Warm-cache generation times (second run, models already in VRAM). RTX PRO 6000 Blackwell 96GB.
Prompt
A close-up shot of a young woman with auburn hair sitting at a wooden desk in a warmly lit study. She looks directly at the camera and says in a clear, friendly voice: "Hello everyone, welcome to vMonad. Today I want to show you something really exciting about our new media generation platform." Soft window light from the left, shallow depth of field, cinematic 50mm lens, natural skin tones, warm color grading.
Native Distilled
Kijai Simple (Distilled)
Kijai Upscale (Distilled)
T2AV
Best
14.8s
1280x704 / 802 KB / with upscaler
Ok
8.5s
640x352 / 781 KB / no upscaler
Good
29.5s
1280x704 / 2.6 MB / 2-stage upscaler
TA2AV
Best
28.7s
1280x704 / 1.1 MB / with upscaler Kino voice conditioned
Worst
9.1s
640x352 / 894 KB / no upscaler Kino voice conditioned
Ok
31.8s
1280x704 / 2.6 MB / 2-stage upscaler Kino voice conditioned
IT2AV
Good
23.9s
1280x704 / 1.7 MB / 9.0s / with upscaler Audio correct but not pleasant
Best
39.6s
1280x704 / 2.5 MB / 9.0s / no upscaler Best audio quality
768x1280 (portrait!) / 8.0s / 2-stage, 62 nodes.
Same dimension swap bug as FFLF.
Uses LTXVAddGuideMulti (kijai-specific).
V2A Foley
Best
24.7s
854x478 / 5.0s / Single-stage native pipeline.
Better prompt adherence than Kijai.
Prompt: "Starwars army of soldiers walking"
Saved to: comfynative/workflows/video_ltx2_v2a_foley_native.json
Ok
60.9s
854x478 / 5.0s / 2-stage + LoopingSampler + AudioNorm.
Weaker prompt adherence. Same RuneXX V2A Foley pipeline.
Slower due to LTXVLoopingSampler refinement pass.
Talking Avatar
Best
54.1s
1280x768 / 7.6s / Single-stage, full resolution.
LTXVImgToVideo + CFGGuider cfg=1 + Camera Control LoRA.
Qwen3 TTS voice clone audio muxed post-generation.
No transitions, strong identity lock, clean output.
23 nodes (vs 58 kijai). Only 1 third-party dep: TTS.
Saved to: comfynative/workflows/video_ltx2_talking_avatar_native.json
Ok
~40s
640x384 / 6.0s / Stage 1 only (upscale bypassed).
Lip sync works but low resolution, not sharp.
Upscale pass causes dithering + destroys audio.
Workflow had 2 broken connections in API JSON.
Worst
85.2s
1280x768 / 6.0s / 2-stage with upscale.
Dithering artifacts from upscale pass.
Model audio destroyed by stage 2 sampling.
All 22 workflows from RuneXX/LTX-2-Workflows
on HuggingFace, auto-converted and submitted with same test inputs.
All workflows use LTX-2 19B distilled FP8 model at 25fps. Audio generated natively by LTX-2 from prompt text (not TTS).
Timing is wall-clock for the second run with models warm in VRAM. First run includes model loading.
T2AV = text only. IT2AV = image + text input. ITA2AV = image + text + audio input (Kino voice conditioned).
ITA2AV uses MelBandRoFormer vocal extraction + SetLatentNoiseMask to preserve voice through sampling.