Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add artokun/comfyui-mcp --skill ltxv2-videogit clone --depth 1 https://github.com/artokun/comfyui-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/artokun/comfyui-mcp/ltxv2-video)<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/ltxv2-video"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/ltxv2-video/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/ltxv2-video"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/ltxv2-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- high Prompt Injection · line 204 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00065 | $0.08460 |
| Opus 5 | $0.00032 | $0.04230 |
| Sonnet 5 | $0.00013 | $0.01692 |
| Haiku 4.5 | $0.00006 | $0.00846 |
Grade A, and why
ltxv2-video scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- ltxv2-video — 88% identical, 211 lines differ
How it starts
The opening of the file, as written. The whole thing — 475 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LTX-2 / LTX-2.3 Video Workflows
Version naming (read this first)
There is no "LTX 3.2" or "LTX2.3" as separate products. The user's shorthand refers to Lightricks LTX-2.3, a point release of the LTX-2 family. The lineage is:
- LTX-Video (2024): first text-to-video model from Lightricks.
- LTX-2 / LTX-V2 (Oct 2025): 19B-class DiT audio-video foundation model. Bundled checkpoint
ltx-2-19b-distilled.safetensors, Gemma 3 12B text encoder. - LTX-2.3 (released ~March 2026): 22B-parameter DiT update. Rebuilt VAE (sharper textures/faces/hair/text), ~4x larger text connector (text projection) for prompt adherence, native 9:16 portrait, LoRA support, HiFi-GAN vocoder for cleaner synchronized audio, up to 4K@50fps / ~20s clips. Apache 2.0. Distributed primarily as GGUF UNets (community quants) plus separate VAE / text-encoder / text-projection files, NOT a single bundled checkpoint like LTX-2.
When the user says "LTX3.2" / "LTX2.3", treat it as LTX-2.3. This skill covers both LTX-2 (bundled checkpoint path) and LTX-2.3 (GGUF UNet path).
⭐ Render-verified correct setup (read this FIRST — 2026-06-19)
The GGUF-UNet +
DualCLIPLoader+gemma_3_12B_it_fp4_mixedpath documented later in this skill (the Aitrepreneur installer path) produces soft/mushy video with inaccurate faces and eyes. It runs, but it is NOT the quality path. The setup below is the official Comfy-Org template, render-proven sharp (1280×704, accurate faces, synchronized 48 kHz stereo audio).
Models (exact, render-verified)
| Component | File | Source repo | Folder | Notes |
|---|---|---|---|---|
| Checkpoint | ltx-2.3-22b-dev.safetensors (46 GB, max quality) or ltx-2.3-22b-dev-fp8.safetensors (~23 GB, official VRAM-friendly) |
Lightricks/LTX-2.3 / Lightricks/LTX-2.3-fp8 |
checkpoints/ (NOT unet/) |
The checkpoint carries the transformer and the audio VAE. Loaded by CheckpointLoaderSimple + reused by LTXVAudioVAELoader + LTXAVTextEncoderLoader. |
| Gemma text encoder | gemma_3_12B_it_fp8_scaled.safetensors (13 GB) |
Comfy-Org/ltx-2 → split_files/text_encoders/ |
text_encoders/ |
Use fp8_scaled (unpacked). The Aitrepreneur fp4_mixed mirror file is truncated (5.3 GB vs 9.4 GB) AND a packed-fp4 layout core can't reshape → shape [15360,1920] invalid for input 27582328. |
| Distilled speed LoRA | ltx_2.3_22b_distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16.safetensors @ 0.5 |
Comfy-Org/ltx-2.3 → split_files/loras/ |
loras/ |
The newer dynamic rank-111 distilled LoRA — NOT the older ...384-1.1. |
| Gemma abliterated LoRA ⭐ | gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors @ 1.0 |
Comfy-Org/ltx-2 → split_files/loras/ |
loras/ |
Applied to the text-encoder CLIP via a LoraLoader. This is the prompt-accuracy / correct-eyes fix. Missing this = subtly-wrong faces. |
| Spatial upscaler | ltx-2.3-spatial-upscaler-x2-1.1.safetensors |
Lightricks/LTX-2.3 |
latent_upscale_models/ |
Used by the stage-2 LTXVLatentUpsampler. Use x2-1.1, not x2-1.0. |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 475 lines · 65 tokens per session scan A 93bac4aa0ebb
ltxv2-video is a skill published in the GitHub repository artokun/comfyui-mcp (739 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 8,460 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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