfyUI-LTXVideo / types & classes

Types & classes117 in github.com/Lightricks/ComfyUI-LTXVideo

↓ 9 callersClassLTXVAddLatentGuide
latents.py:401
↓ 9 callersClassLTXVSelectLatents
Selects a range of frames from a video latent. Features: - Supports positive and negative indexing - Preserves batch processing capa
latents.py:14
↓ 4 callersClassLTXVDilateLatent
latents.py:335
↓ 3 callersClassGuiderParameters
guiders/parameters.py:12
↓ 3 callersClassSTGFlag
stg.py:117
↓ 2 callersClassAttentionBank
tricks/utils/attn_bank.py:1
↓ 2 callersClassLTXVAdainLatent
latent_norm.py:11
↓ 2 callersClassModelSamplingAdvanced
tricks/nodes/ltx_inverse_model_pred_nodes.py:41
↓ 2 callersClassMomentumBuffer
stg.py:36
↓ 2 callersClassSTGBlockWrapper
Wraps transformer blocks to be able to skip attention layers.
stg.py:169
↓ 1 callersClassAPGGuider
stg.py:797
↓ 1 callersClassAVEmbeddingsProcessor
Audio-video embeddings processor: dual connectors + concat.
text_embeddings_connectors.py:234
↓ 1 callersClassAnyType
Custom type that matches any ComfyUI type for dependency inputs.
low_vram_loaders.py:17
↓ 1 callersClassBasicTransformerBlock1D
r""" A basic Transformer block. Parameters: dim (`int`): The number of channels in the input and output. num_attention_heads
embeddings_connector.py:21
↓ 1 callersClassEmbeddings1DConnector
embeddings_connector.py:117
↓ 1 callersClassFeatureExtractorV1
19B: per-segment norm -> aggregate_embed -> 3840
text_embeddings_connectors.py:165
↓ 1 callersClassFeatureExtractorV2
22B: per-token RMS norm -> rescale -> aggregate_embed(s)
text_embeddings_connectors.py:185
↓ 1 callersClassFlowEditGuider
tricks/nodes/ltx_flowedit_nodes.py:6
↓ 1 callersClassLTXVBaseSampler
easy_samplers.py:37
↓ 1 callersClassLTXVExtendSampler
easy_samplers.py:301
↓ 1 callersClassLTXVInContextSampler
easy_samplers.py:630
↓ 1 callersClassLTXVStatNormLatent
latent_norm.py:78
↓ 1 callersClassLinearOverlapLatentTransition
easy_samplers.py:847
↓ 1 callersClassLogC3
ARRI LogC3 (EI 800) HDR compression. Maps linear [0, inf) -> [0, 1] via the camera log curve, then scales to [-1, 1] for VAE input.
hdr.py:25
↓ 1 callersClassModelConfig
Configuration for model components.
looping_sampler.py:53
↓ 1 callersClassMultimodalGuider
guiders/multimodal_guider.py:13
↓ 1 callersClassPatchAttention
stg.py:123
↓ 1 callersClassPromptEnhancer
prompt_enhancer_nodes.py:20
↓ 1 callersClassSTGGuider
stg.py:189
↓ 1 callersClassSTGGuiderAdvanced
stg.py:320
↓ 1 callersClassSamplingConfig
Configuration for sampling parameters.
looping_sampler.py:32
↓ 1 callersClassTileConfig
Configuration for spatial tile processing.
looping_sampler.py:13
↓ 1 callersClassVideoEmbeddingsProcessor
Video-only embeddings processor: single connector.
text_embeddings_connectors.py:221
ClassAPGGuiderNode
stg.py:888
ClassAddLatentGuideNode
tricks/nodes/latent_guide_node.py:4
ClassDecoderNoise
decoder_noise.py:7
ClassDynamicConditioning
dynamic_conditioning.py:7
ClassFloatToInt
utiltily_nodes.py:39
ClassFlowEdit2ReverseSamplerNode
tricks/nodes/rf_edit_sampler_nodes.py:290
ClassFlowEditForwardSamplerNode
tricks/nodes/rf_edit_sampler_nodes.py:156
ClassGemmaAPITextEncode
Encodes text prompts using the LTX Video API, returning CONDITIONING for LTX-2 models. This node replaces the local CLIP encoding step by se
gemma_api_conditioning.py:43
ClassGuiderParametersNode
guiders/parameters.py:78
ClassImageToCPU
utiltily_nodes.py:53
ClassInverseCONST
tricks/nodes/ltx_inverse_model_pred_nodes.py:6
ClassLTXAddVideoICLoRAGuide
iclora.py:18
ClassLTXAddVideoICLoRAGuideAdvanced
Extended IC-LoRA guide node with per-guide attention strength control. Same as LTXAddVideoICLoRAGuide, but adds attention_strength and attent
iclora.py:261
ClassLTXAttentioOverrideNode
tricks/nodes/attn_bank_nodes.py:77
ClassLTXAttentionBankNode
tricks/nodes/attn_bank_nodes.py:4
ClassLTXAttnOverrideNode
tricks/nodes/attn_override_node.py:9
ClassLTXFetaEnhanceNode
tricks/nodes/ltx_feta_enhance_node.py:6
ClassLTXFlowEditCFGGuiderNode
tricks/nodes/ltx_flowedit_nodes.py:34
ClassLTXFlowEditSamplerNode
tricks/nodes/ltx_flowedit_nodes.py:155
ClassLTXForwardModelSamplingPredNode
