ComfyUI Extension: ComfyUI-LTXAudioLatentTrim
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Utility nodes for trimming and processing LTX2 AV audio latents in ComfyUI sliding window generation workflows.
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README
ComfyUI-LTXAudioLatentTrim
Two small utility nodes for working with LTX2 AV audio latents in ComfyUI.
Nodes
LTX Audio Latent Trim
Trims an LTX audio latent [B, C, T, F] along the temporal dimension using start/end latent frame indices. Supports negative indexing (end_index=-1 = last frame inclusive).
Why it exists: LTX2 audio latents are 4D tensors [B, C, T, F], while video latents are 5D [B, C, T, H, W]. The existing trimming nodes in ComfyUI and KJNodes (LTXVSelectLatents, GetLatentRangeFromBatch) either expect 5D tensors or index the batch dimension rather than the temporal dimension — making them unusable for audio latent trimming in sliding window workflows. This node handles the 4D case correctly.
Latent Strip Mask
Removes the noise_mask key from a latent dict.
Why it exists: LTXVAddLatents attempts to merge noise masks from both inputs. When a trimmed audio latent still carries its mask from a previous generation pass, the merge logic fails with a dimension mismatch. Stripping the mask before concatenation avoids this.
Use case
These nodes are primarily useful in long-form LTX2 AV sliding window generation workflows, where audio and video latents must be trimmed and accumulated independently across multiple sampling passes.
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.