LTXV Time-Gated LoRA (LTX 2.3)

LTX 2.3 is finally good enough that you want to do more with it than one flat style for a whole clip. But every LoRA you load applies at one strength for the entire video, and prompt adherence is still the model's weakest axis - asking a single prompt to deliver "realistic, then claymation in the middle, then realistic again" is a gamble. The old answer was rendering segments separately and stitching them, which is where temporal consistency goes to die.

This node is the alternative: it schedules a visual LTX 2.3 LoRA's strength over the video timeline inside a single continuous sampling run. The demo that ships with it is a clip that starts realistic, turns claymation for the middle third, then snaps back - one render, no cuts. Same trick works for an age-slider reveal (adult → younger → elderly) or for chaining two scheduled LoRAs in one clip.

Know what you're adopting, though. This is from Jinx138's ComfyUI-LTXV-TimeGated-LoRA pack, a young and small one - the author's r/comfyui launch post (June 2026) describes it as their first public custom node and got zero replies. The README and bundled workflows are the documentation, and there's no community lore to fall back on. You're an early adopter, and the reward is a genuinely neat idea.

How it works

The node reads the real video timeline from the video_latent you feed it (LTX 2.3's temporal compression is fixed at 8), builds a per-frame strength envelope, then wraps the model so the LoRA's effective strength equals strength_model × the local envelope value at that point in the clip. Audio LoRA layers are deliberately ignored - this is visual gating only. Multiple instances stack additively, which is how you get a rain LoRA on for one third and a color LoRA on for another.

Placement matters. This patches the model at runtime, so it goes last in the MODEL chain, immediately before the sampler or guider - not in the static LoRA group near the loader. And connect video_latent from the final video-only latent, before any audio/video concat. Feed it a combined AV latent and the timeline math goes wrong.

Inputs you'll actually set

• lora_name - any visual LTX 2.3 LoRA from your loras folder.
• strength_model - the global multiplier. Effective strength is this × the envelope. Don't assume 1.0 is the ceiling; the author's own docs say LTX 2.3 LoRAs often want more, and slider/transform LoRAs take signed values.
• effect_region plus strength_before / strength_during / strength_after - the active interval (quarters, thirds, halves) and the strength on either side. ramp_mode=flat makes a hard step; q_curve with ramp_q softens the transition.
• schedule_mode=manual_frames swaps the region presets for exact segment_lengths / segment_strengths CSV when you need frame-exact control.

Outputs: model (the patched chain), video_latent (unchanged passthrough so stacked nodes wire cleanly), schedule_info (a string reporting resolved frames, region and warnings - read it when something looks off), and data, the envelope payload that feeds the pack's curve preview.

Install

The pack has zero dependencies (pyproject declares none; it uses ComfyUI's bundled torch/PIL) and no model downloads - the LoRA comes from your existing folder:

cd ComfyUI/custom_nodes
git clone https://github.com/Jinx138/ComfyUI-LTXV-TimeGated-LoRA

Restart ComfyUI and it shows up under LTXV/LoRA. ComfyUI Manager works too - search "LTXV Time-Gated LoRA" in the registry tab.

Where people get burned

• Effect weak or invisible? With I2V, a strong image anchor suppresses LoRA transformations. Lower the anchor to roughly 0.2–0.5 before blaming the LoRA.
• Gate is right but the style still bleeds afterward? A real LoRA can shift later video semantics even when the gate itself is temporally correct.
• "Stale TemporalLoRALinearWrapper" error? Restart ComfyUI before testing again.
• transition_frames only does anything in manual_frames mode or the transition_frames envelope mode - local/hold_strength modes use the neighbor segment length as the ramp duration.
• After updating the pack, replace node instances rather than reusing old ones; the v1.1 widget layout shifted.
• torch.compile isn't supported. SageAttention works, but keep allow_compile=false.