tricks/nodes/ltx_inverse_model_pred_nodes.py:21
ClassLTXICLoRALoaderModelOnly
iclora.py:470
ClassLTXModifiedBasicTransformerBlock
tricks/modules/ltx_model.py:98
ClassLTXModifiedCrossAttention
tricks/modules/ltx_model.py:17
ClassLTXPerturbedAttentionNode
tricks/nodes/ltx_pag_node.py:36
ClassLTXPrepareAttnInjectionsNode
tricks/nodes/attn_bank_nodes.py:30
ClassLTXRFForwardODESamplerNode
tricks/nodes/rectified_sampler_nodes.py:174
ClassLTXRFReverseODESamplerNode
tricks/nodes/rectified_sampler_nodes.py:224
ClassLTXReverseModelSamplingPredNode
tricks/nodes/ltx_inverse_model_pred_nodes.py:65
ClassLTXVAddGuideAdvanced
guide.py:21
ClassLTXVAddGuideAdvancedAttention
Extended keyframe guide node with per-guide attention strength control. Same preprocessing as LTXVAddGuideAdvanced (CRF, blur, interpolation, cro
guide.py:258
ClassLTXVAddLatents
Concatenates two video latents along the frames dimension. Features: - Validates dimension compatibility - Handles device placement
latents.py:94
ClassLTXVApplySTG
stg.py:75
ClassLTXVAudioOnlyEmptyVideoLatent
audio_only.py:65
ClassLTXVAudioOnlyModel
audio_only.py:28
ClassLTXVDilateVideoMask
Dilates a video mask spatially and/or temporally using max-pooling and thresholds the result.
vanish_nodes.py:9
ClassLTXVDrawTracks
GPU-accelerated sparse track renderer. Renders circles at a high reference resolution and downscales with bilinear interpolation so circle si
sparse_tracks.py:209
ClassLTXVGemmaCLIPModelLoader
gemma_encoder.py:217
ClassLTXVGemmaEnhancePrompt
Enhance prompts using Gemma 3 model. Supports T2V and I2V modes.
gemma_encoder.py:294
ClassLTXVGemmaTextEncoderModel
gemma_encoder.py:86
ClassLTXVGemmaTokenizer
gemma_encoder.py:51
ClassLTXVHDRDecodePostprocess
Decompress HDR from VAE output, tonemap for preview, optionally save EXR. Place after VAE Decode in an HDR IC-LoRA workflow. Recovers linear HDR
hdr.py:88
ClassLTXVImgToVideoAdvanced
guide.py:141
ClassLTXVImgToVideoConditionOnly
Applies image conditioning to the first frames of a video latent. Features: - Takes existing latent and applies image conditioning -
latents.py:499
ClassLTXVInpaintPreprocess
Composites images with a green (#66FF00) background where mask is active. If the mask has a single frame it is broadcast to match the video lengt
vanish_nodes.py:96
ClassLTXVLaplacianPyramidBlend
Blend two images seamlessly using Laplacian pyramid blending with a mask.
pyramid_blending.py:178
ClassLTXVLoadConditioning
conditioning_loader.py:14
ClassLTXVLoopingSampler
looping_sampler.py:67
ClassLTXVModelModified
tricks/modules/ltx_model.py:131
ClassLTXVNormalizingSampler
easy_samplers.py:916
ClassLTXVPatcherVAE
vae_patcher.py:7
ClassLTXVPerStepAdainPatcher
latent_norm.py:248
ClassLTXVPerStepStatNormPatcher
latent_norm.py:277
ClassLTXVPreprocessMasks
Preprocesses masks for use with the LTXVideo model's latent masking. This node handles temporal mask processing by: 1. Validating mask d
masks.py:11
ClassLTXVPromptEnhancer
prompt_enhancer_nodes.py:161
ClassLTXVPromptEnhancerLoader
prompt_enhancer_nodes.py:65
ClassLTXVQ8LoraModelLoader
q8_nodes.py:147
ClassLTXVQ8Patch
q8_nodes.py:46
ClassLTXVSaveConditioning
conditioning_saver.py:13
ClassLTXVSetAudioRefTokens
Provide speaker identity context for audio generation. Patchifies the audio latent and attaches it as reference tokens on both positive and n
iclora.py:534
ClassLTXVSetAudioVideoMaskByTime
latents.py:636
ClassLTXVSetVideoLatentNoiseMasks
Applies multiple masks to a video latent. Features: - Supports multiple input mask formats (2D, 3D, 4D) - Automatically handles fewe
latents.py:209
ClassLTXVSparseTrackEditor
Interactive spline editor for drawing sparse motion tracks. Provides a canvas widget where users can draw and edit spline control points on t
sparse_tracks.py:65
ClassLTXVSpatioTemporalTiledVAEDecode
tiled_vae_decode.py:274
ClassLTXVTiledSampler
tiled_sampler.py:15
ClassLTXVTiledVAEDecode
tiled_vae_decode.py:11
ClassLatentGuide
tricks/utils/latent_guide.py:4
ClassLowVRAMAudioVAELoader
Load LTXV Audio VAE with dependency input for sequential loading in low VRAM scenarios.
low_vram_loaders.py:58
next →1–100 of 117, ranked by callers